Gary W. Rollins College of Business
Master of Science in Data Analytics (MSDA)
You don't need a computer science background to master data. The MSDA program is designed to meet students with diverse undergraduate majors, building both the technical skills (statistical modeling, machine learning, data visualization) and the business acumen to apply them in real organizational contexts — in healthcare, logistics, finance, technology and beyond.
Why choose a MSDA at RCOB?
Gain the technical and business skills to turn complex data into organizational decisions.
Designed for technical and non-technical backgrounds, you’ll learn AI prompt engineering, statistical modeling, machine learning, data visualization and business intelligence. Set yourself apart from your peers with these high-demand skills.
Projected openings for
data scientists:
23,400
Source: Bureau of Labor Statistics
Gain skills that matter in the workplace with an MSDA
Big data analysis: Apply it to real-life business problems
SQL queries: Design and use analytical databases
Data visualization: Perform and explore effectively
Machine learning models: Develop models for real needs
Hadoop concepts: NoSQL, YARN, HDFS and more
Prompt engineering: Make AI work for you
Why the RCOB MSDA program works for you
Growth potential:
You work with data in your current role and want to formalize your skills, you're looking to pivot into a data-focused career, or you want a graduate credential that's highly transferable across industries
Convenience:
Multiple admission terms so you can start when it’s right for you
Affordability:
Financial aid is available to help you achieve your goals without breaking the bank
What you'll build with a Master of Data Analytics
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AI prompt engineering
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Statistical modeling
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Data visualization
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Machine learning
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Business intelligence
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Predictive analytics
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Decision science
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Gary W. Rollins College of Business
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