MSc in Analytics in Chicago United States | University of Chicago

The Master of Science in Analytics program offers students the option to study either part-time or full-time. Those choosing part-time can take one or two classes per quarter, with evening and Saturday class options available. Full-time students typically enroll in three courses each quarter, some of which may have daytime sessions. All classes are held at Chicago's downtown Gleacher Center. Full-time students generally finish the program in 18 months. Grounded in applied statistics, this degree equips students with sophisticated analytical skills to extract meaningful insights from large datasets. The program curriculum comprehensively covers cutting-edge data collection techniques, methodologies, and analytical approaches.
ELECTIVE COURSES
Delve into specialized analytics strategies and practical applications. As part of the 12-course degree requirements, you'll select three electives. Our elective offerings regularly expand to keep pace with developments in data science. Previous elective options have included: Deep Learning for Computer Vision, AI and Advanced Machine Learning, Bayesian Analysis, Algorithmic Marketing with Data Science, Visualization Methods for Data, Practical Digital Marketing Analytics, Analytics for Finance, Healthcare Data Analysis, Operationalizing Machine Learning, NLP and Cognitive Computing, Intelligent Real-Time Systems, Learning Through Reinforcement, and Supply Chain Analytics.