PhD: Information Systems

DetailsInformation
LevelPostgraduate (PhD)
FacultyFaculty of Science, Management & Computing – Department of Computer and Information Sciences
Duration36–96 months FT / 48–120 PT
IntakesJanuary, July 
Accreditation (EAC/BEM, MQA ref)MQA/SWA9117; R/0611/8/0015 (03/28). EAC/BEM not applicable.
Tuition (Total, Malaysian)RM12,200/yr Eng & Geoscience · RM8,600 Mgmt · RM8,000 IS (Jan 2020 figures, UPDATE)

Who is this programme for?

For computing graduates and professionals who want to conduct original research at the intersection of technology, business and society, particularly in AI, data analytics, cybersecurity, cloud computing, enterprise systems, fintech, UX or information systems strategy.

What will I learn, year by year?

Year 1: Build research foundations, complete Research Methodology and develop/defend the research proposal.

Research stage: Conduct original research, produce semester progress papers and present at UTP's Biannual Postgraduate Conference.

Final stage: Complete the thesis, demonstrate the contribution to knowledge and defend it through Viva Voce.

Progression varies by research project.

Where do graduates work? Name employers and roles

Graduates can pursue academic, research and industry careers, including university lecturer/professor, academic researcher and research scientist. Other potential pathways include technology consulting, information systems management, cybersecurity, data/AI, enterprise systems, fintech and digital transformation. Specific UTP graduate employers should be verified through Alumni/CGS before publication.

One thing that makes it different at UTP

Research sits at the intersection of technology and business, with research spanning AI, data, cybersecurity, cloud, enterprise systems, blockchain, fintech, e-commerce, UX and information systems strategy — enabling research with both technical and organisational relevance.

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

Research areas: Data Analytics & Business Intelligence; Cybersecurity & Information Assurance; Cloud Computing & Big Data; Enterprise Systems & Informatics; Blockchain; AI applications in IS; Information Governance & Compliance; Fintech/E-Commerce/E-Business; HCI/UX; Information Systems Strategy & Management. Research institute: UTP’s FAQ cites the Institute of Emerging Digital Technologies (EDiT) as a relevant research institute. Individual academics are not listed on the programme page; applicants are advised to identify a potential supervisor based on research interests.

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

UTP Graduate Assistantship (GA): full-time PhD; tuition + first-attempt Research Methodology; RM3,000/month effective January 2026, subject to eligibility. GRA: full-time research students; tuition + first-attempt Research Methodology, with allowance subject to grant. GA/GRA recipients remain responsible for applicable resource/semester, registration, accommodation, transportation and Viva fees as specified by UTP.

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

A research-intensive PhD with substantial independent work. Students complete Research Methodology, Research Proposal Defence and semester progress assessments, then present at the Biannual Postgraduate Conference (BAPC). Students should identify a suitable supervisor and research topic early. Research attachment/collaboration with external universities, research groups and industry may be possible.

Next Intake + Application Deadline ​​

Next listed intake: January 2027. The programme currently lists January and July intakes. Specific application deadline: confirm with CGS. GA deadlines should be checked separately because funding applications may close earlier than programme applications.

Placement or internship route for this programme

No compulsory internship/placement route is stated. However, UTP encourages research attachment and collaboration with external research groups, universities and industries, depending on the research topic, supervisor, collaboration and funding.

Frequently Asked Questions

AI, data analytics, cybersecurity, cloud, blockchain, fintech, e-commerce, UX and more.

Yes, 4–10 years.

Applicants generally need a relevant Master’s and at least one earlier Computing-related degree, or 5 years’ relevant work experience; prerequisite programmes may apply to candidates from other disciplines.

Apply Now

Programme Lead

Ts. Dr. Nur Syadhila Che Lah

nursyadhila.chelah@utp.edu.my

Start Online Application Now
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PhD: Information Technology

DetailsInformation
LevelPostgraduate (PhD)
FacultyFaculty of Science, Management & Computing – Department of Computer and Information Sciences
Duration36–96 months FT / 48–120 PT
IntakesJanuary, May, September 
Accreditation (EAC/BEM, MQA ref)R3/482/8/0174 (02/30), MQA A8422. EAC/BEM not applicable.
Tuition (Total, Malaysian)RM12,200/yr Eng & Geoscience · RM8,600 Mgmt · RM8,000 IS (Jan 2020 figures, UPDATE)

Who is this programme for?

For computing professionals, researchers and graduates who want to develop original solutions to complex technology challenges in areas such as AI, data science, cybersecurity, software engineering, cloud computing, digital transformation and emerging technologies.

What will I learn, year by year?

Year 1: Establish the research problem, complete research methodology and develop the research proposal.

Research stage: Conduct independent research, develop and validate an original IT solution, publish/present findings and progress through research assessments.

Final stage: Complete the thesis, demonstrate the contribution to IT knowledge and defend the research through Viva Voce.

Where do graduates work? Name employers and roles

UTP identifies career paths including Data Scientist, IT Researcher, Software Engineer, Cybersecurity Analyst, Cloud Computing Specialist, Network Engineer, Database Administrator, Systems Analyst, IT Manager, Project Manager and Systems Architect, as well as academic careers. Specific UTP graduate employers should be verified through Alumni/CGS.

One thing that makes it different at UTP

100% online while remaining research-intensive, allowing IT professionals to pursue doctoral research without relocating to campus. Students can research emerging technologies while accessing UTP's computing, networking and data analytics facilities and industry/research collaborations.

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

Research areas: Artificial Intelligence; Data Science; Cybersecurity; Governance, Risk & Compliance; Software Engineering; Cloud Computing; Big Data; Digital Innovation & Transformation; Enterprise Systems; Immersive Technologies; Digital Twin; Image Processing & Computer Vision; Human-Computer Interaction. Department: Computer & Information Sciences. Research facilities include computer, networking and data analytics labs.

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

UTP Graduate Assistantship (GA): full-time PhD research students; tuition + first-attempt Research Methodology; RM3,000/month. Minimum CGPA 3.25/4.00 applies. GRA: full-time research students; tuition + first-attempt methodology; allowance based on grant affordability. EPF withdrawal and employer-sponsored HRDF support may also apply to eligible Malaysian students.

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

100% online, making it suitable for working professionals. However, it remains a research-intensive PhD requiring independent research, supervisor engagement, academic writing, research presentations and thesis development. Students should have reliable internet access and suitable computing resources. UTP also provides access to research software/tools such as AWS and Microsoft Azure.

Next Intake + Application Deadline ​​

Next intake: January 2027. UTP currently lists January, May and September intakes. General programme application deadline: To confirm with CGS. For GA funding, the January intake deadline is 1st week of October 2026.

Placement or internship route for this programme

Yes, potentially. UTP explicitly encourages research and industrial attachments, including opportunities with partners such as PETRONAS, and students may discuss potential industry collaborations/internships with their supervisors. These are not stated as compulsory placements

Frequently Asked Questions

 Yes, the programme is conducted 100% online.

Areas include AI, data science, cybersecurity, cloud, software engineering, digital twins, immersive technologies and HCI.

Yes, students may explore research/industrial attachments with supervisors, including collaborations with PETRONAS.

Apply Now

Programme Lead

Ts. Dr. Nur Syadhila Che Lah

nursyadhila.chelah@utp.edu.my

Start Online Application Now
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MSc by Research: Information Technology

DetailsInformation
LevelPostgraduate (research)
FacultyDepartment of Computing, Faculty of Science, Management & Computing
Duration24–48 months FT / 36–72 PT
IntakesJanuary, May, September
Accreditation (EAC/BEM, MQA ref)R3/482/7/0171 (10/29); MQA/Accreditation Ref: A8533
Tuition (Total, Malaysian)RM7,600/yr Eng & Geoscience · RM5,220 Mgmt · RM5,500 IS (Jan 2020 figures, UPDATE)

Who is this programme for?

For candidates with a computing bachelor's degree (CGPA 2.75+, or lower with internal assessment/work experience) who want to research areas like AI, data science, cybersecurity, cloud computing, digital twins, or human-computer interaction.

What will I learn, year by year?

Early stage — prerequisite programmes (Object-Oriented Programming, Software Engineering) if needed, plus your research proposal.

Core stage — independent research using tools like AWS, Microsoft Azure, PowerBI, MATLAB, or Visual Studio, depending on your specialisation, with supervisor-guided progress reviews.

Final stage — thesis writing, submission, and viva.

Full-time: 2–4 years; part-time: 3–6 years.

Where do graduates work? Name employers and roles

Data Scientist, Software Engineer, Cybersecurity Analyst, Cloud Computing Specialist, Network Engineer, Database Administrator, Systems Analyst, IT Manager, Project Manager, Systems Architect.

Named collaborators (not stated as direct employers) include PETRONAS, Honeywell, Huawei, Intel, Siemens, TNB, Schlumberger, and Yokogawa.​

One thing that makes it different at UTP

Hands-on access to industry-standard tools (AWS, Microsoft Azure, Oracle, PowerBI, MATLAB, Arduino IDE, and more) across dedicated computer, networking, and data analytics labs, with PETRONAS-linked research attachment opportunities.

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

No formal specialisation tracks — students research within areas including AI, Data Science, Cybersecurity, Governance/Risk/Compliance, Software Engineering, Cloud Computing, Big Data, Digital Innovation & Transformation, Enterprise Systems, Immersive Technologies, Digital Twin, Image Processing & Computer Vision, and HCI. No single named research centre. Programme lead: Ts. Dr. Nur Syadhila Che Lah.

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

UTP's current page does not identify a programme-specific scholarship. Eligible research students should check Graduate Assistantship/Graduate Research Assistantship (GA/GRA) availability, supervisor-funded projects and external sponsorships.

STUDENT LIFE: What should an applicant to THIS programme know?

Research students have one-to-one supervision, access to state-of-the-art laboratories and HPC resources, workshops/seminars, online and on-campus support, and opportunities for collaborative, industry-driven research.

Next Intake + Application Deadline ​​

January, May, September. UTP confirms these three intakes. The programme page does not state a specific application deadline, so applicants should confirm the deadline with UTP Admission for their intended intake.

Placement or internship route for this programme

Student may discuss with their supervisors on any potential industry collaborations and internships.

Frequently Asked Questions

There is no specialization but students can do research in the area of Cybersecurity, data science, artificial intelligence, cloud computing and other fields that relate to IT.

Yes. Student may discuss with their supervisors on any potential industry collaborations and internships.

We have computer labs, networking labs, data analytic labs and others for the students to use for their research.

Apply Now

Programme Lead

Ts. Dr. Nur Syadhila Che Lah

nursyadhila.chelah@utp.edu.my (+6053687426)

Start Online Application Now
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MSc in Applied Computing (ODL)

DetailsInformation
LevelPostgraduate (ODL)
FacultyFaculty of Science, Management & Computing – Department of Computer and Information Sciences
Duration1–3 years full-time
IntakesJanuary, May, September
Accreditation (EAC/BEM, MQA ref)R/0611/7/0010 (01/30); MQA/SWA11855
Tuition (Total, Malaysian)RM23,550 for Malaysian ODL students

Who is this programme for?

Designed for computing and non-computing graduates seeking practical skills in emerging technologies, big data analytics, machine learning, enterprise systems and digital transformation.

What will I learn, year by year?

Stage 1: Learn IT project management, digital innovation, emerging technologies and the digital economy.

Stage 2: Develop specialist skills in Big Data Analytics or Enterprise Resource Planning, including machine learning, real-time analytics and business intelligence.

Final stage: Complete the MSc Project, applying computing knowledge to an industry or real-world problem.

Where do graduates work? Name employers and roles

Graduates can pursue roles such as Data Analyst, Data Analytics Specialist, Business Intelligence Specialist, Enterprise Systems Specialist, IT Project Manager and Digital Transformation Specialist across technology, energy, finance, manufacturing and other industries.

One thing that makes it different at UTP

The ODL format lets working professionals develop applied computing expertise remotely while the curriculum focuses on industry-relevant technologies and digital transformation applications.

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

Research and teaching cover big data analytics, machine learning, digital analytics, enterprise systems, business intelligence, emerging technologies and digital transformation, within the Department of Computer and Information Sciences.

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

No programme-specific scholarship is stated. GA/GRA are primarily research-oriented and are not listed as funding for this programmework ODL programme. Malaysian students may explore EPF withdrawal, external sponsorships and education financing where eligible.

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

100% online, designed for working professionals. Students use self-instructional materials and live online sessions, with classes scheduled after working hours or over weekends. Non-computing graduates may need prerequisite programmes in Software Engineering and Object-Oriented Programming.

Next Intake + Application Deadline ​​

January, May, September. For the upcoming January 2027 intake, the current Malaysian postgraduate application deadline is 21 December 2026.

Placement or internship route for this programme

No separate internship is specified. Students complete an MSc Project (10 credits), applying their computing knowledge to an industry or real-world problem.

Frequently Asked Questions

Yes, subject to prerequisite requirements.

Yes, ODL is designed for working professionals.

Big Data Analytics or Enterprise Resource Planning.

Apply Now

Programme Lead

Ts Dr Nurul Aida Osman

nurulaida.osman@utp.edu.my

Start Online Application Now
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Bachelor of Computer Science (Hons)

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.

Apply Now

Programme Lead

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

shakita@utp.edu.my

Start Online Application Now
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Bachelor of Computer Engineering with Honours

Details Information
Level Undergraduate
Faculty Faculty of Engineering
Duration 4 years
Intakes September intake
Accreditation (EAC/BEM, MQA ref) (R/0713/6/0012) (12/27) (MQA/FA7663)
Tuition (Total, Malaysian) RM104,500

Who is this programme for?

For school leavers with a relevant foundation, A-Level, or equivalent qualification who want to specialise in computer hardware and systems — choosing from intelligent vision, next-gen communications, robotics, or renewable energy — with an optional Data Science minor.

What will I learn, year by year?

144 credit hours total: foundational subjects in physics, mathematics, programming, and electrical engineering, building into data networking, operating systems, and specialised areas like scalable computing and wireless communication. In later years, students choose one of four specialisation tracks (Intelligent Vision Systems, Next-Gen Communication Systems, Intelligent Robotics, or Renewable Energy) and can add an optional Data Science minor (AI, machine learning, data mining, visualization). Includes a Core Industrial Internship (14 credits).

Where do graduates work? Name employers and roles

Software engineer, network engineer, systems engineer, data engineer, embedded systems engineer, cloud engineer, AI engineer, and cybersecurity engineer.

One thing that makes it different at UTP

Four distinct specialisation tracks (Intelligent Vision Systems, Next-Gen Communications, Intelligent Robotics, Renewable Energy) plus an optional Data Science minor — letting students combine a hardware-focused engineering degree with modern AI/data skills.

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

Research is connected to the Department of Electrical & Electronics Engineering, with areas including Intelligent Signal & Imaging, Pervasive Systems, Communication, Electronic Materials & Devices, Automation & Control Systems, and Power & Energy Systems. The department supports cross-disciplinary research with universities and industry.

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

Not research-based (undergraduate programme). Specialisation tracks: Intelligent Vision System, Next Generation Communication Systems, Intelligent Robotics, Renewable Energy.

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

Students should expect a mix of engineering theory, programming, electronics, laboratory work, projects and practical learning. The programme is particularly suitable for students who enjoy both computing and physical technology. Students can also participate in UTP's clubs, societies and co-curricular activities.

Next Intake + Application Deadline ​​

September intake.

Placement or internship route for this programme

Core Industrial Internship (14 credit hours) is built into the 144-credit programme structure — exact duration/timing not detailed on this page (Civil Engineering's equivalent is 7 months; confirm if this matches for Computer Engineering).

Frequently Asked Questions

No, the Bachelor of Computer Engineering and Computer Science are separate programmes. Computer Engineering primarily focuses on hardware and systems, while Computer Science emphasises software development and computing theory.

Physics, mathematics, programming, electrical engineering, data networking, operating systems, plus specialised areas like scalable computing and wireless communication.

The duration of a bachelor’s degree in computer engineering is typically four years.

Apply Now

Programme Lead

Chair​ Department of Computing​​ AP Ts Dr​ Ahmad Sobri B Hashim

sobri.hashim@utp.edu.my

Start Online Application Now
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