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Details Information
Level Undergraduate
Faculty Faculty of Science, Management & Computing
Duration 3 years 4 months
Intakes January, May & September
Accreditation (EAC/BEM, MQA ref) MQA Ref: FA17021; Registration: R/0613/6/0049, valid to 08/2032. Internal source additionally confirms Malaysian Board of Technologists (MBOT) and Seoul Accord (international recognition).
Tuition (Total, Malaysian) RM82,530

Who is this programme for?

For school leavers who want a computer science degree with an AI specialisation, hands-on AI lab modules, a business minor option, professional certification opportunities, and a 7-month industry internship.

What will I learn, year by year?

122 credit hours: Core Computing (24 credits) and Core Discipline (33 credits) build CS fundamentals; Field Electives (9 credits, choose 3) let students specialise in Machine Learning, Robotics, Large Language Models, or Computer Vision; Free Electives (15 credits) allow a minor in Corporate Management or Accounting & Business; plus a 7-month Industrial Internship (14 credits) and Final Year Project (6 credits). Includes an embedded Microsoft Azure Fundamentals (AZ-900) certification via the Distributed and Parallel Computing programme.

Where do graduates work? Name employers and roles

Software Engineer/Full-Stack Developer, Data Analyst, AI/Machine Learning Engineer, Data Scientist, System/Mobile App Developer, Automation Test Engineer, Product/Technical Consultant, Cloud Solutions Architect/Engineer, DevOps/SRE, UX/UI Engineer, Embedded Systems/IoT Engineer.

One thing that makes it different at UTP

An embedded, lifetime-valid Microsoft Azure Fundamentals (AZ-900) certification (via institutional partnership with Microsoft Learn for Educators), active faculty research groups open to undergraduates, and a choice of business minor alongside the core CS degree.

The Research Behind It: Which area, centre and academics?

Research sits within the Department of Computing, with expertise in AI, cybersecurity, data science, cloud/parallel computing, IoT and software engineering. Relevant research environment includes the Centre for Research in Data Science (CeRDaS). Current academics with aligned expertise include Ts. Dr Ooi Boon Yaik, Ts. Dr Shakirah Mohd Taib, Ts. Dr Norshakirah Abdul Aziz and Ts. Dr Emelia Akashah Patah Akhir.

Cost & Funding: Which scholarships and aid apply to this programme?

Not formally research-based (undergraduate programme), but the internal source notes "Active Faculty Expertise Research Groups" that undergraduates can join. Field elective specialisations: Machine Learning, Robotics, Large Language Models, Computer Vision.

Student Life: what should an applicant to this programme know?

Students should expect a hands-on computing experience with specialised laboratories, project-based learning, industry-linked teaching and research opportunities. The programme also offers professional certification opportunities and a choice of Corporate Management or Accounting & Business minor areas.

Next Intake + Application Deadline

January 2027 intake — application closes 17 November 2026. Applications open 14 October 2026; registration is 4 January 2027 and semester begins 11 January 2027.

Placement or internship route for this programme

7-month industrial internship, explicitly available in Malaysia or overseas (14 credits: Student Industrial Training + Student Industrial Project pattern consistent with the other Computing programmes).

Frequently Asked Questions

Artificial Intelligence.

Yes, a 7-month industry internship is highlighted by the department.

Students can earn Microsoft Azure Fundamentals (AZ-900) through the programme.

Programme Lead

Undergraduate Programme Leader, Computer Science:Ts. Dr. Shakirah Bt M Taib