Master of Science in Interdisciplinary Data Science and Artificial Intelligence

The Master of Science in Interdisciplinary Data Science and Artificial Intelligence at New York University, Abu Dhabi combines computer science, statistics and domain-specific knowledge to address how large volumes of data can be analyzed and used to build intelligent systems. Data science involves collecting, processing and analyzing data to extract patterns and insights, while artificial intelligence focuses on designing algorithms and systems capable of performing tasks that typically require human reasoning, such as recognizing patterns, making predictions or processing language. Students in this master's program typically study machine learning, statistical methods, programming, data management and applications of artificial intelligence across different fields, reflecting the interdisciplinary framing of the degree. The program is taught in English at the Abu Dhabi campus of New York University, accredited by the UAE Commission for Academic Accreditation. Graduates of data science and artificial intelligence programs commonly pursue careers as data scientists, machine learning engineers, research scientists, data analysts or artificial intelligence specialists, working across industries including technology, finance, healthcare and government. The interdisciplinary nature of the field means graduates often apply data science and artificial intelligence techniques within a specific domain, whether that is business, science, health or public policy, combining technical skills with subject-matter expertise. As organizations across sectors generate increasing volumes of data and seek to apply artificial intelligence to improve decision-making and automate processes, demand for professionals trained in these interconnected fields continues to grow. Studying this subject in Abu Dhabi offers access to a research-oriented university environment within a city investing in technology and innovation, with the full master's program delivered in English.