MS Computational Epidemiology and Systems Modeling at University of Michigan-Ann Arbor

Programme overview

Two-year, 48-credit MS that trains epidemiologists to apply mathematical and statistical models to public health problems, including infectious and non-communicable disease. The degree is awarded by Rackham Graduate School through the Department of Epidemiology.

Faculty: School of Public Health | Department: Epidemiology | Duration: 2 years; 48 credit hours | Intake: Priority deadline December 1; final deadline for international applicants January 15 | Study mode: full-time | Location: Ann Arbor, MI, United States

What you will study

Four core areas: epidemiology, mathematical modeling, statistics and computing. Core courses (32-34 credits), electives in computational epidemiology, systems modeling, decision-making and applied statistics (9 credits), and capstone projects (4 credits) in the final two semesters. Students gain competence in languages such as R, Python or C++.

Career pathways

Research, academia, data management, industry and health informatics.

Official programme page

Application information

Entry requirements

No specific required courses; calculus, linear algebra, statistics and/or programming are ideal. Application requires a statement of purpose (1-3 pages), personal statement (500 words), quantitative experiences statement (500 words), programming and computing experiences statement, transcripts, three letters of recommendation, and TOEFL or IELTS for non-native English speakers unless exempt. Apply through Rackham; priority deadline December 1, final deadline for international applicants January 15.

Intake: Priority deadline December 1; final deadline for international applicants January 15

Duration: 2 years; 48 credit hours

Apply through the official page: https://rackham.umich.edu/admissions/applying/

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