Overview
The Bachelor of Computer Science in Artificial Intelligence provides students with a comprehensive education and skillset in understanding the principles, theories and applications of artificial intelligence. Throughout this AI programme, students will gain advanced knowledge and develop skills with a focus on the latest advances in various aspects of AI, including Intelligent Systems, Machine Learning, Natural Language Processing, Computer Vision, Image Processing, Cloud Computing, Web Programming and Database Technology. They learn to work with artificial intelligence tools, design intelligent algorithms, utilise evolutionary computing and employ cutting-edge tools and technologies to solve complex problems and find smart AI solutions.
Academic Requirements
- A pass in Matriculation or Foundation studies with a minimum CGPA of 2.00; OR
- A pass in STPM with a minimum grade of C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification; OR
- A pass in STAM with a minimum grade of Jayyid in any TWO (2) subjects;
AND a credit in:
- Additional Mathematics at SPM level or its equivalent; OR
- 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.
OR
- 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; OR
- 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; OR
- 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; OR
- 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; OR
- 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.
Notes:
- 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.
English Language Requirements
- Achieve a minimum score of 5.0 in the IELTS 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.
- Introduction to Programming
- Discrete Mathematics
- Computer Organisation and Architecture
- Database Management Systems
- Mathematics 1 for AI (Linear Algebra)
- Object-oriented Programming
- Introduction to Internet Technologies
- Knowledge Representation and Reasoning
- Information Systems Risk and Security
- Cooperative Placement 1
- Data Structures and Algorithms
- Database Design
- Operating Systems
- Mathematics 2 for AI (Calculus)
- Introduction to Human Computer Interaction
- Machine Learning
- Ethics in AI
- Recommender Systems
- Networking
- Software Project Management
- Database Technology
- Cooperative Placement 2
- Programming for Computer Science
- Fuzzy System and Evolutionary Computing
- Project Formulation
- Application Layer Programming
- Project Design and Implementation
- Image Processing
- Intelligent Systems
- Natural Language Processing
- Web Programming
- Cloud Computing
- Cooperative Placement 3
- Appreciation of Ethics and Civilisations
(Penghayatan Etika dan Peradaban) - Philosophy and Contemporary Issues
(Falsafah dan Isu Semasa)
- Philosophy and Contemporary Issues
- Communication in Bahasa Melayu 3
(Bahasa Melayu Komunikasi 3)
- 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
Local Students
Approximate Total Fees:
(without bridging course)
RM 85,800
(with bridging course)
RM 87,000
International Students
Approximate Total Fees:
(without bridging course)
RM 102,200
(with bridging course)
RM 103,550
Note: This is an estimated fee, as different countries have different visa processing charges and administrative fees. For more information, kindly refer to your region’s counselor for the detailed fee breakdown.
