Master of Science in Computational Epidemiology and Systems Modeling
2-Year DEGREE PROGRAM | 48 CREDIT HOURS
The Master of Science (MS) in Computational Epidemiology and Systems Modeling program trains students to become highly skilled epidemiologists who can understand and analyze public health problems with mathematical and statistical models.
Epidemiological models and simulation-based analyses are increasingly used to inform public health policy and practice. The proposed curriculum aims to provide students with the knowledge, skills, and hands-on experience necessary to become epidemiologists who are proficient in mathematical modeling, computational science, and the statistical tools that connect these models to real-world data and problems. Graduates of the program will be well-prepared for careers in research, academia, data management, industry, and health informatics.
The degree is awarded by the University of Michigan’s Rackham Graduate School through the Department of Epidemiology in the University of Michigan School of Public Health.
The program is organized around four core areas: epidemiology, mathematical modeling, statistics, and computing/programming. Training consists of three elements:
- Core courses that introduce and further explain key concepts in epidemiology, mathematical modeling, statistics, and computing/programming (35 credits)
- A series of electives covering topics in computational epidemiology, systems modeling, public health decision-making, and applied statistics (9 credits)
- Capstone project(s) to be completed by students during the final two semesters of the MS degree program (4 credits)
Courses will serve as a way for students to gain knowledge across the four disciplines and apply their acquired skills to coursework. By graduation, students will have competence in key computing languages (e.g. R, Python, or C++).
Computational Epidemiology and Systems Modeling Requirements
|EPID 600: Introduction to Epidemiology||4||Fall|
|EPID 602: EPID Methods II: Applied Epidemiologic Data Analysis||4||Winter|
|EPID 675, 684, or 815: EPID Advanced Methods||3||Winter|
|EPID 633: Introduction to Modeling in Public Health||3||Fall|
|EPID 634: Foundations of Infectious Disease Modeling||3||Winter|
|EPID 636: Cancer Risk and Epidemiology Modeling||3||Fall|
|Biostatistic Sequence Option 1|
|*BIOSTAT 601: Probability And Distribution Theory||4||Fall|
|*BIOSTAT 650: Applied Statistics I: Linear Regression||4||Fall|
|*BIOSTAT 651: Applied Statistics II: Extensions for Linear Regression||3||Winter|
|BIOSTAT 607: Basic Computing for Data Analytics||1||Fall|
|BIOSTAT 615: Statistical Computing||3||Fall|
*The Biostat 600-level sequence has a prerequisite of three semesters of undergraduate level calculus and one semester of undergraduate level linear algebra. Students without these prerequisites should take instead the Biostatistics sequence for MPH in Epidemiology students (First term Biostat 521, Second term Biostat 522 and Third term Biostat 523)
Elective Options are listed below (9 credits)
Epidemiology Elective Options- 1 required:
|EPID 601: Principles and Methods of Epidemiology||4||Fall|
|EPID 605: Infectious Disease Epidemiology||3||Fall|
|EPID 514: Social Epidemiology (3 credits)||3||Fall|
|EPID 621: Cancer Epidemiology (3 credits)||3||Winter|
|EPID 637: Systems Modeling of Behavior, Social Processes and Chronic Disease||3||Winter|
|CMPLXSYS 530: Computer Modeling of Complex Systems||3||Winter|
Statistics Elective Options
|BIOSTAT 625: Computing with Big Data||3||Fall|
|BIOSTAT 675: Survival Time Analysis||3||Fall|
|STATS 531: Analysis of Time Series||3||Winter|
|STATS 620: Applied Probability and Stochastic Modeling||3||Winter|
Health Management and Policy Elective Options - 1 required
|HMP 553: Data Management in Health Care||3||Winter|
|HMP 610: Cost-Effectiveness Analysis in Health||3||Fall|
|HMP 654: Operations Research and Control Systems in Health Care||2-3||Fall|
|HMP 655: Decision Making Models in Health Care||3||Winter|
Epidemiology is a discipline strongly rooted in the life sciences and quantitative analysis. Applicants should have a strong interest in quantitative science and health; an undergraduate degree in engineering, social, life or applied quantitative sciences, mathematics, statistics or public health; and, ideally, should have taken courses in calculus, linear algebra, statistics and/or programming.
