Master of Science in Business Analytics and AI | Frequently Asked Questions

This advanced business degree program teaches students to gain a competitive edge by synthesizing data to make better decisions. Through its unique program design, students will gain experience in quantitative and technical methods as well as further develop their strategic and business management skills.

NYU Stern is both a top rated business school and one of the world’s leading research institutions. Our students have access to world-renowned faculty members, who are global thought leaders, industry veterans, strategic advisors, and creators of new knowledge.

The program’s part-time format not only reduces office leave, but also allows students to apply learning in real-time, creating a positive impact on job performance immediately.

The MS in Business Analytics and AI experience is a global one, allowing students to expand their international network. Students benefit from exposure to cultures, industries and companies throughout the world, as well as cross-learning among their cohorts.

After completing the program, graduates are well prepared to follow a career in the field of business analytics and AI, or build on new found credibility and confidence to provide critical business analytic advisory services.

For specific examples, please visit our Alumni Profiles page.

The MS in Business Analytics and AI program is designed for experienced professionals and managers. These individuals have responsibilities in areas that help drive greater efficiencies, manage costs, and identify growth opportunities. Participants come from a broad range of sectors: consumer products, energy, financial, healthcare, pharmaceutical, industrials, technologies, NGOs, consulting, etc.

Complete a preliminary information form for an initial assessment of your candidacy. This will enable us to better advise you on your suitability for the program before encouraging you to submit an application. You can find the preliminary information form here.

No, GMAT and GRE scores are not required to apply to the MSBAi program.

The MSBAi Admissions Team organizes virtual admissions events throughout the year. Please visit our events page to view the upcoming schedule. If you have specific questions related to your candidacy and would like to schedule a meeting with an Admissions Team member, please complete a preliminary information form for an initial assessment.

Yes. While we can accept unofficial transcripts as part of your application for initial assessment purposes, we must receive your official transcripts directly from all institutions from which you hold a completed degree in order to provide you with an admissions decision.

You must submit one professional recommendation through the online application portal. The recommendation must be completed by your current or most recent immediate supervisor. If you are self-employed, you may have a current or recent client complete the recommendation. You may also choose to submit additional recommendations. We ask that you do not submit letters of recommendation from family members or friends.

Race and ethnicity data collected in the application is not provided to admissions committee members for use in the application-selection process. This data is collected for alternative purposes including but not limited to government and accreditation reporting requirements.

In recognition of the value of classroom learning, MS in Business Analytics and AI features six modules of intensive class time. There are no online classes, but there are approximately 20-25 hours of remote learning per week incorporated into the program to facilitate preparation, follow-up, and work on projects between modules. These distance learning periods outside of the in-class sessions are called the Pre-Module and Post-Module phases. They last approximately 4-8 weeks long and take place before and after each in-class session. You will receive preparatory materials, such as readings, academic exercises and assignments during the Pre-Module period. The Post-Module period is typically 4-6 weeks long immediately following the in-class session, and is designed to help you review and solidify concepts learned in class. It may include additional readings and/or deliverables in the form of an assignment, exam, case study, or group project.

Prior to starting the program, enrolled students will be required to acknowledge that they have communicated the time commitment the program requires to their employers.

MS in Business Analytics and AI graduates receive an NYU Master of Science degree from the Stern School of Business.

The six program modules take place at NYU Stern in New York and rotating global locations. To look at the most updated schedule, please visit this page.

Applicants may only apply to one NYU Stern program per start term. If you are not offered admission to the program or withdraw your application during the cycle, you may request to apply to a different program in the same admissions cycle. All requests must be sent to msbai@stern.nyu.edu and will be reviewed on a case by case basis. Your request must be approved before you begin your new application.

International students are welcome and encouraged to apply to the MS in Business Analytics and AI program. Admissions policies and tuition fees are the same for both international and non-international students. In order to facilitate visa processing, international students are encouraged to submit applications for each of the US-based modules as soon as they are put in touch with our dedicated MSBAi Program Manager. Please note that international students are responsible for the costs incurred for the SEVIS/visa fee applications throughout their tenure as students.

MSBAi is a STEM-designated degree program. This designation can be beneficial for students as there is a growing demand for STEM skill sets in today's market. However, please note that due to the part-time, modular nature of the program, students are not eligible for OPT. For a comprehensive list of NYU STEM programs, please click here.