Bachelor of Science in Artificial Intelligence and Machine Learning

Bachelor of Science in Artificial Intelligence and Machine Learning
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Course Descriptions

The Bachelor of Science in Artificial Intelligence and Machine Learning is an industry-focused undergraduate programme designed to prepare students for careers in the rapidly advancing AI sector. Delivered in English over six semesters, the programme consists of 23 core modules that provide a strong foundation in programming, mathematics, data structures, and statistical reasoning. Students progress to advanced topics such as machine learning, deep learning, computer vision, natural language processing, robotics, cloud computing, and AI ethics.

The curriculum emphasizes hands-on learning through real-world datasets, industry-standard tools, and collaborative projects, enabling students to apply theoretical knowledge to practical challenges. Ethical considerations and responsible AI development are integrated throughout the programme. A capstone project allows students to design and implement AI-based solutions to complex, real-world problems.

Upon completing 360 credits, graduates will possess strong analytical, technical, and problem-solving skills, along with teamwork and professional competencies required for success in the global AI and technology ecosystem.

Potential Career
  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Automation and Robotics Specialist
ENTRY CRITERIA

General Criteria

Successful Completion of Higher Secondary Education( A’ level 2 pass - E and above) OR Attainment of a Level 4 qualification in a related field OR Attainment of a Level 4 Foundation Study Program approved for the specific Diploma program.

Alternative Criteria

20 years old, completion of a Level 4 qualification (unrelated), and successful completion of an MQA approved University Preparation Program OR 20 years old, completion of secondary school, 2 years of relevant work experience, and successful completion of an MQA approved University Preparation Program

Intake

March

Mode

Online

Duration

36 Months

Fees Details

No Download Available
Modules
Semester 1
  • Introduction to Python
  • Object Oriented Programming
  • Discrete Mathematics & Logic
  • Calculus and Linear Algebra for AI
Semester 2
  • Probability and Statistics with Numpy
  • Data Structures and Algorithms
  • Database Systems and SQL
  • Introduction to Artificial Intelligence
Semester 3
  • Software Engineering for AI Systems
  • Machine Learning
  • Deep Learning
  • Big Data Analytics

 

Semester 4
  • Computer Vision
  • Advanced Algorithms & Optimization
  • Data Analytics & Visualization
  • Natural Language Processing
Semester 5
  • Reinforcement Learning
  • Robotics & Autonomous Systems
  • Cloud Computing & MLOps
  • AI Ethics and Society
Semester 6
  • Emerging Trends in AI
  • Advanced Deep Learning
  • Capstone Project in AI & Machine Learning
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