Sydney Master of Data Science
University of Sydney · School of Computer Science · Sydney, Australia- Full-time route
- Camperdown/Darlington
- February and August
Tuition, living, OSHC, SSAF, application and visa.
72 credit points
full-time
2027
band rules apply
international application
eligible Indian master's
What is Sydney Master of Data Science?
Sydney Master of Data Science is a 1.5 years, 72-credit-point postgraduate degree at Camperdown/Darlington. The official 2027 international rate is AUD 60,800 for 48 credit points, which projects to AUD 91,200 across the standard course. The complete tuition-and-living model reaches INR 96.34 lakh, with each AUD component itemised below.
The course concentrates on statistical modelling, machine learning, data engineering and reproducible analysis. It is included as one official full-time master’s, with February 2027 planning based on the course page and Sydney’s published international application dates rather than a rolled-forward assumption.
The Research Organization Registry record for Sydney identifies the awarding university independently. It isn’t documentation of course quality by itself, but it keeps this degree tied to the correct institution rather than a similarly named provider.
How much does Sydney Master of Data Science cost for an Indian student?
The full planning total is AUD 140,494, about INR 96.34 lakh. It combines the 2027 course fee, Australia’s living-funds benchmark across 1.5 years, estimated single OSHC, SSAF, the international application fee and the current Student visa charge. It is a conservative first-pass budget for comparison.
| Item | INR | Local currency | When it is due |
|---|---|---|---|
| Tuition, full programme | INR 62.54 lakh | AUD 91,200 | Charged by enrolled credit load; later rates can rise |
| Living plan, 1.5 years | INR 30.56 lakh | AUD 44,565 | Budgeted throughout study |
| Single-student OSHC estimate | INR 1.03 lakh | AUD 1,500 | Before Confirmation of Enrolment |
| SSAF estimate | INR 39,702 | AUD 579 | Charged by study period, subject to the annual cap |
| International application fee | INR 10,285 | AUD 150 | At application |
| Student visa | INR 1.71 lakh | AUD 2,500 | At subclass 500 application |
| Full-programme planning total | INR 96.34 lakh | AUD 140,494 | Before flights and housing bond |
The AUD 29,710 annual living benchmark is already represented in the living row. It is the student's money, not an extra university fee. Converted at AUD 1 = INR 68.57, derived from ECB EUR reference rates dated 10 September 2026. Later-year tuition can rise; the insurer quote controls OSHC.
Tuition uses 1.5 blocks of 48 credit points at the published 2027 rate of AUD 60,800. Sydney can increase fees annually, so the later-year amount is a transparent planning projection rather than a fixed quote.
The living row extends the current AUD 29,710 Student visa financial-capacity benchmark across 1.5 years. Sydney rent can make real spending higher, especially for a student who chooses a private studio rather than shared housing.
OSHC is compulsory but varies with policy dates and family composition. The estimate is separated so the insurer quote on the offer can replace it without changing the tuition calculation.
Flights, rental bond, placement travel, equipment, exchange spreads and contingency remain outside the table because no single official amount applies to every applicant.
The planning total doesn’t include a flight or refundable rental bond, and it assumes no scholarship or paid work. Those omissions keep variable personal costs separate from the published and statutory amounts.
Can an Indian applicant meet Sydney Master of Data Science entry rules?
Sydney publishes programme-specific academic entry routes for this exact degree. The evidence table below separates prior study, subject preparation and documents. English is IELTS 6.5 overall with 6.0 in each band. No GRE or GMAT requirement is published unless an alternative admission route explicitly names an approved test.
| Requirement | Published rule | What you do |
|---|---|---|
| Earlier degree (India) | a 65% bachelor's in a cognate discipline with a major or minor volume of programming, statistics or quantitative analysis, or Sydney's named Data Science graduate pathway at 65% | Map the Indian award, grades and relevant units to the exact condition |
| Subject preparation (India) | Show readiness for Data science core and Advanced options | Name relevant units, assessed work and marks |
| English (India) | IELTS 6.5 overall with 6.0 in each band | Meet the overall and every band minimum in a current accepted test |
| GRE or GMAT (India) | No condition published | Do not use an optional score to replace academic documentation |
| Documents (India) | Complete academic records and certified translations where needed | Upload all semester marksheets and the award or accepted provisional documentation |
Put every part of the admission rule beside the Indian degree, subject, mark or work record that answers it. This is more reliable than relying on a qualification title alone.
