As our world becomes increasingly quantitative and dataoriented, there is growing
demand for STEM experts. As part of the STEM workforce, mathematicians contribute
to society by expanding the theoretical foundations of knowledge, aiding scientists
in experimental design and data interpretation, guiding industries to make sound,
databased decisions, and educating future generations. MTSU’s Master of Science in
Mathematics engages students in learning, teaching, and creating advanced mathematics
through quality instruction, research, internship, and close facultystudent interactions.
The Pure and Applied Mathematics concentration is a comprehensive and flexible program
which provides students with both a broad understanding of advanced mathematics and
specialized knowledge in a chosen field. As such, this concentration can be tailored
to prepare students for either industry/government employment or doctoral studies.
The Mathematics Education concentration provides students with advanced subject knowledge
and knowledge of the latest research on teaching and learning mathematics. This program
prepares students to excel in the classroom, teach dual enrollment and community college
courses, and/or continue toward a doctoral degree in mathematics education. Finally,
the Actuarial and Financial Mathematics concentration equips students with advanced
knowledge of actuarial and financial math. In addition, the program coursework deliberately
prepares students to pass actuarial exams. Graduates of this program are prepared
to pursue careers in industry or begin doctoral studies in actuarial and financial
math. All three concentrations provide students with opportunities to gain handson
experience through research. Students in the Actuarial and Financial Mathematics concentration
also have the opportunity to complete an internship.
Weekly seminars help grad find passion for graph theory
Hays Whitlatch earned his M.S. in Mathematics at MTSU following a recommendation from
a coworker and began work on his doctorate at the University of South Carolina in
fall 2014. Whitlatch had moved to the Nashville area for a job following his undergraduate
studies at the University of Iowa. "It was a great recommendation," he says. "One
thing that I really liked about MTSU is that professors are willing to invest much
time into curious students such as myself." One of these curious moments led him to
the weekly Discrete Mathematics seminars where he discovered a passion for graph theory.
Whitlatch, who wrote his thesis on "Isoperimetric Constants in Planar Graphs with
Hyperbolic Properties," ultimately wants to teach and research in a university environment.
His graduate teaching assistantship helped him both financially and in his development
as an educator.
Zhang awardwinning thesis focuses on cancer, imaging data
MTSU alum Fengqing “Zoe” Zhang (M.S. in Mathematics, 2010) joined Drexel University
as assistant professor in fall 2014 after finishing her Ph.D. in Statistics at Northwestern
University. She completed her MTSU master's thesis on "Imaging Mass Spectrometry Data
Analysis with Applications in Cancer Study" under the supervision of Dr. Don Hong.
The work led to three journal publications and earned the 2011 Master’s Thesis Award
for Digital Scholarship from the Conference of Southern Graduate Schools. Reviewers
called it "cuttingedge" because linking spectroscopy technology and the appliedstatistical
method is relatively new work. “During my master’s study, I had the chance to attend
various seminars and to present my work at regional and national conferences,” Zhang
says. “My training in mathematics, statistics, and teaching at MTSU provided a foundation
for my later study and research.” She holds a B.S. in Electrical Engineering from
Beijing University of Aeronautics and Astronautics.
Related Media

MTSU College of Graduate Studies

MTSU  The University of Opportunities
A majority of M.S. in Mathematics graduates pursue doctoral degrees. Many of our graduates
go on to obtain a Ph.D. in mathematics; others enter MTSU’s Computational and Data
Science (COMS) or Mathematics and Science Education (MSE) Ph.D. programs.
Pure and Applied Mathematics concentration graduates pursue a variety of career paths. Many of these graduates
go on to obtain doctoral degrees and a majority build careers in academics and/or
mathematical research. Other graduates pursue careers in applied industry where they
often work as data analyst. Finally, some graduates build careers in seemingly unrelated
fields where they heavily utilize the advanced problemsolving skills they learned
as mathematicians.
Mathematics Education concentration graduates often continue teaching at secondary and early tertiary levels.
The advanced credentials and subject knowledge gained through this program enable
these graduates to teach high school courses with increased mathematical rigor, transition
to community college teaching, and teach dual enrollment courses. Other graduates
of this concentration go on to pursue doctoral degrees in mathematics education and
build careers in academia and research.
Actuarial and Financial Mathematics concentration graduates often begin careers as actuaries immediately upon graduation.
Indeed, these students typically pass multiple actuarial exams prior to graduation
and frequently find employment at their internship site. Other graduates from this
concentration go on to pursue doctoral degrees in financial/actuarial mathematics
and related fields such as computational and data science.
Select doctoral programs accepting our recent M.S. in Mathematics graduates:
 Middle Tennessee State University
 University of Wisconsin
 University of South Carolina
 Baylor University
 University of Denver
 Iowa State
 University of Toronto
 Virginia Tech
 University of Florida
 Central University China
 Binghampton University
 University of TennesseeKnoxville
 Northwestern University
 Waterloo University
 University of Auckland
Graduate
Students may choose from three concentrations for the Master of Science (M.S.) in
Mathematics: Actuarial and Financial Mathematics, Pure and Applied Mathematics, or
Mathematics Education.
A minor in Mathematics is also available at the graduate level. The Department of
Mathematical Sciences also offers courses in the Master of Science in Professional
Science degree, which includes concentrations in Biostatistics and Actuarial Sciences.
For complete curriculum details, click on the REQUIREMENTS tab above.
Undergraduate
Undergraduate students interested in mathematical modeling and problem solving can
pursue a Bachelor of Science (B.S.) degree with a major in Mathematics and concentrations in Mathematics Education or Professional Mathematics. The department
also offers a B.S. in Actuarial Science
Undergraduate minors are available in three areas: Mathematics; Statistics; and Mathematics
for Managerial, Social, and Life Sciences.
Mathematics, Actuarial and Financial Mathematics Concentration, M.S.
Mathematics, Actuarial and Financial Mathematics Concentration, M.S.
Don Hong, Program Director
(615) 9048339
Don.Hong@mtsu.edu
The Master of Science in Mathematics with a concentration in Actuarial and Financial Mathematics includes examination, thesis, and internship options. Students electing the examination option must successfully complete a written comprehensive examination, which may be taken no more than twice. Students electing the internship option must enroll in 3 hours of internship in actuarial science (ACSI 6910). Students electing the thesis option must enroll in at least 3 hours of Thesis Research (MATH 6640) and publish a thesis with the graduate school. The examination and internship options require completion of 36 credit hours. The thesis option requires completion of 3642 credit hours. In addition, at most thirty percent of the total credit hours in the program may be at the 5000level, and no more than two special problems courses can apply toward the degree.
Please see undergraduate catalog for information regarding undergraduate programs.
Admission Requirements
Admission normally requires completion of the GRE or MAT with acceptable scores. Successful applicants typically have combined GRE scores of 291 or above or MAT scores of 402 or greater.
Applicant must
 have earned a bachelor's degree from an accredited university or college;
 have an acceptable grade point average for all college work taken;
 have completed 21 semester hours of collegelevel mathematics (including calculus) with at least 9 hours of mathematics beyond calculus.
Application Procedures
All application materials are to be submitted to the College of Graduate Studies.
Applicant must
 submit application with the appropriate application fee (online at www.mtsu.edu/graduate/apply.php). Once this initial application has been accepted, the applicant will receive directions on how to enter the graduate portal to be able to submit other materials.
 submit official scores on the GRE or MAT;
 submit official transcripts of all previous college work;
 have two recommendation forms submitted, one by a reference who has served as applicant's instructor in an institution of higher education and the second by a reference who has interacted professionally with applicant. Students interested in teaching or obtaining a graduate teaching assistantship should submit one reference which speaks to their potential to teach. NOTE: Letters of recommendation are not required.
 describe professional goals in 500 words or less and how this program would help to meet those goals.
Degree Requirements
The Master of Science in Mathematics with a concentration in Actuarial and Financial Mathematics requires completion of 36 semester hours (examination and internship option) or 3642 semester hours (thesis option).
Candidate must
 participate in the graduate seminar and give an oral presentation of an approved topic;
 successfully complete a master's thesis or engage in internship or a written comprehensive examination (may be taken no more than twice).
Curriculum: Mathematics, Actuarial and Financial Mathematics
The following illustrates the minimum coursework requirements. In addition, a maximum of 9 hours of thesis research may be required to fulfill degree requirements.
Examination Option (36 hours)
Required Core Courses (9 hours)
MATH 6120  Advanced Linear Algebra
3credit hours
Prerequisite: MATH 2010. Continuation of linear algebra topics in MATH 2010 including advanced topics in inner product spaces and structure of linear operators.
MATH 6170  Sets and Logic
3credit hours
Includes topics in three categories: 1) Propositions, predicates, quantifiers, truth tables, tautologies, and methods of mathematical proof including mathematical induction. 2) Sets, relations, functions, graphs, cardinality, and the Axiom of Choice. 3) Applications of these foundations to selected results in algebra and analysis as time permits. It is recommended that this course be taken early in the graduate program.
MATH 6190  Analysis I
3credit hours
Prerequisite: MATH 4250 or equivalent. Rigorous treatment of limits, continuity, differentiation, and integration; infinite series; introduction to metric spaces.
Required Concentration Courses (9 hours)
ACSI 6020  Construction and Evaluation of Actuarial Models
3credit hours
Prerequisite: ACSI 6010 or permission of instructor. Topics include construction of empirical models, construction and selection of parametric models, construction of models in presence of truncation and censoring, interpolation and smoothing, credibility theory, and simulation.
ACSI 6030  Actuarial Models for Life Contingencies
3credit hours
Prerequisites: STAT 3150 and ACSI 4230 or MATH 6604 or permission of instructor. Topics include survival distributions, life tables, life insurance, life annuities, and pensions, premiums and reserves, multiple lives, multiple decrements, models including expenses.
ACSI 6040  Actuarial Models for Financial Economics
3credit hours
Prerequisite: ACSI 4200/ACSI 5200 or MATH 6603 or permission of instructor. Topics include applications of stochastic processes to actuarial models, Poisson process, Markov process, interest rate models, arbitrage free models, valuation of derivative securities, financial risk management.
