Master of Science in Predictive Analytics ODL
Source: https://www.utp.edu.my/Pages/Admission/Postgraduate/Master-by-Coursework/Master-of-Science-in-Predictive-Analytics-ODL.aspx Parent: https://www.utp.edu.my/Pages/Admission/Home/Postgraduate.aspx
Master by Coursework (ODL)
- MBA in Energy Management (ODL)
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- MSc in Offshore Engineering (ODL)
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- MSc in Process Integration (ODL)
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- MSc in Applied Computing (ODL)
- MSc in Industrial Environmental Engineering (ODL)
- MSc in Corrosion Engineering (ODL)
- MSc in Petroleum Engineering (ODL)
- MSc in Data Science (ODL)
- MSc in Predictive Analytics
Master by Coursework
- MBA in Energy Management
- MSc in Asset Management and Maintenance
- MSc in Applied Computing
- MSc in Corrosion Engineering
- MSc in Drilling Engineering
- MSc in Electronic System Engineering
- MSc in Industrial Environmental Engineering
- MSc in Offshore Engineering
- MSc in Petroleum Engineering
- MSc in Petroleum Geoscience
- MSc in Process Integration
- MSc in Process Safety
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Master of Science in Predictive Analytics
(N-DL/0588/7/0002) (02/2030) (MQA/PSA18316)\
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Introduction
The Fundamental and Applied Sciences Department (FASD), Universiti Teknologi PETRONAS, is offering the Master of Science (MSc) in Predictive Analytics to address the increasing demand for data-driven decision-making across various industries. This programme equips graduates with advanced analytical and computational skills to extract valuable insights from complex data, supporting informed decision-making in business, engineering and other domains.
The MSc in Predictive Analytics aims to bridge the gap between theoretical knowledge and industry applications, preparing graduates to become specialists in data analytics, machine learning, and artificial intelligence. With a strong emphasis on real-world problem-solving, the programme integrates modelling, decision making techniques, and domain-specific applications to support Malaysia’s digital transformation agenda and global industry needs.
This programme is designed for professionals and graduates seeking to enhance their expertise in predictive modelling, big data analytics, and decision intelligence, contributing to the advancement of data science and analytics-driven innovations.
Programme Objectives
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Predictive Analytics specialists with insights to articulate industry problems and provide solutions.
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Predictive Analytics specialists with the potential to become leaders equipped with relevant skills for continuous improvement in industrial processes and performances.
Programme Outcomes
Upon the completion of this programme, the graduates should be able to:
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Demonstrate analytical and critical evaluation of complex information using predictive analytics techniques.
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Apply predictive analytics knowledge and techniques to resolve complex problems.
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Conduct standard practical skills and investigative techniques for problems that required predictive analytics knowledge.
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Communicate and critique knowledge and idea using appropriate techniques to peers, experts, and non-experts.
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Competently use digital technologies to address the implementation of predictive analytics techniques.
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Demonstrate autonomy, independence, and leadership in the context of complex application.
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Exemplify self-advancement through continuous academic or professional development.
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Demonstrate ability to make decision on complex issues based on critical reflections and ethical considerations.
What is ODL & How it is Conducted in UTP
ODL stands for Open and Distance Learning, a way of study remotely that offers flexibility for learning from anywhere, anytime and anyhow with self-directed learning strategies
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In UTP ODL is conducted as below:
• 100% online with self-instructional materials (SIM)
• Live class session for courses taught
• Classes after working hours/over the weekend
• Online open book final exam
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Programme Highlights
Core Specialisation:
- Business Analytics
• Business Intelligence
• Behavioural Analytics
- Predictive Maintenance
• Maintenance Analytics
• Performance Evaluation
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Adjunct Lectures:
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PETRONAS
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Department of Statistics Malaysia (DOSM)
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Bursa Malaysia
Programme Details
Department: Fundamental and Applied Sciences\
Intakes: January, May, and September
Mode of Study: Open & Distance Learning (ODL)
Course Duration: 12 – 36 months
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Entry Requirements
- Candidates must hold a bachelor’s degree (in engineering, science and technology discipline) with minimum CGPA 2.50/4.00, or equivalent qualifications from a recognized university OR
Candidates with bachelor’s degree (other than above disciplines) with minimum CGPA 2.50/4.00, or equivalent qualifications from a recognized university, can be admitted and must pass UTP internal assessment.
- Candidates with bachelor’s degree with minimum CGPA 2.00 but below 2.50, can be admitted and must have five (5) years working experience and pass UTP internal rigorous assessment.
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\ English Requirements
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A minimum TOEFL score of 550 or equivalent.
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A minimum IELTS score of 6.0 or equivalent.
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Native English speakers or holding a degree with English as the medium of instruction may be exempted from requirement (1) and (2).
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Pre-requisite courses
Applicant with a Bachelor's Degree in disciplines other than engineering, science, or technology must complete the following pre-requisite courses:
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Statistics and Applications
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Structured Programming
These courses will be conducted 100% online.
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*Estimated Total Cost Fee*
Local: RM 23,900
International: RM 34,900
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Career Prospects
Predictive Modeler, Business Intelligence Specialist, Researcher, Entrepreneur and Academic\
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Programme Curriculum Structure and Programme Module Synopsis
| The MSc in Predictive Analytics is structured to span three trimesters (one year), accumulating a total of 40 credit hours. | --- | --- | --- | --- | Semester | Classification | Course | Credit Value | 1 | National Requirement Core Discipline Core Discipline Core Discipline | Research Methodology Statistical Analysis Decision Making Techniques Programming and Data Visualisation | 2 4 4 4 | 2 | University Requirement Core Discipline Core Specialisation Industrial Project | Project Management Data Mining and Machine Learning Specialisation 1 Industrial Project 1 | 2 4 3 3 | 3 | Core Discipline Core Specialisation Industrial Project | Forecasting Techniques Specialisation 1 Industrial Project 2 | 4 7 3 | Core Specialisations Courses: Choose any of the following sets A or B for core specialisation |
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Contact
Programme Manager
Ts. Dr. Mohana Sundaram Muthuvalu
Email: mohana.muthuvalu@utp.edu.my
Direct Line: +6053687695
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Academic Executive
Ms Nursuraya M Zulkifli Manisegaran
Email: nursuraya.mzulkifli@utp.edu.my
Direct Line: +6053687681
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General Inquiries
Ms Nurul Asmira Sulaiman
Email: asmira.sulaiman@utp.edu.my
Direct Line: +6053688192