Data Science and Artificial Intelligence United Arab Emirates University

Overview

This cohesive, transdisciplinary curriculum, coupled with immersive internship experiences, equips students with a comprehensive understanding of data science and AI concepts, tools, and methods. The Data Science and Artificial Intelligence program places a strong emphasis on data science and AI, from foundational theories to advanced applications in machine learning, data mining, and predictive analytics. Students will learn to harness AI to uncover hidden patterns within data, enabling them to derive actionable insights and develop innovative solutions to real-world problems. This focus on AI, combined with a practical, hands-on approach, ensures that students develop a robust skill set to thrive in the rapidly evolving fields of data science and AI.

By bridging theory and practice, the BS DSAI program at United Arab Emirates University enables students to gain mastery not only in data analysis but also in AI techniques such as machine learning, natural language processing, and computer vision. These skills are critical for success in high-demand roles across industries. The program’s unique emphasis on interdisciplinarity and real-world problem-solving prepares students for the expanding range of opportunities in data science and AI. The rise of AI has fueled an explosive demand for professionals skilled in both data science and AI. While high-tech companies are at the forefront of this demand, sectors beyond technology including healthcare, finance, and government are increasingly seeking AI-savvy data scientists. 

Program Learning Outcomes

Upon successful completion of this program, students will be able to:

• PLO-1: Analyze complex problems and apply computing and other relevant disciplines to derive efficient data-science and AI solutions, in different application areas.
• PLO-2: Demonstrate the ability to combine computational and algorithmic thinking, with machine learning and mathematical optimization, to design, implement and evaluate data-science and AI based solution to meet a given set of requirements, in a wide range of application domains.
• PLO-3: Communicate and present effectively findings and analytical outcome, using data visualization tools, to all stakeholders in a variety of professional settings.
• PLO-4: Recognize professional responsibilities and make informed judgments in data-science, AI, computing practices, and/or business problems based on legal, ethical and privacy-preserving principles.
• PLO-5: Demonstrate professionalism, organizational skills, and leadership, as a member or leader of a team engaged in data-science and AI and computing activities.
• PLO-6: Apply effectively computing and data-science and AI theory, methodologies, techniques and tools throughout the data analysis lifecycle to extract useful knowledge and actionable insights for informed and sustainable data-science and/or business solutions, in line with the strategic plan and specified objectives of the stakeholders.