Comprehensive Examination
Candidates must successfully complete a written comprehensive examination which may be taken no more than twice.
Elective Concentration Courses (18 hours)
18 credit hours approved by advisor. Courses should be chosen from the following:
ACSI 5140  Mathematical Foundations of Actuarial Science
3credit hours
Prerequisite: STAT 3150 or consent of instructor. Integrates probability and risk management topics into fundamental tools for assessing risk in an actuarial environment. Probability topics include random variables, distributions, conditional probability, independence, and central limit theorems. Risk topics include frequency and severity. Insurance concepts such as retention, deductible, coinsurance, and risk premiums.
ACSI 5200  Introduction to Mathematics of Investment
3credit hours
(Same as MATH 5200.) Prerequisite: MATH 1920 or consent of instructor. Models and methods to analyze investments in bonds, treasury bills, stocks, and other derivatives. Topics include obtaining the price of bonds, stocks, and options; sensitivity analysis; investment performance assessment; portfolio analysis; capital asset pricing model; and mathematical modeling of investor preference and attitude toward risk.
ACSI 5220  Mathematics of Corporate Finance
3credit hours
Prerequisites: ACSI/MATH 4200/ACSI 5200/MATH 5200 and ECON 2410, 2420, or consent of instructor. Mathematics of capital budgeting and evaluation models in corporate finance. Topics include net present values, internal rate of return, profitability index; evaluation of projects, corporations, and stocks; capital asset pricing model; cost of capital; quantification of risk and uncertainty; capital budgeting; capital structure; income statement and financial planning.
ACSI 5230  Mathematics of Compound Interest
3credit hours
Prerequisites: ECON 2410, ECON 2420, ACSI/MATH 4200/ACSI 5200/MATH 5200, or consent of instructor. Topics include measurement of interest (including accumulating and present value factors), annuities certain, yield rates, amortization schedules, sinking funds, and bonds and related securities.
ACSI 5240  Mathematics of Interest Theory, Economics, and Finance
3credit hours
Prerequisites: ACSI 4230/ACSI 5230 or consent of instructor. Applies calculus and theory of interest tools to intermediate topics in microeconomics and macroeconomics and topics in finance. Topics include pricing activities, the simplified Keynesian model, interest and discount rates, valuation of payment streams, yield rates, amortization, cash flows and internal rate of return, stock and bond valuation, portfolio risks, the Capital Asset Pricing Model (CAPM), efficient markets, capital structure, leverage, financial performance measurement, and basic option pricing and the BlackScholes model.
ACSI 5330  Actuarial Mathematics I
3credit hours
Prerequisites: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. First of a twosemester sequence. Topics include survival distributions and life tables, life insurance, life annuities, and net premiums.
ACSI 5340  Actuarial Mathematics II
3credit hours
Prerequisite: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. Concepts and models for long term actuarial mathematics. Topics chosen from net premium reserves, multiple life functions, multiple decrement models, valuation theory and pension plans, and insurance models (including expenses and nonforfeiture benefits and dividends).
ACSI 5530  Rate Making and Loss Reserving
3credit hours
Prerequisite: ACSI 4200 or consent of the instructor. Introduces the daily work as a P&C actuary in rate making and loss reserving, summarizing loss run data, compiling of loss triangles, computing loss development factors, incurred method, paid method, case method, BornhuetterFerguson method, trend losses, rate making on losses and exposure, IBNR reserving, make loss payments plan, reporting and communication of analysis results.
ACSI 5630  Mathematics of Risk Management
3credit hours
Prerequisite: ACSI/MATH 4200/ACSI 5200/MATH 5200. Topics chosen from mathematical modeling of volatility; pricing of bonds and stocks; duration and complexity; asset/liability management; forward contract, future contract, options; spreads, collars and other hedging strategies; option pricing models, BlackScholes formula, Greeks, Delta hedge, DeltaGamma hedge; hedge portfolio and hedge ratio.
ACSI 5640  Mathematics of Options, Futures, and Other Derivatives
3credit hours
Prerequisites: ACSI/MATH 4630/ACSI 5630/5630 and 4200/ACSI 5200/MATH 5200. Topics chosen from lognormal model; BlackScholes equation; volatility; risk neutral pricing; simulation; interest rate models; pricing of bonds, option on bonds, interest rate caps, and other interest rate derivatives.
ACSI 6010  Introduction to Loss Models
3credit hours
Prerequisite: STAT 5190 or consent of instructor. Topics include statistical distributions for modeling insurance claims frequency and severity, aggregate claim distributions, effect of coverage modifications and inflations, and risk measures.
ACSI 6110  Predictive Analysis
3credit hours
Prerequisite: ACSI 5140 or consent of instructor. Topics include generalized linear models, logistic regression, discriminant analysis, support vector machines, ridge regression, lasso, sparse modeling, variable selection, model selection, and other selected topics from computational statistics, machine learning, and data mining.
ACSI 6600  Problems in Actuarial Science
1 to 6credit hours
Prerequisites: Mathematical maturity, preparation in actuarial science (normally nine semester hours of graduate study in actuarial science), and consent of instructor. Students wishing to enroll must select a topic in actuarial science prior to the semester in which ACSI 6600 is taken. Topics include, but are not limited to, applications of principles of actuarial mathematics to group and health insurance, retirement benefits, quantitative risk management, rate making, statistical methods in actuarial data analysis, interest rate models and their applications. Students must submit a written report. Course may be taken up to two times provided that the projects are completely different. Credits may total 112 hours.Credit will be based on the difficulty and complexity of the project as determined by the instructor. Pass/Fail grading.
MATH 6200  Analysis II
3credit hours
Prerequisite: MATH 6190 or equivalent. A continuation of MATH 6190. Lebesgue measure, Lebesgue integral, functions of bounded variation.
MATH 6300  Optimization
3credit hours
Prerequisite: MATH 5320 or consent of instructor. Constrained and unconstrained optimization problems, including the generalized least squares problem and Eigenvalue problems. Methods include orthogonalization, conjugate gradient, and quasiNewton algorithms.
MATH 6603  Problems in MathematicsMathematics of Finance
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
MATH 6604  Problems in MathematicsMathematics of Life Contingencies
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
STAT 5190  Mathematical Statistics II
3credit hours
Prerequisite: STAT 3150 or equivalent. Theory of statistical inference. Topics include sampling distributions, decision theory, estimation, test of hypothesis, regression analysis, analysis of variance, and selected applications.
STAT 5200  Statistical Methods for Forecasting
3credit hours
Prerequisite: STAT 4190. Application of the regression model in forecasting regression and exponential smoothing methods to forecast nonseasonal timeseries, seasonal series and globally constant seasonal models, stochastic time series models; and forecast evaluation. (Offers preparation to actuarial science students for the Society of Actuaries Exam #120 and Exam Part 3A administered by the Casualty Actuarial Society.)
STAT 5320  Probability and Stochastic Processes
3credit hours
Prerequisite: Two semesters of calculus and STAT 3150 (or MATH 2050) or consent of instructor. Theoretical basis for stochastic processes and use as models of realworld phenomena. Topics include Markov chains, Poisson processes, and Brownian motion and stationary processes. Applications include Gambler's Ruin, birth and death models, hitting times, stock option pricing, and the BlackScholes model.
STAT 5360  Regression Analysis
3credit hours
Prerequisites: MATH 2050 and STAT 3150 or equivalent. Theory and application of regression models. Approaches to model building and data analysis treated. Computation and interpretation of results facilitated through use of statistical software packages.
STAT 5700  Analysis of LargeScale Data Sets
3credit hours
The analysis and applications of largescale data sets. Scalable machine learning and data mining applications in a practical clinical environment. Statistical software used in the application of these techniques.
STAT 6160  Advanced Mathematical Statistics I
3credit hours
Prerequisite: Two semesters of calculus or permission of instructor. Introduction to theoretical probability used in statistics with an emphasis on the mathematical theory. A rigorous treatment of random variables, their probability distributions, and mathematical exceptions in a univariate and multivariate setting. Includes conditional probabilities, stochastic independence, sampling theory, and limit laws.
STAT 6180  Advanced Mathematical Statistics II
3credit hours
Prerequisite: STAT 6160 or permission of instructor. Theory of estimation and hypothesis tests. Topics include minimum variance unbiased estimation, methods of estimation, most powerful tests, likelihood ratio tests, decision theory, and sequential test procedures.
STAT 7400  Computational Statistics
3credit hours
Prerequisites: COMS 6100 and MATH 2530 or equivalent. Statistical visualization and other computationally intensive methods. The role of computation as a fundamental tool of discovery in data analysis, statistical inference, and development of statistical theory and methods. Monte Carlo studies in statistics, computational inference, tools for identification of structure in data, numerical methods in statistics, estimation of functions (orthogonal polynomials, splines, etc.), statistical models, graphical methods, data fitting and data mining, and machine learning techniques.
Internship Option (36 hours)
Required Core Courses (9 hours)
At least 6 credit hours from the following:
MATH 6120  Advanced Linear Algebra
3credit hours
Prerequisite: MATH 2010. Continuation of linear algebra topics in MATH 2010 including advanced topics in inner product spaces and structure of linear operators.
MATH 6170  Sets and Logic
3credit hours
Includes topics in three categories: 1) Propositions, predicates, quantifiers, truth tables, tautologies, and methods of mathematical proof including mathematical induction. 2) Sets, relations, functions, graphs, cardinality, and the Axiom of Choice. 3) Applications of these foundations to selected results in algebra and analysis as time permits. It is recommended that this course be taken early in the graduate program.
MATH 6190  Analysis I
3credit hours
Prerequisite: MATH 4250 or equivalent. Rigorous treatment of limits, continuity, differentiation, and integration; infinite series; introduction to metric spaces.
