Bachelor in Computer Science (Artificial Intelligence) (Honours)
36 monthsProgramme duration
6,790 USDTuition Fee/year
Sep, Jun, JanStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BComp
Study Level
Bachelor's
Study Mode
On Campus
The Bachelor in Computer Science (Artificial Intelligence) (Honours) is a 3-year programme combining foundational computer science with specialized AI training. Students build expertise in software development, data structures, computer systems, and programming, alongside specialized modules in machine learning, natural language processing, computer vision, and generative AI. The curriculum emphasizes hands-on, project-based learning and ethical AI practices, and includes industrial internships with technology partners as well as connections to Tenaga Nasional Berhad for energy-sector AI applications.
Areas of study include artificial intelligence principles, machine learning, data science, natural language processing, computer vision, robotics, reinforcement learning, and evolutionary computation. The programme holds MQA Self-Accreditation (Swaakreditasi) status. Graduates are prepared for careers as AI developers, machine learning engineers, data scientists, and software engineers across technology, energy, and other data-driven industries.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BComp
Study Level
Bachelor's
Study Mode
On Campus
The Bachelor in Computer Science (Artificial Intelligence) (Honours) is a 3-year programme combining foundational computer science with specialized AI training. Students build expertise in software development, data structures, computer systems, and programming, alongside specialized modules in machine learning, natural language processing, computer vision, and generative AI. The curriculum emphasizes hands-on, project-based learning and ethical AI practices, and includes industrial internships with technology partners as well as connections to Tenaga Nasional Berhad for energy-sector AI applications.
Areas of study include artificial intelligence principles, machine learning, data science, natural language processing, computer vision, robotics, reinforcement learning, and evolutionary computation. The programme holds MQA Self-Accreditation (Swaakreditasi) status. Graduates are prepared for careers as AI developers, machine learning engineers, data scientists, and software engineers across technology, energy, and other data-driven industries.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
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