MSBA Learning Experience
The M.S. in Business Analytics Program is delivered in a hybrid format with one-third of the program delivered via in-person classes called residencies and two-thirds are delivered online. Weekly, evening online classes give students the opportunity to engage in dynamic discussions with faculty and teammates, while the once-a-month residencies provide important in-person touchpoints with the entire MSBA community.
The MSBA weekend residencies provide students with the opportunity to meet in-person for engaging class discussions, presentations, and time with module learning teams. During the program, eight weekend residencies are held at UVA Darden DC Metro, located in Arlington, Virginia and the remaining two residencies take place on UVA Grounds in Charlottesville, Virginia.
Online class sessions meet approximately two evenings per week, typically for 75 minutes on Tuesday and Thursday evenings starting at 7:00 p.m. ET. These live, faculty-led weekday evening classes will keep you engaged with thought-provoking discussions, team debriefs, and case analyses. The online meeting technology allows you to participate and interact with faculty and classmates with ease and in real time.
Recordings of online classes are also available for students unable to attend the live class sessions.
Students also have access to cases, videos, and self-guided instructional materials to view and complete at their own pace. In addition, each module has an action-oriented project that you will need to complete with your teammates between residency weekends.
Students will spend an average of 12-15 hours each week preparing for case discussions, participating in online classes, reviewing distance-learning material/videos, and meeting with classmates on module project assignments.
Throughout the program, you’ll not only be supported by program faculty and staff, but also your module teams. With five integrated modules over the course of the program, you’ll have the opportunity to work closely with different classmates on each module project and group work. These teams are carefully designed to be a diverse group with classmates across industries, sectors, backgrounds, age and experience.