At most 3 credit hours from the following:
ACSI 6110  Predictive Analysis
3credit hours
Prerequisite: ACSI 5140 or consent of instructor. Topics include generalized linear models, logistic regression, discriminant analysis, support vector machines, ridge regression, lasso, sparse modeling, variable selection, model selection, and other selected topics from computational statistics, machine learning, and data mining.
STAT 6605  Problems in StatisticsSAS Programming
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
STAT 7400  Computational Statistics
3credit hours
Prerequisites: COMS 6100 and MATH 2530 or equivalent. Statistical visualization and other computationally intensive methods. The role of computation as a fundamental tool of discovery in data analysis, statistical inference, and development of statistical theory and methods. Monte Carlo studies in statistics, computational inference, tools for identification of structure in data, numerical methods in statistics, estimation of functions (orthogonal polynomials, splines, etc.), statistical models, graphical methods, data fitting and data mining, and machine learning techniques.
Required Concentration Courses (9 hours)
ACSI 6020  Construction and Evaluation of Actuarial Models
3credit hours
Prerequisite: ACSI 6010 or permission of instructor. Topics include construction of empirical models, construction and selection of parametric models, construction of models in presence of truncation and censoring, interpolation and smoothing, credibility theory, and simulation.
ACSI 6030  Actuarial Models for Life Contingencies
3credit hours
Prerequisites: STAT 3150 and ACSI 4230 or MATH 6604 or permission of instructor. Topics include survival distributions, life tables, life insurance, life annuities, and pensions, premiums and reserves, multiple lives, multiple decrements, models including expenses.
ACSI 6040  Actuarial Models for Financial Economics
3credit hours
Prerequisite: ACSI 4200/ACSI 5200 or MATH 6603 or permission of instructor. Topics include applications of stochastic processes to actuarial models, Poisson process, Markov process, interest rate models, arbitrage free models, valuation of derivative securities, financial risk management.
Internship (3 hours)
ACSI 6910  Internship in Actuarial Science
3credit hours
Prerequisites: Major in actuarial science; approval of program director; a plan of activities with the associated firm prior to registration. Practical experience in a specific area of actuarial industry for 250 hours. Pass/Fail.
For internship credits to be awarded, the location must be approved by the faculty advisor and the internship work must be related to actuarial science. Students must keep a portfolio during the internship and do a presentation upon completion of the internship.
Elective Concentration Courses (15 hours)
15 credit hours approved by advisor. Courses should be chosen from the following:
ACSI 5140  Mathematical Foundations of Actuarial Science
3credit hours
Prerequisite: STAT 3150 or consent of instructor. Integrates probability and risk management topics into fundamental tools for assessing risk in an actuarial environment. Probability topics include random variables, distributions, conditional probability, independence, and central limit theorems. Risk topics include frequency and severity. Insurance concepts such as retention, deductible, coinsurance, and risk premiums.
ACSI 5200  Introduction to Mathematics of Investment
3credit hours
(Same as MATH 5200.) Prerequisite: MATH 1920 or consent of instructor. Models and methods to analyze investments in bonds, treasury bills, stocks, and other derivatives. Topics include obtaining the price of bonds, stocks, and options; sensitivity analysis; investment performance assessment; portfolio analysis; capital asset pricing model; and mathematical modeling of investor preference and attitude toward risk.
ACSI 5220  Mathematics of Corporate Finance
3credit hours
Prerequisites: ACSI/MATH 4200/ACSI 5200/MATH 5200 and ECON 2410, 2420, or consent of instructor. Mathematics of capital budgeting and evaluation models in corporate finance. Topics include net present values, internal rate of return, profitability index; evaluation of projects, corporations, and stocks; capital asset pricing model; cost of capital; quantification of risk and uncertainty; capital budgeting; capital structure; income statement and financial planning.
ACSI 5230  Mathematics of Compound Interest
3credit hours
Prerequisites: ECON 2410, ECON 2420, ACSI/MATH 4200/ACSI 5200/MATH 5200, or consent of instructor. Topics include measurement of interest (including accumulating and present value factors), annuities certain, yield rates, amortization schedules, sinking funds, and bonds and related securities.
ACSI 5240  Mathematics of Interest Theory, Economics, and Finance
3credit hours
Prerequisites: ACSI 4230/ACSI 5230 or consent of instructor. Applies calculus and theory of interest tools to intermediate topics in microeconomics and macroeconomics and topics in finance. Topics include pricing activities, the simplified Keynesian model, interest and discount rates, valuation of payment streams, yield rates, amortization, cash flows and internal rate of return, stock and bond valuation, portfolio risks, the Capital Asset Pricing Model (CAPM), efficient markets, capital structure, leverage, financial performance measurement, and basic option pricing and the BlackScholes model.
ACSI 5330  Actuarial Mathematics I
3credit hours
Prerequisites: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. First of a twosemester sequence. Topics include survival distributions and life tables, life insurance, life annuities, and net premiums.
ACSI 5340  Actuarial Mathematics II
3credit hours
Prerequisite: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. Concepts and models for long term actuarial mathematics. Topics chosen from net premium reserves, multiple life functions, multiple decrement models, valuation theory and pension plans, and insurance models (including expenses and nonforfeiture benefits and dividends).
ACSI 5530  Rate Making and Loss Reserving
3credit hours
Prerequisite: ACSI 4200 or consent of the instructor. Introduces the daily work as a P&C actuary in rate making and loss reserving, summarizing loss run data, compiling of loss triangles, computing loss development factors, incurred method, paid method, case method, BornhuetterFerguson method, trend losses, rate making on losses and exposure, IBNR reserving, make loss payments plan, reporting and communication of analysis results.
ACSI 5630  Mathematics of Risk Management
3credit hours
Prerequisite: ACSI/MATH 4200/ACSI 5200/MATH 5200. Topics chosen from mathematical modeling of volatility; pricing of bonds and stocks; duration and complexity; asset/liability management; forward contract, future contract, options; spreads, collars and other hedging strategies; option pricing models, BlackScholes formula, Greeks, Delta hedge, DeltaGamma hedge; hedge portfolio and hedge ratio.
ACSI 5640  Mathematics of Options, Futures, and Other Derivatives
3credit hours
Prerequisites: ACSI/MATH 4630/ACSI 5630/5630 and 4200/ACSI 5200/MATH 5200. Topics chosen from lognormal model; BlackScholes equation; volatility; risk neutral pricing; simulation; interest rate models; pricing of bonds, option on bonds, interest rate caps, and other interest rate derivatives.
ACSI 6010  Introduction to Loss Models
3credit hours
Prerequisite: STAT 5190 or consent of instructor. Topics include statistical distributions for modeling insurance claims frequency and severity, aggregate claim distributions, effect of coverage modifications and inflations, and risk measures.
ACSI 6110  Predictive Analysis
3credit hours
Prerequisite: ACSI 5140 or consent of instructor. Topics include generalized linear models, logistic regression, discriminant analysis, support vector machines, ridge regression, lasso, sparse modeling, variable selection, model selection, and other selected topics from computational statistics, machine learning, and data mining.
ACSI 6600  Problems in Actuarial Science
1 to 6credit hours
Prerequisites: Mathematical maturity, preparation in actuarial science (normally nine semester hours of graduate study in actuarial science), and consent of instructor. Students wishing to enroll must select a topic in actuarial science prior to the semester in which ACSI 6600 is taken. Topics include, but are not limited to, applications of principles of actuarial mathematics to group and health insurance, retirement benefits, quantitative risk management, rate making, statistical methods in actuarial data analysis, interest rate models and their applications. Students must submit a written report. Course may be taken up to two times provided that the projects are completely different. Credits may total 112 hours.Credit will be based on the difficulty and complexity of the project as determined by the instructor. Pass/Fail grading.
MATH 6120  Advanced Linear Algebra
3credit hours
Prerequisite: MATH 2010. Continuation of linear algebra topics in MATH 2010 including advanced topics in inner product spaces and structure of linear operators.
MATH 6170  Sets and Logic
3credit hours
Includes topics in three categories: 1) Propositions, predicates, quantifiers, truth tables, tautologies, and methods of mathematical proof including mathematical induction. 2) Sets, relations, functions, graphs, cardinality, and the Axiom of Choice. 3) Applications of these foundations to selected results in algebra and analysis as time permits. It is recommended that this course be taken early in the graduate program.
MATH 6190  Analysis I
3credit hours
Prerequisite: MATH 4250 or equivalent. Rigorous treatment of limits, continuity, differentiation, and integration; infinite series; introduction to metric spaces.
MATH 6200  Analysis II
3credit hours
Prerequisite: MATH 6190 or equivalent. A continuation of MATH 6190. Lebesgue measure, Lebesgue integral, functions of bounded variation.
MATH 6300  Optimization
3credit hours
Prerequisite: MATH 5320 or consent of instructor. Constrained and unconstrained optimization problems, including the generalized least squares problem and Eigenvalue problems. Methods include orthogonalization, conjugate gradient, and quasiNewton algorithms.
MATH 6603  Problems in MathematicsMathematics of Finance
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
MATH 6604  Problems in MathematicsMathematics of Life Contingencies
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
STAT 7400  Computational Statistics
3credit hours
Prerequisites: COMS 6100 and MATH 2530 or equivalent. Statistical visualization and other computationally intensive methods. The role of computation as a fundamental tool of discovery in data analysis, statistical inference, and development of statistical theory and methods. Monte Carlo studies in statistics, computational inference, tools for identification of structure in data, numerical methods in statistics, estimation of functions (orthogonal polynomials, splines, etc.), statistical models, graphical methods, data fitting and data mining, and machine learning techniques.
STAT 5190  Mathematical Statistics II
3credit hours
Prerequisite: STAT 3150 or equivalent. Theory of statistical inference. Topics include sampling distributions, decision theory, estimation, test of hypothesis, regression analysis, analysis of variance, and selected applications.
STAT 5200  Statistical Methods for Forecasting
3credit hours
Prerequisite: STAT 4190. Application of the regression model in forecasting regression and exponential smoothing methods to forecast nonseasonal timeseries, seasonal series and globally constant seasonal models, stochastic time series models; and forecast evaluation. (Offers preparation to actuarial science students for the Society of Actuaries Exam #120 and Exam Part 3A administered by the Casualty Actuarial Society.)
