The Master of Science in Business: Analytics (MSBA) program at the University of Wisconsin–Madison equips students with the skills to leverage data for critical business decision-making. This accelerated, STEM-designated degree focuses on turning data into actionable insights, preparing graduates for the demands of today's fast-paced world. The program fosters a collaborative learning environment within the highly ranked School of Business, known for its entrepreneurial spirit and world-renowned faculty.
The MSBA curriculum requires 30 credits, including 22 core credits and 8 elective credits. Students will gain expertise in a range of topics such as machine learning, data visualization, statistics, programming, and optimization. The program emphasizes practical application through real-world consulting projects and allows for specialization through industry-specific electives.
Graduates of the School of Business possess highly sought-after general management and specialized expertise. The MSBA program equips students with the skills to lead organizations to success and transform the world of business.
Submission of up to two letters of recommendation is optional. GRE or GMAT may be required in certain cases. An interview may be required by invitation.
Information regarding tuition and fees can be found on the Bursar's Office website. Students in this program are not eligible for tuition remission from graduate assistantships, but may receive a stipend and health insurance if offered an assistantship.
The School of Business is one of the first five business programs established in the nation.
A completed undergraduate degree is required, with common majors including business, computer science, economics, engineering, mathematics, or statistics. Applicants must also meet English language proficiency requirements, typically demonstrated through TOEFL or IELTS scores, though this may be waived for students with prior degrees taught entirely in English.
The Master of Science in Business: Analytics (MSBA) is an accelerated, STEM-designated degree program.
Information regarding tuition and fees is available on the Bursar's Office website. Students in this program are not eligible for tuition remission from graduate assistantships, but may receive a stipend and health insurance if offered an assistantship.
Graduates are prepared for roles such as Data Scientist, Business Analyst, Data Engineer, Analytics Consultant, and Machine Learning Engineer, leveraging their expertise in data analysis and business decision-making.
Applications are submitted directly through the School of Business Admissions page, not the general Graduate School system. You will need to complete an online form and submit required documents such as transcripts, resume, and essay responses.