Master of Data Science
Information and Communication Technologies (ICTs)
Gain skills to manage, analyse and process data, expanding your knowledge of its analytical, organisational and computational aspects. Find innovative solutions to some of the biggest challenges facing the world today and make lives better. Help provide the evidence needed to change minds and transform businesses, communities and countries. At Monash, you’ll learn from and work with some of Australia’s best IT experts. You won’t just be exposed to cutting-edge technical knowledge and know-how, you’ll be adopting a mindset focused on creating a positive impact wherever you go. 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. Outcomes of the Master of Data Science Through the course, you’ll learn how to: analyse the lifecycle of data through an organisation apply major theories in data analysis and exploration in common contexts and c
Official- Duration
- 2 years
- Qualification
- Masters Degree
- AQF 9
- Campus
- Clayton
- VIC · +1 more campus
- Course code
- CRICOS 085349A
Campus images supplied directly by the institution.
Course overview
Gain skills to manage, analyse and process data, expanding your knowledge of its analytical, organisational and computational aspects. Find innovative solutions to some of the biggest challenges facing the world today and make lives better. Help provide the evidence needed to change minds and transform businesses, communities and countries. At Monash, you’ll learn from and work with some of Australia’s best IT experts. You won’t just be exposed to cutting-edge technical knowledge and know-how, you’ll be adopting a mindset focused on creating a positive impact wherever you go. 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. Outcomes of the Master of Data Science Through the course, you’ll learn how to: analyse the lifecycle of data through an organisation apply major theories in data analysis and exploration in common contexts and c
Entry requirements
Requirements are recorded per intake year and per audience. Meeting them does not guarantee an offer.
Entry level 1: Duration: 2 years full-time, 4 years part-time (96 points to complete)An Australian bachelor degree (or equivalent), not necessarily in IT, with at least a credit (60%) average. Entry level 2: Duration: 1.5 years full-time, 3 years part-time (72 points to complete)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. Planning reference: missing 2027 requirements use the latest published requirements from 2026; newer explicit 2027 requirements take precedence.
English language
Band minimums apply in addition to the overall score.
- IELTS AcademicOverall 6.5L 6 · R 6 · W 6 · S 6
- PTE AcademicOverall 58L 50 · R 50 · W 50 · S 50
- TOEFL iBTOverall 79L 12 · R 13 · W 21 · S 18
Additional requirements
Academic entry requirement
Entry level 1: Duration: 2 years full-time, 4 years part-time (96 points to complete)An Australian bachelor degree (or equivalent), not necessarily in IT, with at least a credit (60%) average. Entry level 2: Duration: 1.5 years full-time, 3 years part-time (72 points to complete)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.
Additional entry requirement
Recognised bachelor-equivalent qualification; course-specific score, discipline and additional requirements; English proficiency.
Intakes and tuition
Tuition is recorded per intake with the institution's own basis. Superseded rows are kept so fee changes stay visible.
| Intake | Campus | Starts | Applications close | Tuition | For |
|---|---|---|---|---|---|
| 2027 · Semester 2 | Other | — | — | $52,900per year | International students |
| 2027 · Semester 2 | Clayton | — | — | — | International students |
| 2027 · Semester 1 | Other | — | — | — | International students |
| 2027 · Semester 1 | Clayton | — | — | — | International students |
Where it is taught
Other
VIC
References
Official course page, institution website and the sources behind this profile.
- Master of Data Sciencemonash.edu
- Monash Universitymonash.edu
- CRICOS provider recordOfficial source
- 2027 International Undergraduate Course GuideOfficial source
- Monash Bachelor of Nutrition Science Honours FAQOfficial source
- Monash English language requirementsOfficial source
- Monash minimum entry requirementsOfficial source
- Academic entry requirements - Graduate ResearchOfficial source
- Monash inbound Study Abroad and Exchange requirementsOfficial source
- Monash Bachelor of Design Honours progression requirementOfficial source
- Monash Bachelor of Health Science (Honours) M3706Official source
- Monash Bachelor of Paramedicine (Honours) M3707Official source
- Monash 2027 international course pagesOfficial source
- Monash academic entry requirementsOfficial source
- Monash College Diploma academic entry requirementsOfficial source
- QS World University Rankings 2027Official source
- Monash Emergency Health (Paramedic) Honours handbookOfficial source