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Engineering

PhD Statistics and Data Science at University of Pennsylvania

University of Pennsylvania, United States

Programme overview

Wharton’s PhD program in Statistics and Data Science provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across the rest of the University such as biostatistics within the Medical School and computer science within the Engineering School.

Faculty: Wharton School  |  Duration: 16 course units  |  Study mode: full-time  |  Location: Philadelphia, PA, United States

What you will study

Requires 16 course units in total. Listed required courses include STAT 9270 Bayesian Statistical Theory and Methods; STAT 9300 Probability Theory; STAT 9310 Stochastic Processes; STAT 9610 Statistical Methodology; STAT 9700 Mathematical Statistics; STAT 9710 Theory of Statistics.

Career pathways

Graduates of the department typically take positions in academia, government, financial services, and bio-pharmaceutical industries.

Official programme page

Application information

USD 46,540 a year (2026-27). Full tuition rate for PhD programs for 2026-2027 (Annenberg, Arts & Sciences, Design, Education, Social Policy & Practice, Engineering, Nursing, Wharton and Biomedical Sciences share this rate). Most PhD programs fully fund students for at least 4 years, Source

Each graduate and professional programme has its own admissions process and entry terms; applicants apply directly to the programme of interest.

Graduate and professional programmes are housed in 12 schools; each programme has a separate admissions process and applicants apply directly to the programme of interest.

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