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Canadian University Dubai/Programmes/Bachelor of Science in Artificial Intelligence

Bachelor of Science in Artificial Intelligence

BScUndergraduateComputer Science

About This Programme

The Bachelor of Science in Artificial Intelligence (BScAI) program at Canadian University Dubai is designed to meet the growing global demand for intelligent technologies that are transforming industries and everyday life. This forward-thinking program integrates computer science, data analytics, and cutting-edge AI techniques to prepare students for dynamic roles in the digital and tech-driven economy. 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.

Course Highlights

  • 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.

What You'll Study

2. Core Courses

  • MTH 112 Calculus I3 credits
  • MTH 113 Calculus II3 credits
  • MTH 114 Linear Algebra3 credits
  • MTH 120 Discrete Mathematics3 credits
  • MTH 130 Probability and Statistics3 credits
  • MTH 203 Discrete Mathematics for Computing Science3 credits
  • BCS 311 Scientific Computing3 credits
  • BAI 101 AI and Modern Life3 credits
  • BAI 201 Introduction to Artificial Intelligence3 credits
  • BAI 202 Data Engineering3 credits
  • BAI 301 Introduction to Machine Learning3 credits
  • BAI 302 Generative AI3 credits
  • BAI 304 Deep Neural Networks3 credits
  • BAI 306 Computer Vision3 credits
  • BAI 308 Introduction to Natural Language Processing3 credits
  • BAI 401 Artificial Intelligence on the Cloud3 credits
  • BAI 402 Reinforcement Learning3 credits
  • BAI 403 Agentic Artificial Intelligence3 credits
  • BAI 404 Conversational AI and Dialogue Systems3 credits
  • BCS 101 Elements of Computing3 credits
  • BCS 102 Introduction to Computing Science I3 credits
  • BCS 202 Introduction to Computing Science II3 credits
  • BCS 206 Information Structures3 credits
  • BCS 221 Communication Networks3 credits
  • BCS 301 Operating Systems4 credits
  • BCS 303 Security Principles and Practices4 credits
  • BCS 309 Algorithms I3 credits
  • BAI 204 AI Project Management3 credits
  • BCS 401 Ethics for Computing Professionals3 credits
  • ENT 141 Fundamentals of Innovation and Entrepreneurship 12 credits
  • ENT 142 Fundamentals of Innovation and Entrepreneurship 21 credit
  • ENT 241 Entrepreneurship 12 credits
  • ENT 242 Entrepreneurship 21 credit
  • GED 255 Critical Thinking and Problem Solving3 credits
  • GED 190 Emirati Studies3 credits
  • LNG 181 English I for Engineering and Computing3 credits
  • LNG 182 English II for Engineering and Computing3 credits
  • BIO 102 Biology I3 credits
  • SHS 103 Chemistry3 credits
  • SCI 210 Modern Physics3 credits
  • GED 110 Modern Art Appreciation3 credits
  • GED 111 Music Appreciation and Communication3 credits
  • GED 205 Psychology in Everyday Life3 credits
  • GED 324 Ethical Reasoning for Today’s World3 credits
  • GED 330 Introduction to Canadian Studies3 credits
  • GED 196 Communication Skills in Arabic3 credits
  • GED 191 Islamic Studies3 credits

3. Elective Courses

  • BAI 411 Speech Recognition and Synthesis3 credits
  • BAI 412 Sentiment Analysis and Text Mining3 credits
  • BAI 413 Multilingual Natural Language Processing3 credits
  • BAI 414 Deep Learning for Computer Vision3 credits
  • BAI 415 3D Vision and Augmented Reality3 credits

4. Practical Experience & Projects

  • ENG 420 Internship3 credits
  • BAI 410 Artificial Intelligence Project6 credits

Entry Requirements

Academic: A recognised High School Certificate: UAE Grade 12 with passing grades in all subjects, or an equivalent qualification from outside the UAE valid for public-university admission in its country of issue, completed over at least 12 years of schooling. British-curriculum applicants must have completed Year 13. Certificates issued outside the UAE require a Ministry of Education equivalency certificate.
English: A minimum score of 80% in Grade 12 English, or IELTS Academic 5.0, TOEFL iBT 61 or TOEFL ITP 500. Applicants who do not meet the English requirement enrol in the University's English for Academic Purposes (EAP) programme in their first semester and may register for up to 12 credit hours of General Education courses until the requirement is met.

Programme-specific requirements may apply. Source: cud.ac.ae admission pages, retrieved 2026-08-18.

Careers

Graduates of the BAcAI 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 & Professional Recognition

The program was awarded accreditation by the Ministry of Higher Education and Scientific Research, UAE, in April 2025.

Programme Details

Award

BSc

Start Date

Fall, Spring, and Summer Semesters

Duration

4 years

Qualification

BSc

Subject Area

Computer Science

Tuition Fee

AED 79,712/yr

EnquireView Canadian University Dubai

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