Online Master of Science in Data Intelligence Virtual Information Session
Submit the Form to Receive Information
Questions often answered during info sessions:
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I don’t have programming experience. Would I still qualify for the program?
- I’m an international student. Is this a STEM-designated program, and would I qualify for OPT?
- What career opportunities could I pursue after graduation?
- Are internships or graduate assistantships available?
- I have a background in business and data analytics. Would I qualify for the program?
- Can I complete the program entirely online?
- Is there an option to take some courses on campus?
- I work full-time. Is the program flexible enough for working professionals?
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About USF's Master of Science in Data Intelligence
We live in a world of data. While many people associate data careers with big tech firms such as Microsoft and Google, the reality is that data and the data scientists who manage it all are everywhere, in large and small firms as well as government agencies. They work in diverse sectors ranging from fintech to healthcare, and e-commerce to brick-and-mortar retail firms. These key employees manage and analyze information that keeps today's businesses running.
The field is experiencing significant growth, with a rising demand for professionals specializing in data analysis, big data engineering, and data architecture to effectively handle the substantial influx of data. Employment of data scientists is projected to grow 35% from 2022 to 2032, according to the U.S. Bureau of Labor Statistics. This is much faster than the average for all occupations. About 17,700 openings for data scientists are projected each year, on average, over the decade.
Program at a Glance
This program is ideal for industry professionals and students who want to further their careers. Students in the program will gain data intelligence skills applicable to a variety of industries and increase their potential for employment.
The MS in Data Intelligence was designed by the Industrial Engineering and Computer Science departments for individuals who hold a bachelor's degree in engineering, computer science, or other STEM disciplines and have adequate mathematics and programming experience.

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