• Biostatistics master’s program gives students advanced business, science training
  • ‘Lost Boy’ refugee Alier Reng joins university faculty after earning Biostatistics M.S.
  • Professors offer students opportunities to pursue statistical research in the health field
  • Students work for big-name health care employers during professional internships

Biostatistics M.S.

Biostatistics, a concentration within the Professional Science major, leading to a Master of Science, provides training in statistical methods that can be applied to biomedical and health-related fields. These methods involve using mathematics to solve real-world problems that influence health. Statistical areas of study include clinical trials, experimental design, categorical and longitudinal data analysis, and survival analysis. The M.S. in Professional Science combines the business management skills commonly found in the traditional M.B.A.-type program with advanced learning in specific science fields. The program consists of 21 hours of concentration-specific courses and 15 core hours in pre-defined business courses. Students complete a 250-hour internship, typically just before or during their final semester, instead of a thesis and comprehensive exams.

Agency’s data portal helps grad monitor tribal health

Agency’s data portal helps grad monitor tribal health

Biostatistics M.S. alum Bryan Hendrix works as a health information technology specialist at the Tribal Epidemiology Center in Nashville for United South and Eastern Tribes Inc., a non-profit agency. The center aims to improve the health of American Indians and Alaska Natives. Hendrix’s main priority is the grant-funded Population Health Data Portal. This tool helps the 26 federally recognized member tribes monitor the health of their citizens and identifies health disparities in AI/AN communities. Routine report topics include diabetes and mortality that are specific for each of the 26 area tribal nations. Trial health directors can request special reports on topics such as: maternal and child health, immunization, prescription drug use, tobacco use, hypertension, obesity, and domestic violence. “Biostatistics is an important (body of) knowledge that can improve public health,” Hendrix says. Hendrix also holds a B.S. in Professional Mathematics with a minor in Information Systems.

Biostatistician involved with cancer center’s drug research

Biostatistician involved with cancer center’s drug research

David Moorman, who graduated with the Biostatistics master’s degree, serves as a biostatistician for Sarah Cannon Research Institute Development Innovations. The company is a Contract Research Organization (CRO) focusing on early-phase oncology drug development in solid tumors and hematologic malignancies. Moorman’s role as biostatistician is to focus on study design, data analysis, and interpretation. He learned about the Master’s in Professional Science and the Biostatistics concentration during his last semester of earning his bachelor’s in Mathematics with a Computer Science minor. “The master’s in Professional Science program offered me a clear path to a career that has enabled me to apply both my computer programming and mathematics skills,” Moorman says. ”On a daily basis, I get to apply knowledge gained from the program to help advance therapies for patients.”

Reports from the Department of Labor indicate an increasing demand for individuals with master's level training with a specialty in science. MTSU is home to the only Master of Science in Professional Science program in Tennessee and prepares "business savvy scientists" for the 21st century job market. Biostatistics master’s graduates will ideally work as biostatisticians in professional settings including health care agencies; governmental agencies such as the National Institutes of Health, the Centers for Disease Control and Prevention, and the Environmental Protection Agency; and the pharmaceutical industry. 

Employers of MTSU alumni include

  • Emory University School of Medicine
  • Lifepoint Hospitals
  • Sarah Cannon Research Institute
  • Tribal Epidemiology Center
  • Vanderbilt Ingram Cancer Center

The Master of Science (M.S.) with a major in Professional Science includes a business core with specific concentrations in Actuarial Sciences, Biostatistics, Biotechnology, Engineering Management, Geosciences, and Health Care Informatics.

The two-year master’s degree in the sciences, technology, engineering, and mathematics (STEM) was initially started with support by the Alfred P. Sloan Foundation. The interdisciplinary program is a partnership of the College of Basic and Applied Sciences, College of Behavioral and Health Sciences, College of Liberal Arts, and the Jennings A. Jones College of Business.

Applicants for unconditional admission for the Biostatics concentration must have

  • An undergraduate degree from an accredited university or college.
  • A grade of C (2.0) or better on multivariate calculus (MATH 3110 or the equivalent).
  • A grade of C (2.0) or better in linear algebra (MATH 2010 or the equivalent).
  • Basic competency in word processing, electronic mail, library retrieval systems, presentation graphics, spreadsheets, and databases/
  • A score of 286 (current scale) or 900 (former scale) on the Graduate Record Examination (GRE). 