The academic file is strongest when earlier units make statistics, computation and data management visible. A broad subject title needs a faithful syllabus description and its assessed mark.
Sydney can assess international qualifications individually and competitive entry can exceed the minimum. Complete documentation supports assessment but never guarantees an offer.
No aptitude test is listed as a substitute for missing prerequisites. Spend the effort on accurate transcripts, current English documentation and course-specific supporting documents.
Minimum eligibility isn’t an admission prediction. Course capacity, comparative academic merit and complete documentation still affect the decision after the stated threshold has been met.
Research cut-off: 11 September 2026 (Asia/Kolkata). Scope: the on-campus, full-time Master of Data Science at the official master-of-data-science0 slug, not Sydney’s separately delivered online degree.
2027 English: IELTS Academic 6.5 overall, minimum 6.0 in every band. Also accepted in the course record: TOEFL iBT 85 overall (17 reading/listening/speaking, 19 writing) and PTE Academic 64 overall (60 each band).
24cp completed in Sydney’s Graduate Diploma/Graduate Certificate in Data Science with at least 65%, specifically including 12cp Data Science Core and 12cp specialist electives.
Unspecified specialisation: 18cp selected from the Data Science specialist pool. A specialisation is optional; the handbook permits specialist units without one.
The course page cites 1st in Australia and 36th globally for Computer Science and Information Systems in the 2025 QS subject ranking. This ranks the subject, not the master’s itself.
Three checks that can stop a Master of Data Science application
A degree title is not a subject map
Prior study has to support the first-year academic load; broad Indian unit names are not self-explanatory and need marks plus faithful syllabus context.
Every English band remains binding
The published requirement is IELTS 6.5 overall with 6.0 in each band. A sufficient overall score cannot repair a band below the minimum.
The course-specific limitation is real
The published route has conditions beyond a degree title. For this course, academic fit must be shown before later work towards reproducible applied analysis.
How should an Indian applicant apply for Sydney Master of Data Science?
The correct application channel is Sydney’s international application route after checking this exact course and intake. The standard Semester 1 2027 international deadline is 18 December 2026 for international Semester 1 applications; a course-page deadline overrides the general calendar. That order leaves the financial and visa handovers visible.
The sequence begins with the exact international full-time course, prepare academic and English evidence, pay the application fee, clear offer conditions, arrange tuition and OSHC, receive the CoE, then apply for the Student visa.
| Step | Task | Allowance | Why it matters |
|---|---|---|---|
| 01 | Audit academic fit | 14 days | Map the Indian degree and prerequisites to the course rule. |
| 02 | Complete English evidence | 90 days | Leave room for results and one retake. |
| 03 | Prepare documents | 21 days | Collect marksheets, award, passport and course-specific evidence. |
| 04 | Submit to Sydney | 1 day | Use the international online application and pay AUD 150. |
| 05 | Clear conditions and obtain CoE | 45 days | Accept the offer and pay the stated tuition and OSHC amounts. |
| 06 | Lodge the Student visa | 60 days | Use the CoE, funds, health cover and Genuine Student evidence. |
The allowances are preparation estimates, not University of Sydney processing promises; the published intake and closing date above remain the planning anchors.
For Master of Data Science, decide the academic route before paying. A complete file should show the award, every marksheet, English evidence and any prerequisite syllabus the course needs.
Sydney’s general dates apply only when the course does not state another close. Semester 2 2027 has a standard 29 May 2027 international deadline, but availability must still be confirmed on the course page.
A submission six to eight weeks before the controlling deadline leaves a useful buffer. Assessment queries, English results, payments, the CoE and visa processing sit outside the final submission click.
After an offer, the written payment schedule and insurer quote control. Preserve enough cash for the visa fee and living funds rather than treating the first tuition payment as the whole pre-departure budget.
Sydney states its general timing rule directly.
“Generally, applications open two years before the semester start date. Closing dates are listed in the following table.”University of Sydney application dates
The exact course exception still controls where one is published.
If the official course page names a different date, limited intake or earlier close, use it instead of the standard university calendar.
