Bachelor in Artificial Intelligence with Honours

Bachelor in Artificial Intelligence with Honours is a Bachelor program taught at Universiti Teknologi Malaysia, Malaysia. The program is offered in campus-based modes with full-time (3 years) options.

The Bachelor in Artificial Intelligence with Honours at Universiti Teknologi Malaysia is a full-time program designed to build a broad background in the principles, methodologies, and applications of artificial intelligence. It includes foundational study in mathematics and computer science, plus core AI courses covering machine learning, deep learning, natural language processing, computer vision, generative AI, Responsible AI, and ethics.

The curriculum supports industry infused and hands-on learning through practical training, projects, and internships. Students take elective courses on advanced AI topics and AI applications in different domains, choosing up to 11 electives based on their interests or goals.

Graduates can pursue roles in technology, healthcare, finance, manufacturing, and more, including AI engineer, data scientist, machine learning specialist, research scientist, AI consultant, or further graduate-level study.

Modules

• machine learning
• deep learning
• natural language processing
• computer vision
• generative AI
• Responsible AI
• ethics

The minimum requirements for admission in Bachelor in Artificial Intelligence with Honours at Universiti Teknologi Malaysia for all applicants (Domestic or International) are:

• program specific academic requirment set by Universiti Teknologi Malaysia.
• English Language OR any other language requirments as set by Universiti Teknologi Malaysia as pre-requiste for admission in Bachelor in Artificial Intelligence with Honours.

Note: Please check the university website in the link below.

Please check detail of study units at https://fai.utm.my/bachelor-in-artificial-intelligence-with-honours

• AI Engineer
• AI Research Scientist
• AI Ethics and Policy Specialist
• Creative AI Specialist
• Business Intelligence Analyst
• Machine Learning Engineer
• Computer Vision Engineer
• Robotics Engineer
• NLP Engineer
• Data Scientist