Online Success Coach
Master Data. Drive Intelligence. Lead the Future.
Big data is everywhere - do you have the skills to harness it? USF’s M.S. in Data Intelligence prepares you to analyze complex information, make data-driven decisions, and lead in the era of AI. Designed for problem-solvers, strategists, and tech innovators, this 30-credit-hour program equips you with high-demand skills that drive business, healthcare, finance, cybersecurity, and beyond.
Choose online or in-person learning and enjoy the same expert USF faculty, industry connections, and hands-on experience in either format. Graduate in as little as one year taking courses full time, and graduate in 2 to 3 years with a part-time course load.
Apply by June 1, 2026 to start classes in Fall 2026.
Why Choose USF?
Flexible Format, Faster Completion
Earn your 30-credit-hour degree in as little as three semesters full-time or six part-time. USF's computer engineering and industrial engineering faculty designed this program to fit your life and career goals.
Study In-Person or Online, Your Choice
Choose the format that works best for you, with the same high-quality faculty, connections, and hands-on learning opportunities.
Affordable Tuition with High ROI
At just $650 per credit hour, USF delivers a world-class education with lower debt and strong career outcomes in data science, AI, and analytics.
FOLLOW THIS LINK FOR OUR ONLINE BROCHURE
Fill out the form at the bottom of this page to get immediate access to the program details.
Specialized Program Concentrations
Customize your degree with one of three focus areas:
DECISION INTELLIGENCE: Learn to analyze complex data, optimize decision-making, and drive strategic business insights.
COMPUTATIONAL INTELLIGENCE: Dive into advanced AI, machine learning, and automation to solve cutting-edge technical challenges.
GENERAL DATA INTELLIGENCE TRACK: choose from program electives to build a skill set tailored to your career goals.
Susana Lai-Yuen, PhD
Associate Professor & MSDI Program Director
Computational geometry and modeling of complex deformable structures for nanoscale design
Medical technology design and development for medical diagnosis and surgical procedures
Pedagogical approaches for enhancing engineering education
