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Expand business intelligence through business analytics.

More data is available than ever before, and analytics have become a part of every major business decision today. With the Master of Science in Business Data Science and Analytics (formerly M.S. in Business Analytics) from Michigan State University, you can become an integral part of this emerging transformation and leading new industry.

  • 7
  • Master's in Business Analytics
  • in the US (public institutions)
  • (QS World University Rankings, 2022)
  • 10
  • Master's of Business Analytics
  • in the US (public institutions)
  • (TFE Times, 2022)
On Campus

30 Credits

12 Months

Silhouette of professor in front of classroom pointing at a projector screen with

Lead the big data revolution.

The main themes of the Data Science and Business Analytics program focus on business strategy, data tools and management, and experiential project consulting. Graduates from Broad’s M.S. in Business Data Science and Analytics program have landed employment opportunities in a wide range of industries, such as consulting, automotive, consumer products, retail and financial services. Forty percent of graduates enter the field as a data scientist, while 60% follow a more business analyst career track. This Master’s in Data Science and Business Analytics program is designed to give training and hands-on experience to students in multiple areas of the data science and analytics field such as descriptive, predictive and prescriptive analytics.

Program Highlights

As a master’s student in Broad’s MS-BDSA program, you will:

  • Take classes with leading MSU faculty in business, computer science and statistics from the Broad College of Business, College of Engineering and College of Natural Science
  • Experience working on live data analytics projects and real-world problem solving
  • Expand your business intelligence and link your expertise to a growing field of work

“The best part for me about this program is the variety of academic projects and internship experiences. This gave me a real-time experience before I was thrown in the pool of actual industry life. Proud to be a Spartan!”

Amruta Lagad ’14 (Financial Analyst, Ford Credit)

“The imperative to analyze very large data sets has expanded from the purely academic world into the private sector. The M.S. in Business Analytics will prepare students with backgrounds in math and the sciences to productively analyze data in the business world.”

Richard Schwartz, Ph.D. (Associate Dean, College of Natural Science)

“We're in the early innings of a major transformative trend around business analytics. This trend will generate strong demand for graduates who can apply analytics to a variety of business challenges.”

Deepak Advani (VP, Business Analytics Products, IBM)

“The best part of the program for me was its project-driven approach to education. The experiential projects were great opportunities to get exposure to real world scenarios ... I am also grateful to my professors for providing such wonderful support.”

Garima Khamesra ’14 (SAS Data Analyst, Capital One)

“Large-scale, high resolution data sets are being created in ways never before imagined. Enormous challenges and opportunities are available for those who analyze, manage and extract useful information from the data sets.”

Matt Mutka, Ph.D. (Chair, MSU Computer Science and Engineering)

“After under a decade of traveling for large consulting firms and leveraging programming and database skills at a number of Fortune 50 firms, Michigan State’s business analytics program gave me the opportunity to understand how much I didn’t know about how data is really used across organizations.”

Jordan Martz ’13 (Business Analytics Sales, Oracle)

“As the volume of data collected by organizations continues to expand, there is a shortage of competent graduates who understand the needs of business and are well versed in the wide array of data analysis tools.”

Pang-Ning Tan, Ph.D. (Associate Professor, Computer Science)

Academic and professional background are considered when the M.S. in Business Data Science and Analytics applications are reviewed. Additionally, the potential for a successful career in the data and analytics field is considered. Experience with computer programming and language (Python, R, Java, C, etc.) and statistics is not required, but highly recommended. Applications are reviewed based on the above criteria and in relation to current applicants.

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The data and analytics program is designed to be completed in one calendar year from January to December. Each semester, the highly experiential program offers students the opportunity to work on data sets arranged with corporate and faculty support. It is also a full-time, fixed curriculum, cohort-based program to help ensure a solid team focused program. The cohort consists of 48 students, ensuring a low student-to-faculty ratio and individual student focus. This Master’s in Business Data program is not currently offered part-time or online. The curriculum includes courses in business strategy, data mining, data tools, applied statistics, project management, marketing technologies and communications.

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Tuition for in-state residents is $36,000 for M.S. in Business Data Science and Analytics program. For out of state residents, tuition is set at $39,000.

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Prospective students can schedule an appointment to discuss the program by emailing

Data Science and Business Analytics Career Success

Career opportunities are numerous for those who can analyze, communicate and apply complex data sets to a variety of societal and business needs. Partnerships with corporations and other entities give Broad College M.S. in Business Data Science and Analytics graduates leverage for increased career success in both data science and analytics roles.

STEM Certified

The M.S. in Business Data Science and Analytics is a STEM-certified degree (Business Statistics, 52.1302 CIP Code) that provides international students authorization to work in the U.S. for up to three years (24 months of STEM OPT extension beyond the regular 12-month OPT).

Career Services Support

We provide our students with multiple tools to be successful on the internship and job search in the data science and business analytics field. Before even starting the program, accepted students will begin preparing their resume and cover letter with the program director and Russell Palmer Career Management Center coaches. During the program, multiple seminars, career workshops, and personal advising sessions are offered. In addition, two career fairs are delivered during the year specifically for analytics students.

Mean Summer Internship Pay
Class of 2021

Mean Starting Salary
Class of 2021

Placement Rate within 3 months of graduation
(100% within 6 months)
Class of 2020 (c/o 2021 available March 2022)

I am impressed with the preparedness of the students coming out of this program. They were able to immediately have a meaningful conversation with me about the technical details of predictive modeling, while at the same time knowing what questions to ask to better appreciate the business environment in which their models will live.
Eric Traux
Predictive Analytics Department, Auto Owners Insurance

Employers of Note

Students from our program have received offers representing a wide range of top companies across industries. Typical job titles include business intelligence developer, data analyst, data scientist, decision scientist, business analyst, solutions architect, and analytics consultant.

Meet our 2023 Cohort!

We are proud to present our Class of 2023!
Olayemi Adesina headshot

Olayemi Adesina

Barath Alapatt headshot

Barath Alapatt

Kaitlyn Arnold headshot

Kaitlyn Arnold

Erika Brittingham headshot

Erika Brittingham

Mahesh Cherukuri headshot

Mahesh Cherukuri

James Cuozzo headshot

James Cuozzo

Priyanka Demla headshot

Priyanka Demla

Zayd Elbaissari headshot

Zayd Elbaissari

Rohan Galipur headshot

Rohan Galipur

Greg Gibson headshot

Greg Gibson

Addison Golo headshot

Addison Golo

Aibek Gubashov headshot

Aibek Gubashov

Syed Mubashir Imam headshot

Syed Mubashir Imam

Divisha Jain headshot

Divisha Jain

Ariyan Kailainathan headshot

Ariyan Kailainathan

Shaun Kaminske headshot

Shaun Kaminske

Vamsi Gopala Krishna Kethepalli headshot

Vamsi Kethepalli

Sriya Kondabathula headshot

Sriya Kondabathula

Lakshmi Krishnagiri headshot

Lakshmi Krishnagiri

Sandeep Kumar headshot

Sandeep Kumar

Laasyapriya Lavisetty headshot

Laasyapriya Lavisetty

Jiran Li headshot

Jiran Li

Sushrith Mallegowda headshot

Sushrith Mallegowda

Christian Matye headshot

Christian Matye

Hailey Melnick headshot

Hailey Melnick

Darshan Nandasana headshot

Darshan Nandasana

Naveen Parthasarathy headshot

Naveen Parthasarathy

Tasnuva Puspita headshot

Tasnuva Puspita

Arya Satapathy headshot

Arya Satapathy

Richa Singh headshot

Richa Singh

Suyash Singhal headshot

Suyash Singhal

Umang Singhal headshot

Umang Singhal

Majd Soueid headshot

Majd Soueid

Suhas Sundar headhsot

Suhas Sundar

Monika Sureshkumark headshot

Monika Sureshkumar

Pranav Thampi headshot

Pranav Thampi

Shri Abhiraami Thangavel headshot

Shri Abhiraami Thangavel

Aishwarya Tiwari headshot

Aishwarya Tiwari

Sreeram Warrier headshot

Sreeram Warrier

Mounika Yallamandhala headshot

Mounika Yallamandhala

Hao-Hung Yang headshot

Hao-Hung Yang

Students in the business analytics program at Michigan State take notes in class, surround by piles of textbooks and laptops.

Let’s get started.

For additional details on the Broad Master of Science in Business Data Science and Analytics program at MSU, complete our brief request form. We look forward to connecting.

Contact Information