QS Rank:
152
Michigan State University
Michigan
,United States
Program Rank
7
Program Name
Master of Science in Business Data Science and Analytics
Deadline
March 15th, 2024
Overview
View Official pageAn MS in Business Analytics degree at Michigan State University helps an international student hone the skills to apply modern data science and machine learning capabilities at work to solve real-world business problems. This MSc Business Analytics degree at Mich. SU is for working professionals or recent graduates who want to launch or accelerate their careers in a business analytics role.
Course Level | Post Graduation |
Course Duration | 18-24 months |
Average Tuition Fee | INR 46 lakhs per year |
Top Job Roles | Machine Learning Engineer, Data Architect, Statistician, Data Analyst, Chief Technology Officer, etc. |
The most common MS Business Analytics subjects at Michigan State University are:
- Finance
- Business Analytics
- Business Management
- Accounting Management
- Human Resource Management
- Sales and Marketing
With these Masters in Business Analytics subjects, the following is the course scope.
Scope of MS in Business Analytics
After pursuing an MSc Business Analytics degree at Michigan State University, one can make good decisions by considering data and information.
- Because of the MS in Business Analytics course at Mich. SU, companies/businesses can rely on business analytics professionals who analyse data and help them make better-informed decisions.
- Further, career opportunities in business analytics are booming.
- Business Analytics helps businesses use data to identify opportunities for improving their bottom line.
- Based on Allied Market Research, in 2020, the big global data and business analytics market size was valued at $198.08 billion and is projected to reach $684.12 billion by 2030.
- With the increased size of the business analytics market, job opportunities will consequently increase.
- A few of the top job roles after MS in Business Analytics at Michigan State University are Financial Analyst, Data Scientist, Management Analyst, and Business Data Analyst.
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
Aptitude Test Scores
Minimum Score
600 / 800
Minimum Score
280 / 340
Language Test Scores
Minimum Score
53 / 90
Minimum Score
100 / 120
Minimum Score
7 / 9
Minimum Score
110 / 160
Diversity
Others:
10%Ohio:
20%Michigan:
40%Illinois:
30%Indiana:
10%Admissions
Application Deadlines
Spring
Round | Deadline | Decision |
---|---|---|
Standard Deadline | Mar 15 | NA |
Secondary Deadline | May 1 | NA |
Round 3 | July 1 | NA |
Final Deadline | Aug 15 | NA |
Application Requirements
To be eligible for the Master of Science in Business Data Science and Analytics program at Michigan State University, you must have a bachelor's degree in a related field, such as business, computer science, or statistics. You must also have a strong foundation in mathematics and programming. In addition, you must have a GPA of 3.0 or higher. The program also requires that you submit a statement of purpose and two letters of recommendation. The application deadline is February 15.
What Really Matters When Applying
Online application
Required
Application fee
Required
Unofficial Transcripts
Required
Unofficial GMAT/GRE
Required
Two Letters of Recommendation
Required
Personal Statement
Required
Resume
Required
Video Essay
Required
English language proficiency
Required
Academic LOR
Required
Transcript
Required
Application Fee
75
Essay Question
Question 1
1. Personal Statement The statement should be limited to two typed, double-spaced pages. Please address the following: Why are you interested in the M.S. in Business Data Science and Analytics program? How will your background contribute to your success in the program? Briefly describe your career goals and how the program will assist in attaining your objectives. 2. Video Essay - The application will have a series of rotating video essays. Students will answer one video essay question within the application system 3. Optional statement - Please ONLY write an optional statement if you have items that need further explanation on your application–significant gaps in employment, negative grade impacts, etc. Do NOT write this to expand on skills already mentioned in your resume or personal statement or mentioned in the certificates section.
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
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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