Admissions Open • Year 2026/2027
MSc in Predictive Analytics (ODL)
PETRONAS built a university because it needed leaders who can challenge the standard. UTP is Malaysia’s top-ranked private university — discover hands-on engineering, science and computing programs tailored for industry 4.0.
| Details | Information |
|---|---|
| Level | Postgraduate (ODL) |
| Faculty | Faculty of Science and Information Technology – Department of Applied Sciences |
| Duration | 1–3 years full-time |
| Intakes | January, May & September |
| Accreditation (EAC/BEM, MQA ref) | MQA, N-DL/0588/7/0002 (02/2030); MQA/PSA18316 |
| Tuition (Total, Malaysian) |
Who is this programme for?
Designed for graduates and professionals who want advanced skills in predictive modelling, big data analytics, machine learning, AI and decision intelligence for data-driven problem-solving in business, engineering and other industries.
What will I learn, year by year?
Stage 1: Learn statistical analysis, decision-making techniques, programming and data visualisation. Stage 2: Develop skills in data mining, machine learning and forecasting, with a choice of Business Analytics or Predictive Maintenance. Final stage: Apply these skills through Industrial Projects I & II.
Where do graduates work? Name employers and roles (≤60 words)
Graduates can pursue roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Predictive Analytics Specialist, Machine Learning Specialist and Maintenance Analytics Specialist across energy, engineering, finance, business and other data-driven sectors.
One thing that makes it different at UTP
Scientist, Business Intelligence Analyst, Predictive Analytics Specialist, Machine Learning Specialist and Maintenance Analytics Specialist across energy, engineering, finance, business and other data-driven sectors.Students can specialise in Business Analytics or Predictive Maintenance, while learning from adjunct lecturers from PETRONAS, Department of Statistics Malaysia (DOSM) and Bursa Malaysia, connecting analytics theory with industry applications.
The Research Behind It: Which area, centre and academics?
Research aligns with predictive analytics, data science, machine learning, AI, business analytics and predictive maintenance. The Department of Applied Sciences states that its academics are affiliated with research institutes and lead internally and externally funded research. UTP's wider analytics research includes predictive modelling and machine-learning applications.
Cost & Funding: Which scholarships and aid apply to this programme?
GA is for full-time PhD research students only, so it does not apply to this programmework master's. Malaysian applicants can explore EPF withdrawal, external sponsorships and education financing, subject to the relevant provider's eligibility requirements.
Student Life: What should an applicant to this programme know?
100% online, using self-instructional materials and live online classes. Classes are conducted after working hours or over weekends, with online open-book final examinations. The format is designed to support flexible, self-directed learning.
Next Intake + Application Deadline
January, May and September intakes. For the January 2027 intake, UTP's current postgraduate application schedule gives 21 December 2026 as the Malaysian application deadline.
Placement or internship route for this programme
No compulsory internship is specified. Students instead complete Master Project I & II, allowing them to investigate and address a process-safety problem through research and applied analysis
Frequently Asked Questions
Can I study while working?
Yes, the ODL format is designed for flexibility.
What specialisations are available?
Business Analytics and Predictive Maintenance.
What background do I need?
Engineering, science or technology graduates with CGPA 2.50 may apply; applicants from other disciplines may be assessed by UTP and may need prerequisite programmes.
Programme Lead