Introduction

Discipline

Data Science

Program

Master's Degree Program

Year Established

2024

Qualification Awarded

Master of Data Science

Awarding Institution

Monash University

Recognition of Qualification

Malaysian Qualifications Agency (MQA) and Qualification Accreditation Organisation

Course Duration

1.5-2 years (full-time) or 3-4 years (part-time)

Intake

February

Class Location

Monash University Malaysia

Specialty

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.

Course Syllabus

Major Subjects

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 the 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)

These studies focus on 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.

Elective Subjects

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.

Entry Requirement

To enter Monash University, you must satisfy particular academic, English language and age requirements.

To apply for the Master of Data Science, you must meet either one of the criteria below:

Entry level 1: 96 points to complete (Duration: 2 years full-time, 4 years part-time)
An Australian bachelor degree (or equivalent), not necessarily in IT, with a minimum WAM 60.

Entry level 2: 72 points to complete (Duration: 1.5 years full-time, 3 years part-time)
An Australian bachelor degree (or equivalent) in a cognate discipline relating to IT, or a business, engineering or science degree with an IT major including Python programming, databases, algorithms, computer architecture, operating systems and networks, and mathematics (including calculus, linear algebra and probability and statistics) with a minimum WAM 60.

Student

Achievements of Students

Course Fees

Budget

< RM15000 (estimated total amount of the tuition and miscellaneous fees for the entire program)

Tuition Fee

RM65,500 for international students.

Application Fee

Application (once only) - RM100

Registration Fee

Registration (once only) - RM200

Other Fees

General amenities (per semester) - RM100

The fee listed above is only for reference. For the actual information of the tuition fees, please click here to inquire.

Course Inquiry

http://www.monash.edu.my/info

Monash University Malaysia

蒙纳士大学马来西亚校区