STAT 5320  Probability and Stochastic Processes
3credit hours
Prerequisite: Two semesters of calculus and STAT 3150 (or MATH 2050) or consent of instructor. Theoretical basis for stochastic processes and use as models of realworld phenomena. Topics include Markov chains, Poisson processes, and Brownian motion and stationary processes. Applications include Gambler's Ruin, birth and death models, hitting times, stock option pricing, and the BlackScholes model.
STAT 5360  Regression Analysis
3credit hours
Prerequisites: MATH 2050 and STAT 3150 or equivalent. Theory and application of regression models. Approaches to model building and data analysis treated. Computation and interpretation of results facilitated through use of statistical software packages.
STAT 5370  Nonparametric Statistics
3credit hours
Prerequisite: STAT 3150 or equivalent. Statistical tests that require no assertions about parameters or about the form of the population from which the samples are drawn. A wide range of practical problems.
STAT 6160  Advanced Mathematical Statistics I
3credit hours
Prerequisite: Two semesters of calculus or permission of instructor. Introduction to theoretical probability used in statistics with an emphasis on the mathematical theory. A rigorous treatment of random variables, their probability distributions, and mathematical exceptions in a univariate and multivariate setting. Includes conditional probabilities, stochastic independence, sampling theory, and limit laws.
STAT 6180  Advanced Mathematical Statistics II
3credit hours
Prerequisite: STAT 6160 or permission of instructor. Theory of estimation and hypothesis tests. Topics include minimum variance unbiased estimation, methods of estimation, most powerful tests, likelihood ratio tests, decision theory, and sequential test procedures.
Thesis Option (3642 hours)
Required Core Courses (9 hours)
At least 6 credit hours from the following:
MATH 6120  Advanced Linear Algebra
3credit hours
Prerequisite: MATH 2010. Continuation of linear algebra topics in MATH 2010 including advanced topics in inner product spaces and structure of linear operators.
MATH 6170  Sets and Logic
3credit hours
Includes topics in three categories: 1) Propositions, predicates, quantifiers, truth tables, tautologies, and methods of mathematical proof including mathematical induction. 2) Sets, relations, functions, graphs, cardinality, and the Axiom of Choice. 3) Applications of these foundations to selected results in algebra and analysis as time permits. It is recommended that this course be taken early in the graduate program.
MATH 6190  Analysis I
3credit hours
Prerequisite: MATH 4250 or equivalent. Rigorous treatment of limits, continuity, differentiation, and integration; infinite series; introduction to metric spaces.
At most 3 hours from the following:
ACSI 6110  Predictive Analysis
3credit hours
Prerequisite: ACSI 5140 or consent of instructor. Topics include generalized linear models, logistic regression, discriminant analysis, support vector machines, ridge regression, lasso, sparse modeling, variable selection, model selection, and other selected topics from computational statistics, machine learning, and data mining.
STAT 6605  Problems in StatisticsSAS Programming
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
STAT 7400  Computational Statistics
3credit hours
Prerequisites: COMS 6100 and MATH 2530 or equivalent. Statistical visualization and other computationally intensive methods. The role of computation as a fundamental tool of discovery in data analysis, statistical inference, and development of statistical theory and methods. Monte Carlo studies in statistics, computational inference, tools for identification of structure in data, numerical methods in statistics, estimation of functions (orthogonal polynomials, splines, etc.), statistical models, graphical methods, data fitting and data mining, and machine learning techniques.
Required Concentration Courses (9 hours)
ACSI 6020  Construction and Evaluation of Actuarial Models
3credit hours
Prerequisite: ACSI 6010 or permission of instructor. Topics include construction of empirical models, construction and selection of parametric models, construction of models in presence of truncation and censoring, interpolation and smoothing, credibility theory, and simulation.
ACSI 6030  Actuarial Models for Life Contingencies
3credit hours
Prerequisites: STAT 3150 and ACSI 4230 or MATH 6604 or permission of instructor. Topics include survival distributions, life tables, life insurance, life annuities, and pensions, premiums and reserves, multiple lives, multiple decrements, models including expenses.
ACSI 6040  Actuarial Models for Financial Economics
3credit hours
Prerequisite: ACSI 4200/ACSI 5200 or MATH 6603 or permission of instructor. Topics include applications of stochastic processes to actuarial models, Poisson process, Markov process, interest rate models, arbitrage free models, valuation of derivative securities, financial risk management.
Thesis (39 hours)
MATH 6640  Thesis Research
1 to 6 credit hours
(3 credit hours required)(3 credit hours required)
dotslash:(3 credit hours required)
title:(3 credit hours required)
(3 credit hours required)
MATH 6640  Thesis Research
1 to 6credit hours
Selection of a research problem, review of pertinent literature, collection and analysis of data, and composition of thesis. Once enrolled, student should register for at least one credit hour of master's research each semester until completion. S/U grading.
Elective Concentration Courses (15 hours)
15 credit hours approved by advisor. Courses should be chosen from the following:
ACSI 5140  Mathematical Foundations of Actuarial Science
3credit hours
Prerequisite: STAT 3150 or consent of instructor. Integrates probability and risk management topics into fundamental tools for assessing risk in an actuarial environment. Probability topics include random variables, distributions, conditional probability, independence, and central limit theorems. Risk topics include frequency and severity. Insurance concepts such as retention, deductible, coinsurance, and risk premiums.
ACSI 5200  Introduction to Mathematics of Investment
3credit hours
(Same as MATH 5200.) Prerequisite: MATH 1920 or consent of instructor. Models and methods to analyze investments in bonds, treasury bills, stocks, and other derivatives. Topics include obtaining the price of bonds, stocks, and options; sensitivity analysis; investment performance assessment; portfolio analysis; capital asset pricing model; and mathematical modeling of investor preference and attitude toward risk.
ACSI 5220  Mathematics of Corporate Finance
3credit hours
Prerequisites: ACSI/MATH 4200/ACSI 5200/MATH 5200 and ECON 2410, 2420, or consent of instructor. Mathematics of capital budgeting and evaluation models in corporate finance. Topics include net present values, internal rate of return, profitability index; evaluation of projects, corporations, and stocks; capital asset pricing model; cost of capital; quantification of risk and uncertainty; capital budgeting; capital structure; income statement and financial planning.
ACSI 5230  Mathematics of Compound Interest
3credit hours
Prerequisites: ECON 2410, ECON 2420, ACSI/MATH 4200/ACSI 5200/MATH 5200, or consent of instructor. Topics include measurement of interest (including accumulating and present value factors), annuities certain, yield rates, amortization schedules, sinking funds, and bonds and related securities.
ACSI 5240  Mathematics of Interest Theory, Economics, and Finance
3credit hours
Prerequisites: ACSI 4230/ACSI 5230 or consent of instructor. Applies calculus and theory of interest tools to intermediate topics in microeconomics and macroeconomics and topics in finance. Topics include pricing activities, the simplified Keynesian model, interest and discount rates, valuation of payment streams, yield rates, amortization, cash flows and internal rate of return, stock and bond valuation, portfolio risks, the Capital Asset Pricing Model (CAPM), efficient markets, capital structure, leverage, financial performance measurement, and basic option pricing and the BlackScholes model.
ACSI 5330  Actuarial Mathematics I
3credit hours
Prerequisites: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. First of a twosemester sequence. Topics include survival distributions and life tables, life insurance, life annuities, and net premiums.
ACSI 5340  Actuarial Mathematics II
3credit hours
Prerequisite: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. Concepts and models for long term actuarial mathematics. Topics chosen from net premium reserves, multiple life functions, multiple decrement models, valuation theory and pension plans, and insurance models (including expenses and nonforfeiture benefits and dividends).
ACSI 5530  Rate Making and Loss Reserving
3credit hours
Prerequisite: ACSI 4200 or consent of the instructor. Introduces the daily work as a P&C actuary in rate making and loss reserving, summarizing loss run data, compiling of loss triangles, computing loss development factors, incurred method, paid method, case method, BornhuetterFerguson method, trend losses, rate making on losses and exposure, IBNR reserving, make loss payments plan, reporting and communication of analysis results.
ACSI 5630  Mathematics of Risk Management
3credit hours
Prerequisite: ACSI/MATH 4200/ACSI 5200/MATH 5200. Topics chosen from mathematical modeling of volatility; pricing of bonds and stocks; duration and complexity; asset/liability management; forward contract, future contract, options; spreads, collars and other hedging strategies; option pricing models, BlackScholes formula, Greeks, Delta hedge, DeltaGamma hedge; hedge portfolio and hedge ratio.
ACSI 5640  Mathematics of Options, Futures, and Other Derivatives
3credit hours
Prerequisites: ACSI/MATH 4630/ACSI 5630/5630 and 4200/ACSI 5200/MATH 5200. Topics chosen from lognormal model; BlackScholes equation; volatility; risk neutral pricing; simulation; interest rate models; pricing of bonds, option on bonds, interest rate caps, and other interest rate derivatives.
ACSI 6010  Introduction to Loss Models
3credit hours
Prerequisite: STAT 5190 or consent of instructor. Topics include statistical distributions for modeling insurance claims frequency and severity, aggregate claim distributions, effect of coverage modifications and inflations, and risk measures.
ACSI 6110  Predictive Analysis
3credit hours
Prerequisite: ACSI 5140 or consent of instructor. Topics include generalized linear models, logistic regression, discriminant analysis, support vector machines, ridge regression, lasso, sparse modeling, variable selection, model selection, and other selected topics from computational statistics, machine learning, and data mining.
