Ph.D. in Statistics and Data Science
The Ph.D. in Statistics and Data Science explores advanced methods and concepts in modern statistics and the emerging field of data science.
Program at a glance
Why choose this Ph.D. in Statistics and Data Science?
The University's Statistics and Data Science Ph.D. program emphasizes interdisciplinary collaborative research, a key component of statistics and data science. These research and computational skills position students to be competitive in pursuing careers at academic institutions, pharmaceutical companies, research institutions, corporations, government agencies and as private consultants. Students in this program will:
- Develop the advanced computational skills necessary to solve applied problems involving data.
- Attain a deep understanding of the theory of statistics and data science sufficient to critically evaluate research done by others.
- Demonstrate the ability to do independent research and to communicate the results of this research, both orally and in writing.
- Acquire breadth of knowledge and the skills necessary to successfully collaborate or consult in a professional setting.
To learn about specific research projects happening in the University's Department of Mathematics and Statistics, visit the mathematics research page. To explore the faculty, visit the mathematics people page.
How do I apply?
Applicants must meet the admission requirements of the Graduate School. Additionally, applicants must submit Graduate Record Examination (GRE) scores and arrange for three letters of recommendation from people familiar with the applicant's academic record and potential for advanced work in statistics and data science. The GRE requirement is temporarily waived for those students applying for admission for Spring 2021 or Fall 2021.
The completion of a master's degree in mathematics or statistics prior to enrollment in the doctoral program is strongly recommended. All international students must comply with the appropriate Graduate School requirements. In particular, applicants whose native language is not English must include a TOEFL or IELTS score. The fall admission deadline is March 1, and the spring admission deadline is Nov. 1.
Is funding available?
All students accepted to the Statistics and Data Science Ph.D. program receive an annual stipend of $17,000, a tuition waiver and a subsidized medical plan. Students may also pursue departmental and University-wide scholarships. Visit the Office of Financial Aid & Scholarships for more details.
If you are ready to get started at the University, you can apply now. If you have questions about the Ph.D. in Statistics and Data Science, please contact: