New Name. New Possibilities.
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 MS-Business Analytics) from Michigan State University, you can become an integral part of this emerging transformation and leading new industry.
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.
As a master’s student in Broad’s MS-BDSA program, you will:
“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!”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
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.Learn More
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 faculty-to-student 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.Learn More
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.Learn More
Prospective students can schedule an appointment to discuss the program through the Calendly meeting scheduler. Current students may also schedule an advising appointment through their Calendly scheduler.
The program director, Gayle Nelson, can also be reached via email at email@example.com or via phone at (517) 355-7600.Schedule a Meeting
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.
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).
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.
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.
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.