Bachelor of Science in Data Science and Artificial Intelligence

Data and artificial intelligence are driving transformative changes across every sector of the economy, unlocking new possibilities for solving complex challenges. The interdisciplinary BS in Data Science and Artificial Intelligence (DSAI) program is designed to prepare students for this data-driven, AI-enhanced world by integrating the three pillars of data science computational, mathematical, and statistical thinking with a strong foundation in AI. 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 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 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. In alignment with the UAE’s digital transformation goals, the BS DSAI program addresses this critical need, equipping graduates with the skills necessary to excel in a knowledge and AI-driven economy. Graduates of the DSAI program will emerge as well-rounded professionals, capable of leveraging both data science and AI to drive innovation and solve complex problems. With these advanced skills, they will be prepared to take on leading-edge roles in data science, AI, and data analytics across diverse industries and sectors globally.

Program Objectives

• PEO-1: Contribute to the development of a globally competitive UAE taskforce with the critical thinking. Mathematics skills and data science and AI competencies required to serve the UAE government agencies’ needs and meet market demand.
• PEO-2: Increase the UAE’s multidisciplinary data science and AI capacity, with the depth and breadth needed for sustained leadership in a wide range of application domains and career fields, critical to all sectors of the economy.
• PEO-3: Produce productive, workplace-ready talented graduates, with highly sought-after data science and AI skills, grounded in strong computational, mathematical and statistical foundations. and commitment to life-long learning, including the ability to communicate effectively, identify opportunities and assess risk, and perform efficiently in team settings.
• PEO-4: Demonstrate sound professional practices and strong commitment to the highest standards of ethical conduct, consistent with social and cultural norms and mindful of environmental issues.
• PEO-5: Develop in-depth multidisciplinary knowledge and gain practical hands-on experience to adapt to future advances in data-science and AI key technologies and remain an effective contributor to a prosperous and sustainable UAE economy.

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.

Degree Requirements

Required Credit Hours : minimum 120 hours

General Education (Req. CH:33) Cluster 1: Skills for the Future (Req. Ch:15)

Cluster 2: The Human Community (Req. Ch:12)

Cluster 3: The Natural World (Req. Ch: 6)

Major Requirements

Advanced Computing Thinking - Compulsory Requirements

Specialization Electives

Supporting Requirements