Integrated Master Program (IMP) - Master of Science in Business Analytics without Statistics Background (STEM) INTO Group - Suffolk University, USA

The Suffolk MSBA program gives you insight into how data preparation is vital to implementing business analytics—the foundation for making analytics-driven decisions to solve business problems and create opportunities for a wide range of industries. Our curriculum is industry-designed, as we’ve done the research to ensure our courses are ahead of the curve.

Statistical Analytical Software (SAS), Excel, and Systems Applications Products (SAP) coursework helps prepare you for additional professional certifications. And the Suffolk MSBA program is STEM-designated, qualifying international students for an additional two years of OPT work in the United States.

MSBA Concentrations
Develop your analytical skills further and gain the professional expertise that top firms demand by choosing one of the concentrations within the Suffolk MSBA program. Each of these help you gain additional skills and knowledge to distinguish you from the pack with a future-focused skill set.

Accounting
Learn to manage, interpret, and analyze data trends that have unique applications to the accounting field, and to communicate findings in context.

Data Science
Learn to build statistical and optimization models that distill essential insights from raw data sets, master the fundamentals of machine learning using Python, and harness the power of data to project forecasts as well as drive data-backed business decisions.

Finance
Develop an understanding of topics such as financial analysis, forecasting, and capital budgeting, and how to apply these trends to analysis of data in finance.

FinTech
Examine how machine learning applies to the financial industry and how emerging technology is disrupting the financial landscape.

Healthcare Management
Learn to analyze and interpret data in the healthcare field, and discuss how decisions about healthcare have global impacts.

Marketing
Gain an understanding of the social science research process with a focus on survey methods in marketing research and how data can influence marketing strategies.