What jobs can follow Sydney Master of Data Science?
The curriculum can support data science, machine learning, analytics, data engineering and quantitative consulting. The inspectable result is a data science capstone that exposes the question, code, model choice, validation and limitations; no exact-course employment rate or salary guarantee is published, so none is inferred.
| Measure | Figure | Basis |
|---|---|---|
| Academic direction | Data science core leading into Capstone | Official Master of Data Science course profile |
| Inspectable output | a data science capstone that exposes the question, code, model choice, validation and limitations | Course structure and assessed work |
| Position directions | data science, machine learning, analytics, data engineering and quantitative consulting | Course Structure-linked directions, not a job outcome promise |
| Guaranteed job outcome | None published | No audited exact-course guarantee located |
Position examples help with portfolio and job research. They do not show what every graduate obtains.
The strongest documentation is a data science capstone that exposes the question, code, model choice, validation and limitations. The brief, method, feedback and result should be retained so a recruiter can inspect what the degree title alone cannot show.
One coherent direction should point towards data science, machine learning, analytics, data engineering and quantitative consulting. A scattered option list does not become more employable merely because it covers more topics.
An eligible Indian citizen completing a qualifying Australian master’s can receive a three-year Post-Higher Education Work visa under the Australia;India arrangement. The route creates temporary work time, not employment or permanent residence.
No salary is quoted because a general occupation average would not prove what a new international graduate from this exact course earns.
The Home Affairs post-study work rule can give an eligible Indian master’s graduate three years on the Post-Higher Education Work stream. It can’t guarantee employment, sponsorship or a later visa.
Course identifiers: MADATASC2000; structured-data record DMADATASC2000-0; CRICOS 108764C.
No course-specific application deadline is published. Sydney’s standard international postgraduate deadlines therefore apply: Semester 1 2027; 18 December 2026; Semester 2 2027; 29 May 2027. Apply early because courses can close at capacity.
Sydney defines a cognate discipline as significant study in computer programming or statistics/quantitative analysis, equivalent in volume to a major or minor. An AQF Level 8 or higher cognate qualification may earn up to 24cp of reduced volume of learning (0.5 year). The 65% threshold is minimum eligibility, not a guaranteed offer. No work-experience, interview, portfolio or GRE/GMAT condition is stated.
DATA5709 requires a 75+ WAM. The research pathway likewise requires a 75+ WAM after the stated core/specialist preparation and departmental permission. The split A/B capstone is described for part-time candidates in the detailed prerequisite wording; a full-time plan should not promise that sequence without checking enrolment eligibility.
Sydney’s live wording says ACS accreditation is at conditional provisional professional level until the end of 2026 and that a 2027 reaccreditation update was expected in May 2026. That wording remains live in September 2026, so do not describe the course as confirmed ACS-accredited for 2027 until Sydney publishes a dated outcome.
Who is Sydney Master of Data Science for, and who should avoid it?
A good fit can prove the entry route, values the assessed capstone and can finance AUD 140,494 without assumed paid work, with a cash reserve for variable costs. A poor fit relies on ranking, scholarship or migration instead of the course structure.
| Verdict | Your background | Why |
|---|---|---|
| Strong fit | Academically prepared applicant | Previous study already supports statistical modelling, machine learning, data engineering and reproducible analysis. |
| Strong fit | Outcome-led applicant | The next step can use reproducible applied analysis. |
| Needs evidence | Scholarship-dependent applicant | The 20% Sydney International Student Award is not automatic for every Indian applicant and should not be in the base budget. |
| Needs evidence | Funding at the limit | AUD 140,494 excludes flights, housing bond and contingency. |
| Do not shortlist | Applicant blocked by the limitation | This is not a coding-from-zero conversion degree. The accelerated timetable assumes quantitative readiness, and applicants missing calculus, statistics or programming face a costly attempt to learn prerequisites alongside advanced work. |
| Do not shortlist | Applicant needing a guaranteed job or migration result | No degree-level promise supports that assumption. |
A prepared entrant should recognise the foundation behind data science core and still gain new depth from statistics, computation and data management. Needing the whole first block as remediation is a warning.
Later study develops reproducible applied analysis. The final work has to serve the intended professional or research direction rather than becoming an unrelated graduation task.
