University of Tennessee, Knoxville campus

Engineering

PhD Data Science and Engineering at University of Tennessee, Knoxville

University of Tennessee, Knoxville, United States

Programme overview

Interdisciplinary PhD supported by faculty from UT Knoxville colleges, the UT Health Science Center, UT Chattanooga and Oak Ridge National Laboratory; Bredesen Center faculty determine the curriculum and mentor students.

Faculty: Bredesen Center for Interdisciplinary Research and Graduate Education  |  Department: Bredesen Center  |  Duration: Minimum 72 graduate credit hours beyond the bachelor's degree  |  Study mode: full-time  |  Location: Knoxville, TN, United States

What you will study

Core curriculum of 21 credit hours (Introduction to Data Science and Computing I and II, seminar, data analysis, statistics, machine learning, applied mathematical problem-solving), 6 credit hours of knowledge breadth (policy, technology commercialization, writing and communications), 6 credit hours of domain science and at least 24 credit hours of doctoral research.

Official programme page

Application information

Entry requirements

Meets general UT Knoxville Graduate School admission criteria; BS in engineering or a scientific field (analytics, biology, chemistry, computational science, mathematics, physics, statistics) or equivalent; other degrees considered case by case by the Bredesen Center Graduate Admissions Committee; additional co- and prerequisite coursework may be required.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

International graduate applicants on F and J visas: Fall online submission April 15 and file completion May 15; Spring June 15 and October 1; Summer October 15 and February 15. Departmental deadlines may be earlier.

Apply through the official page: https://gradschool.utk.edu/

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