Master’s of Science
Master’s of Science
The Data Science and Business Analytics master’s degree is an interdisciplinary program that combines business strategy with advanced data science and analytical skills. It prepares students to analyze complex data, apply advanced analytics methods, and solve real-world business problems. The program integrates knowledge from business, computer science, statistics, and operations research, equipping graduates with the expertise needed to thrive in data-driven industries such as finance, healthcare, retail, and supply chain. DSBA professionals are in high demand for their ability to use data to drive business decisions and innovations.
Curriculum Overview
The M.S. in Data Science and Business Analytics (DSBA) requires 33 credit hours/ 11 classes. Students may transfer up to 6 credit hours with approval, and credits from the Graduate Certificate in Data Science and Business Analytics may count toward the degree.
Core Courses (18 credits)
- DSBA 6160 Databases for Data Scientists
- DSBA 6201 Business Intelligence and Analytics
- DSBA 5122 Visual Analytics and Storytelling
- DSBA 6276 Strategic Business Analytics
- DSBA 6156 Applied Machine Learning
- DSBA 6211 Advanced Analytics
Elective Courses (12 credits)
At least one course from Data Science electives and one from Business Analytics electives.
Capstone Options
- Internship (3 credits) or
- Master Thesis (6 credits), requiring research over at least two semesters.
Application Overview
GRE/GMAT Waiver Eligibility
The DSBA master’s program will waive the GRE/GMAT requirement for applicants who have earned a degree from an accredited U.S. institution with a cumulative undergraduate or graduate GPA of 3.0 or higher. The GRE requirement may also be waived for applicants who hold a terminal degree (Ph.D., MD, or JD) or who have earned a degree from an accredited U.S. institution with a minimum GPA of 3.0.
Application Checklist
In addition to the general requirements for admission to UNC Charlotte’s Graduate School, the following are required for the Master’s Degree in Data Science & Business Analytics:
- A bachelor’s degree, or its equivalent, from a regionally accredited college or university
- A minimum GPA of 3.0 (on a 4.0 scale) for all coursework completed beyond high school
- An online application through the Graduate School’s application system
- Unofficial transcripts for all college coursework attempted
- Three letters of recommendation from faculty, supervisors, or professional mentorsOfficial GRE or GMAT scores (Eligibility for a waiver is outlined above)
- Official TOEFL, IELTS, or Duolingo scores for international applicants whose first language is not English
- Optional: Resume or CV
Program Prerequisites
- Current working knowledge of one higher-level Procedural language (Python, C, Java, etc.), and familiarity with computer applications.
- Minimal background in mathematics, including one semester of calculus and one semester of statistics.
Admissions Process
Please visit the Graduate School’s admission website and create an account. Then, follow the application instructions.
Where Data Tells the Story,
and You Write the Future.
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