PROVIDENCE, R.I. [Brown University] — As artificial intelligence begins to reshape industries and societies, the race to develop ethical frameworks for governing its use has become an urgent challenge. To help address this, Brown University has launched an online data science master’s degree program that integrates the technological side of the field with study of the societal impact that big data and machine learning systems can have.

The new 16-month online program was developed by leaders from Brown’s Data Science Institute and School of Professional Studies. With a focus on policy, governance and society, the online program expands on the foundational data science skills provided by the University’s campus-based master’s in data science program. The goal is to train future leaders who can handle vast volumes of data and do so with the greater good in mind.

“The world is paying close attention to AI now — and even closer attention to how we deploy AI systems in ways that are responsible and that center the needs and aspirations of all of us,” said Suresh Venkatasubramanian, interim director of Brown’s Data Science Institute and a professor of data science, computer science and of humanities. “AI governance — the set of practices, tools and policies that ensure that AI deployments align with our values and goals — is therefore crucial for any organization seeking to deploy AI at scale, whether it be in the private or public sector. The problem is that it’s not really taught in data science or computer science programs right now. You can acquire the skills you need separately, but not as a cohesive unit in the context of big data and AI. That is what our program seeks to provide.”

Students will graduate with a master of science degree and the technical knowledge and skills to ensure large data assets and AI systems are deployed responsibly, ethically and legally, Venkatasubramanian added. 

“In the types of roles graduates of this program will be qualified to fill, they’ll have the once-in-a-generation opportunity to shape the foundation of AI governance practices across the world,” he said.

The program consists of eight courses, culminating in a capstone project, and covers ethical issues including data privacy, biases and advanced topics like the often-hidden choices that shape how massive datasets are managed.

“This type of program is definitely where the field is going,” said Linda Clark, a senior lecturer at Brown and director of undergraduate studies at the Data Science Institute, who helped develop the curriculum. “The analogy I use is how cars were invented and then seat belts were invented to keep people safe in cars. The concept is the same here. We are using data science, and now we need policies and regulation to keep people safe and make sure it's used in ethical and responsible ways.”

Including Brown’s traditional master’s of data science, the online program complements a set of campus-based data science programs Brown offers, including undergraduate, graduate and certificate offerings. The program can be completed in as few as 16 months and was designed for professionals both with deep technical backgrounds and those without. 

To make the most of the flexible online learning environment, courses make use of both real-time discussions and components students can access on their own time, so participants can learn on their own schedules while also having the opportunity to engage with peers and faculty.

The first cohort is set to begin in September 2025, and program leaders are now accepting applications.