University of Virginia Fully Funded PhD in Data Science

PhD @University of Virginia posted 3 weeks ago

Job Description

University of Virginia (UVA) offers a fully funded Ph.D. program in Data Science through its School of Data Science. This program is designed to prepare students for careers in academia, industry, and government by providing comprehensive training in data science methodologies and their applications.​

Program Overview

  • Degree: Ph.D. in Data Science

  • Institution: University of Virginia

  • School: School of Data Science

The program emphasizes interdisciplinary research, allowing students to engage in areas such as machine learning, data ethics, data engineering, and computational methods. Students benefit from a collaborative environment and have opportunities to work closely with faculty on cutting-edge research projects.​

Funding Package

All admitted Ph.D. students receive comprehensive financial support, which includes:​

  • Tuition and Fees: Full coverage for the duration of the program.

  • Stipend: An annual stipend of approximately $36,500, distributed over 12 months.

  • Health Insurance: Comprehensive coverage funded by the university.

  • Assistantships: Funding is provided through teaching assistantships (TAs), research assistantships (RAs), or fellowships.

This funding is guaranteed for the duration of the program, contingent upon satisfactory academic progress. ​

Admission Requirements

  • Academic Background: A bachelor’s degree from an accredited institution.

  • Prerequisite Courses:

    • Multivariable Calculus

    • Linear or Matrix Algebra These courses must be completed at an accredited institution, for a grade, either in-person or online.

  • Application Materials:

    • Online application through the UVA Graduate School.

    • Statement of purpose outlining research interests and career goals.

    • Three letters of recommendation.

    • Official transcripts from all post-secondary institutions attended.

    • Resume or curriculum vitae (CV).

    • Short answer prompt discussing your background and perspective.

    • TOEFL or IELTS scores for non-native English speakers.

GRE scores are not required for admission.

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