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MSc Interdisciplinary Data Science and Artificial Intelligence

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.

Program Overview

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.

Equipped for the Future

Students will be ready to pursue both PhD studies and high-impact industry and government roles. Graduates of this program will shape the future of AI and Data Science on a global scale.

Program Structure

The program includes:

• 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

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, with opportunities to work on real-world problems and collaborate with faculty and industry partners.

Built-in Global Network

The program features visiting faculty and international speakers, and research placements may involve collaborations with regional and international partners.

Faculty

The program is led by a team of experienced faculty, including:

• Pierre Youssef, Program Head of Mathematics; Associate Professor of Mathematics; Global Network Associate Professor of Mathematics, Courant Institute of Mathematical Sciences
• Aaron Kaufman, Assistant Professor of Political Science, NYU Abu Dhabi; Global Network Assistant Professor of Political Science, Faculty of Arts and Science, NYU
• Hanan Salam, Assistant Professor of Computer Science
• Saif Jabari, Associate Professor of Civil and Urban Engineering, NYU Abu Dhabi; Global Network Associate Professor of Civil and Urban Engineering, NYU Tandon

Learning Outcomes

The program is designed to equip students with the knowledge, skills, and expertise needed to succeed in a rapidly changing world. Graduates will be prepared to pursue careers in academia, industry, and government, and to make a positive impact in their chosen field.