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

The MSBAi program follows a blended (hybrid) format, combining in-person learning with structured coursework completed remotely.

Students attend six required in-person modules in New York City and a global location, where classes are held full-time during the day (approximately 8:30 a.m. to 5:30 p.m. with some evening engagements). 

Between modules, students complete coursework through NYU Stern’s online learning platform. This includes assignments, readings, and group work, which can be completed on a flexible schedule. There are no required live online classes between modules.

Students should expect to spend approximately 20–25 hours per week on coursework during these periods.

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.

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.

We do not offer an online-only option for this program. To learn more about our schedule and format, visit our website here. To view NYU Stern’s online programs, please see here.

No. The NYU Stern MS in Business Analytics and AI (MSBAi) program is offered exclusively in a part-time, modular format designed for working professionals. Students attend six intensive modules over the course of one year, allowing them to continue working full-time while completing the program.

Yes, the NYU Stern MS in Business Analytics and AI (MSBAi) is a STEM-designated degree. However, due to the program’s part-time, modular format, students are not eligible for OPT.

The MSBAi program is designed to sit at the intersection of business strategy and advanced analytics.

While students learn technical skills such as programming and machine learning, the program emphasizes:

• Applying analytics and AI to business decision-making
• Translating data insights into actionable strategy
• Understanding organizational and managerial impact

This makes it particularly well-suited for professionals who want to lead data-driven initiatives, rather than focus solely on technical model development.

The MSBAi program sits at the intersection of business strategy and advanced analytics, offering a distinct alternative to both MBA and data science degrees.

• Compared to an MBA:
  An MBA provides broad business leadership training across functions such as finance, marketing, and management.
  MSBAi is more specialized, focusing on how to use data and AI to inform decisions, making it ideal for professionals who want to deepen their analytical capabilities rather than pursue a general management curriculum.
• Compared to an MS in Data Science:
  Data science programs are typically more technical and focus on areas such as software engineering, algorithms, and model development.
  MSBAi emphasizes application over pure technical depth, teaching students how to apply analytics and AI in business contexts, interpret results, and drive strategic decisions.

In short, MSBAi is designed for professionals who want to bridge the gap between technical analytics and business impact.

The NYU Stern MS in Business Analytics and AI (MSBAi) program is designed for working professionals who want to apply analytics and AI to real business decisions.

Several features differentiate MSBAi from other programs:

• Part-time, modular format: Students continue working while completing six intensive in-person modules, applying what they learn in real time
• Focus on AI in business: The curriculum integrates modern AI topics—including machine learning, causal inference, and emerging AI applications—within a business decision-making context
• World-class faculty: Courses are taught by NYU Stern’s senior, full-time faculty—who are globally recognized researchers and thought leaders—alongside experienced industry practitioners. This combination ensures students learn both cutting-edge theory and practical applications in areas such as causal inference, generative AI, applied statistics, and business analytics
• Global experience: The program includes an international module, providing exposure to different markets and business environments
• Balanced skill set: Students develop capabilities across data engineering, analytics, and storytelling, bridging technical and strategic skills
• Diverse cohort: Students come from a wide range of industries and career stages—including early-career professionals and more experienced leaders—creating a dynamic learning environment with rich perspectives and peer learning

Rather than preparing students for a single technical role, the program is designed to help professionals use data and AI to drive impact within their organizations.

The MSBAi program is accredited by AACSB.

This program has only one intake per year in May. Therefore, we do not run on a spring/fall schedule. Please see our Admissions page for more information. 

The MSBAi curriculum includes hands-on experience with tools commonly used in business analytics and AI, including:

• Python
• R
• SQL
• Tableau
• Cloud and big data tools such as Google Cloud Platform and PySpark

Students are exposed to both open-source and commercial technologies, reflecting real-world business applications.
 

The MSBAi curriculum focuses on four core areas of AI in business:

• Descriptive analytics (understanding and visualizing data)
• Predictive modeling (forecasting and machine learning)
• Causal inference (understanding impact and decision-making)
• Prescriptive analytics (optimization and simulation)

Students also build skills in data engineering, data analytics, and data storytelling, creating a well-rounded foundation for data-driven decision-making.

The global module immerses students in a unique global hub for business analytics, AI, and innovation. It includes company visits, guest speakers from leading regional organizations, and networking opportunities with local professionals, offering valuable insights into international business, analytics, and AI  practices in a very different global market.

In recognition of the value of classroom learning, MS in Business Analytics and AI features six modules of intensive, in-person class sessions. Between these class sessions (modules,) there are no synchronous online classes, but there are approximately 20-25 hours of asynchronous remote learning per week. These distance learning periods outside of the in-class sessions are called the Pre-Module and Post-Module phases. They are 4-8 weeks long and take place before and after each module. You will receive preparatory materials, such as readings, academic exercises and assignments during the Pre-Module period. The Post-Module period is is designed to help students 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.

