Overview
Enrolling in the Master of Data Science at Monash University places you at the forefront of one of the most dynamic fields today. This programme is uniquely positioned within the prestigious Group of Eight universities and boasts a dedicated IT faculty, ensuring you receive top-tier education and resources. The course is not just about acquiring technical skills; it also emphasises the importance of creating a positive impact through data-driven solutions. Students will learn from some of Australia’s leading IT professionals, gaining insights that extend beyond traditional classroom learning.
Why Data Science at Monash University?
Monash University is renowned for its commitment to excellence in education, consistently ranking among the top universities globally. The university's strong partnerships with industry leaders enhance the learning experience, providing students with opportunities for networking and professional development. With state-of-the-art facilities and a curriculum that evolves with industry demands, Monash prepares its graduates to meet the challenges of the data science landscape effectively.
Tuition Fee Breakdown
The tuition fees for the Master of Data Science are structured as follows:
- Domestic students: AUD 9,314 per year
- International students: AUD 52,900 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is designed to provide a comprehensive understanding of data science, covering both theoretical and practical aspects. Key modules include:
- Data Analysis and Exploration
- Data Science Project Planning
- Ethical and Legal Considerations in Data Science
- Advanced Data Science Techniques
- Data Lifecycle Management
Students also have the option to exit the programme early with a Graduate Certificate or Graduate Diploma in Data Science, allowing for flexibility based on individual career paths.
Careers with Data Science
Graduates of the Master of Data Science from Monash University are well-equipped to enter various sectors. Alumni have successfully secured positions in major companies and industries, including technology, finance, and healthcare. The skills acquired during the course enable graduates to take on roles such as data analysts, data scientists, and data engineers, contributing significantly to their organisations' strategic decisions and innovations.
Accreditation
- This course is accredited by the Australian Computer Society (ACS). This means you’ll automatically be eligible to become a member, opening doors to invaluable networking and professional development opportunities.
Programme Structure
Courses include:
- Project management
- IT research methods
- Data exploration and visualisation
- Data wrangling
- Statistical data modelling
- Data processing for big data
Key information
Duration
- Full-time
- 18 months
- Part-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
- StartingApply anytime.
Semester one
- As an international student, apply for a place anytime throughout the year
Mid-year:
- Application dates vary by faculty but generally close in mid-June
Language
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Credits
Delivered
Campus Location
- Clayton, Australia
- Subang Jaya, Malaysia
Disciplines
Data Science & Big Data View 55 other Masters in Data Science & Big Data in AustraliaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- CRICOS code: 085349A
- An Australian bachelor degree (or equivalent), not necessarily in IT, with at least a credit (60%) average.
Entry level 2 (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 at least a credit (60%) average.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Monash University and/or in your country of interest, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents52900 AUD / year≈ 52900 AUD / year -
Domestic Applies to you
Applies to youCitizens or residents9314 AUD / year≈ 9314 AUD / year
Additional Details
- Fees for domestic students: Commonwealth supported place (CSP)
- Full fee: A$41,600
Funding
This programme is taught in different countries. Which country are you interested in?
- Australia
- Malaysia
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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