The country is developing a dynamic knowledge-based economy that will not only be an importer of knowledge but a major producer. NYU Abu Dhabi is developing human capacity in this critical area of science and technology.
Integrating data, technology, and intelligence to shape the future.
The MSc in Interdisciplinary Data Science and Artificial Intelligence at NYU Abu Dhabi is a rigorous, research-intensive two-year program designed to develop specialized expertise, advanced data science skills, and artificial intelligence knowledge.
Rooted in an interdisciplinary approach, the program integrates knowledge from Computer Science, Mathematics, Engineering, Social Sciences, and the Arts and Humanities, equipping students to tackle complex, real-world challenges. Students will gain access to exclusive partnerships with government and industry leaders in Abu Dhabi and the Gulf region, offering research collaborations, professional development opportunities, and enhanced career pathways in academia, industry, and the public sector.
Whether advancing cutting-edge AI research or driving data-driven innovation, graduates of this program will shape the future of AI and Data Science on a global scale.
Equipped for the Future
Students will be prepared for both PhD study and high-impact industry and government roles.
Specializations
Specializations for this program include:
- Health Informatics
- Urban Mobility and Logistics
- Human-Machine Interaction
- Data Science and Economics
- Computational Social Science
- Arabic Natural Language Processing
- Mathematical Foundations and AI theory
Research-intensive
Students engage in research from the start:
- A full-year thesis on either academic or industry problems.
- Annual two-week research workshops, culminating in a hackathon.
- A regular data science seminar bringing speakers from academia and industry.
- Opportunities to work closely with faculty on real, interdisciplinary research questions.
Built-in Global Network
Connecting students with NYU faculty in New York or Shanghai. The program features visiting faculty and international speakers, and research placements may involve collaborations with regional and international partners.
