2 years

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Monash University Malaysia
Intakes : Feb
Duration : 2 years
Award : Monash University Malaysia
Why Apply for this course

The Master of Data Science expands your knowledge of the analytical, organisational and computational aspects of data. You'll learn to manage data and gain an understanding of its impact on society.

The core coursework covers data science objectives, data analysis, data pre-processing and visualisation. You can then build deeper skills with data science electives such as machine learning, learning from semi-structured data like text, and big data handling.

Is this course for you?

Step 1 Check Entry Requirement
Degree CGPA 2.50
Step 2 Check Course Fees
Estimated fees is RM 59,200
Step 3 Check Nett Fee with Scholarship
Scholarships available: 2 Awards
Step 4 Determine Your Best Option
Compare Computer Science courses & estimated total fee across 13 institutions with 16 awards

Entry Requirements


Registration Fee
MYR 300
Resource Fee
MYR 400
Tuition Fee (Home)
MYR 58,500
Estimated Total Fees
MYR 59,200

Awards & Scholarships

Course Content

The Master of Data Science comprises 96 credit points structured into three parts:

Part A. Foundations for advanced data science studies (24 credit points)

These studies will provide an orientation to the field of data science at graduate level. They are intended for students whose previous qualification is not in a relevant field.

  • Introduction to databases
  • Algorithms and programming foundations in Python
  • Introduction to computer architecture and networks
  • Mathematical foundations for data science.

Part B. Core master's studies (48 credit points)

These studies draw on best practices within the broad realm of data science practice and research. You will gain a critical understanding of theoretical and practical issues relating to data science.

  • Project management
  • IT research methods
  • Introduction to data science
  • Data exploration and visualisation
  • Data wrangling
  • Statistical data modelling
  • Data processing for big data.

Choose one of the following:

  • Machine learning
  • Data analysis for semi-structured data
  • Malicious AI.

Part C. Advanced practice (24 credit points)

The focus of these studies is professional or scholarly work that can contribute to a portfolio of professional development. You have two options:

  • Industry experience: A program of coursework involving advanced study and an industry experience studio project
  • Master’s thesis: A research pathway including a thesis. If you wish to use this course as a pathway to a higher degree by research you should take this option.

Interested in

Computer Science

from Monash, Bandar Sunway?

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