Job Description
University of Chicago offers a fully funded Ph.D. program in Statistics through its Department of Statistics. This program provides comprehensive financial support to all admitted doctoral students, ensuring they can focus on their academic and research pursuits.
Program Overview
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Degree: Ph.D. in Statistics
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Institution: University of Chicago
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Department: Department of Statistics
The Ph.D. program offers rigorous training in statistical theory, methodology, and applications. Students engage in interdisciplinary research across various fields, including biology, physics, computer science, and economics. The curriculum includes core sequences in probability, mathematical statistics, applied statistics, and computational mathematics, with opportunities to specialize based on individual interests.
Funding Package
All admitted Ph.D. students receive comprehensive financial support, which includes:
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Tuition and Fees: Full coverage.
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Stipend: An annual stipend of at least $45,000 for the duration of the program.
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Health Insurance: Comprehensive coverage funded by the university.
Students are typically supported for at least four years, with most fifth-year students also receiving full support. Support is not tied to working with a particular faculty member, and students are expected to not need external employment.
Admission Requirements
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Academic Background: A strong foundation in advanced calculus, linear algebra, probability, and statistics. Additional coursework in real analysis and experience with computer programming are beneficial.
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Application Materials:
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Online application through the University of Chicago’s admissions portal.
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Statement of purpose outlining research interests and career goals.
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Three letters of recommendation.
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Official transcripts from all post-secondary institutions attended.
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Resume or curriculum vitae (CV).
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GRE scores (General Test and Mathematics Subject Test) are recommended but not required.
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TOEFL or IELTS scores for non-native English speakers.
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Applicants are encouraged to apply for external fellowships, such as the NSF Graduate Research Fellowship Program, to supplement their funding.