Master Courses Series
Curious how data, analytics, and risk management drive modern business decisions?
UConn School of Business' Master Courses Series offers a preview of the learning experience in the MS in Business Analytics & Project Management and MS in Financial & Enterprise Risk Management programs.
Hear directly from faculty as they share insights on analytics, project leadership and enterprise risk strategies used by today's organizations.
Who Should Attend: This series is designed for prospective graduate students, but anyone is welcome to join.
Free Online Courses
MSBAPM Master Course: Neural Nets from Scratch
Monday, March 30, 2026 8:00 - 8:30 a.m. (ET)
David Wanik, Academic Director, Business Data Analytics; Associate Professor In-Residence, Operations and Information Management Department
This course demystifies neural networks by building them from scratch and linking the underlying techniques to practical business use cases. It also examines how to build and evaluate AI systems that are not only accurate but also interpretable and accountable. Students will learn not only how to use AI tools, but how they work, and the practical tools to explain model predictions, manage risk, and support data-driven decision-making.
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MSFERM Master Course: Stress Testing and Its Confidence Intervals
Tuesday, March 31, 2026 9:00 - 9:30 a.m. (ET)
Yaacov Kopeliovich, Associate Professor in-Residence, Finance
The master course introduces statistical tools of risk management including forward stress testing, and covers statistical foundations of confidence intervals, enabling students to measure estimation uncertainty and interpret stress test results with rigor.
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MSFERM Master Course: Foreign Exchange Accumulators with Focus on Valuation & Risk Measurements
Wednesday, April 1, 2026 9:00 - 9:30 a.m. (ET)
Michel Rakotomavo, Academic Director, MS in Financial and Enterprise Risk Management Program; Professor in-Residence, Finance Department
This master course focuses on valuation and risk measurements.
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MSBAPM Master Course: Garbage In, Genius Out? Why Database Design Determines AI Success
Thursday, April 2, 2026 9:00 - 9:30 a.m. (ET)
Anna Radziwillowicz, Instructor in-Residence, Operations and Information Management
This master course illustrates how poor schema design, missing relationships, and inconsistent data affect AI outputs, reinforcing why strong data modeling and normalization are critical before applying AI.
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FAQs
Who Should Attend?
This series is designed for prospective graduate students, but anyone is welcome to join.
How Much Does It Cost?
The Master Courses Series is FREE - join us!
Who Should I Contact With Questions?
If you have any questions, or if you require an accommodation to attend one of these events, contact Jiajia Chen, jia_jia.chen@uconn.edu