Demand is high for professionals skilled in both analytics and computing. Enhance your skill set by learning to manage large-scale data sets in this highly applied data science master's program.
The MS in data science encourages students to work with faculty experts in the field of data science, analytics, and infrastructure who provide hands-on experience solving real problems. The curriculum includes opportunities for students to choose elective courses to pursue a variety of career paths within the broad field of data science and its various application areas. The program prepares students—regardless of their scientific, engineering, or business background—to pursue a career in data science.
Program job titles reported
Data Scientist; Data Engineer; Data Architect; Machine Learning Engineer; Data Analyst; Database Administrator; Statistician; Business Analyst
Program significant points
Some RIT programs will not have sufficient data as the program is new and growing. Data will be entered once the first graduating class has completed its program and the class provides the Office of Career Services and Cooperative Education their career outcomes.
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Cooperative education, or co-op for short, is full-time, paid work experience in your field of study. And it sets RIT graduates apart from their competitors. It’s exposure–early and often–to a variety of professional work environments, career paths, and industries. RIT co-op is designed for your success.
Cooperative education is optional but strongly encouraged for graduate students in the data science MS degree.