QS Rank:

152

Michigan State University

Michigan
,United States

Program Name
Ms in Business Data Science and Analytics

Deadline
September 15th, 2024
Overview

The Master of Science in Business Data Science and Analytics program at Michigan State University equips students with essential skills to navigate the rapidly evolving landscape of data analytics in business. This innovative program, offered by the esteemed Broad College of Business, integrates advanced technical knowledge with practical applications in data science. With a focus on real-world scenarios, the curriculum emphasizes the importance of leveraging data to drive strategic decision-making in various business contexts. Students will explore multiple dimensions of data science, from statistical analysis to machine learning, providing a comprehensive foundation for analyzing complex datasets.
Throughout the 12-month program, students will engage in a rigorous curriculum designed to develop their analytical skills and data literacy. Core courses include Data Mining, Predictive Analytics, and Data Visualization, each tailored to equip students with the tools needed to extract valuable insights from data. Additionally, elective courses allow for specialization in areas such as Big Data Technologies and Business Intelligence, fostering a deeper understanding of niche topics in the field. The program prepares graduates for significant roles in the industry, ensuring they are well-versed in both theory and application.
Faculty members in the program are not only experienced academics but also industry professionals with extensive backgrounds in data science and analytics. Their teaching methodology is centered around experiential learning, combining theoretical concepts with practical application. This approach enhances classroom discussions and encourages collaborative projects, allowing students to learn from their peers while gaining insights from seasoned experts. Faculty members also contribute to research initiatives, providing students with opportunities to engage in meaningful projects that can impact the field of data science.
Research opportunities abound within the program, supported by the university's commitment to innovation and collaboration. Students have access to state-of-the-art facilities and resources, including advanced computing labs equipped with the latest software tools. These resources, combined with faculty mentorship, enable students to undertake research projects that can lead to publications and presentations at conferences. The program’s emphasis on research further enriches the academic experience, fostering a culture of inquiry and exploration within the field of business analytics.
Moreover, the program boasts strong industry connections, offering students numerous internship and networking opportunities. The proximity of Michigan State University to key business hubs enhances students' access to potential employers and internships. Partnerships with leading organizations allow students to gain practical experience while building their professional networks. Many graduates have secured positions in notable firms, attributing their career advancements to the hands-on experiences and connections made during their studies.
Graduates of the Master of Science in Business Data Science and Analytics program find themselves well-prepared for a broad array of career pathways. Potential job roles include Data Scientist, Data Analyst, Business Intelligence Analyst, and Clinical Data Analyst, among others. The median base salary for graduates is approximately $110,000, reflecting the high demand for skilled professionals in this field. Alumni success stories highlight the program’s effectiveness in cultivating experts who thrive in diverse industries, from healthcare to finance.
Unique features that set this program apart include its emphasis on real-world applications and the collaboration with industry-leading experts. Additionally, students benefit from a diverse cohort, with an international student diversity rate of 8.3%, enriching the learning experience through varied perspectives. The program's blend of academic rigor and practical experience ensures that graduates are not only knowledgeable but also adept problem-solvers in their respective fields.
Why Study Master of Science in Business Data Science and Analytics at Michigan State University?
- Access to a comprehensive curriculum that covers essential topics in data science and analytics.
- Experienced faculty with a blend of academic and industry expertise, facilitating practical learning.
- Opportunities for hands-on research projects and practical experiences that enhance learning.
- Strong industry connections providing internship opportunities and potential job placements.
- A diverse student body that promotes a rich exchange of ideas and experiences.
- High median salary of $110,000 for graduates, reflecting competitive job market outcomes.
To be eligible for the Master of Science in Business Data Science and Analytics program, applicants must meet certain criteria. Required application materials include an official transcript, a statement of purpose, a resume, and letters of recommendation from both academic and professional sources. Additionally, international applicants must submit English proficiency test scores, with a minimum score of 7.0 on the IELTS or 100 on the TOEFL. The application deadline for the Spring intake is set for September 15th, 2024, making it crucial for prospective students to prepare their applications in advance.
In summary, the Master of Science in Business Data Science and Analytics at Michigan State University offers a robust and dynamic educational experience designed to prepare graduates for a successful career in the field of data science. With a strong curriculum, dedicated faculty, and ample opportunities for professional growth, students will graduate ready to make significant contributions to the world of business.

Total Tuition Fees
$39,000

Duration
12 Months

Median Salary
$1,10,000
Ranking
#77
US World and News Report
#106
The World University Rankings
#152
QS World University Rankings

Intake
Spring ( Apr - June )
Class Profile

Class Size
50

Average Age
28

Average Work Experience
3 Years
Diversity
Others:
10%Ohio:
20%Michigan:
40%Illinois:
30%Indiana:
10%Career Outcomes

Median Earnings After Graduation
$1,10,000 / year
Prospective Job Roles
Statistician
Real Estate Analyst
Statistics Teacher
Biostatistician
Research Data Scientist
Data Integration Specialist
Clinical Data Analyst
Transport Data Analyst
Data Entry Clerk
Vital Statistics Data Analyst
Data Scientist
Health Care Statistician
Data Architect
Legal Data Analyst
Data analyst
Top recruiters















Eligibility Criteria
English Proficiency Tests
IELTS
7
TOEFL
100
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 75
Transcript
GRE
Statement of Purpose
Passport
Resume
IELTS
Academic LOR
Class 12 Marksheets
Professional LOR
Professional LOR
Class 10 Marksheets
Application Deadlines
Standard Deadline | |
---|---|
Spring | Sep 15, 2024 |
Fees and Funding

Tuition Fees
$39,000 / year

Overall Cost
$56,000 / year
FAQs
We admit 42–45 students per year
A key feature of the program is the integration of corporate-sponsored projects that allow students to gain real-world experience. This hands-on approach ensures our students have the skills necessary to be successful in this growing field of work. Students take classes with leading MSU faculty in the Broad College of Business as well as the College of Engineering (computer science). MSU’s Master’s in Business Data Science & Analytics is based on a cohort model, ensuring low student-to-faculty ratios and increased networking opportunities.
Yes, the M.S. in Business Data Science & Analytics is officially designated as a STEM degree program under the Business Statistics CIP code.
QS Top Universities ranked our program #8 in the U.S. and #22 globally in its 2023 rankings of business analytics master’s programs. In 2023, , The Financial Engineer Times ranked our program #18.
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