School of Engineering and Computing
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
| Foundation/Matriculation | Pass with a minimum CGPA of 2.00 and a credit in Additional Mathematics at the SPM Level or its equivalent; OR Pass with a minimum CGPA of 2.00 and a credit in Mathematics and any one of the Science Technology or Engineering Subjects at SPM Level or its equivalent. Candidates are required to take and pass reinforcement mathematics subject in the first semester. |
| STPM (Science Stream) | Pass with a minimum Grade of C (GP 2.00) in Mathematics subject and ONE (1) Science / ICT subject; OR |
| STPM (Arts Stream) | Pass with a minimum Grade of C (GP 2.00) in any (2) subjects and a credit in Additional Mathematics at the SPM Level or its equivalent; OR Pass with a minimum Grade of C (GP 2.00) in any (2) subjects AND a credit in SPM Mathematics and any one of the Science, Technology or Engineering subjects or its equivalent. |
| STAM | Pass with minimum grade of Jayyid in any 2 subjects and credit in Additional Mathematics at SPM level; OR Pass with minimum grade of Jayyid in any 2 subjects and credit in Mathematics and any Science, Technology or Engineering subjects at SPM level. |
| A-Level | Pass with Grade D in any two (2) subjects and a credit in Additional Mathematics at the SPM Level or its equivalent; OR Pass with a minimum of Grade D in any two (2) subjects and a credit in Mathematics and any one of the Science Technology or Engineering Subjects at SPM Level or its equivalent; |
| UEC | 5B’s (including Additional Mathematics or Mathematics and 1 of the science, Technology or Engineering subject); OR Pass with at least Grade B in any five (5) subjects and a credit in Additional Mathematics at the SPM Level or credit in Mathematics and any one of the Science Technology or Engineering Subjects at SPM Level or its equivalent. |
| Diploma in Computing fields (Level 4, MQF) |
Pass with minimum CGPA of 2.50, CGPA below 2.50 but more than 2.00 subject to internal assessment. |
| Any Diploma in Science & Technology (Level 4, MQF) |
Pass with a minimum CGPA 2.75; CGPA below 2.75 but more than 2.50 may subject internal assessment. |
| Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) / Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing fields |
Pass with a minimum CGPA of 2.50 subject to Senate / Academic Board’s approval. |
Notes:
- The requirement for a credit in Additional Mathematics at SPM Level can be exempted if the entry qualification has a Mathematics subject and the achievement is equivalent or higher than the requirement at SPM Level.
- Candidates, who obtain credit in Mathematics at SPM Level, need to take and pass the reinforcement Mathematics in the first semester or before enrolment with unconditional offer.
ENGLISH REQUIREMENTS
Applicants are recommended to meet the preferred English proficiency test:
| Type of Examination | Minimum Score |
| IELTS | 5.0 |
Alternatively, applicants may meet the requirement through recognised English proficiency tests listed below.
| Type of Examination | Minimum Score |
| CEFR | High B1 |
| MUET | Band 3.5 |
| TOEFL (IBT) |
40 |
| TOEFL Essentials (Online) | 7.5 |
| PTE | 47 |
| Linguaskill Online | 154 |
| ELS English | 107 |
Note:
- Applicants who have completed an academic qualification taught in English may be eligible for exemption from the University English and MQA requirements.
- International applicants who do not meet the programme’s English Language Requirements are required to enrol in the MILA English Enhancement Programme to improve their proficiency.
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.
