The program is intentionally designed to be cross-functional so that graduates are equipped to understand and help solve a wide array of problems in business by using, managing, analyzing and interpreting data for business intelligence.
Given the interdisciplinary nature of the curriculum and the large and diverse number of electives, you can either take a generalist approach or you can delve more deeply into a specific discipline such as accounting, finance, human resources, economics, marketing, operations and supply chain or international business.
The MSBA program takes two semesters to complete on average and is comprised of five core classes, four electives and one practicum project course or related internship. Some students may choose to extend their coursework into an additional summer semester to accommodate an internship or project.
- MGSC 772: Project Management
- MGSC 790: Data Resource Management
- MGSC 711: Quantitative Methods
- Electives (2)
- ECON 736: Applied Econometrics
- MGSC 777: Advanced Quantitative Methods in Business
- Electives (2)
- Practicum project course or related internship
Experiential learning activities are embedded in all MSBA classes. Analytics skills are applied in capstone projects, data-centric internships and on team projects or data challenges that leverage the use of consulting, teamwork and analytical skills applied to real business challenges.
As an MSBA student, you’ll also complete an analytics practicum or an approved data-intensive internship. During the one-semester practicum, you’ll join a student team to analyze a data-focused problem for an organization. Your team will gather and analyze data to develop strategies that yield high-return investment solutions to the sponsor’s problem. At the end of the semester, you’ll work together to develop an implementation plan and make a formal presentation to the leadership of the sponsoring organization.