School of Engineering and Computing
Bachelor of Computer Science (Hons)
Programme Overview
This programme is designed to prepare students for a successful career in computer science by providing a solid foundation in both theory and practical application. Students will learn core areas including software engineering, artificial intelligence, data analytics, cybersecurity, and cloud computing. The outcome is a set of technical, analytical, and problem-solving skills that enable graduates to innovate in the technology sector, pursue further studies, or embark on professional roles in computing and related industries.
- Specialise in 3 of 4 High Demand Career Fields
Specialise in Artificial Intelligence, Cybersecurity, Data Science, or Cloud Computing through a structured curriculum with internship placements supported by the school. It is one of the most in-demand skills for top-paying careers in the tech industry. - Industry-Linked Learning
Hands-on learning through practical industry projects such as using the Unicorn Hybrid Black EEG Brain Signal Processing project with Ultra Technology Engineering Sdn Bhd, providing practical experience in AI, data analytics, and human-computer interaction. Students also gain real exposure through capstone project showcases. Students are also exposed to Expert Series training sessions, research publications, industry lecture series, hackathons, and coding competitions. - Global & Alumni Connections
Our graduates and partners span the globe, opening doors to international opportunities and networks. From alumni building careers with global tech giants like Google, Microsoft, Intel, Amazon, and Huawei, to industry-linked certifications through partnerships such as Huawei ICT Academy, students gain both credibility and connections that matter. With international mobility programmes, our students experience study exchanges and overseas projects, making them part of a worldwide community of innovators
and leaders. - IR 4.0 Curriculum with Emerging Technologies
Our curriculum is designed around the demands of the Fourth Industrial Revolution and by combining technical expertise with problem-solving, adaptability, and leadership, graduates are equipped to thrive in an ever-evolving digital world. Whether as entrepreneurs, researchers, or industry leaders, they are future-ready professionals shaping the next wave of innovation.
Progression Pathways
Graduates of the Bachelor of Computer Science 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 Computing (Level 4, MQF) or equivalent with a minimum CGPA of 2.50, or a Diploma in Science and Technology (Level 4, MQF) in a related field with a minimum CGPA of 2.75 |
| 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 | Minimum Score 5.0 |
| TOEFL | TOEFL (IBT) 60 |
| Others | Pass |
International Students
| Type of Examination | Minimum Score |
| Malaysian University English Test (MUET) | Band 3 |
| International English Language Testing System (IELTS) | 5.0 |
| Test of English as a Foreign Language (TOEFL) | TOEFL (IBT) 60 |
| Equivalent English Proficiency Test | Pass |
Programme Structure
Year 1
- Computer Graphics
- Computer Organisation and Architecture
- Computer Programming
- Database Management System
- Discrete Mathematics
- English for Professional Communication
- Internet and Web Programming
- Probability and Statistics
- Professional Computing Practices
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
Year 3
- Artificial Intelligence (H)
- Big Data (H)
- Cloud Computing
- Cloud Security
- Cryptography and Network Security
- Cybersecurity
- Data Analytics
- Data Science
- Entrepreneurship
- Final Year Project 1
- Final Year Project 2
- Industrial Training*
- Machine Learning
- Mobile Computing
- Project Management
- 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 complete a minimum 12 weeks of industrial training placement for real industry exposure and hands-on skill development.
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
- Artificial Intelligence and Machine Learning
- Cybersecurity
- Data Science and Big Data
- Software Engineering
- Computer Graphics and Visualisation
- Networking and Communications
Career Opportunities
- Software Developer
- Data Scientist
- Cybersecurity Analyst
- Machine Learning Engineer
- Cloud Solutions Architect
- Systems Analyst
- Database Administrator
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.
