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As our world becomes increasingly quantitative and data-oriented, 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, data-based 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 faculty-student 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 hands-on experience through research. Students in the Actuarial and Financial Mathematics concentration also have the opportunity to complete an internship.


What We're Doing

Weekly seminars help grad find passion for graph theory

Weekly seminars help grad find passion for graph theory

Hays Whitlatch earned his M.S. in Mathematics at MTSU following a recommendation from a co-worker 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 award-winning thesis focuses on cancer, imaging data

Zhang award-winning 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 "cutting-edge" because linking spectroscopy technology and the applied-statistical 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.


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  • MTSU College of Graduate Studies

    MTSU College of Graduate Studies

  • MTSU | The University of Opportunities

    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 problem-solving 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 Tennessee-Knoxville
  • 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) 904-8339
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 36-42 credit hours. In addition, at most thirty percent of the total credit hours in the program may be at the 5000-level, 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

  1. have earned a bachelor's degree from an accredited university or college;
  2. have an acceptable grade point average for all college work taken;
  3. have completed 21 semester hours of college-level 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

  1. 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.
  2. submit official scores on the GRE or MAT;
  3. submit official transcripts of all previous college work;
  4. 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; however, students choosing to submit letters should email them to Carmen.Bucka@mtsu.edu.
  5. 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 36-42 semester hours (thesis option).

Candidate must

  1. participate in the graduate seminar and give an oral presentation of an approved topic;
  2. 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  3 credit hours  

    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  3 credit hours  

    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.

  •   credit hours  

    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.

  •   credit hours  

    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.

  •   credit hours  

    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.

  •   credit hours  

    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 Black-Scholes model.

  •   credit hours  

    ACSI 5330 - Actuarial Mathematics I

    3credit hours

    Prerequisites: ACSI 4230/ACSI 5230 and STAT 4190 or consent of instructor. First of a two-semester sequence. Topics include survival distributions and life tables, life insurance, life annuities, and net premiums.

  •   credit hours  

    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).

  •   credit hours  

    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, Bornhuetter-Ferguson method, trend losses, rate making on losses and exposure, IBNR reserving, make loss payments plan, reporting and communication of analysis results.

  •   credit hours  

    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, Black-Scholes formula, Greeks, Delta hedge, Delta-Gamma hedge; hedge portfolio and hedge ratio.

  •   credit hours  

    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; Black-Scholes equation; volatility; risk neutral pricing; simulation; interest rate models; pricing of bonds, option on bonds,  interest rate caps, and other  interest rate derivatives.

  •   credit hours  

    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.

  •   credit hours  

    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.

  •   credit hours  

    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 1-12 hours.Credit will be based on the difficulty and complexity of the project as determined by the instructor. Pass/Fail grading.

  •   credit hours  

    MATH 6200 - Analysis II

    3credit hours

    Prerequisite: MATH 6190 or equivalent. A continuation of MATH 6190. Lebesgue measure, Lebesgue integral, functions of bounded variation.

  •   credit hours  

    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 quasi-Newton algorithms.  

  •   credit hours  

    MATH 6603 - Problems in Mathematics-Mathematics 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.

  •   credit hours  

    MATH 6604 - Problems in Mathematics-Mathematics 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.

  •   credit hours  

    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.

  •   credit hours  

    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 time-series, 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.)

  •   credit hours  

    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 real-world 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 Black-Scholes model.

  •   credit hours  

    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.

  •   credit hours  

    STAT 5700 - Analysis of Large-Scale Data Sets

    3credit hours

    The analysis and applications of large-scale data sets. Scalable machine learning and data mining applications in a practical clinical environment. Statistical software used in the application of these techniques.

  •   credit hours  

    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.

  •   credit hours  

    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.

  •   credit hours  

    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)

Thesis Option (36-42 hours)

Mathematics, Mathematics Education, M.S.

Mathematics, Mathematics Education, M.S.

James Hart, Program Director
(615) 898-2402
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

  1. have earned a bachelor's degree from an accredited university or college;
  2. have an acceptable grade point average for all college work taken;
  3. have completed 21 semester hours of college-level 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

  1. 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.
  2. submit official scores on the GRE or MAT;
  3. submit official transcripts of all previous college work;
  4. 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; however, students choosing to submit letters should email them to Carmen.Bucka@mtsu.edu.
  5. 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 non-thesis options. Students electing the non-thesis 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 non-thesis option requires completion of 36 credit hours. The thesis option requires completion of 36-42 credit hours. In addition, at most thirty percent of the total credit hours in the program may be at the 5000-level, 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.

Non-thesis 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  3 credit hours  

    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  3 credit hours  

    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. Problem-solving 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 school-community relations programs.

  • FOED 6630 - Educational Tests and Measurements

    3credit hours

    Basic concepts in educational measurement and evaluation; evaluation as a part of the teaching-learning 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 graduate-level 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 (36-42 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  3 credit hours  

    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  3 credit hours  

    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 Statistics-Regression 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 Statistics-Nonparametric 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 Statistics-Experimental 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. Problem-solving 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 school-community relations programs.