The deciding comparison joins the INR 96.34 lakh plan to a visible academic and career use. The case should survive without part-time income, a scholarship, job outcome or later permanent visa.
Duration and volume: 1.5 years full-time, 72 credit points. The University’s international guide lists February and August commencement.
a three-year Australian bachelor’s degree, or equivalent, in a cognate discipline demonstrating computer-programming or statistics preparation, with at least a 65% credit average;
The 72cp professional pathway comprises 30cp core (18cp Data Science core plus 12cp professional core), 12cp capstone, at least 18cp specialisation or Data Science specialist study, and up to 12cp elective/foundation study. The research pathway comprises 30cp core, 24cp research and 18cp specialisation/specialist study, with no foundation or elective credit.
All units above are the complete published category lists, but availability and prerequisite chains matter. For example, advanced machine learning, deep learning, data engineering and several systems electives require earlier programming, maths, database or computing study.
This is not a beginner-friendly generic analytics degree: direct admission expects a major/minor-equivalent base in programming or statistics/quantitative analysis, while advanced units add substantial programming, maths and database prerequisites.
What does Sydney Master of Data Science course structure contain?
The Master of Data Science carries 72 credit points. The table names every coded unit in the current official structure sweep; students complete only the compulsory units and permitted choices required by their approved plan. The live handbook controls prerequisites and availability.
| Code | Component | Credit points | Where it sits |
|---|---|---|---|
| COMP5048 | Visual Analytics | 6 | |
| COMP5310 | Principles of Data Science | 6 | |
| STAT5003 | Computational Statistical Methods | 6 | |
| INFO5990 | Professional Practice in IT | 6 | |
| INFO5995 | Introduction to Cybersecurity | 6 | |
| COMP5046 | Natural Language Processing | 6 | |
| COMP5318 | Machine Learning and Data Mining | 6 | |
| COMP5328 | Advanced Machine Learning | 6 | |
| COMP5329 | Deep Learning | 6 | |
| COMP5338 | Advanced Data Models | 6 | |
| COMP5339 | Data Engineering | 6 | |
| COMP5349 | Cloud Computing | 6 | |
| INFO5060 | Data Analytics and Business Intelligence | 6 | |
| COMP9001 | Introduction to Programming | 6 | |
| COMP9017 | Systems Programming | 6 | |
| COMP9110 | System Analysis and Modelling | 6 | |
| COMP9120 | Database Management Systems | 6 | |
| COMP9121 | Design of Networks and Distributed Systems | 6 | |
| COMP9123 | Data Structures and Algorithms | 6 | |
| INFO6007 | Project Management in IT | 6 | |
| STAT5002 | Introduction to Statistics | 6 | |
| COMP5047 | Pervasive Computing | 6 | |
| COMP5216 | Mobile Computing | 6 | |
| COMP5313 | Large Scale Networks | 6 | |
| COMP5347 | Web Application Development | 6 | |
| COMP5348 | Enterprise Scale Software Architecture | 6 | |
| COMP5416 | Advanced Network Technologies | 6 | |
| COMP5425 | Multimedia Retrieval | 6 | |
| COMP5426 | Parallel and Distributed Computing | 6 | |
| COMP5427 | Usability Engineering | 6 | |
| CSYS5010 | Introduction to Complex Systems | 6 | |
| CSYS5030 | Information Theory and Self-Organisation | 6 | |
| DATA5207 | Data Analysis in the Social Sciences | 6 | |
| ELEC5304 | Intelligent Visual Signal Understanding | 6 | |
| ELEC5305 | Acoustics, Speech and Signal Processing | 6 | |
| ELEC5306 | Video Intelligence and Compression | 6 | |
| ELEC5514 | IoT Wireless Sensing and Networking | 6 | |
| ELEC5517 | Software Defined Networks | 6 | |
| ELEC5618 | Software Quality Engineering | 6 | |
| PHYS5033 | Environmental Footprints and IO Analysis | 6 | |
| DATA5703 | Data Science Capstone Project, | 6 | |
| DATA5707 | Published unit in the current course table | 6 | |
| DATA5708 | Data Science Capstone A/B, | 6 | |
| DATA5709 | Data Science Capstone Project; Individual | 6 | |
| DATA5702 | Data Science Research Project A (12cp | 12 | |
| DATA5704 | Data Science Research Project B (6cp), | 6 | |
| INFO5993 | Computer Science Research Methods (6cp | 6 | |
| Total | 72 |
The note “Core, selective, elective or pathway status depends on the published course rules and chosen study plan.” applies to 47 components in this table.
