Master of Science in Business Analytics

Gain the technical competencies to analyze and manage data through a business lens with Suffolk’s Master of Science in Business Analytics (MSBA) program.


Full-Time


Part-Time


31 Credits

Understanding data is essential to making the right decisions in business. That’s why our MS in Business Analytics program gives you the training, tools, and experience you need to hit the ground running and succeed in this booming sector. Whether you’re an engineer, computer programmer, or other high-tech professional – or you’re looking to round out your business or financial experience with increased technical analytics skills – our balanced approach towards business analytics and data management will help you advance your career.

Through our comprehensive MSBA program, you’ll study analytics through a business context and learn how to manage and create projections with stored data sets. You’ll graduate ready to make high-level, data-driven determinations across a wide range of industries, as well as communicate analytic information to non-technical business leaders and stakeholders.

While earning your MS in Business Analytics at Suffolk, you'll:

  • Apply analytical functions to the fields of marketing, operations, accounting, finance, and healthcare
  • Study under industry experts from Boston and beyond who are a mix of practitioners and accomplished scholars
  • Learn how to store and manage data, and why data preparation is crucial for business analytics
  • Become a leader, gaining the communication, presentation, and interpersonal skills needed to bridge the gap between data scientists and less-technical business professionals
  • Join an extensive professional network of Sawyer Business School alumni and local industry leaders

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MSBA Program Overview

The Curriculum

Our Business Analytics curriculum is industry-designed, ensuring our program is ahead of the curve. Through experiential courses, you’ll learn how to gather, manage, and prepare data —the foundation for making analytics-driven decisions to solve business problems and create opportunities for a wide range of industries. You’ll also take courses in Python, Excel, and Systems Applications Products (SAP), helping prepare you for additional professional certifications.

In as few as 9 months (full-time) or 21 months (part-time), our MSBA graduates go on to pursue rewarding and successful careers in the information technology, financial services, healthcare, and marketing fields. And the Suffolk MS in Business Analytics program is STEM-designated, qualifying international students for an additional two years of OPT work in the United States.

Course Highlights

  • Data Analytics with Python
  • Data Management and Modeling
  • Data Warehouse and Business Intelligence
  • Predictive Analytics and Machine Learning

View the full MS Business Analytics curriculum

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.

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

A man in glasses examining data on a computer screen

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.

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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.

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

Download video transcript [PDF]

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

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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.

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Learn the theories and practices that connect performance and mission in the public and nonprofit administration sector, and how data is collected and analyzed for performance evaluation and system improvement.

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Advising & Other Resources

Our Graduate Student Services team is here to support you every step of the way. From application advising to financial aid counseling and international student resources, we provide a wide range of services to help you get the most out of your business education. You’ll also have the opportunity to participate in professional development workshops throughout the year, as well as lifelong access to all of the tools and resources offered by our Center for Career Equity, Development & Success.


Explore Our Data-Driven Graduate Degrees

Suffolk offers two data-driven advanced degrees—the Sawyer Business School’s MS in Business Analytics and the College of Arts & Sciences' MS in Data Science—to align with your interests and professional goals.

Students sitting at a desk in business attire

MS in Business Analytics

This business-oriented program is ideal for those seeking to translate data into actionable business insights.

  • Learn to apply analytics and integrate ethical principles to solve business problems
  • Concentrate in your business area of choice: accounting analytics, FinTech, healthcare management, and more
  • Take part in a capstone where you’ll complete a consulting project with a client and offer a presentation of your analysis and recommendations

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MS in Data Science

This program is geared toward those who are eager to explore data science with the focus on its theoretical, ethical, and applied aspects.

  • Enhance your programming expertise, deepen your understanding of algorithms, and elevate your statistical capabilities
  • Build your skills in a collaborative, cohort-style learning environment
  • Graduate equipped to optimize data across diverse fields, from psychology and communications to bioinformatics and econometrics
Learn more about the MS in Data Science

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Learn More About Earning a Suffolk Business Degree

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Applying to Suffolk's MSBA Program

Application Deadlines

  • Fall Semester: June 15 (International Applicants), August 15 (Domestic Applicants), then rolling; Submit your completed application by July 1 for Sawyer Business School Fellowship Employment consideration
  • Spring Semester: December 1 (International Applicants), January 4 (Domestic Applicants), then rolling; Submit your completed application by November 1 for Sawyer Business School Fellowship Employment consideration

Learn about the advantages of priority applications.

Application Materials

  • Completed application
  • $50 Application Fee (waived for students who visit campus or attend an event virtually)
  • Resume
  • Unofficial transcripts of all post-secondary work. Admitted students enrolling in the program will need to have official transcripts, including proof of degree conferral, on file prior to their first class
  • Goal Statement (essay)
  • Reference/Recommendation (learn more)
  • Official TOEFL, IELTS, or PTE-Academic Scores (international students only)

Note: Students must have passed a university-level statistics course in the past 5 years (B or better), have equivalent industry experience, or have an undergraduate or graduate degree in natural science (biology, chemistry, physics), engineering, math, business, computer and information sciences, finance, marketing, or social and behavioral sciences (psychology, economics, sociology and political science). GMAT or GRE scores are recommended for applicants not meeting this criteria.

MSBA

View current tuition and fees for this program

Financial Aid for Graduate Study

Suffolk University is pleased to offer both merit- and need-based financial aid to graduate students—these awards can be up to $20,000 per academic year. Merit-based aid is awarded based on the applicant's academic credentials presented on the admission application. No separate application is required for merit consideration.

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