The Master of Science in Analytics and Applied AI program equips students with skills to harness data and cutting-edge technologies to drive better business decisions. This program combines rigorous coursework in data management, analytics, big data, and data visualization with hands-on experience working with large, real-world data sets. Utilizing statistics, analytical models, and artificial intelligence technologies, students learn to develop actionable insights, advance impactful decisions, and communicate them effectively to stakeholders.
The program’s curriculum is designed to address the growing demand for data-driven decision-making across industries. Core concepts and techniques find broad application in fields such as operations, marketing, finance, accounting, cybersecurity, and healthcare administration. Students also gain proficiency in using industry-standard tools and platforms for data analysis and AI development.
Students concurrently earn the Business Analytics and Big Data Post-Baccalaureate Certificate and Data Analytics Post-Baccalaureate Certificate while pursuing the Master of Science in Analytics and Applied AI.
Master of Science in Analytics and Applied AI Learning Outcomes
Program Policies
The MS in Analytics and Applied AI builds upon fundamental knowledge of business concepts. Applicants with an undergraduate degree outside of Business are required to demonstrate academic proficiency in business concepts prior to beginning MS Analytics and Applied AI courses.
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