Master of Science in Analytics

Students have the flexibility to pursue the Master of Science in Analytics degree on a part- or full-time schedule. Part-time students enroll in one or two courses each quarter and take their courses in the evenings or on Saturdays. Full-time students take three courses per quarter. Some of their courses may be offered during the day. All courses are taught at the Gleacher Center in downtown Chicago. Typically, full-time students can complete the Master of Science in Analytics program in one and a half years. Building from a core in applied statistics, the Master of Science in Analytics provides students with advanced analytical training, developing the ability to draw insights from big data. The curriculum offers a thorough exploration of state-of-the-art data-gathering tools, methods, and analytics.
ELECTIVE COURSES
Explore advanced analytics strategies and applications. You will complete three required electives toward your 12-course degree program. We continually add electives to evolve with the data science landscape. Past electives include: Advanced Computer Vision with Deep Learning, Advanced Machine Learning and Artificial Intelligence, Bayesian Methods, Data Science for Algorithmic Marketing, Data Visualization Techniques, Digital Marketing Analytics in Theory and Practice, Financial Analytics, Health Analytics, Machine Learning Operations, Natural Language Processing and Cognitive Computing, Real Time Intelligent Systems, Reinforcement Learning, Supply Chain Optimization.

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