NYU Stern Master of Science in Business Analytics and AI

NYU Stern Master of Science in Business Analytics and AI

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NYU Stern Master of Science in Business Analytics and AI Program

The NYU Stern MS in Business Analytics and AI program is a one-year, part-time, global degree divided into six onsite modules that take place in New York and in rotating global locations. Bridging the gap between data science and strategy, the MS in Business Analytics and AI program provides experienced professionals with a rare and valuable data-driven business perspective that can be immediately implemented upon graduation.

NYU Stern MSBAi Virtual Information Session 06/10/2026

RSVP TODAY to save your seat ▸ bit.ly/3PvoAf8

On June 15 at 12 PM ET, the MSBAi Admissions Team is hosting a virtual info session to help you figure out if MSBAi is the right next step for you. You’ll learn about how to join the Class of 2028 plus:

▸ ROI of the program
▸ Integration of AI in the curriculum
▸ Lifelong career resources through NYU Stern

You’ll also have the chance to ask your questions live to MSBAi Admissions Director, Bronwen Sanders.

NYU Stern MSBAi Virtual Information Session  

06/03/2026

As we step into summer, we’re excited to announce the first early-action deadline for the MSBAi Class of 2028 → Apply by July 27 for an expedited review of your application materials!

If you have any questions about the program or application, we invite you to join us at one of our upcoming virtual info sessions:
RSVP for June 15 → bit.ly/3PvoAf8
RSVP for June 29 → bit.ly/4f6dzey

Photos from NYU Stern Master of Science in Business Analytics and AI's post 05/27/2026

Welcome, MSBAi Class of 2027! The newest cohort for the MS in Business Analytics and AI program joined us on campus earlier this month to kick off Module 1. Here’s a quick recap: After arriving in New York and getting to meet one another at Orientation, the students were also welcomed to NYU Stern by Professor Anindya Ghose, our MSBAi Academic Director, and by Neha Singhal, Assistant Dean, Executive Degree Programs. After a full week of in-person classes, including Intro to Analytics and AI and Digital Marketing Analytics, the cohort squeezed in time for bonding while exploring the city.

We’ll continue posting updates from the Class of 2027, so follow along to see their journey!

Are we all just unpaid AI trainers? 05/20/2026

MSBAi Professor Panos Ipeirotis was interviewed recently by Marketplace about the unwitting ways that people are often training AI by interacting with content on the Internet. Listen to the full interview here:

Are we all just unpaid AI trainers? The ways businesses — and humans — are training artificial intelligence aren’t always easy to spot.

05/15/2026

Congratulations to our incredible MSBAi Class of 2026 grads!

On behalf of the MSBAi Admissions Team and the MSBAi community at NYU Stern, we are so excited for what the next chapter has to offer you all, and wish you continued success!

05/06/2026

Happening Today: The NYU Stern Fubon Center for Technology, Business and Innovation is hosting an in-person panel event called “Trust at Scale: Who Owns the Facts in the AI Era?” RSVP here → luma.com/r9a5e294

Today at 6:15 PM EST at NYU Stern, the Fubon Center will host a debate moderated by MSBAi Professor and Fubon Director, Arun Sundararajan, centered on the questions: “Who controls the information powering AI? Who profits from it? Who is responsible when it breaks?”

A reception and networking hour will follow, so RSVP now to save your seat!

The Signal Boost 05/04/2026

A warm welcome to the MSBAi Class of 2027! We are so thrilled to have you join us for your very first module, right here at NYU Stern.

We look forward to sharing updates from your time together in the program! In the meantime, we are incredibly proud to share the launch of The Signal Boost, a platform founded by two soon-to-be MSBAi alums from the Class of 2026, Juan Manuel Steverlynck and Sergio Arguelles. In their inaugural article, they chat with MSBAi Academic Director Anindya Ghose about where AI is creating real value, what signals to look for when evaluating AI initiatives, and more →

The Signal Boost NYU Stern MSBAi Data Intelligence Platform

04/22/2026

Spotlight Series: MSBAi Faculty in the Media

For our final spotlight, we are thrilled to showcase Professor Anindya Ghose, who serves as the Academic Director of the MSBAi program. Prof. Ghose teaches Digital Marketing Analytics, where MSBAi students learn about the impact of Internet-based social media and new ad technologies. He joined NYU Stern in 2004, and in 2024, published his second book Thrive: Maximizing Well-Being in the Age of AI which highlights his cutting-edge research on the positive effects of AI regulation in today’s AI-powered world.

An expert in digital marketing and E-commerce, he’s been profiled in Forbes and Financial Times, and featured in outlets like Bloomberg, The New York Times, and more. Check out the links below!

Bloomberg → bit.ly/41LBW9C
ANA Magazine → bit.ly/42kuRwN
The Daily Upside → bit.ly/3QS1wap
Financial Times → bit.ly/4exDMCi

04/15/2026

Spotlight Series: MSBAi Faculty in the Media

We’re excited to spotlight Professor Seamans for today’s feature! Prof. Seamans, who joined NYU Stern in 2009, teaches our MSBAi students about Data-Driven Decision Making.

An expert in entrepreneurship and corporate strategy, Prof. Seamans focuses his research on the economic impact of AI, robotics, and similar advanced technologies. He’s been published in leading academic journals, and interviewed by outlets like Forbes, The Wall Street Journal, and The New York Times. Check out the links below!

The Wall Street Journal → bit.ly/3Q6EPiB
Yahoo Finance → bit.ly/4cpSKaX
NPR’s Planet Money → bit.ly/480FvMA
The New York Times → bit.ly/4cIRH7d

04/10/2026

NEW Spotlight Series: MSBAi Faculty in the Media

This week, we’re highlighting Professor Arun Sundararajan, who teaches Network Analytics in the MSBAi program. He joined NYU Stern in 2000 and is a leading expert on the economics of digital goods, with current research focused on AI, including data sovereignty, platform-enabled change, and intellectual property.

He’s been featured in outlets like Wired and ABC News, and his research has been published on leading platforms like World Economic Forum. Check out the links below!

CNN → bit.ly/4swp6Y2
Wired → bit.ly/4vAuko7
ABC News → bit.ly/4t30bMm
World Economic Forum → bit.ly/4cwLvPF

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