For complete curriculum details, click on the REQUIREMENTS tab above.

Professional Science, Biostatistics Concentration, M.S.

Saeed Foroudastan, Program Director
Professional Sciences
(615) 494-7618
Saeed.Foroudastan@mtsu.edu
Lisa Green, Program Coordinator
Biostatistics Concentration
(615) 898-5775

Lisa.Green@mtsu.edu

The College of Basic and Applied Sciences offers the Master of Science with a major in Professional Science (M.S.) with six concentrations: Actuarial Sciences, Biostatistics, Biotechnology, Engineering Management, Geosciences, and Health Care Informatics.

Please see undergraduate catalog for information regarding undergraduate programs.

Admission Requirements

Admission to the Master of Science in Professional Science with a concentration in Biostatistics requires

  1. an earned bachelor’s degree from an accredited university or college with a course in multivariate calculus with a grade of C (2.00) or better and a course in linear algebra with a grade of C (2.00) or better;
  2. basic competency in word processing, electronic mail, library retrieval systems, presentation graphics, spreadsheets, and databases;
  3. the appropriate undergraduate preparation for advanced study of biostatistics.

Once accepted into the College of Graduate Studies, students interested in the Master of Science in Professional Science program may enroll for one semester before being fully admitted to the program.

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);
  2. submit official transcripts from all collegiate institutions attended;;
  3. submit three letters of reference to graduate@mtsu.edu (or mail to College of Graduate Studies);
  4. submit an official Graduate Record Examination (GRE) report. A composite GRE score of 286 (current scale) or 900 (former scale) is expected for consideration for unconditional admission.

Degree Requirements

Once admitted to the program, each candidate must complete a minimum of 36 semester hours of graduate credit (see specifics in Curriculum section, below).

Curriculum: Professional Science, Biostatistics

Candidate must complete 36 hours in the following course of study:

Core Courses (15 hours)

 

  • BCED 6820 - Managerial Communication

    3 credit hours

    Analysis of communication theory and communication processes with emphasis on development of executive communication skills essential for understanding organizational processes from a holistic perspective. Covers organizational theory, behavior, and interpersonal communication from both a domestic and global perspective.

  • BCED 6910 - Internship Program

    3 credit hours

    A supervised program of related work experience. Provides experiential opportunities for the application of the theoretical concepts learned.

  • ACTG 6100 - Accounting and Legal Issues for Managers

    3 credit hours

    Surveys accounting skills and legal perspectives necessary for managers without undergraduate business degrees to enter the businessworld. Will not meet the requirements for the M.S. in Information Systems, M.Acc. in Accounting, or the M.B.A. degree programs.

  • MGMT 6740 - Leadership and Motivation

    3 credit hours

    Issues in leadership and motivation in business organizations. An examination of the theoretical framework for leadership and motivation processes serves as foundation. Emphasis on practical issues and applications of leadership development and motivation.

  • STAT 5140 - Probabilistic and Statistical Reasoning

    3 credit hours

    Prerequisite: Must be enrolled in the Master of Science in Professional Sciences program; graduate level. Focuses on probability and statistics concepts. Topics include binomial and normal probabilistic modeling; important statistical concepts such as confounding, randomization, sampling variability and significance; statistical testing of significant differences and associations; and design experiments to test research hypotheses.

Concentration Courses (21 hours)

 

  • STAT 6020 - Introduction to Biostatistics

    3 credit hours

    Prerequisite: Introductory probability/statistics course 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 6160 - Advanced Mathematical Statistics I

    3 credit 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

    3 credit 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 6510 - Biostatistical Methods

    3 credit hours

    Prerequisite: STAT 6020 or permission of instructor. Biostatistical methods focusing on the design and analysis of clinical trials and sample surveys. Topics include clinical trial designs and phases, bias, random error, sample size, power, estimating clinical effects, design-based methods of data analysis from sample surveys, sampling techniques, nonresponse, and sampling frame issues.

