Overview
The Bachelor of Science in Artificial Intelligence program emphasizes through a combination of theoretical learning, practical programming, and hands-on projects, students will develop skills in machine learning, computer vision, natural language processing, and ethical AI. The program emphasizes real-world applications, innovation, and critical thinking to prepare graduates to lead in a rapidly evolving technological landscape.
Benefits- Specialized Knowledge in AI and Data Science: Gain deep expertise in areas like machine learning, neural networks, generative AI, and natural language processing, preparing you for leadership roles in technology, business, and research.
- Hands-On Learning: Work with real-world datasets, AI tools, and development platforms. Participate in a professional internship to bridge theory and practice in an applied setting.
- Capstone Projects: Solve real-world problems through a final-year project that encourages innovation, teamwork, and practical AI solution development.
- Global Relevance: The curriculum addresses global trends in AI adoption across sectors like healthcare, finance, transportation, and education—equipping graduates with a competitive edge in the international job market.
- Ethical and Responsible AI Focus: Learn how to design intelligent systems that are fair, inclusive, and aligned with social and ethical values.
- Flexible Electives: Customize your learning with advanced topics such as speech recognition, sentiment analysis, 3D vision, and multilingual AI to align with your career goals.
- Faculty-Led Research Opportunities: Collaborate with experienced faculty on research in areas like AI in healthcare, conversational agents, and reinforcement learning.
- Entrepreneurial Skills: Develop innovation and entrepreneurship skills to create your own AI-driven solutions or launch a tech startup in the AI space.
Graduates of the BScAI program will be well-equipped for a variety of roles in both established companies and startups across industries, including:
- AI Engineer – Design and deploy intelligent systems using machine learning and automation.
- Machine Learning Specialist – Develop predictive models and algorithms across various domains.
- Data Scientist – Analyze large datasets to extract insights and support business decision-making.
- Computer Vision Engineer – Work on applications involving facial recognition, object tracking, and more.
- Natural Language Processing (NLP) Specialist – Build AI systems that understand and generate human language.
- Conversational AI Developer – Create smart chatbots and virtual assistants.
- AI Research Assistant – Contribute to cutting-edge innovations in academic or industrial AI labs.
- Tech Entrepreneur – Launch your own AI-based product, service, or startup.
Accreditation
The program was awarded accreditation by the Ministry of Higher Education and Scientific Research, UAE, in April 2025.
Programme Structure
Mathematics & Statistics Core
Calculus I
Calculus II
Linear Algebra
Discrete Mathematics
Probability and Statistics
Discrete Mathematics for Computing Science
Scientific Computing
Artificial Intelligence & Computing Core
AI and Modern Life
Introduction to Artificial Intelligence
Data Engineering
Introduction to Machine Learning
Generative AI
Deep Neural Networks
Introduction to Computer Vision
Introduction to Natural Language Processing
Artificial Intelligence on the Cloud
Reinforcement Learning
Agentic Artificial Intelligence
Conversational AI and Dialogue Systems
Elements of Computing
Introduction to Computing Science I
Introduction to Computing Science II
Information Structures
Communication Networks
Operating Systems
Security Principles and Practices
Algorithms I
Compulsory Professional Practice Core
AI Project Management
Ethics for Computing Professionals
Fundamentals of Innovation and Entrepreneurship 1 & 2
Entrepreneurship 1 & 2
Critical Thinking and Problem Solving
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Dubai, United Arab Emirates
Disciplines
Artificial Intelligence View 23 other Bachelors in Artificial Intelligence in United Arab EmiratesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
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Other requirements
General requirements
General University Admission Requirements
a) Prospective students are welcome to apply for admission for CUD undergraduate programs if they:
- Are holders of UAE secondary education certificate with passing grade in all subjects.
- Fulfil specific requirements to the programs which are given below.
b) Holders of a Non-UAE High School Certificate will be processed in accordance with Ministry of Higher Education and Scientific Research, UAE as follows:
- The High School certificate is valid for admission to a public university of the country in which it was issued.
- The High School certificate is obtained on completion of at least 12 years of schooling.
- British System: Completion of Year 13 / Grade 12 of schooling.
- Equivalency Certificate is Issued by Ministry of Education in the UAE.
- The High School Certificate is the highest level certificate if it is issued from a country that has two levels of High School Certificates.
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Tuition Fees
-
Domestic Applies to you
Applies to youCitizens or residents81949 AED / year≈ 81949 AED / year
Living costs
Dubai
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Artificial Intelligence Degree Program - BScAI.
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