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Academics

Bentley University's master's in business analytics program specializes in training analytics professionals, equipping students with valuable tools to influence businesses across industries. The program is uniquely designed to be both deep and broad in technical skill building, while also developing students’ ability to use those skills to analyze and present business solutions. The program provides many opportunities for applied practice in Bentley’s specialized high-tech labs, internships, and faculty/student research.

program highlights

High-Tech Learning

Our high-tech learning labs ensure that you’ll have access to the leading edge of technology, giving you every opportunity to cut your teeth on the equipment and software being used in the business world today. 

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Focus Areas

Students take a seven-course core component supplemented with three focused electives in one of five clusters, including data science, finance, information management, management, or marketing. 

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Optional Practical Training (OPT)

International students who complete the required curriculum for the STEM MBA may be eligible to apply to USCIS for an additional two years of Optional Practical Training (OPT). 

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Top Employers Hiring Our Graduates

AdidasBoston Children's HospitalFidelity InvestmentsCiti
Amica Mutual Insurance CompanyDeloitteGooglePwC
BCGEpsilonLiberty MutualState Street
Reema Mulchandani, master business analytics
Bentley was my top choice as a pioneer in analytics. Also, the small class size helped with a more personalized approach and enhanced my learning experience.
Reema Mulchandani
Senior Vice President at Citi

Meet Our Faculty

Here is a glimpse of some of our distinguished faculty you will meet during the course of your program duration here at Bentley. Our professors serve as advisors, mentors and collaborate with students on new and exciting projects.

Moinak Bhaduri

Moinak Bhaduri Rooted in applied probability, Moinak Bhaduri studies Spatio-temporal Poisson processes and others like the self-exciting Hawkes or log-Gaussian Cox processes that are natural generalizations. Bhaduri holds a Ph.D. in Mathematical Sciences University of Nevada, Las Vegas. His primary interest includes developing change-detection algorithms in systems modeled by these stochastic processes, especially through trend permutations. His research has found applications in computer science, finance, reliability and repairable systems, geoscience, and oceanography. 

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Greg Vaughan

Greg VaughanVaughan develops methods for tackling high-dimension supervised learning problems where the number of variables makes traditional techniques intractable. He got his Ph.D. in Statistics at the University of Connecticut in 2017 under the direction of Dr. Jun Yan and Dr. Kun Chen, where his thesis topic was "Stagewise Generalized Estimating Equations". His research interests lie in statistical learning, longitudinal data analysis, statistical computing, big data, biostatistics and public health applications.

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Noah Giansiracusa

Noah GiansiracusaNoah Giansiracusa (PhD in math from Brown University) is an assistant professor of mathematics and data science at Bentley University. Noah's research interests include algebraic geometry, machine learning, empirical legal studies, phylogenetics, and misinformation. Noah is the author of "How Algorithms Create and Prevent Fake News," about which Paul Romer, Nobel Laureate and former Chief Economist of the World Bank, said "It's a joy to read a book by a mathematician who knows how to write... There is no better guide to the strategies and stakes of this battle for the future." Noah's public writing appears in Wired, Slate, and Fast Company, he's been interviewed in TechCrunch and Tech Policy Press, and he has been quoted in Washington Post, Financial Times, Forbes, U.S. News, Agence France-Presse (AFP), and New Delhi TV.

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Reagan Mozer
reagan mozer

Dr. Reagan Mozer is an applied statistician whose research focuses on the development and application of methods for causal inference with complex data, including text data, randomized experiments complicated by issues such as non-compliance, and observational studies with time-varying treatments.

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Mingfei Li
mingfei li

Mingfei Li, PhD, is a professor of Mathematical Sciences and leads the Data Analytics Research Team at Bentley University’s Center for Analytics and Data Sciences (CADS-DART). She is also a co-investigator and senior statistician at the Center for Healthcare Organization and Implementation Research (CHOIR) at VA Bedford Health System, where she contributes to research on mental diseases, COVID-related topics, and health care services. Her work includes study design, data analysis, and collaboration with institutions like Boston University and Harvard University.

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Professor Mingfei Li

"Most of our students have a huge passion for data analytics in business and data science. They are very motivated, eager to learn and do research."

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Tech giants pledge to crack down on AI deep fakes

CNN's Kim Brunhuber speaks with Noah Giansiracusa, a math sciences professor at Bentley University, about how AI-generated misinformation threatens election integrity, and what can be done about it.

