Master of Science in Data Science and Business Analytics

UNC-CThe program in Data Science and Business Analytics (DSBA) is a joint venture between the Belk College of Business, College of Computing and Informatics, and the Graduate School at UNC Charlotte. The program offers both a Graduate Certificate and a Master of Science degree designed to prepare students for the complex and rapidly changing data science and business analytics environment. It is a unique blend of business acumen, data understanding, exposure to a diverse set of advanced analytics methods, and hands-on experience designed to help students apply learned knowledge on representative business problems. DSBA graduates are well equipped for employment in a wide variety of data intensive industries, such as financial services, energy, retail/supply chain, or healthcare, where the need for business analysts with quantitative, computational, and sophisticated analytical skills is growing at an explosive pace.

Thirty-three graduate credit hours are required for the DSBA PSM. Of the 33 graduate credit hours, 24 credit hours are required core courses inclusive of 3 hours for the internship, and 9 credit hours of electives. A minimum of 24 credit hours contributing to the M.S. in Data Science and Business Analytics must be from courses numbered 6000 or higher. A maximum of 6 hours of graduate credit may be transferred. Students may apply all of the credits earned in the Graduate Certificate in Data Science and Business Analytics toward the M.S. in Data Science and Business Analytics with the approval of the DSBA Program Director. All students take the following courses:

Core Requirements (24 hours)

DSBA 6100Big Data Analytics for Competitive Advantage (3)
DSBA 6400Internship (3)
DSBA 5122Visual Analytics (3)
DSBA 6156Machine Learning (3)
DSBA 6160Database Systems (3)
DSBA 6201Business Intelligence and Analytics (3)
DSBA 6211Advanced Business Analytics (3)
DSBA 6276Consumer Analytics (3)

Elective Courses (9 hours)

In addition, students choose 3 elective courses from a growing list of Data Science and Business Analytics courses or propose a three-course specialization for approval by the DSBA Program Director. In choosing their 3 electives courses, students must select at least one course from each of the following areas:

Data Science Electives

DSBA 5121Information Visualization (3)
DSBA 6155Knowledge-Based Systems (3)
DSBA 6190Cloud Computing for Data Analysis (3)
DSBA 5510Web Mining (3)
DSBA 6162Knowledge Discovery in Databases (3)
DSBA 6265Advanced Topics in Knowledge Discovery in Databases (3)
DSBA 6500Complex Adaptive Systems (3)
DSBA 6520Network Science (3)

Business Analytics Electives

DSBA 6112Graduate Econometrics (3)
DSBA 6122Decision Modeling and Analysis via Spreadsheets (3)
DSBA 6171Geospatial Analytics and Crime Analytics (3)
DSBA 6207Project Management (3)
DSBA 6208Supply Chain Management (3)
DSBA 6277Social Media Marketing and Analytics (3)
DSBA 6278Innovation Analytics (3)
DSBA 6283Mobile Marketing and Analytics (3)

Student-Structured Electives Option

Students may propose a three-course specialization (9 credit hours) in a significant area of interest for approval by the Director of the PSM DSBA Program. In addition to the courses listed in the Data Science and Business Analytics specializations listed above, this specialization may include graduate courses from MS in CS, MS in IT, MBA, MS in Applied Statistics, MS in Mathematical Finance, MS in Economics, and other programs or Departments within the University with approval of the related Department.

POC: Mirsad Hadzikadic, Professor of Software and Information Systems, Director Complex Systems Institute,