Master of Science in Business Analytics (MSBA)

Build a career in the growing and important field of business analytics. As firms have access to increasingly large amounts of data about their customers, costs, and suppliers, highly trained analysts who examine this information have become essential for improving operations, increasing the yield on marketing programs, and optimizing pricing and financing. UCR’s graduate degree in business analytics will extend your background in business or a quantitative discipline to bring your business acumen and statistical computing skills to a level that allows you to make the most of this vast business data.

The UCR graduate program in Business Analytics is a rigorous STEM program jointly offered by the School of Business and the Department of Statistics in the College of Agricultural and Natural Sciences. The curriculum focuses on:

• Statistical computing to describe marketing, logistics, and financing patterns
• Testing models for improved operating efficiency, lowering costs, and targeting the needs of customers
• Forecasting revenues and consumer demand
• Identifying trends in financial markets and using financial data to hedge operations

All students in the program take highly quantitative courses in data analysis and statistical computing, as well as a two-quarter, experiential learning capstone class that applies your understanding of business analytics to a project.

Gain your degree in nine months of intensive study, extend to 15 months, or follow a flexible schedule that combines your studies with industry work experience.

The MSBA is a STEM-designated degree program (science, technology, engineering and math). International students in a STEM-designated program are able to apply for 36 months of Optional Practical Training (OPT) to work in the United States in their field of study after graduation.

Prepare for Success in Your Program

The MSBA curriculum consists of challenging coursework that necessitates foundational knowledge of statistics and statistical programming. It is strongly recommended that prospective students explore and familiarize themselves with the following resources prior to beginning the program in order to ensure successful completion. Any evidence of this training submitted to a candidate’s application will be favorably considered. Click tiles to view links: