Master of Science in Predictive Analytics (ODL) is currently listed by Universiti Teknologi PETRONAS (UTP) as a postgraduate programme focused on Data Science. Its current classification places it within Computing & IT, with a more specific study focus on Data Science. The current programme record shows online delivery. This student-facing overview is designed for students comparing postgraduate options in Data Science, presenting information in a way that is easier to compare and understand. The structured sections below also present entry requirements and intake information, giving applicants a clearer view of the verified details currently available for this programme. The official source remains available for applicants who want to check the institution's latest published programme details.
Applicants from engineering, science or technology need minimum CGPA 2.50; other disciplines at 2.50 may be considered after internal assessment. CGPA 2.00–2.49 requires 5 years working experience and rigorous assessment; non-related disciplines must complete stated prerequisite courses.
English: IELTS 6.0 or TOEFL 550 equivalent; waiver may apply for qualifying English-medium/native-English backgrounds.
UTP Master of Science in Predictive Analytics (ODL) current programme page publishes Estimated Total Cost Fee for Local students RM23,900. No fee component split is inferred. The live page does not explicitly label an academic fee year, so fee_year=0.
Fees are indicative and may be revised by the institution. GoUni can help you confirm the latest payable amount before application.
Seri Iskandar, Perak, Malaysia
Universiti Teknologi PETRONAS (UTP) is a private research university in Seri Iskandar, Perak, with programmes spanning engineering, computing, science, business and postgraduate research.
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