School of Engineering and Computing
Master of Computer Science
Programme Overview
The demand for tech professionals with advanced computing expertise is rapidly increasing as industries embrace digital transformation. The Master of Computer Science programme is designed to equip students with in-depth knowledge and practical skills in software development, data analytics, and emerging technologies. Upon completion, graduates will gain the technical proficiency, problem-solving abilities, and leadership readiness needed to excel in high-impact roles across the tech industry.
- Future-Ready Education with In-Demand Fields
Graduates in Master of Computer Science from MILA University will be well-positioned to seize opportunities in emerging fields of Computer Science (i.e. Artificial Intelligence, Cybersecurity, Cloud Computing, Data Science) that will be critical and in demand now and in the coming years. Students can earn professional certification in areas such as Artificial Intelligence, Machine Learning, Networking, Cybersecurity, Cloud Computing and Data Science awarded by Huawei ICT Academy. - Career-Focused Learning
The programme prepares graduates for industry by providing expertise in high-demand areas like artificial intelligence, machine learning, data science, cybersecurity, and software engineering. Students can boost their employability by earning professional certification from Huawei ICT Academy in these areas. - Student-Centred Academic Experiences
Get involved into research projects that present technical challenges and the development of innovative solutions to real-world problems, often focusing on advanced topics like AI, Big Data, or cybersecurity. Students can develop practical skills from involvement in innovative projects by making use of the MILA AIRO Lab and MILA TriCore Lab which are equipped with state-of-the-art computing hardware and software for artificial intelligence, robotics, cloud computing, cybersecurity and data science research projects. - Global Connection & Recognition
Strong partnerships with global tech industry leaders such as Huawei Malaysia to train students to work on real-world, innovative projects that align with industry priorities. Students can obtain Huawei certification in courses such as AI, Machine Learning, Networking, Cybersecurity, Cloud Computing and Data Science awarded by Huawei ICT Academy. This globally recognized certification provides competitive advantage to graduates seeking to advance their careers globally.
Progression Pathways
Specialisations: Master of Computer Science
| Artificial Intelligence & Machine Learning | Human-computer interaction, AI algorithms, machine learning, and natural language processing. |
| Data Science & Analytics | Big data processing, statistics, data mining, visualisation, and data science techniques. |
| Cybersecurity | Cryptography, ethical hacking, network security, and information protection. |
| Cloud Computing | Cloud technologies, cloud security, game development, and mobile application development. |
Pathway: Master → Doctoral Studies
Graduates of the Master of Computer Science programme can progress to Doctoral-level studies, including:
- Doctor of Philosophy (PhD) in Engineering – By Research
Graduates may pursue PhD or research programmes in computing, AI, data science, cybersecurity, cloud computing, or related fields at other recognised universities locally or internationally.
Entry Requirements
| Bachelor’s Degree | A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.50, as accepted by the HEP Senate;
OR |
| A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted subject to a thorough rigorous assessment;
OR |
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| A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to a thorough rigorous assessment;
OR |
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| A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to appropriate prerequisite courses;
OR |
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| Others | Other qualifications equivalent to a Bachelor’s degree (Level 6, MQF) recognised by the Malaysian Government |
English Requirements
| Type of Examination | Minimum Score |
| Malaysian University English Test (MUET) | Band 4 |
| International English Language Testing System (IELTS) | Score of 6.0 |
| Test of English as a Foreign Language (TOEFL) | 60 |
| TOEFL Essentials (Online) | 8.5 |
| Common European Framework of Reference (CEFR) | Low B2 |
| Pearson Test of English (PTE) | 59 |
| Linguaskill Online | 169 |
Programme Structure
Course Structure
The Master of Computer Science is structured over 1 year and 3 months, delivered in blocks to provide focused and in-depth learning.
Year 1
- Research Methodology, Human Computer Interaction (HCI)
- Advanced Algorithms & Data Structures, Cloud Computing and Cloud Security
- Software Engineering, Artificial Intelligence & Machine Learning
- Elective 1 and Elective 2 (choose one each)
- Elective 3 (choose one)
Year 2
- Research Project
Elective Courses
- Natural Language Processing
- Cybersecurity & Network Security
- Big Data & Data Science
- Game Development
- Mobile Application Development
Future Pathways
Area of Application
The programme offers opportunities for professional career advancement in areas such as:
- Artificial Intelligence and Machine Learning
- Data Science and Analytics
- Cybersecurity
- Cloud Computing
- Robotics
- Software Development and Engineering
Career Opportunities
- Data Scientist
- Machine Learning Engineer
- Software Architect
- AI Researcher
- Cybersecurity Specialist
- Cloud Solutions Architect
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.
