QS Rank:

152

Michigan State University

Michigan
,United States

Program Rank

7

Program Name
Master of Science in Business Data Science and Analytics

Deadline
August 15th, 2024
Overview

Embarking on the journey toward a Master of Science in Business Data Science and Analytics at Michigan State University is an investment in your future that offers unparalleled opportunities for growth and learning. This program is designed not only to equip you with critical skills in data analysis and management but also to prepare you for a dynamic career in the fast-evolving field of business analytics. Throughout the course, students engage in hands-on experiences that bridge the gap between theoretical knowledge and practical application, ensuring they can tackle real-world challenges effectively.
The curriculum is meticulously crafted to cover a wide range of essential topics within the domain of business analytics. Core courses include Data Mining, Predictive Analytics, and Business Intelligence. Additionally, students will delve into advanced statistical methods, machine learning algorithms, and data visualization techniques. This diverse curriculum not only enhances analytical capabilities but also fosters a deep understanding of how data can inform strategic business decisions. Students will also have the chance to explore specialized electives such as Big Data Technologies and Data-Driven Marketing, further enriching their learning experience.
At the heart of this master’s program is a faculty of esteemed experts who bring a wealth of experience from academia and industry. The instructors are dedicated to fostering an interactive learning environment, encouraging students to engage with course materials critically. The faculty's innovative teaching methodologies combine traditional lectures with practical case studies and collaborative projects, allowing students to apply what they learn in real-time scenarios. This approach not only enhances student understanding but also prepares them for the collaborative nature of the workplace.
Research opportunities abound for students pursuing the Master of Science in Business Data Science and Analytics. Students can engage in cutting-edge research projects that address pressing issues within the industry. The program partners with various organizations, offering access to invaluable resources and data sets that enrich the research process. Moreover, students are encouraged to publish their findings, presenting them at conferences and contributing to academic journals, thereby enhancing their professional profiles.
Moreover, the program boasts strong industry connections, providing students with numerous internship opportunities to gain practical experience. These connections often lead to valuable job placements after graduation. With a robust job placement percentage of 93%, graduates of the program have successfully secured roles in a variety of sectors, including finance, healthcare, and technology. The average starting salary for graduates is an impressive $90,000, reflecting the high demand for skilled professionals in business analytics.
The career pathways for graduates are diverse and abundant. Roles such as Data Scientist, Business Analyst, and Machine Learning Engineer are just a few of the exciting positions available to alumni. Graduates have gone on to work for industry giants and innovative startups alike, applying their skills to drive data-driven decision-making. Alumni testimonials often highlight how the program's rigorous training prepared them for the challenges of the workforce and set them on paths to success.
Unique features of the Master of Science in Business Data Science and Analytics include a curriculum that integrates ethical considerations in data handling, emphasizing responsible data usage in business. Students also benefit from workshops that enhance soft skills such as communication and teamwork, which are vital in today’s collaborative work environments. The program's focus on real-world applications ensures that students not only understand theoretical concepts but can also implement them effectively in their careers.
Why Study Business Data Science and Analytics at Michigan State University?
- Comprehensive Curriculum: The program covers essential topics in data science, machine learning, and analytics, ensuring you are well-prepared for your career.
- Expert Faculty: Learn from experienced instructors who are leaders in the field, providing you with insights and practical knowledge.
- Strong Industry Connections: The program partners with various organizations, offering internships and job placement opportunities that help kickstart your career.
- Research Opportunities: Engage in meaningful research projects that allow you to contribute to the field while enhancing your own learning experience.
- High Job Placement Rate: With a job placement rate of 93%, graduates find employment in various industries shortly after graduation.
To apply for the program, prospective students must meet specific requirements. Candidates are required to submit standardized test scores from the GRE or GMAT, along with a completed application, personal statement, transcript, and resume. Additionally, international students must demonstrate English proficiency through tests such as TOEFL, IELTS, or Duolingo, with specified minimum scores for acceptance.
Overall, the Master of Science in Business Data Science and Analytics at Michigan State University stands as a remarkable choice for individuals seeking to advance their careers in a data-driven world. With its rigorous academic framework, expert faculty, and strong industry ties, this program equips students with the skills and knowledge necessary to thrive in a competitive job market.

Total Tuition Fees
$39,000

Duration
12 Months

Median Salary
$90,000
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
30

Average Age
25

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

Median Earnings After Graduation
$90,000 / year

Graduation Rate
81%

Job Placement
93%
Prospective Job Roles
Statistician
Product Manager
Data Engineer
Software Engineer
Research Scientist
Entrepreneur
Data Scientist
Business Analyst
Consultant
Machine Learning Engineer
Top recruiters










Eligibility Criteria
English Proficiency Tests
PTE
53
TOEFL
100
IELTS
7
DUOLINGO
110
Standardised Test Score
GMAT
600
GRE
280
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
Personal Statement
Resume
Academic LOR
Application Deadlines
Standard Deadline | Secondary Deadline | Round 3 | Final Deadline | |
---|---|---|---|---|
Spring | Mar 15, 2024 | May 1, 2024 | Jul 1, 2024 | Aug 15, 2024 |
Fees and Funding

Tuition Fees
$39,000 / year

Overall Cost
$69,000 / year

Average Total Aid Awarded
$11,569 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
The Michigan State University offers a variety of scholarships for students pursuing a Master of Science in Business Data Science and Analytics. These scholarships are based on merit, financial need, and other criteria. Some of the scholarships available include the following: * The MSU Presidential Scholarship is awarded to students with a high GPA and strong academic achievements. * The MSU Dean's Scholarship is awarded to students with a strong academic record and a demonstrated interest in business data science and analytics. * The MSU Alumni Scholarship is awarded to students who are alumni of MSU or a partner institution. * The MSU Diversity Scholarship is awarded to students who are members of a minority group or who have a demonstrated commitment to diversity and inclusion. In addition to these scholarships, MSU also offers a variety of financial aid options, such as loans, grants, and work-study programs. Students can learn more about financial aid by visiting the MSU Financial Aid website.
FAQs
A student can complete Business Data Science and Analytics at Michigan State University with in 12.
The deadline to submit an admission application for Business Data Science and Analytics at Michigan State University is Application deadline Spring (Round 2) - date - 01/07/2023 ,Application deadline Spring (Round 3) - date - 15/08/2023
The application fee to pursue Business Data Science and Analytics at Michigan State University is USD 75 for international students.
The annual tuition fee to pursue Business Data Science and Analytics at Michigan State University is USD 39000.
The submission of these scores mainly depends on the type of degree/ course selected at the Michigan State University. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Michigan State University requirements before submitting a score.
Business Data Science and Analytics can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of Michigan State University, they can easily pursue Business Data Science and Analytics. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at Michigan State University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Michigan State University website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at Michigan State University by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
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