Frequently Asked Questions

Please contact the program’s admissions office via email at analytics@broad.msu.edu.

A key feature of the program is the integration of corporate-sponsored projects that allow students to gain real-world experience. This occurs every semester of the program that a student is enrolled. 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 Michigan State faculty in the Broad College of Business as well as the College of Engineering (computer science) and the College of Natural Science (mathematics).

The program is designed to be completed in one calendar year. Classes start in January and end in December of the same year.

QS Top Universities ranked the program #6 in the U.S. and #18 globally in its 2019 ranking of business analytics master’s programs. The Financial Engineer Times ranked the program #12.

Additionally, the program was featured as 1 of 23 Great Schools published by MastersInDataScience.org and as a top program in preparing students for a digital future on BISoftwareInsight.com.

The program is located in the Business College Complex on Michigan State University’s campus in East Lansing, Michigan.

The program is only available on campus full time. There are no options for part-time or online courses for our master’s degree program.

The curriculum includes courses in business strategy, data mining, applied statistics, project management, marketing technologies, communications and ethics taught by leading MSU faculty.

Course Descriptions

Yes! The program has a project-driven approach which gives students opportunities to gain exposure to real-world scenarios. Experiential learning allows students to be introduced to companies, work in teams, and solve business problems using analytical techniques. SAS and IBM SPSS software trainers also visit our program multiple times a year for on-site student training.

The program is structured to have several hands-on learning experiences. Accordingly, it is good to have knowledge about word processing, spreadsheets, networking, and database management. Students should also be familiar with using programming languages and statistical analysis software.

The M.S. in Business Analytics is officially designated as a STEM (science, technology, engineering, and mathematics) degree program. The STEM certification provides international students in our program with authorization to work in the United States for an additional 24 months beyond the standard 12 months under OPT, for a total of 36 months of work authorization.

The overall average for the class of 2018 is 668.

The average TOEFL score for admitted international students was 100. There is no minimum, but the higher the score you receive, the better your chances are of an acceptance.

Students’ average age is 26.

Overall GPA for admitted students was 3.45.

We target a class of 30–35 per year.

For the class of 2013, 100 percent of our student received employment offers. For the class of 2014, 95 percent accepted employment. For the class of 2015 at graduation, 100 percent accepted a job offer that were seeking employment. For the class of 2016, 100 percent are employed that were actively seeking employment. Of class of 2017 graduates, 100 percent are employed that were actively seeking employment.

The average annual base salary for the class of 2013 was $75,000 USD. For our class of 2014, it was $80,888. For the class of 2015, the average salary was $90,020 at graduation and $88,000 at 3 months post-graduation. For the class of 2016, the average salary was $85,200.

Students have received offers from companies such as Nike, Gongos, Ducker, Chrysler, GM, PGA Tour, GM, Domino’s, Capital One, EY, Cognizant Technologies, Deloitte, Fanuc and more. Typical job titles include business intelligence developer, data analyst, solutions architect and consultant.

The program provides each student with a career services advisor to help in the search for employment. Students receive personalized resume reviews, practice interviews, negotiation advice, etc. The program also provides networking opportunities, workshops and career fairs to help students develop relationships with employers. Specifically, we have a spring analytics fair focused on internships and a fall analytics fair focused on full-time job opportunities.

For the most updated information, please visit the Tuition and Financial Aid page.

We provide scholarships up to $1,500 to assist students in attending industry events and certifications. This is paid out after the event or certification has taken place.

In addition, the summer internship experience allows students to earn a significant amount to support their educational expenses. This amount is determined by the internship offer a student receives.

Yes, internships are a required component of our program in the summer. The average pay was $25 an hour for 2017 summer interns. For the Class of 2018, 100 percent secured an internship for the summer.

There are opportunities available for on-campus employment. Often during the school year, our office will receive requests for resumes from other MSU departments. Often, students will continue to work remotely for their summer internship companies approximately 10 hours per week in the fall.

