On-Demand

Did you miss a webinar? Catch any of our past presentations below on demand.

  • MS in MIS Current Student Panel Discussion

    Date: February 8, 2024

    Meg Werth, graduate admissions advisor for the MS in Management Information Systems program, asks some of our current MIS students to share their favorite classes, faculty support, what real-world projects they are working on, their favorite things to do in Buffalo and what advice they would give to incoming students. 

    Audience: Prospective MS in Management Information Systems students

  • MS Business Analytics Quick Byte: The Dangers of AI - How ready are you?

    Date: February 7, 2024

    Have you ever wondered what it would be like to sound like someone else? Or what if you answered your phone and the person on the other end sounded a little too familiar? Unfortunately, that's exactly the situation generative AI tools have created for us. Dominic Sellitto, clinical assistant professor of management science and systems, shares the dangers of of this emerging technology and how to protect yourself.

    Audience: Prospective and current students, alumni, online MS in Business Analytics, MS in Business Analytics

  • Demystifying the MS in Business Analytics Program: Software Prep Tips, Certifications and Career Readiness

    Date: January 12, 2024

    Dominic Sellitto, faculty director of the MS in Business Analytics program, shares how the program differs from the MS in Management Information Systems program, preparation strategies for students without software experience, what certifications students can earn during the program, real-world project examples and the career preparation opportunities. 

    Audience: Prospective MS in Business Analytics students

  • Decoding the MS in MIS Program: Software Skills, Generative AI and Launching Your Career

    Date: January 11, 2024

    Kevin Cleary, faculty director of the MS in Management Information Systems program, shares how the program differs from the MS in Business Analytics program, preparation strategies for students without MIS software experience, insights into Generative AI, real-world project examples and career preparation opportunities available to students.

    Audience: Prospective MS in Management Information Systems students

  • MS Business Analytics Quick Byte: Dangers of Generative AI

    Date: January 4, 2024

    Dominic Sellitto, clinical assistant professor of management science and systems, shares the dangers of generative AI and how consumers and business can protect themselves.

    Audience: Prospective and current students, alumni, online MS in Business Analytics, MS in Business Analytics

  • Meet the MS in Management Faculty Director, Marla Kameny

    Date: January 4, 2024

    Get to know our faculty directors in a more personal light. This video features our MS in Management faculty director, Marla Kameny.

    Audience: Prospective MS in Management students