The Bredesen Center for Interdisciplinary Research and Graduate Education offers a graduate program leading to the Doctor of Philosophy (PhD) degree in Data Science and Engineering (DSE). This interdisciplinary degree is a collaborative effort supported by selected faculty from various colleges at the University of Tennessee, Knoxville, the UT Health Sciences Center, the University of Tennessee, Chattanooga, and research staff of Oak Ridge National Laboratory. These research and educational leaders are appointed as faculty members of the Bredesen Center for Interdisciplinary Research and Graduate Education. Members of the Bredesen Center faculty determine the curriculum and serve as the primary resource for the teaching, research, and mentoring of the students admitted to the program. The Bredesen Center Graduate Admissions Committee makes decisions on admissions, transfer, evaluation, and continuation of graduate students in the program.

PhD in Data Science and Engineering at University of Tennessee Knoxville
Study Data Science and Engineering at University of Tennessee Knoxville, a PhD degree offered on the Knoxville campus in United States of America. This Full Time program is delivered on campus in English and takes approximately 4 years to complete. Students benefit from a structured learning experience designed to build both theoretical knowledge and practical experience. The next intake is scheduled for August 23, 2027.
About PhD in Data Science and Engineering
Disciplines
Bredesen Center
Requirements and Admission Criteria for PhD in Data Science and Engineering at University of Tennessee Knoxville
Entry Requirements
- Applicants must have obtained a bachelor’s degree from a college or university accredited by the appropriate regional accrediting agency, recognized by the Council on Higher Education Accreditation (CHEEA). A non-U.S. degree must be equivalent to a bachelor’s degree from the United States and must be granted by a recognized or accredited foreign institution.
- United States degree holders must have earned a minimum of 2.7 out of a possible 4.0 GPA or a minimum of 3.0 during the senior year of undergraduate study. If you have completed previous graduate coursework, you must have earned a minimum of 3.0 out of a possible 4.0 GPA.
- Applicants with non-U.S. degrees must have earned a minimum of 3.0 on a 4.0 scale or other equivalent to a ‘B’ average. If you have completed previous graduate coursework, you must have earned a minimum of 3.3 out of a possible 4.0 GPA or other equivalent to a ‘B+’ average.
- Applicants may be required to submit standardized test scores, depending upon their program requirements.
- Applicants may be required to submit English language certification test scores.
English Requirements
- IELTSMin 6.5
- TOEFLMin 80
Tuition and Fee Information for PhD in Data Science and Engineering at University of Tennessee Knoxville
Application Fee 60
How to Apply for PhD in Data Science and Engineering at University of Tennessee Knoxville
- Please confirm the correct name of your graduate degree or certificate program by viewing our list of programs. This will ensure that you apply for the right program when you submit your application.
- Create your account on Slate, our online application system, and begin completing the admission application.
- Scan and upload copies of transcripts for all undergraduate and graduate institutions you have attended.
- Upload degree certificates (if applicable).
- Upload departmental/program requirements as indicated in the online application system.
- Pay the $60 non-refundable application fee by credit/debit card.
PhD in Data Science and Engineering at University of Tennessee Knoxville
University of Tennessee Knoxville
United States of America, Knoxville