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Program Structure

The MSc in Interdisciplinary Data Science and Artificial Intelligence is a two-year, full-time, in-person program delivered on the NYU Abu Dhabi campus. To earn the degree, students must complete 10 courses (36 credits) and a thesis, designed to provide both a strong foundation in data science and AI while having the flexibility to explore interdisciplinary specializations.

Balanced Curriculum

Students will benefit from a balanced curriculum that combines foundational data science and artificial intelligence coursework with the flexibility to explore a personalized area of interest under the guidance of faculty experts in globally significant applied topics.

Student-centered

The program offers a student-centered experience with mentorship throughout the program and is distinguished by a year-long master’s thesis. This project allows the student to forge a deep knowledge base on a specific research area. 

Exposure to Emerging Trends

The program also provides unique exposure to emerging trends through a Data Science and AI Seminar series and an immersive Winter School, where students engage with cutting-edge research and industry applications in AI and Data Science.

Structure

Requirements  Course Details
1 required course
0 credits		 Data Science for Everyone Bootcamp
5 required courses
15 credits		 Probability and Statistics; Machine Learning; Introduction to Data Science; Introduction to Artificial Intelligence; Ethics and Legal Considerations for Data Science
5 elective courses
15 credits		 Advanced electives
2 Master's Thesis
6 credits
 Research project at NYUAD or in collaboration with industry partners
2 Winter School courses
0 credits		 Two required courses
4 Data Science and AI Seminar
0 credits		 Four required courses

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.