Bachelor in Computer Science (Honours) (Artificial Intelligence)
Programme Overview
This programme is designed to equip students with the knowledge, skills, and practical experience necessary to excel in the field of computer science particularly in the domain of artificial intelligence. Accredited by the Malaysian Qualifications Agency (MQA), this programme offers a comprehensive curriculum that includes modules in computer science, artificial intelligence, machine learning, computer vision, natural language programming and robotics programming.
- Career-Focused Pathways in AI & Robotics
The programme builds strong foundations in Artificial Intelligence, Machine Learning, and Robotics. Learning progresses systematically across semesters to develop advanced technical skills. A final-semester internship and MQA accreditation ensure strong career readiness. - Industry-Embedded Experience
Students engage in hands-on learning through industry projects, hackathons, and expert talks. Industry collaborations allow students to apply knowledge using real-world tools and systems. Learning extends beyond the classroom to enhance employability. - Global Exposure
Opportunities include overseas study and exchange programmes with partner universities. This exposure
strengthens global awareness and career prospects. In addition, industry-linked certifications through partnerships such as Huawei ICT Academy, students gain both credibility and connections that matter. - Future-Ready Digital Graduates
The curriculum aligns with emerging technologies and industry trends. Graduates progress into roles as innovators, engineers, and technology leaders. Emphasis is placed on adaptability and lifelong learning.
Progression Pathways
Graduates of the Bachelor of Computer Science (Honours) (Artificial Intelligence) can progress to postgraduate studies by coursework or research, such as:
- Master of Computer Science (by coursework)
- Master of Science in Engineering (by research)
While MILA currently offers progression in these areas, graduates are also well-prepared to pursue advanced studies in artificial intelligence, cybersecurity, data science, cloud computing, software engineering, and other computing-related disciplines at universities locally or internationally, providing flexibility to specialise further and advance careers in cutting-edge technology sectors.
Entry Requirements
| MATRICULATION/FOUNDATION | Pass with a minimum CGPA of 2.00 and a Credit in SPM including Additional Mathematics or Mathematics and any one of the Science, Technology, or Engineering subjects |
| STPM (Arts Stream) | Pass with a minimum grade of C (GP 2.00) in any two (2) subjects and a credit in SPM including Additional Mathematics or Mathematics and one Science/Technology/Engineering subject |
| STPM (Science Stream) | Pass with a minimum grade of C (GP 2.00) in Mathematics and one (1) Science or ICT subject |
| STAM | Pass with a minimum grade of Jayyid in any two (2) subjects and a credit in SPM including Additional Mathematics or Mathematics and one Science/Technology/Engineering subject |
| DIPLOMA | Pass a Diploma in Science and Technology (Level 4, MQF) in a related field with a minimum CGPA of 2.75, or a CGPA of 2.50 subject to rigorous assessment |
| DIPLOMA KEMAHIRAN MALAYSIA (DKM) /
DIPLOMA VOKASIONAL MALAYSIA (DVM) / DIPLOMA LANJUTAN KEMAHIRAN MALAYSIA (DLKM) |
Pass with a minimum CGPA of 2.50 subject to HEP Senate / Academic Board approval |
| OTHERS | Other equivalent qualifications recognised by the Malaysian Government |
English Requirement
| MUET | Band 3 |
| IELTS | 5.0 |
| TOEFL | 60 |
| Others | Pass |
Programme Structure
Year 1
- Computer Organisation and Architecture
- Computer Programming
- Computer Graphics
- Database Management System
- Discrete Mathematics
- English for Professional Communication
- Internet and Web Programming
- Professional Computing Practices
- Probability and Statistics
Year 2
- Computer Network (H)
- Data Structures and Algorithm (H)
- Data Warehousing and Data Mining
- E-Commerce
- Human Computer Interaction (H)
- Java Programming
- Management Information Systems
- Object Oriented Programming
- Operating Systems
- Server-Side Programming
- Software Engineering
- Software Testing and Quality Assurance
Semester 3
- Artificial Intelligence (H)
- Big Data (H)
- Computer Vision
- Data Science
- Entrepreneurship
- Final Year Project 1
- Final Year Project 2
- Industrial Training*
- Machine Learning
- Mobile Computing
- Natural Language Processing
- Project Management
- Robotics Programming
- System Analysis and Design
Mata Pelajaran Umum (MPU)
- Bahasa Kebangsaan A** / Introduction to Psychology*
- Bahasa Melayu Komunikasi 2 (Non-Malaysian) / Penghayatan Etika dan Peradaban (Malaysian)
- Integrity and Anti-corruption
- Philosophy and Current Issues
(H) – Embedded with Huawei ICT Academy modules, integrating 4 Huawei General Courses and 1 Huawei Certified ICT Associate–AI professional certification.
*In Year 3, students will need to undergo a minimum 12 weeks of industrial training.
Courses and assessments may change due to curriculum updates. For the latest information, please consult our counsellors.
Notes
*For students (including Non-Malaysian) who are not required to take Bahasa Kebangsaan A .
**For Malaysian students who did not achieve credit for Bahasa Melayu in Sijil Pelajaran Malaysia (SPM).
Assessment
- Continuous assessments and final examination
- Face-to-face lecture sessions and lab practical
Future Pathways
Areas of Application
- Natural language processing
- Computer vision
- Robotics
- Predictive analytics
- Recommender systems
Career Opportunities
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Robotics Engineer
- AI Product Manager
Get in touch with us now
Interested in joining our programme? Fill out the form below to submit your enquiry. Our admissions team will review your information and get back to you shortly to discuss the next steps in your application journey.
