Overview

Key facts:

This Statistics at the University of Pennsylvania trains students for academic research careers. The foundation is a sequence of courses in probability, mathematical statistics, linear models and statistical computing. The program also encourages study in a cognate area of application.
Major areas of departmental research include: analysis of observational studies; Bayesian inference, bioinformatics; computational biology; decision theory; game theory; genomics; high dimensional inference; information theory; machine learning; model selection; nonparametric function estimation; and time series analysis.
Students typically have a strong undergraduate background in mathematics. Knowledge of linear algebra and advanced calculus is required, and experience with real analysis is helpful. Although some exposure to undergraduate probability and statistics is expected, skills in mathematics and computer science are more important.

Programme Structure

Courses include:

Bayesian Statistics

Probability

Stochastic Processes

Statistical Methodology

Mathematical Statistics

Advanced Topics in Mathematical Statistics

Key information

Duration

Full-time
- 60 months

Start dates & application deadlines

Starting 2027-08-31 00:00:00
- Apply before 2026-12-15 00:00:00

Language

English

TOEFL^® IBT

100

Schedule TOEFL®

IELTS

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Delivered

On Campus

Campus Location

Philadelphia, United States

Disciplines

Statistics View 86 other PhDs in Statistics in United States

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Academic requirements

GRE^®

Required

GMAT

Required

English requirements

TOEFL^® IBT

100

Schedule TOEFL®

IELTS

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Letters of Recommendation

Transcripts & Academic History

Essays

Standardized Test Scores

Application Fee

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

44792 USD / year

≈ 44792 USD / year
Out-of-State

44792 USD / year

≈ 44792 USD / year
Domestic

Applies to you

In-State

44792 USD / year

≈ 44792 USD / year

Additional Details

Most of our PhD programs are fully funded, meaning the program will pay for your tuition and fees, as well as provide you with a minimum stipend of $39,425.

Living costs

Philadelphia

United States

1313 - 2284 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Students admitted to the PhD program typically receive a fellowship providing tuition and a stipend for four years. The students participate in the teaching and research activities of the Statistics Department.
All admitted Wharton doctoral students receive a fellowship that covers the cost of tuition and health insurance, and provides a stipend. It is expected that a similar level of financial aid may be awarded for up to 5 years. All financial aid awards are contingent upon a student's satisfactory academic progress.

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Scholarships Information

Below you will find PhD's scholarship opportunities for Statistics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

About

Overview

Key facts:

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Additional Details

Living costs

Philadelphia

Funding

Scholarships Information

Available Scholarships

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