With the world trade being surrounded by 2.3 trillion GB of data, a need for trained, skilled professionals who can utilise and analyse this data for businesses is also rising. This 10 to 12-months dynamic course offers various statistical and quantitative methods, computational tools, and prediction models to utilise in companies. Over 150 colleges offer MS in Business Analytics in the USA. Pursuing MS Business Analytics in the USA universities can cost you anywhere from 20,000-80,000 USD (annual tuition fees).
Highlights of studying MS in Business Analytics in the USA
Below we have mentioned some key highlights of why you should consider undertaking this course in the United States of America.
- 210 top class universities offering Business Analytics
- 1,15,200 new job opportunities openings – Indeed
- 27% growth in the Business Analytics sector between 2016-2026 – Bureau of Labor Statistics
- 97,182 is the recorded average salary around the USA
- Business Analytics is a stem program with a bright outlook
- Get a master’s degree in just 12 months
- Confirmed Post Study Work permits up to 3 years for works in the USA
- 20 hours of a weekly part-time job on campus for students for financial assistance
- A fee of just 20 lakhs for Education of global standards
- Teaching, Graduate, and Research Assistantship are available
MS in Business Analytics in the USA: Top Universities
The USA accounts for the world’s best colleges for Business Analysts. Both Times Higher Education and QS Ranking have placed the USA higher than others. The Analytics market in the USA is worth USD 29.53 billion alone. It is a career thriving upon critical thinking, so every year, there is a shortage of 140,000-190,000 employees in the field.
Some of the top-ranking universities of the USA offering master’s in business analytics are listed below:
| Global Ranks | Universities | Program Offered | School/Department Offering | Annual Fees (USD) |
| #1 | MIT | Masters of Business Analytics (1 year) | Sloan School of Management | 82,000 |
| #2 | UCLA | MS Business Analytics (15 months) | Anderson School of Management | 26,544 |
| #3 | The University of Texas at Austin | MSBA (Master of Science in Business Analytics) 10 months | McCombs School of Business | 48,000 |
| #11 | University of Minnesota | MS Business Analytics (1 year) | Carlson School of Management | 65,250 |
| #12 | Michigan State University | Master’s in Business Analytics (12 months) | Eli Broad College of Business | 39,000 |
| #13 | Purdue University | MS Business Analytics and Information Management | Krannert School of Management | 48,600 |
| #19 | Arizona State University | MSBA (9 months) | W.P. Carey School of Business | 55,488 |
| #22 | University of Notre Dame | MS Business Analytics (1 year) | Mendoza College of Business | 55,308 |
| #25 | UC Davis | MSBA (1 year) | Graduate School of Management | 26,544 |
| #26 | UC San Diego | MS Business Analytics (11 months) | Rady School of Management | 26,544 |
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Eligibility for MS Business Analytics in the USA
The university-specific test scores and other requirements for studying MS in business analytics in the USA are briefed in the table given below.
However, international applicants are required to have a minimum GPA of 3.0 on a scale of 4.0. This is equivalent to an 83-86% score or B grade in their graduate courses.