ACSI 6600  Problems in Actuarial Science
1 to 6credit hours
Prerequisites: Mathematical maturity, preparation in actuarial science (normally nine semester hours of graduate study in actuarial science), and consent of instructor. Students wishing to enroll must select a topic in actuarial science prior to the semester in which ACSI 6600 is taken. Topics include, but are not limited to, applications of principles of actuarial mathematics to group and health insurance, retirement benefits, quantitative risk management, rate making, statistical methods in actuarial data analysis, interest rate models and their applications. Students must submit a written report. Course may be taken up to two times provided that the projects are completely different. Credits may total 112 hours.Credit will be based on the difficulty and complexity of the project as determined by the instructor. Pass/Fail grading.
MATH 6120  Advanced Linear Algebra
3credit hours
Prerequisite: MATH 2010. Continuation of linear algebra topics in MATH 2010 including advanced topics in inner product spaces and structure of linear operators.
MATH 6170  Sets and Logic
3credit hours
Includes topics in three categories: 1) Propositions, predicates, quantifiers, truth tables, tautologies, and methods of mathematical proof including mathematical induction. 2) Sets, relations, functions, graphs, cardinality, and the Axiom of Choice. 3) Applications of these foundations to selected results in algebra and analysis as time permits. It is recommended that this course be taken early in the graduate program.
MATH 6190  Analysis I
3credit hours
Prerequisite: MATH 4250 or equivalent. Rigorous treatment of limits, continuity, differentiation, and integration; infinite series; introduction to metric spaces.
MATH 6200  Analysis II
3credit hours
Prerequisite: MATH 6190 or equivalent. A continuation of MATH 6190. Lebesgue measure, Lebesgue integral, functions of bounded variation.
MATH 6300  Optimization
3credit hours
Prerequisite: MATH 5320 or consent of instructor. Constrained and unconstrained optimization problems, including the generalized least squares problem and Eigenvalue problems. Methods include orthogonalization, conjugate gradient, and quasiNewton algorithms.
MATH 6603  Problems in MathematicsMathematics of Finance
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
MATH 6604  Problems in MathematicsMathematics of Life Contingencies
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
STAT 5190  Mathematical Statistics II
3credit hours
Prerequisite: STAT 3150 or equivalent. Theory of statistical inference. Topics include sampling distributions, decision theory, estimation, test of hypothesis, regression analysis, analysis of variance, and selected applications.
STAT 5200  Statistical Methods for Forecasting
3credit hours
Prerequisite: STAT 4190. Application of the regression model in forecasting regression and exponential smoothing methods to forecast nonseasonal timeseries, seasonal series and globally constant seasonal models, stochastic time series models; and forecast evaluation. (Offers preparation to actuarial science students for the Society of Actuaries Exam #120 and Exam Part 3A administered by the Casualty Actuarial Society.)
STAT 5320  Probability and Stochastic Processes
3credit hours
Prerequisite: Two semesters of calculus and STAT 3150 (or MATH 2050) or consent of instructor. Theoretical basis for stochastic processes and use as models of realworld phenomena. Topics include Markov chains, Poisson processes, and Brownian motion and stationary processes. Applications include Gambler's Ruin, birth and death models, hitting times, stock option pricing, and the BlackScholes model.
STAT 5360  Regression Analysis
3credit hours
Prerequisites: MATH 2050 and STAT 3150 or equivalent. Theory and application of regression models. Approaches to model building and data analysis treated. Computation and interpretation of results facilitated through use of statistical software packages.
STAT 5700  Analysis of LargeScale Data Sets
3credit hours
The analysis and applications of largescale data sets. Scalable machine learning and data mining applications in a practical clinical environment. Statistical software used in the application of these techniques.
STAT 6160  Advanced Mathematical Statistics I
3credit hours
Prerequisite: Two semesters of calculus or permission of instructor. Introduction to theoretical probability used in statistics with an emphasis on the mathematical theory. A rigorous treatment of random variables, their probability distributions, and mathematical exceptions in a univariate and multivariate setting. Includes conditional probabilities, stochastic independence, sampling theory, and limit laws.
STAT 6180  Advanced Mathematical Statistics II
3credit hours
Prerequisite: STAT 6160 or permission of instructor. Theory of estimation and hypothesis tests. Topics include minimum variance unbiased estimation, methods of estimation, most powerful tests, likelihood ratio tests, decision theory, and sequential test procedures.
STAT 7400  Computational Statistics
3credit hours
Prerequisites: COMS 6100 and MATH 2530 or equivalent. Statistical visualization and other computationally intensive methods. The role of computation as a fundamental tool of discovery in data analysis, statistical inference, and development of statistical theory and methods. Monte Carlo studies in statistics, computational inference, tools for identification of structure in data, numerical methods in statistics, estimation of functions (orthogonal polynomials, splines, etc.), statistical models, graphical methods, data fitting and data mining, and machine learning techniques.
Mathematics, Mathematics Education, M.S.
Mathematics, Mathematics Education, M.S.
James Hart, Program Director
(615) 8982402
James.Hart@mtsu.edu
The Mathematics Education concentration is for students who desire to increase their mathematical knowledge as applied to the teaching profession at the secondary and early tertiary levels.
Please see undergraduate catalog for information regarding undergraduate programs.
Admission Requirements
Admission normally requires completion of the GRE or MAT with acceptable scores. Successful applicants typically have combined GRE scores of 291 or above or MAT scores of 402 or greater.
Applicant must
 have earned a bachelor's degree from an accredited university or college;
 have an acceptable grade point average for all college work taken;
 have completed 21 semester hours of collegelevel mathematics (including calculus), with at least 9 hours of mathematics beyond calculus.
Application Procedures
All application materials are to be submitted to the College of Graduate Studies.
Master of Science in Mathematics applicants must
 submit application with the appropriate fee (online at www.mtsu.edu/graduate/apply.php). Once this initial application has been accepted, the applicant will receive directions on how to enter the graduate portal to be able to submit other materials.
 submit official scores on the GRE or MAT;
 submit official transcripts of all previous college work;
 have two recommendation forms submitted, one by a reference who has served as applicant's instructor in an institution of higher education and the second by a reference who has interacted professionally with applicant. Students interested in teaching or obtaining a graduate teaching assistantship should submit one reference which speaks to their potential to teach. NOTE: Letters of recommendation are not required.
 describe professional goals in 500 words or less and how this program would help to meet those goals.
Degree Requirements
The Master of Science in Mathematics with a concentration in Mathematics Education includes thesis and nonthesis options. Students electing the nonthesis option must successfully complete a written comprehensive examination, which may be taken no more than twice. Students electing the thesis option must enroll in at least 3 hours of Thesis Research (MATH 6640) and publish a thesis with the graduate school. The nonthesis option requires completion of 36 credit hours. The thesis option requires completion of 3642 credit hours. In addition, at most thirty percent of the total credit hours in the program may be at the 5000level, and no more than two special problems courses can apply toward the degree.
Curriculum: Mathematics, Mathematics Education
The following illustrates the minimum coursework requirements. In addition, a maximum of 9 hours of thesis research may be required to fulfill degree requirements.
Nonthesis Option (36 hours)
Core Courses (9 hours)
MATH 6120  Advanced Linear Algebra
3credit hours
Prerequisite: MATH 2010. Continuation of linear algebra topics in MATH 2010 including advanced topics in inner product spaces and structure of linear operators.
MATH 6170  Sets and Logic
3credit hours
Includes topics in three categories: 1) Propositions, predicates, quantifiers, truth tables, tautologies, and methods of mathematical proof including mathematical induction. 2) Sets, relations, functions, graphs, cardinality, and the Axiom of Choice. 3) Applications of these foundations to selected results in algebra and analysis as time permits. It is recommended that this course be taken early in the graduate program.
MATH 6190  Analysis I
3credit hours
Prerequisite: MATH 4250 or equivalent. Rigorous treatment of limits, continuity, differentiation, and integration; infinite series; introduction to metric spaces.
Concentration Courses (15 hours)
15 credit hours of approved courses in mathematical sciences from the following:
MATH 5530  Abstract Algebra II
3credit hours
Prerequisite: MATH 4510 or MATH 5510. Theory of rings, fields, integral domains, matrices, and vector spaces.
MATH 6320  Mathematical Problem Solving
3credit hours
Prerequisite: Permission of instructor. A basis for reflection on teaching and learning mathematics. Problemsolving strategies and heuristics. Focuses on all branches of mathematics, providing an opportunity to synthesize mathematical knowledge.
MATH 6330  Algebra from an Advanced Perspective
3credit hours
Prerequisite: Permission of instructor. Review and extension of algebraic skills and concepts as they relate to the teaching and learning of algebra. Focus on algebraic thinking and problem solving, algebraic systems, functions, graphing, and linear algebra.
MATH 6340  Geometry from an Advanced Perspective
3credit hours
Prerequisite: Permission of instructor. Investigations into the foundations of plane, solid, and coordinate geometry, motion geometry, similarities and congruencies, measurement and the application of geometry. Instruction will model the suggested pedagogy appropriate for school mathematics.
MATH 6350  Probability and Statistics from an Advanced Perspective
3credit hours
Prerequisite: Permission of instructor. Relation to school mathematics. Development of central tendency and variation, concepts of chance including sample space, randomness, conditional probability, and independence.
MATH 6900  Research in Mathematics Education
3credit hours
Prerequisite: Permission of instructor. Examines factors influencing research and critical analyses of selected research in mathematics education. Studies representing different methodologies critiqued.
Cognate (12 hours)
12 credit hours of approved courses from the following:
MATH 6360  Technology Tools for School Mathematics
3credit hours
Integrates technology into the teaching and learning process for teachers of middle and secondary school mathematics. Investigates a variety of mathematical subject matter appropriate for middle and secondary school students via technology. Lessons designed for use with a variety of technologies, including graphing calculators, dynamic geometry software, spreadsheets, authoring software, presentation software, and the World Wide Web. Highly individualized due to varying backgrounds and interests of students.
MATH 6380  Current Trends in Mathematics Education
3credit hours
Prerequisite: Permission of instructor. Innovative topics or critical issues related to the teaching and learning of mathematics. Includes history of mathematics education, pedagogical content knowledge, assessment and evaluation, and technologies.
