Master of Science in Computational Data Science

For Master of Science in Computational Data Science, tuition is 135,000 AED per year.

Computational data science applies programming, statistics, and large-scale computing methods to the analysis of complex datasets, and the Master of Science in Computational Data Science at Khalifa University of Science and Technology in Abu Dhabi, United Arab Emirates, is built around this combination. Students typically study machine learning, statistical modeling, algorithm design, high-performance computing, and data management, along with the mathematical foundations, including linear algebra, probability, and optimization, that support these methods. Coursework often emphasizes computational techniques for handling data at scale, such as distributed computing and parallel processing, in addition to more conventional statistical analysis and modeling. Many programs also apply these methods to specific domains such as engineering, environmental science, healthcare, or finance, giving students experience translating computational tools into insights for particular fields. As industries increasingly rely on large volumes of data to guide decisions, professionals who can combine strong computing skills with statistical reasoning are in demand across technology, energy, healthcare, and research organizations. Graduates of a computational data science master's program commonly pursue roles such as data scientist, computational analyst, machine learning engineer, or research scientist, and some continue toward doctoral study in computer science, applied mathematics, or a related computational field. The program is delivered in English, consistent with the international orientation of graduate education in science and engineering fields in the United Arab Emirates, where student and faculty communities typically draw from many countries. Based in Abu Dhabi, the capital of the United Arab Emirates and home to a growing research and technology sector, the program gives students exposure to an environment increasingly invested in advanced computing and data-driven innovation.