Epidemiology and Biostatistics, MS

Phone: 216.368.3725
Ming Wang, PhD- MS in Biostatistics Program Director
ms-biostatistics@case.edu

Kim Krajcovic - Education Program Manager
ms-biostatistics@case.edu


Degree: Master of Science (MS)
Field of Study: Epidemiology and Biostatistics


Program Overview

The Department of Population and Quantitative Health Sciences offers a revolutionary Master of Science Program in Epidemiology and Biostatistics, as well as a Combined Bachelor's/Master's Program, a discipline in high and exploding demand. The program can be done intensively in 11 months, or at a slower pace to finish in 1.5 or 2 years. Part-time students are welcome to do the program at their preferred pace! The program was designed after extensive interviews were conducted with a wide array of potential employers to make sure our graduates will have the edge in a marketplace that has been rapidly changing, while also prepared to continue in a PhD program. More and more, biostatisticians are expected to have familiarity with the area of application. The CWRU MS in Epidemiology and Biostatistics program reflects these new needs. Students may elect to take the program part-time and complete it at their own pace.

Picture yourself saving and improving lives:

  • Analyzing data from health studies to determine the optimal intervention or treatment
  • Working with extensive patients health record data
  • Identifying genes associated with specific diseases
  • Using data to develop instruments for measuring latent constructs like psychosocial well-being

There are four tracks our students can choose from: Biostatistics, Genomics & Bioinformatics, Health Care Analytics, and Social & Behavioral Science.

Students do internships at leading academic medical centers and research centers, at the National Institutes of Health and in industry. Graduates are going on to jobs at leading health institutions and getting funded PhD slots at top Universities.

General Requirements

Students must satisfy the requirements of the School of Graduate Studies as stated here, as well as those outlined by the Epidemiology and Biostatistics program. The MS program in Epidemiology and Biostatistics offers “Plan B,” as defined by the CWRU School of Graduate Studies. For Plan B, the student must successfully submit and pass their written internship/practicum project.

For current CWRU undergraduate students: The MS in Epidemiology and Biostatistics program is an eligible program for those seeking the Combined Bachelor's/Master's Programwhich allows for the completion of both a Bachelor's (any major) and Master of Science in Epidemiology and Biostatistics in 4-5 years. This program is intended to be an honors graduate program for highly motivated and qualified Bachelor's students who wish to pursue an advanced degree. Students admitted to the Program may, in their junior and/or senior year, take up to nine credit hours of graduate courses that will count toward both Bachelor's and Master's requirements. Students interested in the Combined Bachelor's/Master's Program must have 75 completed credit hours of coursework to apply.

Important Note: The program information contained on this page is current as of April 1st, 2026. For the most current information, we advise you to review the MS in Epidemiology and Biostatistics program handbook.

Graduate Policies

For graduate policies and procedures, please review the School of Graduate Studies section of the General Bulletin.

Program Requirements

PQHS 414Data Management and Statistical Programming3
PQHS 431Statistical Methods I3
PQHS 432Statistical Methods II3
PQHS 453Categorical Data Analysis3
PQHS 490Epidemiology: Introduction to Theory and Methods3
PQHS 502Introduction to Statistical Consulting1
PQHS 602Practicum3
PQHS 401Research Seminar0
Track Required Courses/Electives12
Total Credit Hours31

Biostatistics (Generalist) Track:

Biostatistics (Generalist) track students will receive a carefully designed balanced training in biostatistical theories, methods, and biomedical applications. This track student will gain mastery of basic probability theory and statistical inference, learn the methods of survival and longitudinal data analysis, and still have the flexibility to choose an elective from advanced courses. The didactic methods and theory, and hands-on analytical training would lead to either the pursuit of an advanced relevant degree and/or work as a master's level biostatistician in various settings, e.g. academia, industry, hospitals, pharmaceutical companies or government agencies.

Track Leader:

Dr. Abdus Sattar, PhD
Email: sattar@case.edu
Phone Number: 216.368.1501
Website: sattar.case.edu

Biostatistics (Generalist) Track Required Courses:
PQHS 435Survival Data Analysis3
PQHS 480Introduction to Mathematical Statistics3
PQHS 459Longitudinal Data Analysis3
Biostatistics (Generalist) Track Electives (choose one):3
Machine Learning & Data Mining
Multivariate Analysis and Data Mining
Clinical Trials and Intervention Studies
Total Credit Hours12

Genomics and Bioinformatics Track:

Students will be trained to work in genomics and bioinformatics areas. In addition to the basics in biostatistics, they will learn the designs, methods, techniques, and tools that are commonly used in genetic epidemiology, statistical genomics, and bioinformatics research.  Big Data methods of data mining and machine learning are also required in this track. Target job positions are analyst, statistician and bioinformatics in genomics or genetic epidemiology research team in a research institute/university, pharmaceutical or biotech company.

