Bachelor of Computer Science in Artificial Intelligence with Honours

Key Modules

• 1Introduction to Programming
• 2Discrete Mathematics
• 3Computer Organisation and Architecture
• 4Database Management Systems
• 5Mathematics 1 for AI (Linear Algebra)
• 6Object-oriented Programming
• 7Introduction to Internet Technologies
• 8Knowledge Representation and Reasoning
• 9Information Systems Risk and Security
• 10Cooperative Placement 1
• 11Data Structures and Algorithms
• 12Database Design
• 13Operating Systems
• 14Mathematics 2 for AI (Calculus)
• 15Introduction to Human Computer Interaction
• 16Machine Learning
• 17Ethics in AI
• 18Recommender Systems
• 19Networking
• 20Software Project Management
• 21Database Technology
• 22Cooperative Placement 2
• 23Programming for Computer Science
• 24Fuzzy System and Evolutionary Computing
• 25Project Formulation
• 26Application Layer Programming
• 27Project Design and Implementation
• 28Image Processing
• 29Intelligent Systems
• 30Natural Language Processing
• 31Web Programming
• 32Cloud Computing
• 33Cooperative Placement 3
• 34Appreciation of Ethics and Civilisations
• 35(Penghayatan Etika dan Peradaban)
• 36Philosophy and Contemporary Issues
• 37(Falsafah dan Isu Semasa)
• 38Communication in Bahasa Melayu 3
• 39(Bahasa Melayu Komunikasi 3)

Entry Requirements

• A pass in Matriculation or Foundation studies with a minimum CGPA of 2.00;
• A pass in STPM with a minimum grade of C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification;
• A pass in STAM with a minimum grade of
• in any TWO (2) subjects;
• Additional Mathematics at SPM level or its equivalent;
• Mathematics and any one of the Science, Technology, or Engineering subjects at SPM level or its equivalent.
• Candidates need to take a reinforcement course equivalent to Additional Mathematics with appropriate topics in the discipline of Computer Science, Data Science, or Software Engineering at the beginning of the study.
• A pass in STPM (Science Stream) or its equivalent with a minimum grade of C (CGPA 2.00) in Mathematics subject and ONE (1) Science / ICT subject;
• Diploma in Computing (Level 4, MQF) or its equivalent with a minimum CGPA of 2.50 Candidates with a CGPA below 2.50 but more than 2.00 may be admitted subject to a thorough internal evaluation process;
• Any Diploma in Science and Technology (Level 4, MQF) with a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but more than 2.00 may be admitted subject to a thorough internal evaluation process;
• Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia
• (DVM) in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval;
• Diploma Lanjutan Kemahiran Malaysia (DLKM)
• in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval.
• For Public Universities: Refer to Surat JPT.S(BPKP)2000/400/04/01 Jld.5(53), 20th November, 2019 - Pindaan syarat kelayakan minimum (Syarat am) Diploma TVET (DKM, DLKM, DVM) sebagai syarat kelayakan masuk ke program Ijazah Sarjana Muda di Universiti Awam (UA).
• For Private Higher Educational Institutions: Refer to Surat JPT/GS 1000-606 Jld.2(23), 21st April 2020 - Kemasukan Pelajar Lulusan Diploma Kemahiran Malaysia (DKM), Diploma Lanjutan Kemahiran Malaysia (DLKM) dan Diploma Vokasional Malaysia (DVM) ke Peringkat Sarjana Muda (Tahap 6 MQF) atau yang setara dengannya di Institusi Pendidikan Tinggi Swasta.
• Students are required to pass the Reinforcement Mathematics before being allowed to take related core courses. The candidate can sit for any subjects that did not indicate Mathematics as a prerequisite.
• Reinforcement Mathematics can contribute to the overall graduating credit.
• Students from Matriculation / Foundation or its equivalent can be exempted from taking the Reinforcement Mathematics, provided that the Mathematics offered at that programme level is equivalent / more than the Additional Mathematics offered at an SPM level.
• Academic Requirements
• English Language Requirements
• Achieve a minimum score of 5.0 in the IELTS Academic or equivalent.
• If a student does not meet this requirement, the HEP must offer English proficiency courses to ensure that the student’s proficiency is sufficient to meet the needs of the programme.

Career Prospects

• Machine Learning Engineer
• Computer Vision Engineer
• Natural Language Processing (NLP) Specialist
• AI Data Scientist
• AI Data Analyst
• AI Data engineer
• AI Ethics Specialist
• AI Research Scientist
• AI Software engineer
• Robotics Engineer
• Business Intelligence Developer