University of Tennessee at Chattanooga

What you'll study

Core learning areas and topics in the program include:

• Statistical modeling and predictive analytics
• Machine learning: building and evaluating predictive models
• Data visualization and business intelligence to create actionable insights
• Working with databases and data warehouses that power modern analytics
• Big data analytics and decision science
• AI prompt engineering and applying generative AI to analytics
• Using code to collect, clean and analyze data

Entry requirements

The program states there are specific admissions requirements applicants should review before applying; multiple admission terms are offered. Prospective students are directed to the MSDA admissions information to learn required materials and criteria.

Career prospects

Graduates are prepared for analytics roles across industries such as healthcare, logistics, finance and technology. The program cites a Bureau of Labor Statistics projection for data scientist openings (23,400) to indicate labor demand. The curriculum targets jobs that require statistical modeling, machine learning, data visualization and business intelligence skills.

Scholarships & funding angle

The college notes affordability support is available: financial aid options and graduate assistantships are described on program pages to help students finance the degree. Multiple start terms provide scheduling flexibility for working applicants.