Job Description
The Ohio State University offers a fully funded Ph.D. program in Statistics through its Department of Statistics. Approximately 90% of admitted Ph.D. students receive funding, typically for up to five years, contingent upon satisfactory academic progress and fulfillment of assigned duties.
Program Overview
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Degree: Ph.D. in Statistics
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Institution: The Ohio State University
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Department: Department of Statistics
The Ph.D. program provides rigorous training in both theoretical and applied statistics. Students engage in coursework covering mathematical statistics, probability theory, and various applied statistical methods. The program emphasizes interdisciplinary research, with faculty expertise spanning areas such as Bayesian statistics, spatio-temporal statistics, statistical learning, and biostatistics.
Funding Package
Funding is typically provided through:
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Fellowships: Prestigious awards that cover tuition and provide a stipend, allowing students to focus on their studies without teaching or research obligations.
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Graduate Teaching Associateships (GTA): Positions involving teaching responsibilities, such as leading recitation sessions or grading, accompanied by a stipend and tuition waiver.
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Graduate Research Associateships (GRA): Research positions under faculty supervision, offering a stipend and tuition coverage.
Benefits for funded students include:
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Tuition and Fees: Full coverage of instructional and general fees, including non-resident fees if applicable.
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Stipend: For the 2020–2021 academic year, incoming Ph.D. students received a monthly stipend of $2,347, with potential increases up to $2,833 for advanced students.
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Health Insurance: An 85% subsidy on student health insurance premiums.
Note that students not offered funding at the time of admission may seek funding in subsequent years, though such opportunities are limited.
Admission Requirements
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Academic Background: A bachelor’s or master’s degree in statistics, mathematics, or a related field, with coursework in multivariable calculus and linear algebra.
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Application Materials:
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Online application through the university’s admissions portal.
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Official transcripts from all post-secondary institutions attended.
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Three letters of recommendation.
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Statement of purpose outlining research interests and career goals.
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Resume or curriculum vitae (CV).
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GRE General Test scores.
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TOEFL or IELTS scores for non-native English speakers (minimum TOEFL iBT score of 100).
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