University of Minnesota Twin Cities campus

STEM

PhD Epidemiology at University of Minnesota Twin Cities

University of Minnesota Twin Cities, United States

Programme overview

The Epidemiology PhD program trains students to use rigorous quantitative methods to build evidence for public health and clinical care. Training covers descriptive methods to examine public health trends; theories of causal inference; study design and implementation; statistical methods for estimating exposure-outcome associations; and interpretation of research results. The School of Public Health is accredited by the Council on Education for Public Health (CEPH).

Faculty: School of Public Health  |  Duration: 4 years / 28 major credits + 24 thesis credits  |  Study mode: full-time  |  Location: Minneapolis, MN, United States

What you will study

Required components: Program Core and Teaching, Content and Skills Areas, Advanced Quantitative Methods (6 credits), Electives, Thesis Credits. Courses offered on both the A-F and S/N grading basis must be taken A-F, with a minimum grade of B- earned for each course. All Epidemiology PhD students must attend 12 seminars, must TA a course (with the exception of the MD/PhD joint degree students) and must give a 50 minute lecture in an epidemiology course.

Official programme page

Application information

Entry requirements

Applicants must be in process, or have completed, a master's degree in a related field. Minimum undergraduate GPA 3.0. TOEFL exams taken before January 21, 2026, require a minimum total score of 100, and exams taken on or after January 21, 2026, require a minimum total score of 5. Applicants should possess strong quantitative aptitude and hold an advanced degree in a related field and have prior coursework in biological or behavioral sciences and strong grades in college-level quantitative courses such as statistics, algebra, or calculus. Minimum English proficiency for international applicants: TOEFL iBT 5, IELTS 7.

Duration: 4 years / 28 major credits + 24 thesis credits

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