Master in Data Science (By Coursework & Project)

College of Graduate Studies

Overview

Master in Data Science (By Coursework & Project)
This programme provides advanced knowledge and practical skills in data analytics, machine learning, and statistical modelling. It combines specialised coursework with applied project work to develop strong analytical, programming, and problem-solving capabilities, preparing graduates to extract insights from complex data and pursue professional roles in data science, analytics, and data-driven decision-making across various industries.

About Programme

The Master in Data Science (MDS) is a coursework-based programme designed to equip students with advanced knowledge and practical skills in data analytics, machine learning, data visualisation, and programming. It combines strong theoretical foundations with hands-on, industry-aligned learning and a practical final project, enabling graduates to transform complex data into actionable insights for real-world applications.

The programme offers flexible study options for both working professionals and fresh graduates, supported by strong industry engagement and collaborative projects. Graduates are well prepared for high-demand roles such as data scientist, data analyst, and business intelligence specialist across sectors including finance, healthcare, energy, and manufacturing, while also developing professional, ethical, and leadership competencies.

🗓️ Intakes

January & September

🕒 Duration

1 - 3 years (full-time)

2 - 4 years (part-time)

🪙 Total Programme Fee

RM34,000 - for Malaysian students

RM37,000 - for International students

What You Will Learn

Sem I

Sem II

Sem III

Data Analytics
Advanced Machine Learning
Algorithms and Programming in Python
Elective 1 ***
Research Methodology

Advanced Data Visualisation
Advanced Text Analytics
Elective 2 ***
Elective 3 ***
Project

Project

Note: The project spans Semesters II and III, with submission and evaluation in Semester III.

*** Elective subjects (choose 3 from this category)

Data Governance
Advanced Project Management
Natural Language Processing
Reinforcement Learning

Entry Requirements

1	A Bachelor’s degree in the field or related fields with a minimum CGPA of 2.50 or equivalent as accepted by UNITEN; or
2	A Bachelor’s degree in the field or related field with a CGPA between 2.00 & 2.50, subject to rigorous internal assessment; or
3	A Bachelor’s degree in a non-related field with a minimum CGPA of 2.00, subject to:
a.	Relevant working experience & rigorous internal assessment; or
b.	Passing prerequisite courses as determined by the University; or
4	Other equivalent qualifications recognised by the Malaysian Government & accepted by the UNITEN; or
5	Relevant APEL-A certification from MQA.
6	For International Students: IELTS 6.0/ TOEFL 4.0/ MUET 4.0/ Linguaskill 169

Financial Aid Opportunities

Discover various funding opportunities available to help manage your tuition and campus life expenses.
From merit-based awards to need-based assistance, find the right support system to fuel your success at the university.

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