Track Leader:

Fredrick Schumacher
Email: frs2@case.edu
Phone Number: 216.368.0351

Genomics and Bioinformatics Track Required Courses:
PQHS 471Machine Learning & Data Mining3
PQHS 430Basics of Probability and Statistical Theory0
PQHS 451A Data-Driven Introduction to Genomics and Human Health3
PQHS 452Statistical Methods for Genetic Epidemiology3
Genomics and Bioinformatics Track Electives (choose one):3
Technologies in Bioinformatics
Bioinformatics for Systems Biology
Total Credit Hours12

Health Care Analytics Track: 

Biostatistics is a vital part of clinical research, which includes both observational studies and randomized clinical trials. Modern clinical, or patient, research takes advantage of innovative methodologies for the design and analysis of such studies to increase the likelihood of success and minimize patient burden and the use of scarce resources. Clinical research biostatisticians work as part of multi-disciplinary teams with clinical and statistical investigators to develop and execute study designs and analysis plans with scientific rigor and in support of regulatory requirements by sanctioning bodies and funding agencies. Principal roles include the design, analysis, coordination and reporting of observational and trial-based clinical research studies. Most of a clinical research biostatistician’s work is dedicated to evaluating, executing and reporting on well-designed studies to help investigators meet their scientific objectives. Related job titles include biostatistician, lead, senior or principal biostatistician, consulting statistician, statistical researcher, statistical programmer, clinical informaticist, data scientist and clinical research manager. Such positions require strong written and verbal communication skills, and the ability to work as part of a team with subject matter experts on protocol development and statistical reporting. Biostatisticians completing the Health Care Analytics track will be well-positioned to apply for positions in industry, academia (including teaching hospitals), pharmaceutical companies and government.

Track Leader:

Thomas Love, PhD
Email: tel3@case.edu
Phone Number: 216.778.1265

Health Care Analytics Track Required Courses:
PQHS 435Survival Data Analysis3
PQHS 430Basics of Probability and Statistical Theory0
PQHS 515Secondary Analysis of Large Health Care Databases3
Health Care Analytics Track Electives (choose two):6
Longitudinal Data Analysis
Design and Analysis of Observational Studies
Clinical Trials and Intervention Studies
Machine Learning & Data Mining
Total Credit Hours12

Social and Behavioral Sciences Track:

Students will be trained to work as analysts and research assistants in the social and behavioral sciences, including anthropology, sociology, psychology, psychiatry, and social work. Students will be trained in the most common study designs and analytic methods in these application areas. Such work often involves collaboration with multidisciplinary teams in community-practice / biomedical settings, with a focus on developmental, social/behavioral, cognitive, and/or mental health outcomes. This track is intended for students whose undergraduate work involved a major or minor in one of the social and behavioral sciences. It was created to serve the needs of social and behavioral science researchers who need research analysts trained in statistics, but with an understanding of their field and familiarity with qualitative and mixed methods as well. Target job positions are in academia, government, and research institutes.

Track Leader:

Arin Connell, PhD
Email: arin.connel@case.edu
Phone Number: 216.368.1550

Social and Behavioral Sciences Track Required Courses:
PQHS 459Longitudinal Data Analysis3
PQHS 430Basics of Probability and Statistical Theory0
MPHP 482Qualitative and Mixed Methods in Public Health3
NURS 632Advanced Statistics: Structural Equation Modeling3
PSCL 412Measurement of Behavior3
Total Credit Hours12

Graduates from accredited universities and colleges will be considered for admission to the department. All applicants must satisfy both CWRU and department requirements for graduate admission. The MS program in Biostatistics consists of a 16-credit core curriculum, plus a 12 credit major and a 3 credit internship or practicum.

 

Sample Plan of Study

Plan of Study Grid
First Year
FallCredit Hours
PQHS 414 Data Management and Statistical Programming 3
PQHS 431 Statistical Methods I 3
PQHS 490 Epidemiology: Introduction to Theory and Methods 3
Track Required Course/Elective 3
PQHS 430 Basics of Probability and Statistical Theory a 0
 Credit Hours12
Spring
PQHS 432 Statistical Methods II 3
PQHS 502 Introduction to Statistical Consulting 1
PQHS 401 Research Seminar 0
Track Required Course/Elective 3
Track Required Course/Elective 3
Track Required Course/Elective 3
 Credit Hours13
Summer
PQHS 453 Categorical Data Analysis 3
PQHS 602 Practicum 3
 Credit Hours6
 Total Credit Hours31
a

Not required for Biostatistics (Generalist) Track.