The Data Science and Engineering (DSE) program partners with the Oak Ridge National Laboratory, UT Health Science Center in Memphis, and UT Chattanooga to provide graduate researchers with some of the most powerful computing and data science platforms available anywhere in the world and the opportunity to collaborate on computational challenges that involve some of the largest and most unique data sources in science, engineering, and health care.
This new PhD program provides graduate students the opportunity to specialize in data science and apply these resources and skills to various domain science research programs.
The DSE program requirements include a minimum of 36 hours of coursework beyond the BS degree along with a minimum of 36 hours of dissertation research. Curriculum requirements are met through a data science core supplemented by a wide range of interdisciplinary courses selected by the student to meet the needs of their research specialization. Additionally, a minimum of six hours of knowledge breadth coursework in policy, entrepreneurship, outreach, economics, or other industry competencies is required.
The Bredesen Center offers the DSE fellowship with an annual stipend of up to $30,000, a tuition waiver, and health insurance for PhD candidates pursuing research in one of the following areas:
- Health and Biological Sciences
- Advanced Manufacturing
- Materials Science
- Environmental and Climate Science
- Transportation Science
- National Security
- Urban Systems Science