- Complete 72 credit points in the approved full-time plan.
- Follow compulsory units and only the permitted option combinations.
- Recheck unit availability, prerequisites and placement compliance before enrolment.
The study plan moves from Data science core into Capstone. Optional units are useful when they reinforce that progression instead of creating an unrelated list.
Sydney can amend units and availability. The live handbook structure controls the final plan before offer acceptance; a programme-level block summary cannot replace the enrolled plan.
Should an Indian applicant shortlist Sydney Master of Data Science?
Shortlist Master of Data Science when the previous degree meets the exact academic route, the final capstone serves the intended next step, the intake remains available, and the AUD 140,494 plan works without assumed earnings or a scholarship, with a realistic contingency.
The convincing case links earlier documentation to statistics, computation and data management, then shows why reproducible applied analysis matters after graduation.
The difficult point is specific: This is not a coding-from-zero conversion degree. The accelerated timetable assumes quantitative readiness, and applicants missing calculus, statistics or programming face a costly attempt to learn prerequisites alongside advanced work. Funding is the second constraint because the INR 96.34 lakh plan excludes flights and a refundable housing bond.
- Sydney lists Master of Data Science as a 1.5 years full-time course carrying 72 credit points.
- The 2027 international tuition rate is AUD 60,800 per 48 credit points; projected full tuition is AUD 91,200.
- The full planning case is AUD 140,494, about INR 96.34 lakh, before flights and housing bond.
- The English requirement is IELTS 6.5 overall with 6.0 in each band.
- Published intake availability is February and August, subject to the exact 2027 course page.
- An eligible Indian master's graduate can receive three years on Australia's Post-Higher Education Work visa.
Frequently asked questions
How much is Sydney Master of Data Science for Indian students?
The 2027 rate is AUD 60,800 per 48 credit points. Projected tuition for 72 credits is AUD 91,200. Adding 1.5 years of living funds, estimated single OSHC and SSAF, the AUD 150 application and AUD 2,500 visa gives AUD 140,494, about INR 96.34 lakh, before flights and housing bond.
What is the 2027 deadline for Sydney Master of Data Science?
The controlling published date used here is 18 December 2026 for international Semester 1 applications. Course-specific dates override Sydney's general international calendar, and a closed date is not rolled forward. Apply earlier where the cycle remains open to leave time for assessment, offer conditions, payment, CoE and visa.
What IELTS score is needed for Sydney Master of Data Science?
The current course requirement is IELTS 6.5 overall with 6.0 in each band. Sydney accepts specified alternatives, each with its own component rules and validity window. Meet every required band, not only the overall score, and recheck the course page before submission because professional degrees can impose higher requirements.
Does Sydney Master of Data Science require GRE or GMAT?
No GRE or GMAT requirement is published for this programme. Admission instead turns on a 65% bachelor's in a cognate discipline with a major or minor volume of programming, statistics or quantitative analysis, or Sydney's named Data Science graduate pathway at 65%, English and complete supporting evidence. An optional aptitude score cannot replace missing prerequisites, subject preparation, professional checks or Sydney's assessment of the international qualification.
Is Sydney Master of Data Science full time?
Yes. This page covers the 1.5 years, 72-credit-point full-time route at Camperdown/Darlington. Any part-time listing is outside this record. International students must also follow the study-load and enrolment conditions attached to their Confirmation of Enrolment and Student visa.
Can an Indian student work in Australia after Sydney Master of Data Science?
An eligible Indian citizen completing a qualifying Australian master's can receive a three-year Post-Higher Education Work visa under the Australia;India arrangement. The applicant must meet the Australian study, age, English, health and other rules. The visa permits temporary work but does not guarantee a job or permanent residence.
Sources
These sources support the programme, admission, cost, experience and immigration information used on this page.
Sources checked on September 11, 2026. The next intake covered here is 2027: February and August.
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