Program Overview
The Bachelor of Artificial Intelligence and Data Science is an interdisciplinary undergraduate program designed to prepare students for the rapidly evolving world of intelligent technologies and data-driven innovation. The program integrates core foundations in computer science, mathematics, statistics, and computational intelligence to equip graduates with the knowledge and practical skills required to design, develop, and deploy advanced intelligent systems capable of learning, reasoning, prediction, and decision-making. Students develop competencies in areas such as machine learning, data science, deep learning, natural language processing, computer vision, intelligent automation, cloud computing, and ethical AI through a curriculum that emphasizes hands-on learning, applied projects, internships, and industry-relevant practical experiences. The program prepares graduates to pursue careers across sectors including healthcare, finance, smart cities, cybersecurity, education, business intelligence, and advanced technology industries.
To support specialized career pathways, the program offers two concentration options in the final stage of study: Machine Learning and Data Analytics, enabling students to develop advanced expertise in intelligent systems development or data-driven decision-making. The program prepares graduates to become innovative, ethical, and highly skilled professionals ready to shape the future of artificial intelligence and data science. Through hands-on learning, applied projects, internships, and industry-focused experiences, students gain the practical skills needed to design, develop, and deploy intelligent systems for real-world applications. Graduates are prepared to contribute to diverse sectors, including healthcare, finance, cybersecurity, education, business intelligence, and advanced technology.
Entry Requirements
General Requirements
Applicants seeking admission to the Bachelor of Science in Artificial Intelligence and Data Science must satisfy the University's general admission requirements, including:
- Completion of a recognized secondary school certificate or its equivalent with a minimum overall average of 70%.
- Applicants must not have been dismissed from another institution for academic or disciplinary reasons.
- Applicants must be medically, physically, and mentally fit to pursue university studies.
- Submission of the online admission application, all required supporting documents, and payment of the non-refundable application fee of AED 250 before the published deadline.
- Students will only be permitted to register for courses after completing all admission requirements and submitting the required documentation.
- Applicants admitted conditionally must satisfy all conditions within the specified period to maintain their enrollment.
In addition, applicants from the UAE Ministry of Education curriculum must achieve the following Mathematics requirement:
- Elite & Advanced Track: Minimum 70% in Mathematics.
- General Track and Other Curricula: Minimum 80% in Mathematics.
Applicants who do not meet the required Mathematics grade may be required to complete the designated preparatory Mathematics course during their first semester.
English Requirements
As this program is delivered in English, applicants must demonstrate English language proficiency by meeting one of the following requirements:
- Minimum 90% in the Grade 12 English subject; or
- IELTS Academic 5.0 or higher; or
- TOEFL ITP 500 or higher.
Applicants who do not satisfy the English language requirement may be granted conditional admission and will be required to successfully complete the University's Remedial English course during their first semester.
Specific Requirements
There are no additional program-specific admission requirements beyond the University's general admission requirements.
What Students Will Learn
The Bachelor of Artificial Intelligence and Data Science program is designed to prepare students for the rapidly growing demand for professionals who can develop, manage, and apply intelligent technologies that drive digital transformation across industries worldwide.
Through this program, students will learn to:
- Build a strong foundation in artificial intelligence, data science, and modern computing technologies that support innovation across multiple industries.
- Analyze complex computational and data-driven problems using intelligent algorithms, advanced programming techniques, and analytical thinking.
- Design, develop, and evaluate AI-driven systems and applications that solve business, industrial, and societal challenges.
- Develop practical expertise in machine learning, deep learning, neural networks, and intelligent automation for predictive and adaptive systems.
- Apply data analytics techniques to extract meaningful insights and support evidence-based decision-making using large and complex datasets.
- Understand and apply ethical, legal, and professional principles related to the responsible development and deployment of artificial intelligence technologies.
- Work effectively in multidisciplinary teams while developing leadership, project management, collaboration, and innovation skills.
- Communicate technical concepts clearly and professionally in academic, business, and research environments through both written and oral communication.
- Explore emerging technologies and develop research, problem-solving, and innovation capabilities that contribute to future advancements in artificial intelligence and data-driven technologies.
Program Learning Outcomes
Aligned with the ABET Computing Accreditation Commission Student Outcomes (SOs), graduates of the Bachelor of Science in Artificial Intelligence and Data Science program will be able to:
- Analyze complex computing problems and apply principles of computing and other relevant disciplines to identify solutions.
- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
- Communicate effectively in a variety of professional contexts.
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
- Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.
Career Path
- AI Engineer – developing intelligent applications and AI-powered solutions for technology companies, government organizations, and consulting firms.
- Machine Learning Engineer – designing and optimizing machine learning models for automation, prediction, and decision-making in technology, finance, and research organizations.
- Data Scientist – extracting insights from complex data to support innovation and strategic decision-making in business, healthcare, finance, and technology sectors.
- Data Analyst – analyzing and visualizing data to improve organizational performance in government agencies, financial institutions, and private enterprises.
- Natural Language Processing (NLP) Specialist – building intelligent language-based applications for digital platforms, technology firms, and research institutions.
- Robotics and Intelligent Systems Developer – creating autonomous and intelligent systems for manufacturing, robotics, logistics, and smart technology organizations.
- AI Consultant – advising organizations on the adoption and implementation of AI solutions across consulting firms, technology providers, and public and private sector organizations.
- Predictive Analytics Specialist – developing forecasting and data-driven models to support business planning and operational efficiency in finance, healthcare, retail, and industry.
- AI Research Associate – contributing to the advancement of artificial intelligence and data science through research and innovation in universities, research centers, and technology laboratories.
