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 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 .
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 .
72.7 % is the reported job growth for data scientists in the last year 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 )
I chose to study data science at Monash because of its reputation for delivering quality education . My lecturers and tutors at the School of IT were very knowledgeable and helpful , and my classes taught me to think outside the box to solve challenges , which prepared me for my career in the IT industry .”
WONG KAI LIN
Bachelor of Computer Science ( Data Science ) Digital Technical Analyst ( SAP Cloud Developer ), Rizing
RM157,000 + is the average base salary per year for a data scientist in Malaysia 2 .
Min requirements
WAM 60 4 , 5
WAM 60 4 , 5
22 % is the estimated increase in salary potential for a data scientist over the next five years 2 .
Course structure
Parts A , B and C ( 96 credit points to complete )
Parts B and C ( 72 points to complete )
• Meet the English language requirements of the University 6 , 7 . The following English proficiency tests are accepted :
Duration
2 years ( FT ), 4 years ( PT )
1.5 years ( FT ) or 3 years ( PT )
– Monash English Bridging – Academic IELTS – 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 Jobstreet . Retrieved April 2023 from jobstreet . com . my / career-advice / role / data-scientist 2 Expert Salary Database , Economy Research Institute . Retrieved April 2023 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 . November 2023
Monash University Malaysia Registration No . 199801002475 ( 458601-U ) DULN002 ( B )
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