BSc. Artificial Intelligence & Data Science

Program Overview

A rigorous undergraduate program combining computer science, mathematics, statistics, data analysis and artificial intelligence. Students progress from programming fundamentals to machine learning, deep learning, generative AI and research.

Key Areas of Study

• Programming & Computational Thinking
• Data Structures & Algorithms
• Calculus, Linear Algebra & Statistics
• Database Systems & Data Engineering
• Machine Learning & Deep Learning
• Natural Language Processing & Computer Vision
• Generative AI & Intelligent Systems
• Research Methodology & Final-Year Project

Research Opportunities

Students may explore research questions and projects in areas such as:

• Machine Learning
• Generative AI
• Natural Language Processing
• Computer Vision
• Healthcare & Educational Analytics
• Predictive Analytics
• Intelligent Decision Systems

Career Pathways

AI Engineer Machine Learning Engineer Data Scientist Data Analyst Data Engineer AI Developer Business Intelligence Analyst Research Assistant

Higher Study & Academic Progression

• MSc. Artificial Intelligence & Machine Learning
• MSc. Data Science & Analytics
• MSc. Computer Science
• MSc. Computational Science
• MSc. Robotics & Intelligent Systems

Academic Approach

Learning may include lectures, seminars, laboratory work, guided projects, literature review, presentations, research methodology and independent study. Exact course titles, credit distribution and assessment structure are subject to the approved curriculum of the affiliating university and applicable regulatory authorities.