Course structure
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 and innovation methods
• Foundations to data science
• Data exploration and visualisation
• Data wrangling
• Statistical data modelling
• Data processing for big data.
Choose one of the following:
• Machine learning
• 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.
ON THE RISE
Data scientists are in-demand in virtually every industry from banking and finance, media and advertising, healthcare to manufacturing and retail. With a master’ s degree in data science from Monash, your career possibilities are endless.
USD96.25 billion is the global data science market size value in 2023 1.
Entry requirements 3
ELIGIBILITY
Entry level 1: An Australian bachelor degree or equivalent, not necessarily in IT
Entry level 2: An Australian bachelor degree or equivalent in a cognate discipline relating to IT, or a business, engineering or science degree with a substantial IT major including Python programming, databases, algorithms, computer architecture, operating systems and networks, and mathematics( including calculus, linear algebra and probability and statistics)
One of the main reasons why I chose Monash was its high QS ranking. Additionally, the university has a strong reputation in IT-related industries, and Monash computer science graduates often receive positive reviews from employers. So far, my study experience has met my expectations; the coursework is well-structured and the learning environment is supportive.”
TAN FAN HWA
Master of Data Science
26 % is the projected CAGR of the global data science market from 2024 to 2030 1.
Min requirements
WAM 60 4, 5
WAM 60 4, 5
RM162,000 is the average base salary per year for a data scientist in Malaysia 2.
Course structure
Parts A, B and C( 96 credit points to complete)
Parts B and C( 72 points to complete)
Duration
2 years( FT), 4 years( PT)
1.5 years( FT) or 3 years( PT)
• Meet the English language requirements of the University 6, 7. The following English proficiency tests are accepted: – Monash English – IELTS( Academic)/ IELTS One Skill Retake( Academic)/ IELTS Online – Overall band score of 6.5 with no band less than 6.0 – TOEFL iBT / TOEFL iBT Paper Edition – A total score of 79 with 12 in Listening, 13 in Reading, 21 in Writing and 18 in Speaking – Pearson Test of English( Academic) – Overall score of 58 with no Communicative Skills lower than 50 – C1 Advanced and C2 Proficiency – Overall score of 176 with no skill score lower than 169.
The above tests must be taken within 24 months prior to the course commencement date.
1 Grand View Research. Retrieved April 2025 from grandviewresearch. com / industry-analysis / data-science-platform-market 2 Expert Salary Database, Economy Research Institute. Retrieved April 2025 from salaryexpert. com / salary / job / data-scientist / malaysia 3 The pathway for Entry Level 1 or Entry Level 2 is subject to an internal assessment of the applicant’ s qualification to conform to the MQA Program Standards for Computing. 4 The final admissions outcome may be subject to further review by the School of IT. 5 The Weighted Average Mark( WAM) is a more precise measurement of your academic performance than the Grade Point Average( GPA). For full details, as well as how to calculate your WAM, visit monash. edu / exams / results / wam 6 Monash University reserves the right to ask you to undertake an approved English proficiency test to meet the English course requirements. The published scores are based on Monash University’ s English requirements and subject to change.
In addition to the University’ s English requirements, the Malaysian government has set English requirements for each course. When you apply, you will be advised if you have met those requirements. 7 Monash University does not accept TOEFL iBT Special Home Edition, Pearson Test of English( Academic) Online and Cambridge Linguaskill General as satisfying the English entry requirement for any Monash course.
monash. edu. my / data-science
The information in this flyer was correct at the time of publication. Monash University Malaysia reserves the right to alter this information should the need arise. Produced by Marketing and Future Students, Monash University Malaysia. April 2025
Monash University Malaysia Registration No. 199801002475( 458601-U) DULN002( B)
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