Foundations of Data Science
NC State’s Master’s degree in Foundations of Data Science (MSFDS) equips its graduates with depth and breadth in core fields lying at the heart of data science, machine learning and artificial intelligence. Our balanced coursework, taught by faculty in NC State’s Departments of Computer Science, Mathematics and Statistics is complemented by project-based learning and integrated professional development activities. MSFDS is a terminal professional degree program and no thesis or comprehensive examination is required. Domestic students, including foreign nationals with active visa status, can enroll on a full-time or part-time basis, and have available online options. International students must enroll on a full-time basis. The program can be completed full-time in three semesters. Current NC State undergraduate students interested in pursuing an Accelerated Bachelor’s/Master’s (ABM) with the MSFDS program should contact fds-program@ncsu.edu for more information.
More Information
Applicant Information
- Delivery Method: On-Campus, Online, Hybrid
- Entrance Exam: None
- Interview Required: None
Application Deadlines
Please see the program website for information on fall and spring application deadlines.
Faculty
Professors
- Bojko Bakalov
- Min Chi
- Rada Chirkova
- Patrick Combettes
- Pierre Gremaud
- Mansoor Haider
- Steffen Heber
- Ilse Ipsen
- Souman Lahiri
- Edgar Lobaton
- Wenbin Lu
- Arnab Maity
- Kemafor Ogan
- Brian Reich
- Nagiza Samatova
- Munindar Singh
- Ralph Smith
- Ana-Maria Staicu
- Ranga Raju Vatsavai
Associate Professors
- Alen Alexanderian
- Collin Lynch
- Donald Martin
- Noboru Matsuda
- David Papp
- Thomas Price
- Sharath Raghvendra
- David Roberts
- Arvind Saibaba
- Erin Schliep
- Sharma Thankachan
Assistant Professors
- Chao Chen
- Jonathan Williams
Teaching Professors
- Herle McGowan
- Justin Post
Associate Teaching Professors
- Bevin Maultsby