FOED 6030  School and Community Relations
3credit hours
The reciprocal relationship of the two and the skills necessary for analyzing problems and utilizing data and technical skills in planning effective schoolcommunity relations programs.
FOED 6630  Educational Tests and Measurements
3credit hours
Basic concepts in educational measurement and evaluation; evaluation as a part of the teachinglearning process; utilization of evaluation for instructional improvement.
SPSE 6050  Instructional Leadership
3credit hours
Research on student learning, effective teaching, and effective schools. Attention given to processes for promoting school improvement.
SPSE 6430  Introduction to Curriculum Development
3credit hours
Opportunity to study, discuss, and evaluate modern practices and procedures in curriculum development and reorganization in schools and school systems.
 Additional graduatelevel courses in mathematics and statistics as approved by advisor
Comprehensive Examination
Candidates must successfully complete a written comprehensive examination, which may be taken no more than twice.
Thesis Option (3642 hours)
Core Courses (9 hours)
At least 6 credit hours from the following:
MATH 6120  Advanced Linear Algebra
3credit hours
Prerequisite: MATH 2010. Continuation of linear algebra topics in MATH 2010 including advanced topics in inner product spaces and structure of linear operators.
MATH 6170  Sets and Logic
3credit hours
Includes topics in three categories: 1) Propositions, predicates, quantifiers, truth tables, tautologies, and methods of mathematical proof including mathematical induction. 2) Sets, relations, functions, graphs, cardinality, and the Axiom of Choice. 3) Applications of these foundations to selected results in algebra and analysis as time permits. It is recommended that this course be taken early in the graduate program.
MATH 6190  Analysis I
3credit hours
Prerequisite: MATH 4250 or equivalent. Rigorous treatment of limits, continuity, differentiation, and integration; infinite series; introduction to metric spaces.
At most 3 credit hours from the following:
STAT 6020  Applied Statistical Methods
3credit hours
Prerequisites: MATH 1530, MATH 2050, or STAT 3150 or permission of instructor. Contemporary and medical research methodology for biostatistics. Descriptive and inferential statistics including parametric and nonparametric hypothesis testing methods, sample size, statistical significance and power, survival curve analysis, relative risk, odds ratios, chi square modeling, and analysis of variance. Data will be analyzed using statistical software.
STAT 6602  Problems in StatisticsRegression Analysis
3credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
STAT 6603  Problems in StatisticsNonparametric Statistics
3credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
STAT 6604  Problems in StatisticsExperimental Design
3credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
Concentration Courses (15 hours)
15 credit hours of approved courses in mathematical sciences from the following:
MATH 5530  Abstract Algebra II
3credit hours
Prerequisite: MATH 4510 or MATH 5510. Theory of rings, fields, integral domains, matrices, and vector spaces.
MATH 6320  Mathematical Problem Solving
3credit hours
Prerequisite: Permission of instructor. A basis for reflection on teaching and learning mathematics. Problemsolving strategies and heuristics. Focuses on all branches of mathematics, providing an opportunity to synthesize mathematical knowledge.
MATH 6330  Algebra from an Advanced Perspective
3credit hours
Prerequisite: Permission of instructor. Review and extension of algebraic skills and concepts as they relate to the teaching and learning of algebra. Focus on algebraic thinking and problem solving, algebraic systems, functions, graphing, and linear algebra.
MATH 6340  Geometry from an Advanced Perspective
3credit hours
Prerequisite: Permission of instructor. Investigations into the foundations of plane, solid, and coordinate geometry, motion geometry, similarities and congruencies, measurement and the application of geometry. Instruction will model the suggested pedagogy appropriate for school mathematics.
MATH 6350  Probability and Statistics from an Advanced Perspective
3credit hours
Prerequisite: Permission of instructor. Relation to school mathematics. Development of central tendency and variation, concepts of chance including sample space, randomness, conditional probability, and independence.
MATH 6900  Research in Mathematics Education
3credit hours
Prerequisite: Permission of instructor. Examines factors influencing research and critical analyses of selected research in mathematics education. Studies representing different methodologies critiqued.
Cognate (9 hours)
9 credit hours of approved courses from the following:
MATH 6360  Technology Tools for School Mathematics
3credit hours
Integrates technology into the teaching and learning process for teachers of middle and secondary school mathematics. Investigates a variety of mathematical subject matter appropriate for middle and secondary school students via technology. Lessons designed for use with a variety of technologies, including graphing calculators, dynamic geometry software, spreadsheets, authoring software, presentation software, and the World Wide Web. Highly individualized due to varying backgrounds and interests of students.
MATH 6380  Current Trends in Mathematics Education
3credit hours
Prerequisite: Permission of instructor. Innovative topics or critical issues related to the teaching and learning of mathematics. Includes history of mathematics education, pedagogical content knowledge, assessment and evaluation, and technologies.
FOED 6030  School and Community Relations
3credit hours
The reciprocal relationship of the two and the skills necessary for analyzing problems and utilizing data and technical skills in planning effective schoolcommunity relations programs.
FOED 6630  Educational Tests and Measurements
3credit hours
Basic concepts in educational measurement and evaluation; evaluation as a part of the teachinglearning process; utilization of evaluation for instructional improvement.
SPSE 6050  Instructional Leadership
3credit hours
Research on student learning, effective teaching, and effective schools. Attention given to processes for promoting school improvement.
SPSE 6430  Introduction to Curriculum Development
3credit hours
Opportunity to study, discuss, and evaluate modern practices and procedures in curriculum development and reorganization in schools and school systems.
Thesis (39 hours)
MATH 6640  Thesis Research
1 to 6 credit hours
(3 credit hours required)(3 credit hours required)
dotslash:(3 credit hours required)
title:(3 credit hours required)
(3 credit hours required)
MATH 6640  Thesis Research
1 to 6credit hours
Selection of a research problem, review of pertinent literature, collection and analysis of data, and composition of thesis. Once enrolled, student should register for at least one credit hour of master's research each semester until completion. S/U grading.
Mathematics, Pure and Applied Mathematics Concentration, M.S.
Mathematics, Pure and Applied Mathematics Concentration, M.S.
James Hart, Program Director
(615) 8982402
James.Hart@mtsu.edu
The Pure and Applied Mathematics Concentration provides students with a deep and comprehensive foundation in advanced mathematics at the Masters' level. Coursework is tailored to meet the individual needs of students and provides preparation for pursuing additional graduate study and/or pursuing employment in diverse quantitative fields.
Please see undergraduate catalog for information regarding undergraduate programs.
Admission Requirements
Admission normally requires completion of the GRE or MAT with acceptable scores. Successful applicants typically have combined GRE scores of 291 or above or MAT scores of 402 or greater.
Applicant must
 have earned a bachelor's degree from an accredited university or college;
 have an acceptable grade point average for all college work taken;
 have completed 21 semester hours of collegelevel mathematics (including calculus), with at least 9 hours of mathematics beyond calculus.
Application Procedures
All application materials are to be submitted to the College of Graduate Studies.
Applicant must
 submit application with the appropriate application fee (online at www.mtsu.edu/graduate/apply.php). Once this initial application has been accepted, the applicant will receive directions on how to enter the graduate portal to be able to submit other materials.
 submit official scores on the GRE or MAT;
 submit official transcripts of all previous college work.
 have two recommendation forms submitted, one by a reference who has served as applicant's instructor in an institution of higher education and the second by a reference who has interacted professionally with applicant. Students interested in teaching or obtaining a graduate teaching assistantship should submit one reference which speaks to their potential to teach. NOTE: Letters of recommendation are not required.
 describe professional goals in 500 words or less and how this program would help to meet those goals.
Degree Requirements
The Master of Science in Mathematics with a concentration in Pure and Applied Mathematics includes nonthesis and thesis options. Students electing the nonthesis option must successfully complete a written comprehensive examination, which may be taken no more than twice. Students electing the thesis option must enroll in at least 3 hours of Thesis Research (MATH 6640) and publish a thesis with the graduate school. The nonthesis option requires completion of 36 credit hours. The thesis option requires completion of 3642 credit hours. In addition, at most thirty percent of the total credit hours in the program may be at the 5000level, and no more than two special problems courses can apply toward the degree.
Curriculum: Mathematics, Pure and Applied Mathematics Concentration
The following illustrates the minimum coursework requirements. In addition, a maximum of 9 hours of thesis research may be required to fulfill degree requirements.
Nonthesis Option (36 hours)
Core Courses (9 hours)
MATH 6120  Advanced Linear Algebra
3credit hours
Prerequisite: MATH 2010. Continuation of linear algebra topics in MATH 2010 including advanced topics in inner product spaces and structure of linear operators.
MATH 6170  Sets and Logic
3credit hours
Includes topics in three categories: 1) Propositions, predicates, quantifiers, truth tables, tautologies, and methods of mathematical proof including mathematical induction. 2) Sets, relations, functions, graphs, cardinality, and the Axiom of Choice. 3) Applications of these foundations to selected results in algebra and analysis as time permits. It is recommended that this course be taken early in the graduate program.
MATH 6190  Analysis I
3credit hours
Prerequisite: MATH 4250 or equivalent. Rigorous treatment of limits, continuity, differentiation, and integration; infinite series; introduction to metric spaces.
Concentration Courses (18 hours)
18 credit hours from approved courses in mathematical sciences including at least one course from three of the following groups:
Actuarial and Financial Mathematics
ACSI 5200  Introduction to Mathematics of Investment
3credit hours
(Same as MATH 5200.) Prerequisite: MATH 1920 or consent of instructor. Models and methods to analyze investments in bonds, treasury bills, stocks, and other derivatives. Topics include obtaining the price of bonds, stocks, and options; sensitivity analysis; investment performance assessment; portfolio analysis; capital asset pricing model; and mathematical modeling of investor preference and attitude toward risk.
MATH 5200  Introduction to Mathematics of Investment
3credit hours
(Same as ACSI 5200.) Prerequisite: MATH 1920 or consent of instructor. Calculus and probability/statistics used to model and analyze investments in bonds, treasury bills, stocks, and other derivatives. Topics include obtaining the price of a bond as a function of interest rate, developing formulas for duration and convexity to study the sensitivity of price to interest rate, and mathematical modeling of investor preference and attitude toward risk.
