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Statistics, Ph.D.
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.
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.
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.
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:
Courses include:
Bayesian Statistics
Bayesian Statistics
Probability
Probability
Stochastic Processes
Stochastic Processes
Statistical Methodology
Statistical Methodology
Mathematical Statistics
Mathematical Statistics
Introduction to Linear Statistical Models
Introduction to Linear Statistical Models
Advanced Topics in Mathematical Statistics
Advanced Topics in Mathematical Statistics
English Language Requirements
TOEFL iBT??TOEFL?PBTIELTS
TOEFL iBT??TOEFL?PBTIELTS
Minimum required score:
Minimum required score:
0
0
120
120
100
100
The?TOEFL iBT???measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120.
The?TOEFL iBT???measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120.
General Requirements
Letters of recommendation
Letters of recommendation
Transcripts
Transcripts
Academic history
Academic history
Essay
Essay
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.
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.
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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