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hands-on learning

Champions of Data

By utilizing skills gained in the MSBA program, a Bentley team won first place in the Travelers Stat-a-thon against teams from Yale, Columbia, New York, Johns Hopkins and Boston University.

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T-shirt Prices, Politics Highlight Complexity of Consumer Behavior

Students participated in a data analysis competition sponsored by Bentley’s Center for Analytics and Data Science (CADS) and glean surprising insights from Bentley-Gallup survey data during the data analytics competition.

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Center for Analytics and Data Science (CADS)

The Center for Analytics and Data Science (CADS) provides hands-on experience in data transformation across various fields. Recently, CADS hosted Dan Malone, former VP of Analytics at DraftKings, who discussed using data to create customer support metrics and overcome challenges.

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Art of Repetition

MSBA student, Bahareh Zahirodini, worked alongside Professor Moniak Bhaduri to explored the effectiveness of repetition in communication, drawing insights from cognitive science and illustrating how repeated concepts can enhance memory retention, with examples from comedy, education, and media.

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Curriculum

The curriculum is built around a seven-course core component coupled with three focused electives in one of five clusters: data science, finance, information management, management or marketing. Build an MSBA based on your academic interests or career goals. Explore the course listing below or check out the program flyer. For the most up-to-date information and detailed course descriptions, visit the Catalog.

Foundation Course

GR 521 | Managerial Statistics
 

Required Courses

CS 605 | Data Management and SQL for Analytics
CS 655 | Managing with Analytics
MA 610 | Optimization and Simulation for Business Decisions
MA 611 | Time Series Analysis
MA 710 | Data Mining
ST 625 | Quantitative Analysis for Business
ST 635 | Intermediate Statistical Modeling for Business

Elective Courses

Choose from one of the clusters to further refine your expertise. Students may choose from the suggested electives or from courses outside of these clusters with approval from the program director. 

Data Science 
CS 612 Cloud-Based Enterprise Applications
CS 650 Data Analytics Architectures with Big Data
CS 753 Business Intelligence Methods
MA 705 Data Science
MA 706 Design of Experiments for Business
MA 707 Introduction to Machine Learning

Finance
EC 611 The Macroeconomics of Financial Markets
FI 623 Investments
FI 635 Fixed Income Valuation and Strategies
FI 640 Equity Valuation
FI 645 Derivatives

Information Management 
CS 725 Information, Controls and Ethics
GR 602 Business Process Management
HF 730 Visualizing Information Management 

Management
MG 632 Leading Effective Work Teams
MG 635 Negotiating
MG 645 Leading Change

Marketing
MK 711 Marketing Research and Analysis
MK 726 Customer Data Analysis and Relationship Marketing

Students can also earn elective credit through an internship or special project course:
ST 700 Directed Study in Statistics
ST 701 Internship in Business Data Analysis 
MA 795 Business Analytics Project Course

Natalie Nguyen, masters business analytics alumni
My Business Analytics degree gave me the skills and confidence to excel in data-driven decision-making. The program's real-world focus and coursework in statistical modeling, data mining, and business communication have been invaluable in my role supporting product development, launch, and workflow optimization.
Natalie Nguyen
Product Operations Manager, Google
Amanda Dery, masters business analytics graduate
Studying at a business school versus a computer science school makes a difference.
Amanda Dery
Senior Data Scientist, Virgin Pulse

Tuition and Aid

At Bentley, we do everything possible to make your education affordable for you and to provide the kind of return on investment you expect — and deserve. With available merit and financial aid, Bentley works with qualified applicants to help find ways to pay for their education.

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program director

Luke Cherveny
Luke Cherveny
Program Director and Senior Lecturer, Mathematical Sciences

Luke Cherveny is a senior lecturer and the program director of the MS in Business Analytics at Bentley University. Luke received his Ph.D. in mathematics from the University of California at Los Angeles (UCLA) for work done in algebraic geometry and mirror symmetry. His more recent research interests lie in complex differential geometry, especially canonical metrics on Kähler manifolds, as well as information geometry. His teaching interests span pure mathematics, statistics, and data science. When not working, Luke enjoys traveling, running, and reading. 

Contact Luke to schedule a time to discuss your background and career goals and how these align with Bentley's MSBA program. 

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