| Universities | Academic Requirement | GRE/GMAT score | Additional Requirements | ELP Test Scores |
| MIT(Sloan) | 3-year UG acceptedno minimum GPA (average 2020- 3.9) | Average GRE quant- 168 | Interview, work experience | TOEFL: 90IELTS: 7.0 |
| The University of Texas at Austin (McCombs) | 87-89% | Minimum GRE quant- 157 | Work experience preferred but not compulsory. | TOEFL– 100;IELTS- 6.5 |
| University of Notre Dame | Statistics and two business courses | GMAT required | 2-year work experience | TOEFL: 94IELTS: 7.0 |
| Arizona State University | 87-89% | GRE-310GMAT- 641 | work experience of 2 years | TOEFL: 80IELTS: 6.5 |
| University of Minnesota (Carlson) | 80-82% | Required | Computer programming skills, work experience preferred | TOEFL – 105+(iBT)IELTS- 7.0 |
| UCLA | 3.0 | GRE quant- 167 (minimum)GMAT- 710 | Two years’ work experience | TOEFL: 87IELTS: 7.0 |
| Michigan State University (Eli Broad) | 87-89% | GMAT- 650 | Applicants having a GPA of 3.25 or higher will get a GMAT waiver.Computer programming language required. | TOEFL-100(iBT)IELTS-7 |
| Carnegie Mellon University (Heinz College) | No minimum requirement | GMAT or GRE scores | Interview | TOEFL: 84ELTS: 7.0 |
| UC San Diego | 3.0 | No minimum requirement | 5-year work experience | TOEFL: 105IELTS: 7.0 |
| UC Davis | 3.0 | GMAT- 718 | – | TOEFL: 105IELTS: 7.0 |
Documents required for application
International applicants need the following documents for the admission procedure:
- Valid Passport – the passport should be currently valid, and the validity should extend up to after your course has finished.
- Copy of the previous passport, if applicable
- Printed copy DS-160 form and I-20 form
- Receipt of visa fee for confirmation of payment
- Evidence of financial resources – could be submitted in the form of tax returns, bank statements, salary slips, scholarship letter, etc.
- Original mark sheets as proof of educational qualification so far
Score sheets of exams like GMAT, GRE, TOEFL, IELTS, etc.
Tuition Fees
The masters in business analytics in the USA are mostly a one-year program, which can cost 27,000 USD to 82,000 USD depending upon the university’s choice. This is equivalent to 20 to 61 Lakhs INR (May 2020). This cost may seem way too high for a student on a budget.
Therefore, one of the best solutions for controlling this expense is applying for international students pursuing a master’s degree in the USA. Many scholarships are available for international students in the USA.
With approximately 1,86,000 Indian students studying in the USA, scholarship programs are widely available. The Fulbright Foreign Student Program has a specific Indian counterpart known as the Fulbright-Nehru Master’s Fellowship that funds master’s students. There is also a Hubert Humphrey Fellowship Program for students looking for a financing option. These scholarships available to Indian students in the USA are detailed below:
| Scholarship | Amount (USD) |
| Fullbright Masters Scholarship | Tuition and other expense waivers |
| GoClean Scholarships | 3500 |
| AAUW International Fellowships | 18,000 |
| BrokerFish International Student Scholarship | 1000 |
| Inlaks Shivdasani Foundation Scholarship | 100,000 |
This was our complete guide on pursuing an MS in Business Analytics in the United States of America. We genuinely hope any queries you might have been solved.
ForeignAdmits provide you with world-class mentors and counsellors from around the globe. Make full use of the opportunities coming your way and contact our mentors for expert opinion and professional help.
Good luck!
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Frequently Asked Questions
Q1. How lengthy is the MS in Business Analytics program in the USA?
Ans. The masters in Business Analytics in the United States is among the most popular STEM degrees, including graduates eligible for three years of Optional Practical Training (OPT) in USA.
Q2. Is an MS in Business Analytics a STEM course in the United States?
Ans. STEM prograes include business analytics. Individuals that study in the United States get worldwide experience by working with multinational brands.
Q3. Is the GRE necessary for the MS in Business Analytics programme?
Ans. GRE and GMAT scores are not necessary for admission to the MS in Business Analytics program.
Q4. Is there coding in business analytics?
Ans. Because business analytics is mainly focused on data, your position should not need any coding. Nevertheless, you may discover yourself utilising a range of different programmes in your job, such as Excel for spreadsheets and calculations.
Q5. Is it difficult to get a master’s degree in business analytics?
Ans. Technically, business analytics is not very difficult. You could teach it to practically anybody with a basic understanding of mathematics. We have tools created by data scientists that can assist in extracting meaningful information from a dataset.