  • FOED 6630 - Educational Tests and Measurements

    3credit hours

    Basic concepts in educational measurement and evaluation; evaluation as a part of the teaching-learning 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 graduate-level courses in mathematics and statistics as approved by advisor

Thesis (3-9 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) 898-2402
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

  1. have earned a bachelor's degree from an accredited university or college;
  2. have an acceptable grade point average for all college work taken;
  3. have completed 21 semester hours of college-level 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

  1. 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.
  2. submit official scores on the GRE or MAT;
  3. submit official transcripts of all previous college work.
  4. 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; however, students choosing to submit letters should email them to Carmen.Bucka@mtsu.edu.
  5. 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 non-thesis and thesis options. Students electing the non-thesis 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 non-thesis option requires completion of 36 credit hours. The thesis option requires completion of 36-42 credit hours. In addition, at most thirty percent of the total credit hours in the program may be at the 5000-level, 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.

Non-thesis 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  3 credit hours  

    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  3 credit hours  

    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  3 credit hours  
    OROR  dotslash:OR title:OR 
    OR 

    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 two-semester 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, Black-Scholes formula, Greeks, Delta hedge, Delta-Gamma 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; Black-Scholes 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 Mathematics-Mathematics 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 Mathematics-Mathematics 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  3 credit hours  

    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 6510 - Advanced Algebra  3 credit hours  

    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 6200 - Analysis II  3 credit hours  

    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  3 credit hours  

    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 upper-division 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 non-Euclidean geometry, projective geometry, algebraic geometry, and differential geometry.

Industrial Mathematics

  • MATH 5310 - Numerical Analysis I

    3credit hours

    Prerequisite: CSCI 3180 or equivalent. Application of computer-oriented 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 computer-oriented 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, Sturm-Liouville 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  3 credit hours  

    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 quasi-Newton algorithms.  

  • MATH 6310 - Control Theory  3 credit hours  

    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 time-series, 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 real-world 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 Black-Scholes 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 one-way 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 Statistics-Regression 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 Statistics-Nonparametric 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 Statistics-Experimental 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 graduate-level 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 (36-42 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  3 credit hours  

    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  3 credit hours  

    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  3 credit hours  
    OROR  dotslash:OR title:OR 
    OR 

    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 two-semester 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, Black-Scholes formula, Greeks, Delta hedge, Delta-Gamma 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; Black-Scholes 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 Mathematics-Mathematics 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 Mathematics-Mathematics 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  3 credit hours  

    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 6510 - Advanced Algebra  3 credit hours  

    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 6200 - Analysis II  3 credit hours  

    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  3 credit hours  

    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 upper-division 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 non-Euclidean geometry, projective geometry, algebraic geometry, and differential geometry.

Industrial Mathematics

  • MATH 5310 - Numerical Analysis I

    3credit hours

    Prerequisite: CSCI 3180 or equivalent. Application of computer-oriented 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 computer-oriented 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, Sturm-Liouville 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  3 credit hours  

    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 quasi-Newton algorithms.  

  • MATH 6310 - Control Theory  3 credit hours  

    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 time-series, 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 real-world 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 Black-Scholes 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 one-way 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 Statistics-Regression 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 Statistics-Nonparametric 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 Statistics-Experimental 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 graduate-level hours in mathematics and statistics approved by advisor

Thesis (3-9 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.

Our adjunct faculty bring outstanding professional experience to our programs. Many are industry leaders with decorated careers and honors. Importantly, they are innovative educators who offer hands-on learning to our students to prepare them to enter and thrive in a dynamic, and oftentimes emerging, industry and professional world. They inspire, instruct, and challenge our students toward academic and professional success.

Online or Hybrid Programs at a Glance

This program is available .


For More Information or Explore Your Options​

Contact your department / program coordinator or advisor for more details about the program OR work one-on-one with your advisor to explore your options.


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The Online Advantage​

With over 25 years of experience in online teaching and learning, MTSU Online offers students access to innovative, high-quality programs. Designed with students in mind, our courses allow maximum flexibility for those unable to participate in person. ​

Resources and services for online students are available from MTSU Online or contact us at distance@mtsu.edu.

Contact Information

James Hart
James.Hart@mtsu.edu
615-898-2402

Who is My Advisor?

James Hart
James.Hart@mtsu.edu
615-898-2402

Actuarial Science

Don Hong
Don.Hong@mtsu.edu
615-904-8339

Math Education

DovieKimmins
MS_MathEd@mtsu.edu
615-898-2396

Mailing Address

Department of Mathematical Sciences
MTSU BOX 34
1301 East Main Street
Murfreesboro, Tennessee 37132


College of Graduate Studies
Middle Tennessee State University
MTSU Box 42
1301 East Main Street
Murfreesboro, TN 37132

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