On-Demand

Missed a webinar? Catch any of our past presentations below on-demand.

  • MS in Finance Current Student Panel Discussion

    Date: February 29, 2024

    Meg Werth, graduate admissions advisor for the MS in Finance program, asks some of our current 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 Finance students

  • Engineering/MBA Dual Degree Program Overview

    Date: February 15, 2024

    Join Rebecca Mueller, assistant director of recruitment (MBA), Michele Brown, senior academic advisor (Engineering), and Allison Suflita, assistant director for academic advising (Engineering), as they discuss the benefits of earning a dual degree, review specifics about the admissions process and answer your questions.

    Audience: Prospective Engineering/MBA students

  • MS in Business Analytics - Current Student Panel Discussion

    Date: February 9, 2024

    Rebecca Mueller, assistant director of recruitment for the MS in Business Analytics program, asks some of our current 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 Business Analytics students

  • 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