Faculty and Research
Students in the MS in Computational Epidemiology and Systems Modeling program will have the opportunity to learn and work alongside faculty with varied interests, specializations, backgrounds, and active research projects in different areas. From cancer intervention, to surveillance modeling and pandemic response, University of Michigan School of Public Health faculty lead centers and partnerships that span the globe.
Associated Research Centers
- University of Michigan and Georgetown University CAsToR Tobacco Modeling Center
- Michigan Institute for Computational Discovery and Engineering (MICDE)
- University of Michigan Center for the Study of Complex Systems (CSCS)
- National Cancer Institute Cancer Intervention and Surveillance Modeling Network (CISNET)
Research, News, and More
- Reducing Lung Cancer Mortality Through Modeling and Simulations
- Teaching Infectious Disease History in 2020
- How Coronavirus Is Impacting the Most Vulnerable
- Opening Up US Will Trigger More COVID-19 Cases, but Disease Models Suggest How to Avoid a Second Peak
- Coronavirus: How We Got Here
- Strict Public Health Measures During Holidays Likely Saved Lives in Michigan
- Smoking, Tobacco Use Among Teens Continues to Drop Even as E-Cig Use Grows
- Disease Detectives: How to Track an Epidemic
Ready to Apply?
MS applicants apply to our program through the University of Michigan Rackham Graduate School.
The deadline for applications to the MS in Computational Epidemiology and Systems Modeling program is December 1, 2021. Final Dealine for International Applicants: January 15, 2022.
As part of the application process, prospective students must provide:
- Statement of Purpose: Your statement of purpose should be a concise, well-written statement about your academic and research background as well as your career goals. The length of the statement of purpose should be between 1-3 pages and submitted via ApplyWeb and Rackham.
- Personal Statement: Your personal statement should be a discussion of the journey that led to your decision to pursue a graduate degree in Computational Epidemiology and Systems Modeling. It should be submitted via ApplyWeb and Rackham.
- Applicants who attended or are attending a U.S. Institution:
Upload an electronic version of your official transcript(s) for each bachelor’s, master’s, professional, or doctoral degree earned or in progress through your ApplyWeb application account.
If you are recommended for admission, the Rackham Graduate School will require an official transcript(s). Recommended applicants will receive an email notification when the official transcript(s) are required for submission. All students are asked to include an electronic transcript during the online application.
- Applicants who attended or are attending a U.S. Institution:
- Applicants who attended or are attending a non-U.S. institution: Review required academic
credentials from non-U.S. institutions for transcript/academic record requirements
by country or region. Submitting transcript/academic records is a two-step process.
Upload an electronic version of your official transcript/academic record for each institution attended through your ApplyWeb application account.
At the time of application, you must also submit an official transcript/academic record for each institution attended. See Rackham’s detailed instructions on how to submit transcripts/academic records to the Rackham Graduate School.
- Applicants who attended or are attending a non-U.S. institution: Review required academic credentials from non-U.S. institutions for transcript/academic record requirements by country or region. Submitting transcript/academic records is a two-step process.
- English Language Test Scores: The TOEFL or IELTS is required for applicants whose native language is not English, unless they meet one of the exemption criteria.
- Letters of Recommendation: Letters of recommendation should signed and printed on
letterhead. Submitted via ApplyWeb and Rackham.
master: 3 letters are required (at least 2 academic)
The Epidemiology Department offers a limited number of Epidemiology Departmental Scholarships to support MS in CESM student tuition. All MS in CESM students are considered for these scholarships, and no additional application is required. In addition, the School of Public Health offers financial aid and funding opportunities to support a limited number of students through a mixture of training grants, research grants, and graduate student research assistantships. Students pursuing a Master of Science degree may also be eligible to receive financial support from the Rackham Graduate School. Learn more about funding opportunities from Rackham.
Questions and More Information
For information on applying to this program, please contact:
Nancy Francis, Epidemiology Department Program Coordinator