Liwa University (Formerly: Liwa College, Liwa College of Technology)

Master in Data Science and Artificial Intelligence

Abu Dhabi, United Arab Emirates Taught in English Open to international students

About the Program

Liwa University, formerly known as Liwa College and Liwa College of Technology, offers a Master in Data Science and Artificial Intelligence in Abu Dhabi, taught in English. This field combines statistics, computer science, and mathematics to extract insight from data and build systems capable of automated reasoning and prediction. Typical subjects include machine learning, statistical modeling, data mining, big data processing, programming for data analysis, and the algorithms that underpin artificial intelligence systems such as neural networks and natural language processing. Students learn to work with large and often unstructured datasets, applying techniques for data cleaning, visualization, and interpretation alongside the mathematical foundations of probability and linear algebra that support modern AI methods. Courses commonly address the practical deployment of models, including considerations of scalability, computing infrastructure, and the ethical and privacy implications of automated decision-making. Many programs also introduce students to specialized applications of data science and AI across industries such as finance, healthcare, logistics, and marketing, alongside the software tools and programming languages most widely used in the field. Graduates of data science and artificial intelligence programs pursue roles including data scientist, machine learning engineer, AI researcher, business intelligence analyst, and data engineer, across technology firms, financial institutions, government agencies, and research organizations. The discipline continues to expand as more sectors adopt data-driven and automated approaches to decision-making. Based in Abu Dhabi, in the United Arab Emirates, and delivered in English, the program is positioned within a country investing in technology and digital transformation initiatives, offering relevant regional context for students pursuing advanced study in this area.

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