For specific details, please visit our Admissions page.

We admit students based on the entire contents of their application, and thus we cannot review or assess your chances until your application is complete. The admissions committee will only review a candidate’s application if all required documents are received.

There is no work experience minimum. We like to target a range of ages to meet the personalized needs of the companies we work with. Some employers prefer students directly from undergrad, all the way to 10+ years of work experience. Our average age ranges from 26–27 years of age.

Candidates can choose to take either the GRE or the GMAT. GMAT/GRE waivers are only granted to Michigan State University graduates with a GPA greater than 3.25. The M.S. in Business Analytics GMAT code is QHO-5P-59. The GRE code is 1465.

While we do not have a minimum GMAT/GRE score, our average GMAT score of admitted students is 620. GMAT/GRE scores alone does not guarantee or deny admission to the program as we review applications on a holistic basis.

The program does not require a specific undergraduate degree. However, students from business, statistics, computer programming, actuarial science, economics, etc. are often great fits for the program. If you lack experience in a specific area, Coursera.com offers several free training classes in R, Python, etc. Gaining additional training will ensure you have the base-level skills required to be successful in the classroom.

As part of the program, students must show proof of exposure to statistics and object-based computer software programming.

Overall, from an application perspective, we look for exposure to all three pillars of our program: business, computer programming and statistics. If you find you are light in one of these areas, we would recommend that you take courses in the gap areas to help you become a better-rounded applicant.

There are several great resources at MSU to help you prepare for a M.S. in Business Analytics:

• Take an introductory-style course such as ITM 481, CMSE 201, CMSE 202, CSE 231, CSE 232 or PLS 392. All of these would provide some conceptual background and technical skill development.
• Pursue a minor/major in one of the following: computational math (CMSE), information technology, computer science, statistics, or social science analytics.
• Join the MSU Data Science Club! This club provides access to elite speakers, training workshops and weekly collaborative meetups.

English competency test scores are required, with minimum scores of 250 on the computer version of the TOEFL and 100 on the internet-based test, or a minimum of 7 on the IELTS. English competency test takers should use the Michigan State University code 1465.

The English language proficiency test requirement may be waived for students who earned a bachelor’s degree in the United States. For example, if you earned a bachelor’s degree at MSU, with the majority of credits earned while on campus, your English language competency scores are usable (even if old) for admission into the program. Find out more on our Admissions page.

The Office for International Students and Scholars (OISS) is dedicated to providing support to Michigan State University’s international students, scholars and families.

The program requires that applicants complete a four-year undergraduate degree. Students with a three-year degree will need to complete an additional year via a master’s degree in order to be considered.

The program has four rounds a year. Your application must be complete by the deadline in order to be considered.

• Round 1: Submit by April 1; admit notifications sent by the end of the month
• Round 2: Submit by July 1; admit notifications sent by the end of the month
• Round 3: Submit by Aug. 1; admit notifications sent by the end of the month
• Round 4: Submit by Oct. 1; admit notifications sent by the end of the month

(All applicants not admitted in their given round will be waitlisted. Official declines will be sent starting Nov. 1.)

All documents must be received by Oct. 1. We can’t guarantee a place in our class if your documents are submitted after this date. Once we admit 30–35 students, we will then close the application process. Thus, completing your application early is highly recommended.

Documents and unofficial test scores can be loaded onto our online application system. Official test scores must be sent to the program office. The GMAT code is QHO-5P-59. The GRE code is 1465. English competency test takers should use code 1465. International students, please be sure to send ATTESTED copies of your transcripts.

The program will contact you once a decision is made on your application. We will only review your application once it is complete. You can log onto the application system to verify your documents are in place.

The admissions team will review completed applications. Based on the strength of the candidate, the admissions team would schedule an interview as the next step. Interviews are conducted by invitation only, either in person on campus or over Skype.