Foundations of Data Science
Program Overview
Foundations of Data Science Program
The Master's degree in Foundations of Data Science (MSFDS) at NC State University is designed to meet the demand for a new breed of data science professionals. This terminal professional degree program is based on coursework and integrated professional development activities, equipping graduates with both depth and breadth across three core disciplines at the heart of data science.
Program Overview
- No research, thesis, or comprehensive examination is required.
- MSFDS students are normally self-supported.
- Domestic students, including foreign nationals with active visa status, can enroll on a full-time or part-time basis, with available online options.
- International students must enroll on a full-time basis.
Delivery Method and Entrance Requirements
- Delivery Method: On-Campus, Online, Hybrid
- Entrance Exam: None
- Interview Required: None
Application Deadlines
Application deadlines for fall and spring can be found on the program website.
Degrees Offered
- Foundations of Data Science (MS)
- Foundations of Data Science (MS): Computer Science Concentration
- Foundations of Data Science (MS): Mathematics Concentration
- Foundations of Data Science (MS): Statistics Concentration
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
Foundations of Data Science Program Details
The program is designed to provide students with a comprehensive education in data science, covering the core disciplines of computer science, mathematics, and statistics. The curriculum is structured to provide a balance of theoretical foundations and practical applications, preparing graduates for careers in data science and related fields.
Program Structure
The MSFDS program is a terminal professional degree that does not require a research thesis or comprehensive examination. Students can pursue the degree on a full-time or part-time basis, with online options available for domestic students. International students must enroll full-time.
Career Opportunities
Graduates of the MSFDS program are prepared for a variety of careers in data science, including roles in industry, government, and academia. The program's focus on both theoretical foundations and practical applications provides students with a strong foundation for success in their chosen career path.
Conclusion
The Master's degree in Foundations of Data Science at NC State University offers a comprehensive education in data science, preparing graduates for careers in this rapidly growing field. With its balance of theoretical foundations and practical applications, the program provides students with the knowledge and skills needed to succeed in a variety of roles.