  • STAT 6520 - Advanced Biostatistical Methods

    3 credit hours

    Prerequisites: STAT 6020 and STAT 6160 or permission of instructor. Mathematically rigorous presentation of categorical data analysis methods for univariate and correlated multivariate responses including contingency table analysis, logistic regression, and loglinear models; survival analysis for analyzing time-to-event data including survivor functions, Kaplan-Meier curves, and Cox proportional hazards model; and other health applications of multivariate analysis methods.

Six hours from the following:

 

  • STAT 6602 - Problems in Statistics-Regression Analysis

    3 credit 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

    3 credit 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

    3 credit 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 6605 - Problems in Statistics-SAS Programming

    1 to 9 credit hours

    Prerequisite: Mathematical maturity, preparation in the area and (normally) nine semester hours of graduate study. Problems course dealing with theory, methods, and applications.

Program Notes

Candidate must

  1. file a degree plan in the College of Graduate Studies prior to entry into the program;
  2. file a Notice of Intent to Graduate form in the College of Graduate Studies within the first two weeks of the term in which candidate intends to graduate.

Suggested Curriculum - Full Time

Fall Year 1 (9 credits)  Spring Year 1 (9 credits)
  • Core Course: BCEN 6820 or ACTG 6100 (3 credits)
  • Core Course: STAT 5140 Probabilistic and Statistical Reasoning (3 credits)
  • STAT 6602 Problems in Statistics, Regression Analysis (3 credits)
  • Core Course: MGMT 6740 (3 credits)
  • STAT 6020 Introduction to Biostatistics (1 credit)
  • STAT 6602 Problems in Statistics, Regression Analysis - Logistic Regression (1 credit)
  • STAT 6603 Problems in Statistics, Nonparametric Statistics (even year springs) (4 credits)

    OR

  • STAT 6604 Problems in Statistics, Experimental Design (odd year springs) (4 credits)
Fall Year 2 (9 credits)  Spring Year 2 (6 credits)
  • Core Course: BCEN 6820 or ACTG 6100 (Select the course not previously completed in the first term) (3 credits)
  • STAT 6160 Statistics (3 credits)
  • STAT 6510 Biostatistical Methods (3 credits)
  • BCEN 6910 Internship (3 credits)
  • STAT 6180 Statistical Inference (3 credits)
  • STAT 6520 Advanced Biostatistical Methods (3 credits)


Suggested Curriculum - Part Time

Fall Year 1 (7 credits)  Spring Year 1 (6 credits)
  • Core Course: BCEN 6820 or ACTG 6100 (3 credits)
  • STAT 5140 Probabilistic and Statistical Reasoning (Core, 3 credits)
  • STAT 6020 Introduction to Biostatistics (1 credit)
  • Core Course: MGMT 6740 (3 credits)
  • STAT 6603 Problems in Statistics, Nonparametric Statistics (3 credits, even year springs)

    OR

  • STAT 6604 Problems in Statistics, Experimental Design (3 credits, odd year springs)
Fall Year 2 (6 credits)  Spring Year 2 (5-6 credits)
  • STAT 6160 Statistics (3 credits)
  • STAT 6602 Problems in Statistics, Regression Analysis (3 credits)
  • STAT 6180 Statistical Inference (3 credits)
  • Approved Elective(s) as needed to total 21 hours in Biostatistics Concentration
FALL YEAR 3 (6 CREDITS) SPRING YEAR 3 (5-6 CREDITS)
  • Core Course: BCEN 6820 or ACTG 6100 (3 credits)
  • STAT 6510 Biostatistical Methods (3 credits)
  • BCEN 6910 Internship (3 credits)
  • STAT 6520 Advanced Biostatistical Methods (3 credits)

Contact and Student Information

Lisa Bloomer Green
Lisa.Green@mtsu.edu

Phone | 615-898-5775


Dr. Saeed Foroudastan
Program Director
Saeed.Foroudastan@mtsu.edu

Phone | 615-494-7618

Lisa Bloomer Green
Lisa.Green@mtsu.edu

Phone | 615-898-5775

College of Basic and Applied Sciences
ATTN: Dr. Saeed Foroudastan
Middle Tennessee State University
MTSU Box 83
1301 East Main Street
Murfreesboro, TN 37132


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

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