MSc in Business Analytics- STEM

Big Data has become big business. And, as the field of business analytics grows, so does the demand for qualified professionals with deep analytical experience. The Master of Science in Business Analytics (MSBA) continues Bentley’s long tradition of training analytics professionals at the graduate level, providing the valuable tools needed to succeed in this emerging field.

Bentley's Business Analytics Program Ranks #12 Among Top Big Data Grad Programs

Value Colleges has ranked the Top 50 Residential Big Data Graduate Programs of 2016 and Bentley's Master of Science in Business Analytics program holds a spot at number 12. Value Colleges chooses top programs by examining Payscale's College Salary Report, U.S. News, and World Report Rankings and cost.

Companies use big data to learn more about their customers and their needs. Researchers in the healthcare industry, for example, have been able to track disease patterns, organize patient information, and determine the best treatments. Geographers are able to analyze both land features to aid architects and hiking trends to assist rescue teams.

Within the next three years, there will be roughly two million job openings in data analytics, but only about one-third of them are expected to be filled. As a result, starting salaries for business analytics specialists are expected to be exceptionally high.

Through our curriculum, you will take six required statistical courses. Elective course clusters will enable you to further refine your expertise by applying it to one of six professional disciplines, adding value for you and your current or prospective employer. You’ll take six required statistical courses, and can specialize your studies by concentrating in one of six clusters: data science, economics, information management, management, marketing, and finance. You also will be able to work directly with professors and our data analytics research team on research projects.

Student Profile

The Masters of Business Analytics program welcomes applicants who wish to develop and use analytics expertise in many business fields, as well as in public policy (such as healthcare) and social science disciplines (such as economics). In general, it takes full-time students 1.5 to two years to complete. Full-time students can change their status to part-time, and vice versa, except international students with an F1 visa. For information about international student regulations, visit the Center for International Student & Scholars.

Potential students may be entry-level candidates who have recently completed a four-year undergraduate degree with some quantitative analysis background or computer science experience and who wish to delve more deeply in their field of study by learning advanced analytical techniques and the creative mindset necessary to apply these techniques in complex situations. Other candidates may have been in the workforce for several years following completion of an undergraduate degree and wish to enhance their professional success by applying advanced analytics techniques and a creative mindset to complex problems typical in their work environment.

With a solid quantitative curriculum, our program is a STEM (Science, Technology, Engineering, and Math) designated program. Therefore, international students will have more flexibility in this program. For more information about international student STEM benefits and the STEM-designated programs, visit the U.S. Immigration and Customs Enforcement.

Career Outcomes

In the business world, there is a high demand for business analysts or data analysts in many business areas.

Within the next three years, there will be roughly two million job openings in data analytics, but only about one-third of them are expected to be filled. As a result, starting salaries for graduates of Masters of Business Analytics programs are expected to be exceptionally high. Employers agree that a good knowledge of general business areas, coupled with strong exposure to analytic techniques and database management tools, are key to success in rewarding data analytics careers. Typical employers include:

• Financial institutions such as Bank of America and Fidelity Investments,
• Healthcare organizations such as Partners HealthCare,
• Database marketing and market research firms such as Digitas, Epsilon, Calexus, and Predilytics,
• Analytics groups in leading corporations such as Deloitte,
• Consulting firms such as the Boston Consulting Group, D50 Media, Chadwick, Martin, and Bailey,
• Retailers such as Staples and major supermarkets chains.

Requirements

• Application Fee
• Transcripts
• Resume
• 2 Essays
• GMAT or GRE Scores (may be waived for qualified students)
• TOEFL/IELTS Scores for International Students (may be waived for qualified students)
• Two Letters of Recommendation

Application Deadlines

Application opens September 1 of the prior year.

Fall (Full-Time and Part-Time)

• November 15: Round 1
• January 15: Round 2
• March 15: Round 3
• May to August: Rolling Admission*

Spring (Full-Time and Part-Time)

• November 1: Priority deadline for full-time students
• September to December: Rolling Admission for part-time students

*Students seeking visas for the fall term should apply by July 1