Science
Master of Data Science
Learning Mode
Full Time
Duration
1.5 – 2 Years (depending on prior qualifications)
Start date
February, July
Qualification
Master Degree (AQF Level 9)
Fees
AUD 52,900
Location
Clayton Campus
About the Course
The Master of Data Science at Monash University is an advanced postgraduate program designed to develop highly skilled data professionals capable of extracting meaningful insights from complex datasets. This degree will equip you with a deep understanding of the theories, methodologies, and computational tools essential for working with big data. You will learn to apply cutting-edge statistical, machine learning, and programming techniques to solve real-world problems across diverse industries.
This flexible course offers pathways for students from various academic backgrounds, including those with a strong quantitative or computing undergraduate degree. You will engage with advanced topics such as data management, data mining, predictive analytics, and data Visualisation. The program culminates in either a research project or an industry placement, providing invaluable practical experience and preparing you for leadership roles in the rapidly expanding field of data science.
Career prospects
Graduates of the Master of Data Science are in high demand across virtually every sector, including technology, finance, healthcare, consulting, and government. You will be prepared for specialist roles that leverage your expertise in data analysis, interpretation, and strategic decision-making. This qualification will position you to drive innovation and provide critical data-driven solutions in a competitive global market.
Why choose Data Science at Monash?
Leading-edge curriculum
Study AI, machine learning, and big data through a curriculum blending theory and hands-on application.
Strong industry connections
Gain relevant skills and connections through internships, real-world projects, and Monash’s powerful industry partnerships.
Flexible pathways & research opportunities
Choose coursework or research streams and contribute to cutting-edge data science discoveries with expert supervision.
Course Overview
The Master of Data Science (C6002) is a comprehensive postgraduate degree designed to provide advanced knowledge and practical skills in data science. The course is typically 1.5 to 2 years full-time, depending on your prior qualifications, and is structured to accommodate students from various academic backgrounds. It aims to develop a deep understanding of data analysis, interpretation, and application.
The program includes:
- Foundational Studies: For students with less direct background, bridging units in mathematics, statistics, and programming are offered.
- Core Data Science Units: Advanced studies in statistical modelling, machine learning algorithms, data management, and ethical data practices.
- Specialization and Application: Elective units allow for deeper dives into areas like business analytics, bioinformatics, or computational science, often culminating in an advanced research project or industry-based learning component.
This structure ensures graduates are equipped with a robust theoretical framework and practical expertise to excel as data professionals.
Course Duration
Length of the course
- 2 years full-time (96 credit points) for students with a Bachelor’s degree (non-cognate) or equivalent.
- 1.5 years full-time (72 credit points) for students with a Bachelor’s degree in a cognate discipline (e.g., IT, Science, Engineering, Business with significant quantitative component) or a relevant graduate certificate/diploma.
Mode of Study for international students:
- Full-time enrolment is generally required for international students to comply with visa regulations.
Course Curriculum
The Master of Data Science curriculum is designed to provide both a broad foundation and specialised knowledge in the rapidly evolving field of data science. The structure varies slightly based on entry points (96-point or 72-point program).
- Core Data Science Units These units are fundamental to all students, covering essential topics such as: Data management and programming, Statistical methods for data science, Machine learning, Big data and cloud computing, and Data Visualisation. These provide a robust toolkit for data professionals.
- Specialization and Electives Students select elective units to deepen their knowledge in specific areas or broaden their understanding across various applications of data science. Options typically include:
- Advanced Machine Learning
- Deep Learning
- Business Analytics
- Geographic Information Science
- Optimization
- Network Science
- Research or Professional Practice The program culminates in either a significant data science research project (for research-oriented students) or an industry-based learning (IBL) project, providing valuable real-world experience and portfolio development.
Admission Requirements
Entry Criteria
- Academic qualifications Applicants must have completed one of the following:
- A Bachelor’s degree in a cognate discipline (e.g., IT, Science, Engineering, Business with significant quantitative component) with a WAM (Weighted Average Mark) of 65% or equivalent, for the 1.5-year program.
- A Bachelor’s degree in any discipline with a WAM of 65% or equivalent, and relevant work experience (e.g., 2 years full-time equivalent in an IT/data-related role), for the 2-year program.
- A relevant Graduate Certificate or Graduate Diploma with a WAM of 65% or equivalent.
- Prerequisite Knowledge (for 2-year program) Students entering the 2-year program may be required to complete foundational units in mathematics, statistics, and/or programming.
Language Proficiency
- English language requirements (e.g., IELTS, TOEFL) For international applicants, demonstrated proficiency in English is mandatory. This is typically evidenced by:
- IELTS Academic: Overall band score of 6.5, with no band less than 6.0.
- TOEFL iBT: Minimum score of 79, with specific minimum scores for reading (13), listening (12), speaking (18), and writing (21).
- PTE Academic: Overall score of 58, with no communicative skill score less than 50.
Fees and Funding
Tuition Fees:
- AUD 52,900 (Postgraduate – per 1 year full-time for international students).
Scholarships and Bursaries: Monash University offers a comprehensive range of scholarships and financial aid opportunities to support eligible students in their Master of Data Science studies. These include:
- Monash Graduate Scholarships: Competitively awarded scholarships for high-achieving postgraduate students, often supporting research components.
- Faculty of IT Scholarships: Specific scholarships for students undertaking postgraduate studies within the Faculty of Information Technology.
- Monash International Tuition Scholarship (MITS): Awarded based on academic merit to international students undertaking research degrees.
- Various other bursaries and support schemes are available based on specific eligibility criteria, designed to assist students with their study costs and living expenses.
Career Opportunities
Potential job roles and industries Graduates of the Master of Data Science program are in exceptionally high demand across a vast array of industries and sectors, equipped with advanced analytical, computational, and strategic thinking skills. The program prepares you for leadership and specialist roles in the rapidly evolving data economy.
Common career paths include: Data Scientist, Machine Learning Engineer, Business Intelligence Developer, Data Analyst, Big Data Engineer, Predictive Modeler, AI Specialist, Analytics Consultant, Quantitative Analyst, and Research Scientist. These roles span sectors such as technology, finance (FinTech), healthcare, marketing, e-commerce, government, logistics, and research institutions, offering dynamic and impactful career trajectories globally. The skills gained are highly transferable, allowing graduates to innovate and solve complex problems in almost any industry.
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