With artificial intelligence (AI) transforming industries and influencing decision-making on a global scale, the need for ethical frameworks surrounding its use has never been more critical. To address this growing concern, Brown University has introduced a new online master’s in data science AI governance program, aimed at equipping students with the skills to handle data responsibly while understanding the societal and ethical implications of AI deployment.
The 16-month program was developed by Brown’s Data Science Institute and School of Professional Studies. It integrates technical data science training with studies in policy, governance, and the societal impact of big data. This makes the program uniquely suited for professionals looking to not only understand AI from a technical perspective but also shape its application in a responsible manner.
Training Future AI Leaders in Governance
As AI continues to advance, ethical governance becomes paramount. Brown’s new master’s in data science AI governance program seeks to bridge the gap between technical expertise and the ethical frameworks necessary to deploy AI systems responsibly. Suresh Venkatasubramanian, interim director of Brown’s Data Science Institute, emphasizes the need for such a program in today’s AI-driven world.
“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 Venkatasubramanian. He highlights the importance of AI governance— a combination of tools, policies, and practices that ensure AI aligns with ethical values and societal goals. This program aims to teach these principles cohesively, an aspect that is currently missing in traditional data science and computer science programs.
Venkatasubramanian explained that graduates from this program will play pivotal roles in defining AI governance frameworks worldwide. With the responsibility to ensure that large datasets and AI technologies are deployed ethically, these graduates will be well-positioned to influence both public and private sector AI implementations.
Internal Linking: Learn more about data science governance in our recent article on AI in business.
A Comprehensive Curriculum for Ethical AI Development
The master’s in data science AI governance at Brown consists of eight courses that cover a range of essential topics, from technical data science skills to the ethical issues surrounding AI. Linda Clark, senior lecturer at Brown’s Data Science Institute, who helped develop the curriculum, draws an analogy between AI and car safety to explain the program’s focus.
“The analogy I use is how cars were invented and then seat belts were invented to keep people safe in cars,” said Clark. “We are using data science, and now we need policies and regulations to keep people safe and ensure it’s used in ethical and responsible ways.”
In addition to technical coursework, students will engage in a capstone project that challenges them to apply their knowledge to real-world scenarios, solving issues related to AI governance, data privacy, and bias in machine learning systems. The capstone project helps students synthesize the technical and ethical aspects of the program, ensuring they graduate with a holistic understanding of responsible AI deployment.
External Linking: Discover more about Brown’s AI initiatives at Brown University News.
Flexible Learning for Professionals
Designed to accommodate both technically proficient professionals and those new to data science, Brown’s online master’s in data science AI governance provides a flexible learning environment. The program uses a hybrid model of real-time discussions and on-demand learning, allowing students to engage with course material at their own pace while still collaborating with peers and faculty. This structure makes the program accessible to working professionals seeking to upskill or pivot into the growing field of AI governance.
Brown’s emphasis on ethical AI governance sets it apart from traditional master’s programs, offering a curriculum that prepares students to lead in fields where AI technologies are increasingly being adopted.
Internal Linking: For more insights into how AI is changing data governance, check out our AI trends in data science article.
Shaping the Future of AI Governance
As industries across the globe adopt AI, the need for leaders trained in both data science and policy has become evident. Graduates from Brown’s program will be uniquely positioned to shape the ethical deployment of AI systems, ensuring these technologies are used responsibly and legally. With its interdisciplinary approach, the master’s in data science AI governance not only offers technical expertise but also emphasizes the importance of developing policies that protect individual privacy, combat bias, and promote transparency.
“The roles graduates of this program will fill offer a once-in-a-generation opportunity to shape the foundation of AI governance practices across the world,” said Venkatasubramanian. With a balanced focus on both policy and technology, the program ensures that students are well-equipped to address the ethical challenges posed by AI at scale.
Conclusion
Brown University’s new master’s in data science AI governance program represents a critical step forward in educating professionals who will shape the future of AI. By integrating data science skills with ethical governance, the program aims to prepare leaders capable of responsibly deploying AI systems. The first cohort will begin in September 2025, and applications are now being accepted.
This innovative program reflects the growing recognition of the need for AI governance and the importance of training future leaders to prioritize ethical considerations in their work.
This new program marks an exciting opportunity for those looking to lead in the responsible development and deployment of AI. Interested individuals can explore more details and apply through the official Brown University website.