ACSI 5330  Actuarial Mathematics I
3credit hours
Prerequisites: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. First of a twosemester sequence. Topics include survival distributions and life tables, life insurance, life annuities, and net premiums.
ACSI 5340  Actuarial Mathematics II
3credit hours
Prerequisite: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. Concepts and models for long term actuarial mathematics. Topics chosen from net premium reserves, multiple life functions, multiple decrement models, valuation theory and pension plans, and insurance models (including expenses and nonforfeiture benefits and dividends).
ACSI 5630  Mathematics of Risk Management
3credit hours
Prerequisite: ACSI/MATH 4200/ACSI 5200/MATH 5200. Topics chosen from mathematical modeling of volatility; pricing of bonds and stocks; duration and complexity; asset/liability management; forward contract, future contract, options; spreads, collars and other hedging strategies; option pricing models, BlackScholes formula, Greeks, Delta hedge, DeltaGamma hedge; hedge portfolio and hedge ratio.
ACSI 5640  Mathematics of Options, Futures, and Other Derivatives
3credit hours
Prerequisites: ACSI/MATH 4630/ACSI 5630/5630 and 4200/ACSI 5200/MATH 5200. Topics chosen from lognormal model; BlackScholes equation; volatility; risk neutral pricing; simulation; interest rate models; pricing of bonds, option on bonds, interest rate caps, and other interest rate derivatives.
ACSI 6010  Introduction to Loss Models
3credit hours
Prerequisite: STAT 5190 or consent of instructor. Topics include statistical distributions for modeling insurance claims frequency and severity, aggregate claim distributions, effect of coverage modifications and inflations, and risk measures.
MATH 6603  Problems in MathematicsMathematics of Finance
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
MATH 6604  Problems in MathematicsMathematics of Life Contingencies
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
Algebra/Number Theory
MATH 5420  Number Theory
3credit hours
Divisibility congruences, quadratic residues, Diophantine equations, quadratic forms, and continued fractions.
MATH 5530  Abstract Algebra II
3credit hours
Prerequisite: MATH 4510 or MATH 5510. Theory of rings, fields, integral domains, matrices, and vector spaces.
MATH 6140  Selected Topics of Modern Mathematics: Algebra
3credit hours
Prerequisite: MATH 5530 or consent of instructor. Extension of previous work in algebra with emphasis on topics not treated in other courses.
MATH 6510  Advanced Algebra
3credit hours
Prerequisite: MATH 5530. Polynomial rings, theory of fields, vector spaces and intermediate group theory necessary for Galois theory, and Galois theory.
Analysis
MATH 6141  Selected Topics of Modern Mathematics: Analysis
3credit hours
Prerequisite: MATH 6200 or consent of instructor. Extension of previous work in analysis with emphasis on topics not treated in other courses.
MATH 6200  Analysis II
3credit hours
Prerequisite: MATH 6190 or equivalent. A continuation of MATH 6190. Lebesgue measure, Lebesgue integral, functions of bounded variation.
MATH 6210  Complex Variables
3credit hours
Prerequisite: MATH 6190. Theory of functions of complex variables and their application in mathematics and physics.
MATH 6250  Real Analysis
3credit hours
Prerequisite: MATH 6200. A continuation of MATH 6200. Advanced topics in real analysis. Abstract measure and integration theory. Introduction to functional analysis.
Combinatorics/Graph Theory
MATH 5700  Combinatorics and Graph Theory
3credit hours
Prerequisite: MATH 2010 or 3080. Selected topics in combinatorics and graph theory emphasizing combinatorial problem solving and algorithmic proof.
MATH 6700  Advanced Combinatorics and Graph Theory
3credit hours
Prerequisite: MATH 4700/MATH 5700. Selected topics in combinatorics and graph theory extending topics studied in MATH 4700/MATH 5700.
Geometry/Topology
MATH 5270  Introduction to Topology
3credit hours
Prerequisites: MATH 3110 and a previous upperdivision course in which the student has been required to write proofs. Fundamental concepts of topology including continuity, compactness, connectedness, separation axioms, and metric spaces.
MATH 6142  Selected Topics in Modern Mathematics: Topology
3credit hours
Prerequisite: MATH 4270 or MATH 5270 or consent of instructor. Extension of previous work in topology with emphasis on topics not treated in other courses.
MATH 6400  Advanced Geometry
3credit hours
Prerequisite: MATH 3070 or consent of instructor. Detailed study of one or more of the various branches of geometry including nonEuclidean geometry, projective geometry, algebraic geometry, and differential geometry.
Industrial Mathematics
MATH 5310  Numerical Analysis I
3credit hours
Prerequisite: CSCI 3180 or equivalent. Application of computeroriented numerical algorithms to algebraic equations, differential and integral equations, and linear algebra. Rigorous mathematical treatment of error included.
MATH 5320  Numerical Analysis II
3credit hours
Prerequisite: CSCI 3180 or equivalent. Application of computeroriented numerical algorithms to algebraic equations, differential and integral equations, and linear algebra. Rigorous mathematical treatment of error included.
MATH 6260  Advanced Differential Equations I
3credit hours
Prerequisites: MATH 3120 and 4250. Qualitative and quantitative analysis of systems of differential equations. Gradient systems, SturmLiouville problems. Elementary techniques for boundary value problems of partial differential equations.
MATH 6270  Advanced Differential Equations II
3credit hours
Prerequisite: MATH 6260. Solution techniques for boundary value problems. Problems involve heat, wave, and potential equations. Topics include the method of characteristics, series solutions, integral transforms, and Green's functions.
MATH 6300  Optimization
3credit hours
Prerequisite: MATH 5320 or consent of instructor. Constrained and unconstrained optimization problems, including the generalized least squares problem and Eigenvalue problems. Methods include orthogonalization, conjugate gradient, and quasiNewton algorithms.
MATH 6310  Control Theory
3credit hours
Prerequisite: MATH 6260 or consent of instructor. Vector space applications to system analysis; observability, controllability, and stabilization of systems; feedback systems; Lyapunov methods; optimal control, and the calculus variations.
Statistics
STAT 5200  Statistical Methods for Forecasting
3credit hours
Prerequisite: STAT 4190. Application of the regression model in forecasting regression and exponential smoothing methods to forecast nonseasonal timeseries, seasonal series and globally constant seasonal models, stochastic time series models; and forecast evaluation. (Offers preparation to actuarial science students for the Society of Actuaries Exam #120 and Exam Part 3A administered by the Casualty Actuarial Society.)
STAT 5320  Probability and Stochastic Processes
3credit hours
Prerequisite: Two semesters of calculus and STAT 3150 (or MATH 2050) or consent of instructor. Theoretical basis for stochastic processes and use as models of realworld phenomena. Topics include Markov chains, Poisson processes, and Brownian motion and stationary processes. Applications include Gambler's Ruin, birth and death models, hitting times, stock option pricing, and the BlackScholes model.
STAT 5360  Regression Analysis
3credit hours
Prerequisites: MATH 2050 and STAT 3150 or equivalent. Theory and application of regression models. Approaches to model building and data analysis treated. Computation and interpretation of results facilitated through use of statistical software packages.
STAT 5370  Nonparametric Statistics
3credit hours
Prerequisite: STAT 3150 or equivalent. Statistical tests that require no assertions about parameters or about the form of the population from which the samples are drawn. A wide range of practical problems.
STAT 5380  Experimental Design
3credit hours
Prerequisite: STAT 3150 or equivalent. Topics include oneway analysis of variance, multiple comparison, multifactor analysis of variance, and various practical issues in experimental design. Computation and interpretation of results are facilitated through the use of statistical software packages.
STAT 6160  Advanced Mathematical Statistics I
3credit hours
Prerequisite: Two semesters of calculus or permission of instructor. Introduction to theoretical probability used in statistics with an emphasis on the mathematical theory. A rigorous treatment of random variables, their probability distributions, and mathematical exceptions in a univariate and multivariate setting. Includes conditional probabilities, stochastic independence, sampling theory, and limit laws.
STAT 6180  Advanced Mathematical Statistics II
3credit hours
Prerequisite: STAT 6160 or permission of instructor. Theory of estimation and hypothesis tests. Topics include minimum variance unbiased estimation, methods of estimation, most powerful tests, likelihood ratio tests, decision theory, and sequential test procedures.
STAT 6602  Problems in StatisticsRegression Analysis
3credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
STAT 6603  Problems in StatisticsNonparametric Statistics
3credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
STAT 6604  Problems in StatisticsExperimental Design
3credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
Cognate (9 hours)
 Nine additional graduatelevel hours in mathematics and statistics approved by advisor.
Comprehensive Examination
Candidates must successfully complete a written comprehensive examination which may be taken no more than twice.
Thesis Option (3642 hours)
Core Courses (9 hours)
MATH 6120  Advanced Linear Algebra
3credit hours
Prerequisite: MATH 2010. Continuation of linear algebra topics in MATH 2010 including advanced topics in inner product spaces and structure of linear operators.
MATH 6170  Sets and Logic
3credit hours
Includes topics in three categories: 1) Propositions, predicates, quantifiers, truth tables, tautologies, and methods of mathematical proof including mathematical induction. 2) Sets, relations, functions, graphs, cardinality, and the Axiom of Choice. 3) Applications of these foundations to selected results in algebra and analysis as time permits. It is recommended that this course be taken early in the graduate program.
MATH 6190  Analysis I
3credit hours
Prerequisite: MATH 4250 or equivalent. Rigorous treatment of limits, continuity, differentiation, and integration; infinite series; introduction to metric spaces.