Organizations create massive collections of data and increasingly, decision-makers and systems rely on intelligent technology to analyze data systematically to improve decision-making. Most of the courses in the MSBAi program curriculum brings together the power of data and AI, from using automation to identify interesting patterns in data to using deep learning to develop accurate insights and predictions. For example, courses like Business Analytics and AI and Big Data focus on in-depth hands-on exploration of various cutting-edge information technologies used for big data analytics. The Machine Learning course provides exposure to state-of-the-art methods and applications of supervised and unsupervised machine learning. Modern Artificial Intelligence introduces students to recent developments through the coverage of fundamental AI concepts, practical business applications and hands-on experiences with modern AI frameworks.

The NYU Stern MS in Business Analytics and AI (MSBAi) program is rigorous and technical, but it is designed to support students with a range of backgrounds—including those without prior coding experience.

Students work with tools and languages commonly used in analytics and AI, such as Python, R, SQL, and data visualization platforms like Tableau, as well as cloud and big data technologies.

The curriculum combines:

• Foundational technical skills (e.g., statistics, programming, databases)
• Advanced analytical methods (e.g., machine learning, optimization, causal inference)
• Business applications that focus on using data and AI to drive decision-making

While some students enter with technical experience, others build these skills during the program. Courses are hands-on and application-focused, helping students develop the ability to work with data, collaborate with technical teams, and translate analytical insights into business strategy.

Overall, the program is best suited for professionals who are comfortable engaging with quantitative material and motivated to develop technical skills in a business context.
 

Yes. The MSBAi curriculum includes dedicated coursework in machine learning and modern AI, as well as exposure to advanced topics such as deep learning, recommender systems, and predictive modeling.

Students learn how to apply these techniques to real business problems, including forecasting, customer analytics, and decision optimization. The program emphasizes both understanding the methods and knowing when and how to use them effectively in a business context.
 

The MSBAi Admissions Team organizes virtual admissions events throughout the year, including information sessions, Q&As, Alumni Panels, and more. Please visit our admissions 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.

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.

No. The MS in Business Analytics and AI program is designed for current working professionals. To be eligible, applicants must meet the following criteria:

• A completed bachelor's degree with a strong Grade Point Average (there is no specific GPA requirement)
• Full-time, professional work experience after completing your undergraduate degree (internships and trainee positions are not considered)
• Demonstrated academic preparedness through prior coursework, professional experience, and/or certifications

If you are still completing your undergraduate degree or do not yet have full-time, post-undergraduate work experience, we encourage you to revisit the program once you have gained the necessary experience.

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

Official transcripts are required. While we can accept unofficial transcripts as part of your application for initial assessment purposes, we must receive your official transcripts directly from any institutions from which you hold a completed degree in order for you to enroll in the MSBAi program. Official transcripts should be released directly to our office at msbai@stern.nyu.edu.

We must receive at least one professional recommendation through the online recommendation form. The recommendation must be completed by your current or most recent previous supervisor. If you are self-employed, you may invite a current or recent client to complete the recommendation. 

While only one recommendation is required, you are welcome to invite additional recommenders to submit recommendation forms on your behalf. Please note that recommendations from professors, coworkers, family members, and friends will not satisfy our recommendation requirements.

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.

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.

The MS in Business Analytics and AI program is designed for working professionals who want to strengthen their ability to use data, analytics, and AI to drive business decisions and organizational impact.

Students come from a broad range of industries, including financial services, healthcare, technology, consumer products, consulting, energy, pharmaceuticals, manufacturing, and the nonprofit sector. While participants represent different career stages, they share a desire to leverage analytics and AI to solve complex business challenges, improve performance, and identify new opportunities for growth.

The MSBAi program is designed for working professionals at different stages of their careers who want to strengthen their ability to use data and AI to drive business decisions.

We look for candidates who:

• Have full-time professional experience
• Are interested in applying analytics and AI in a business context
• Demonstrate strong problem-solving skills and intellectual curiosity
• Want to enhance their impact or transition into more data-driven roles

Students come from a wide range of industries, contributing to a collaborative and globally diverse learning environment.
 

Students in the NYU Stern MS in Business Analytics and AI (MSBAi) program bring a broad range of professional experience, with an average of approximately 8 years.

While many students are mid-career professionals, the cohort also includes individuals who are more senior as well as high potential candidates who are earlier in their careers, creating a dynamic classroom environment with diverse perspectives across industries and roles.
 

No, a technical or coding background is not required to apply.

The MSBAi program is designed for professionals with a range of experience levels. Some courses introduce foundational skills in areas such as programming (R and Python), statistics, and databases (SQL).

At the same time, students are exposed early to analytical concepts such as predictive modeling and data analysis in a business context.

Students should be comfortable working with quantitative material and prepared to engage with technical concepts and develop new skills throughout the program, even if they are new to coding.
 

