Master of Science in Data Science
The Graduate School minimum course requirements for a master's degree are 30 graduate credits with a thesis or 36 graduate credits without a thesis. At least half of the credits required for a degree (excluding a combined total of 10 credits for thesis or research) will be at the 500 or 600 level. (In no case, however, will this rule require more than 18 credits of 500- or 600-level work.) To apply this rule to the course of study, subtract the number of thesis and research credits completed (up to 10 only) from the minimum number of credits required for the degree. Half of the remaining credits must be in courses at the 500 or 600 level. The student and the student's advisor design a program of studies for each student. Each year the student must complete (or update) an advisor-approved Program of Studies form which is to be kept on file in the Mathematics office. A revised form must be filed if there are any changes to the student's program during the year.
The program of study must include the following:
- Depth requirement in Data Science: M540 (Numerical Methods for Computational & Data Science), M561 (Advanced Data Science Analytics), M562 (Advanced Theoretical Data Analytics), M567 (Advanced Data Analytics Projects), and one 3 credit CSCI course from the list below.
- 2 credits of M610/STAT640, the co-convening Applied Mathematics and Statistics seminar
- 1 credit of M600 Colloquium
- Statistics: S421, S422, S542, S543, S545
- CSCI: CSCI 444 (Data Visualization), CSCI 547 (Machine Learning), CSCI 548 (Pattern Recognition), CSCI 564 (Applications of Mining Big Data), CSCI 580 (Applied Parallel Computing Techniques)
- A minimum of 6 credits of electives drawn from courses offered by Mathematical Sciences, CSCI, and the School of Business Administration. These courses must be approved by the advisor.
After the first year students will take a comprehensive exam on material from M540, M561, and M562. It is structured in two parts, written and computational. More detail follows.
A minimum of 2 research credits is required. A final presentation on a research project must be given in the Applied Math & Statistics seminar.Student Progress and Financial Support
Financial support is not available in the form of teaching assistantships (TA). Support may be available in the form of research assistantships (RA), pre-doctoral associates (PDA), or graduate student instructorships (GSI). However, the availability of support is limited and there should be no expectation on the part of the applicant regarding support.