Concentration Courses (18 hours)
18 credit hours from approved courses in mathematical sciences including at least one course from three of the following groups:
Actuarial and Financial Mathematics
ACSI 5200  Introduction to Mathematics of Investment
3credit hours
(Same as MATH 5200.) Prerequisite: MATH 1920 or consent of instructor. Models and methods to analyze investments in bonds, treasury bills, stocks, and other derivatives. Topics include obtaining the price of bonds, stocks, and options; sensitivity analysis; investment performance assessment; portfolio analysis; capital asset pricing model; and mathematical modeling of investor preference and attitude toward risk.
MATH 5200  Introduction to Mathematics of Investment
3credit hours
(Same as ACSI 5200.) Prerequisite: MATH 1920 or consent of instructor. Calculus and probability/statistics used to model and analyze investments in bonds, treasury bills, stocks, and other derivatives. Topics include obtaining the price of a bond as a function of interest rate, developing formulas for duration and convexity to study the sensitivity of price to interest rate, and mathematical modeling of investor preference and attitude toward risk.
ACSI 5330  Actuarial Mathematics I
3credit hours
Prerequisites: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. First of a twosemester sequence. Topics include survival distributions and life tables, life insurance, life annuities, and net premiums.
ACSI 5340  Actuarial Mathematics II
3credit hours
Prerequisite: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. Concepts and models for long term actuarial mathematics. Topics chosen from net premium reserves, multiple life functions, multiple decrement models, valuation theory and pension plans, and insurance models (including expenses and nonforfeiture benefits and dividends).
ACSI 5630  Mathematics of Risk Management
3credit hours
Prerequisite: ACSI/MATH 4200/ACSI 5200/MATH 5200. Topics chosen from mathematical modeling of volatility; pricing of bonds and stocks; duration and complexity; asset/liability management; forward contract, future contract, options; spreads, collars and other hedging strategies; option pricing models, BlackScholes formula, Greeks, Delta hedge, DeltaGamma hedge; hedge portfolio and hedge ratio.
ACSI 5640  Mathematics of Options, Futures, and Other Derivatives
3credit hours
Prerequisites: ACSI/MATH 4630/ACSI 5630/5630 and 4200/ACSI 5200/MATH 5200. Topics chosen from lognormal model; BlackScholes equation; volatility; risk neutral pricing; simulation; interest rate models; pricing of bonds, option on bonds, interest rate caps, and other interest rate derivatives.
ACSI 6010  Introduction to Loss Models
3credit hours
Prerequisite: STAT 5190 or consent of instructor. Topics include statistical distributions for modeling insurance claims frequency and severity, aggregate claim distributions, effect of coverage modifications and inflations, and risk measures.
MATH 6603  Problems in MathematicsMathematics of Finance
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
MATH 6604  Problems in MathematicsMathematics of Life Contingencies
1 to 9credit hours
Prerequisite: Mathematical maturity, preparation in the area, and normally nine semester hours of graduate study. Problems course dealing with theory methods and applications.
Algebra/Number Theory
MATH 5420  Number Theory
3credit hours
Divisibility congruences, quadratic residues, Diophantine equations, quadratic forms, and continued fractions.
MATH 5530  Abstract Algebra II
3credit hours
Prerequisite: MATH 4510 or MATH 5510. Theory of rings, fields, integral domains, matrices, and vector spaces.
MATH 6140  Selected Topics of Modern Mathematics: Algebra
3credit hours
Prerequisite: MATH 5530 or consent of instructor. Extension of previous work in algebra with emphasis on topics not treated in other courses.
MATH 6510  Advanced Algebra
3credit hours
Prerequisite: MATH 5530. Polynomial rings, theory of fields, vector spaces and intermediate group theory necessary for Galois theory, and Galois theory.
Analysis
MATH 6141  Selected Topics of Modern Mathematics: Analysis
3credit hours
Prerequisite: MATH 6200 or consent of instructor. Extension of previous work in analysis with emphasis on topics not treated in other courses.
MATH 6200  Analysis II
3credit hours
Prerequisite: MATH 6190 or equivalent. A continuation of MATH 6190. Lebesgue measure, Lebesgue integral, functions of bounded variation.
MATH 6210  Complex Variables
3credit hours
Prerequisite: MATH 6190. Theory of functions of complex variables and their application in mathematics and physics.
MATH 6250  Real Analysis
3credit hours
Prerequisite: MATH 6200. A continuation of MATH 6200. Advanced topics in real analysis. Abstract measure and integration theory. Introduction to functional analysis.
Combinatorics/Graph Theory
MATH 5700  Combinatorics and Graph Theory
3credit hours
Prerequisite: MATH 2010 or 3080. Selected topics in combinatorics and graph theory emphasizing combinatorial problem solving and algorithmic proof.
MATH 6700  Advanced Combinatorics and Graph Theory
3credit hours
Prerequisite: MATH 4700/MATH 5700. Selected topics in combinatorics and graph theory extending topics studied in MATH 4700/MATH 5700.
Geometry/Topology
MATH 5270  Introduction to Topology
3credit hours
Prerequisites: MATH 3110 and a previous upperdivision course in which the student has been required to write proofs. Fundamental concepts of topology including continuity, compactness, connectedness, separation axioms, and metric spaces.
MATH 6142  Selected Topics in Modern Mathematics: Topology
3credit hours
Prerequisite: MATH 4270 or MATH 5270 or consent of instructor. Extension of previous work in topology with emphasis on topics not treated in other courses.
MATH 6400  Advanced Geometry
3credit hours
Prerequisite: MATH 3070 or consent of instructor. Detailed study of one or more of the various branches of geometry including nonEuclidean geometry, projective geometry, algebraic geometry, and differential geometry.
Industrial Mathematics
MATH 5310  Numerical Analysis I
3credit hours
Prerequisite: CSCI 3180 or equivalent. Application of computeroriented numerical algorithms to algebraic equations, differential and integral equations, and linear algebra. Rigorous mathematical treatment of error included.
MATH 5320  Numerical Analysis II
3credit hours
Prerequisite: CSCI 3180 or equivalent. Application of computeroriented numerical algorithms to algebraic equations, differential and integral equations, and linear algebra. Rigorous mathematical treatment of error included.
MATH 6260  Advanced Differential Equations I
3credit hours
Prerequisites: MATH 3120 and 4250. Qualitative and quantitative analysis of systems of differential equations. Gradient systems, SturmLiouville problems. Elementary techniques for boundary value problems of partial differential equations.
MATH 6270  Advanced Differential Equations II
3credit hours
Prerequisite: MATH 6260. Solution techniques for boundary value problems. Problems involve heat, wave, and potential equations. Topics include the method of characteristics, series solutions, integral transforms, and Green's functions.
MATH 6300  Optimization
3credit hours
Prerequisite: MATH 5320 or consent of instructor. Constrained and unconstrained optimization problems, including the generalized least squares problem and Eigenvalue problems. Methods include orthogonalization, conjugate gradient, and quasiNewton algorithms.
MATH 6310  Control Theory
3credit hours
Prerequisite: MATH 6260 or consent of instructor. Vector space applications to system analysis; observability, controllability, and stabilization of systems; feedback systems; Lyapunov methods; optimal control, and the calculus variations.
Statistics
STAT 5200  Statistical Methods for Forecasting
3credit hours
Prerequisite: STAT 4190. Application of the regression model in forecasting regression and exponential smoothing methods to forecast nonseasonal timeseries, seasonal series and globally constant seasonal models, stochastic time series models; and forecast evaluation. (Offers preparation to actuarial science students for the Society of Actuaries Exam #120 and Exam Part 3A administered by the Casualty Actuarial Society.)
STAT 5320  Probability and Stochastic Processes
3credit hours
Prerequisite: Two semesters of calculus and STAT 3150 (or MATH 2050) or consent of instructor. Theoretical basis for stochastic processes and use as models of realworld phenomena. Topics include Markov chains, Poisson processes, and Brownian motion and stationary processes. Applications include Gambler's Ruin, birth and death models, hitting times, stock option pricing, and the BlackScholes model.
STAT 5360  Regression Analysis
3credit hours
Prerequisites: MATH 2050 and STAT 3150 or equivalent. Theory and application of regression models. Approaches to model building and data analysis treated. Computation and interpretation of results facilitated through use of statistical software packages.
STAT 5370  Nonparametric Statistics
3credit hours
Prerequisite: STAT 3150 or equivalent. Statistical tests that require no assertions about parameters or about the form of the population from which the samples are drawn. A wide range of practical problems.
STAT 5380  Experimental Design
3credit hours
Prerequisite: STAT 3150 or equivalent. Topics include oneway analysis of variance, multiple comparison, multifactor analysis of variance, and various practical issues in experimental design. Computation and interpretation of results are facilitated through the use of statistical software packages.
STAT 6160  Advanced Mathematical Statistics I
3credit hours
Prerequisite: Two semesters of calculus or permission of instructor. Introduction to theoretical probability used in statistics with an emphasis on the mathematical theory. A rigorous treatment of random variables, their probability distributions, and mathematical exceptions in a univariate and multivariate setting. Includes conditional probabilities, stochastic independence, sampling theory, and limit laws.
STAT 6180  Advanced Mathematical Statistics II
3credit hours
Prerequisite: STAT 6160 or permission of instructor. Theory of estimation and hypothesis tests. Topics include minimum variance unbiased estimation, methods of estimation, most powerful tests, likelihood ratio tests, decision theory, and sequential test procedures.
STAT 6602  Problems in StatisticsRegression Analysis
3credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
STAT 6603  Problems in StatisticsNonparametric Statistics
3credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
STAT 6604  Problems in StatisticsExperimental Design
3credit hours
Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.
Cognate (6 hours)
 Six additional graduatelevel hours in mathematics and statistics approved by advisor
Thesis (39 hours)
MATH 6640  Thesis Research
1 to 6 credit hours
(3 credit hours required)(3 credit hours required)
dotslash:(3 credit hours required)
title:(3 credit hours required)
(3 credit hours required)
MATH 6640  Thesis Research
1 to 6credit hours
Selection of a research problem, review of pertinent literature, collection and analysis of data, and composition of thesis. Once enrolled, student should register for at least one credit hour of master's research each semester until completion. S/U grading.
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