About Us
About Us
The School of Data Science at UNC Charlotte is the first of its kind in the Carolinas. Currently, over 800 students are enrolled in our undergraduate and graduate programs in Data Science, Health Informatics and Analytics, and Data Science and Business Analytics. In Fall 2025, the School will welcome its first cohort of PhD candidates.
Graduate Programs in Data Science and Business Analytics (DSBA)
The DSBA program at UNC Charlotte offers an exceptional educational experience for aspiring data science and business analytics leaders. With a comprehensive course format and a distinguished faculty composed of industry experts, the School of Data Science DSBA program provides a truly unique graduate education in one of the top cities to launch a career. Currently, almost 300 full and part-time students are enrolled in the DSBA program options.
The SDS DSBA program is designed to meet the individual needs of our students. Our master’s program offers the flexibility to complete the Master’s degree in as little as 15 months as a full-time student or 24 months if enrolled part-time.
Evening courses are conveniently held at UNC Charlotte’s Dubois Center, located in the heart of Center City Charlotte and within walking distance of the Lynx Light Rail. Classes are held year-round, during two 15-week semesters (fall and spring) and summer sessions.
Graduate Certificate in Data Science and Business Analytics
Core Requirements: 15 credit hours/5 classes comprised of the core courses that make up the foundation of the Master’s degree.
Electives: 3 Credit Hours/1 class that aligns with the DSBA M.S. Curriculum.
Students can earn the Graduate Certificate as a stand-alone credential, or choose to continue on to the master’s degree. All 15 credits can be applied to the M.S. degree.
Master’s Degree in Data Science and Business Analytics
Core Requirements: 18 credit hours/6 classes that focus on the foundational skills in data munging, statistical validation, and coding
Electives: 12 credit hours/4 classes that allow students to focus on advanced analytics, AI and Deep Learning techniques, Modeling, and Natural Language Processing
Practicum/Internship: A 3-credit-hour applied learning experience.