No, prior experience in analytics or data science is not required.

The program is designed for professionals from a variety of backgrounds. Some courses introduce foundational skills in areas such as statistics, programming, and data analysis, while others focus on applying these tools to real business problems.

Students should have an interest in data-driven decision-making and be prepared to engage with analytical concepts.
 

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.

Generally the TOEFL score is not required for individuals who have received a degree from a university where the instruction was in English or use English in the workplace. However, the Admissions Committee reserves the right to request a TOEFL score if they feel they need one in order to make a fully informed admissions decision. 

We do not accept IELTS or Duolingo scores.

NYU sponsors international students for F-1 student status, and F-1 status is the most common type of status used to study in the United States. F-1 status is for Stern academic students who are pursuing a degree or certificate and will only last for the duration of the in-class module and/or semester. Students apply for an I-20 in order to receive an F-1 visa. Please note that the visa will not be valid for the entire year and is only valid for the times listed on each I-20. International students may apply for one I-20 document to support an F-1 visa for for Modules 1-3 but will need a separate I-20 document for the subsequent US module. As such, students would not be eligible for OPT.

The NYU Office of Global Services (OGS), in partnership with the Academic Affairs and Student Services team, can help determine if students will need an F-1 visa for the program and if so, will help them through the I-20 process for each US-based module. Please note that international students are responsible for the costs incurred for the SEVIS/visa fee applications throughout their tenure as students.

Most MSBAi international students finance the program through a combination of company sponsorship, private loans, and personal finances. Private loans are non-federal loans that are offered through lenders such as banks or credit unions. Most private lenders require non-U.S. citizens and permanent residents to apply with a U.S. based co-signer. 
Some students are also successful in receiving financial support from their employers. For students who are planning on having these discussions, we are happy to provide a template to help them frame the program and its benefits.

We require transcripts to be officially translated. This can be done through an official translator, but the documents must be notarized.

No. The MSBAi program does not qualify for Optional Practical Training (OPT). While the program is STEM designated and open to international students, please note that due to the part-time, modular nature of the program, students are not eligible for OPT.

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

While enrolled in the MSBAi program, working professionals can access NYU Stern’s Working Professionals Careers team for individualized coaching and development. Students may schedule career coaching appointments and participate in workshops on résumé reviews, interview preparation, salary negotiations, networking, and personal brand management. The team does not operate as a placement office; instead, it partners with you as a coach to help refine goals, leverage experience, and maximize the value of your professional network.
After graduation, MSBAi alumni gain continued access to career resources offered through the Working Professionals Careers team, including:

• Career coaching  
• Professional development workshops
• Job postings and online career resources
• Support with salary negotiations and performance appraisal preparation

In addition to the career-related resources outlined here, which are available to all NYU Stern alumni, our MSBAi alumni have access to the greater Stern Lifelong Learning program as well. For example, MSBAi alumni are exclusively eligible to audit future MSBAi courses (beginning with Module 2), as well as to audit the same courses as Full Time and Part Time MBA students.

Students entering the MSBAi Class of 2028 (beginning May 2027) and future cohorts are not eligible to borrow through the Federal Direct Graduate PLUS Loan program, which was discontinued for new borrowers effective July 1, 2026.

Eligible graduate students may still borrow through the Federal Direct Unsubsidized Loan program, subject to the annual and aggregate federal borrowing limits established by the One Big Beautiful Bill Act. Students whose educational expenses exceed these federal loan limits may wish to explore additional financing options, including private loans.

NYU Stern continues to evaluate financing resources and encourages students to review the latest information provided by the Office of Financial Aid. Current guidance on federal loans is available on the NYU Stern Financial Aid website.

The MSBAi program is designed to deliver both immediate and long-term return on investment.

Because students remain employed while enrolled, many are able to apply what they learn in real time—using analytics and AI tools to drive impact within their current roles and organizations.

Graduates are well positioned to:

• Advance within their current organization
• Transition into more data- and analytics-focused roles
• Expand their responsibilities to include AI and data-driven strategy

In addition to career progression, students gain a highly transferable skill set in data analysis, machine learning, and decision-making, which can be applied across industries and functions.

To see how graduates have leveraged the program in their careers, we encourage you to explore our Alumni Profiles page.

We offer partial merit-based scholarships ranging from $3,000-$5,000 to selected applicants receiving minimal or no financial sponsorship from their employer.  All scholarships are individual, one-time awards and are applied towards tuition payments.  Scholarship decisions are made on an overall review of the formal application and its required components and the interview. Applicants will automatically be considered for all available scholarships and will be notified in the offer of admission if selected. 
 
MSBAi Dean's Scholarship
We are now awarding an MSBAi Dean's Scholarship, a merit-based scholarship awarded based on a range of criteria including prior academic achievement, professional accomplishments, and demonstration of leadership and teamwork abilities. 

We do not have any fellowship or graduate assistant opportunities.