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Bachelor of Science in Artificial Intelligence Degree Program
4 Years (8 Semesters)
128 Credit Hours
Fall, Spring and Summer Semesters
School of Engineering, Applied Science and Technology
Department of Computer Engineering and Computational Sciences
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Program Overview

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.

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.

Career Opportunities

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.

The program has been awarded the accreditation by Ministry of Higher Education and Scientific Research, UAE on April, 2025.

The graduates of the Bachelor of Science in Artificial Intelligence program, within a few years of their graduation, will have:

  • Established themselves in successful careers or advanced academic pursuits within the rapidly evolving field of artificial intelligence.
  • Contributed to the advancement of artificial intelligence by applying broad and in-depth knowledge, methodologies, and technical skills to design, evaluate, and implement innovative intelligent solutions - with particular impact in the UAE and beyond.
  • Demonstrated professional competencies through analytical reasoning, clear communication, leadership qualities, collaboration, and adaptability in diverse AI-related work environments.
  • Exhibited a strong sense of ethical responsibility and a clear understanding of the broader societal, economic, and environmental implications of AI technologies, with a focus on issues such as data privacy and algorithmic fairness.
  • Demonstrated a commitment to lifelong learning and continuous professional development to stay current with emerging technologies and future trends in artificial intelligence.

Upon successful completion of the Bachelor of Science in Artificial Intelligence program, the graduates of the program will be able to:

  • PLO 1: Demonstrate knowledge of relevant theories and principles of computing-related solutions in specialized domains.
  • PLO 2: Analyze a complex computing problem and apply principles of computing, artificial intelligence and other relevant disciplines to identify solutions.
  • PLO 3: Design, implement, and evaluate artificial intelligence-based solutions to meet a given set of computing requirements in the context of the program’s discipline.
  • PLO 4: Communicate effectively in a variety of professional contexts.
  • PLO 5: Recognize professional responsibilities and make informed judgments in computing and artificial intelligence practice based on legal and ethical principles.
  • PLO 6: Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
  • PLO 7: Apply artificial intelligence theory and software development fundamentals to produce computing-based solutions.
  • PLO 8: Assimilate new knowledge and skills into their practice by learning from experiences gained in different contexts of artificial intelligence.

The BScAI degree shall be awarded to a student upon completing the following requirements:

  • The student enrolled in the program must have passed 128 credit hours.
  • The student must achieve a CGPA of not less than 2.0 on a scale of 4.0 points.
  • The student must have earned at least 50% of credits at CUD.
  • Internship and Project work must be completed at CUD.

Program Structure

Requirements   Compulsory
Credit Hours
Core Course Mathematics & Statistics 21
Artificial Intelligence Core 62
Professional Practice 30
Electives 6
Practical Experience & Projects 9
Total 128

Course Code Course Title Prerequisite Credit Hours

Mathematics & Statistics

21
MTH 112 Calculus I None 3
MTH 113 Calculus II MTH 112 3
MTH 114 Linear Algebra MTH 112 3
MTH 120 Discrete Mathematics None 3
MTH 130 Probability and Statistics MTH 112 3
MTH 203 Discrete Mathematics for Computing Science BCS 102, MTH 120 3
BCS 311 Scientific Computing BCS 102, MTH 114 3

Artificial Intelligence Core

62
BAI 101 AI and Modern Life None 3
BAI 201 Introduction to Artificial Intelligence BCS 101, MTH 112 3
BAI 202 Data Engineering BCS 202, MTH 130 3
BAI 301 Introduction to Machine Learning BAI 201, MTH 130 3
BAI 302 Generative AI BAI 201 3
BAI 304 Deep Neural Networks BAI 201, MTH 114 3
BAI 306 Computer Vision BCS 202, MTH 114, BAI 301 3
BAI 308 Introduction to Natural Language Processing BCS 206, BAI 301 3
BAI 401 Artificial Intelligence on the Cloud BCS 301, BCS 303, BAI 301 3
BAI 402 Reinforcement Learning BAI 301 3
BAI 403 Agentic Artificial Intelligence BAI 201, BCS 309 3
BAI 404 Conversational AI and Dialogue Systems BAI 308 3
BCS 101 Elements of Computing None 3
BCS 102 Introduction to Computing Science I BCS 101 3
BCS 202 Introduction to Computing Science II BCS 102 3
BCS 206 Information Structures BCS 202, MTH 203 3
BCS 221 Communication Networks BCS 102 3
BCS 301 Operating Systems BCS 206, (ENG 210 or BAI 201) 4
BCS 303 Security Principles and Practices BCS 221 4
BCS 309 Algorithms I BCS 206, (BCS 201 or BAI 201) 3

Professional Practice

30

Compulsory Courses (24 Credit Hours)
BAI 204 AI Project Management BAI 201 3
BCS 401 Ethics for Computing Professionals None 3
ENT 141 Fundamentals of Innovation and Entrepreneurship 1 None 2
ENT 142 Fundamentals of Innovation and Entrepreneurship 2 ENT 141 1
ENT 241 Entrepreneurship 1 ENT 142 2
ENT 242 Entrepreneurship 2 ENT 241 1
GED 255 Critical Thinking and Problem Solving LNG 182 or LNG 172 3
GED 190 Emirati Studies None 3
LNG 181 English I for Engineering and Computing None 3
LNG 182 English II for Engineering and Computing LNG 181 or LNG 172 3

Elective Courses – Science Pool (3 Credit Hours)
BIO 102 Biology I None 3
SHS 103 Chemistry None 3
SCI 210 Modern Physics None 3

Elective Courses – Humanities Pool (3 Credit Hours)
GED 110 Modern Art Appreciation None 3
GED 111 Music Appreciation and Communication None 3
GED 205 Psychology in Everyday Life LNG-172 or LNG-182 3
GED 324 Ethical Reasoning for Today’s World LNG-172 or LNG-182 3
GED 330 Introduction to Canadian Studies None 3
GED 196 Communication Skills in Arabic None 3
GED 191 Islamic Studies None 3

Course Code Course Title Prerequisite Credit Hours

Program Major Requirement – Elective Courses (6 Credit Hours)
BAI 411 Speech Recognition and Synthesis BAI 308 3
BAI 412 Sentiment Analysis and Text Mining BAI 308 3
BAI 413 Multilingual Natural Language Processing BAI 308 3
BAI 414 Deep Learning for Computer Vision BAI 306 3
BAI 415 3D Vision and Augmented Reality BAI 306 3

Course Code Course Title Prerequisite Credit Hours
ENG 420 Internship 90 Credit Hours & CGPA ≥ 2.0 3
BAI 410 Artificial Intelligence Project Completed 90 Cr. Hrs. 6