UTS Master of Data Science and Innovation
University of Technology Sydney · Transdisciplinary School · Sydney, Australia- Full time
- City campus
- English
Tuition, statutory living amount, visa and application fee; health cover and flights excluded.
AUD 105,480 across 4 sessions
4 full-time sessions
writing 6.0
outside Australia
What is UTS Master of Data Science and Innovation?
The Master of Data Science and Innovation is a 2 years programme in Sydney with published 2027 tuition of AUD 26,370 / session. Master of Data Science and Innovation combines the taught sequence with the final work published for this exact award. The complete planning total shown here is INR 114.10 lakh.
The course centres on statistical thinking, machine learning, data storytelling, innovation practice and transdisciplinary projects. Data-science foundations move through machine learning and visual narrative into an Innovation Lab and chosen discipline-specific electives. UTS lists course code C04372 and CRICOS code 084268K; its 2027 Handbook structure is the source for the named course structure entries below.
Master of Data Science and Innovation doesn’t guarantee admission, isn’t a job offer and can’t replace the published academic preparation or a workable funding plan.
How much does UTS Master of Data Science and Innovation cost for an Indian student?
The current full-course planning baseline is AUD 167,500, approximately INR 114.10 lakh. It combines AUD 105,480 in 2027-rate tuition, AUD 29,710 per year for the statutory living amount, the AUD 2,500 visa charge and the AUD 100 application fee. OSHC, flights, rental bond and personal extras remain outside it.
| Item | INR | Local currency | When it is due |
|---|---|---|---|
| Full-programme tuition | INR 71.85 lakh | AUD 105,480 | AUD 26,370 per 24-credit-point session across 4 sessions at the 2027 rate |
| Living-cost amount | INR 40.48 lakh | AUD 59,420 | Statutory annual amount across 2 years |
| Student visa application | INR 1.70 lakh | AUD 2,500 | Primary applicant charge from 1 July 2026 |
| Application charge | INR 6,812 | AUD 100 | Non-refundable direct UTS fee |
| Gross planning baseline | INR 114.10 lakh | AUD 167,500 | Before flights, OSHC and spending above the statutory amount |
The AUD 29,710 amount is the visa financial-capacity living figure, not a promise that it covers a particular Sydney lifestyle or rent contract. Australian-dollar items use AUD 1 = INR 68.12, derived from European Central Bank reference rates dated 14 September 2026. Currency movement will change the rupee cost.
The AUD 29,710 amount is the visa financial-capacity living figure, not a promise that it covers a particular Sydney lifestyle or rent contract. Australian-dollar items use AUD 1 = INR 68.12, derived from European Central Bank reference rates dated 14 September 2026. Currency movement will change the rupee cost.
The UTS international summary table lists AUD 26,370 for each 24-credit-point session in 2027. Across 4 sessions, the gross tuition baseline is AUD 105,480. Later sessions may cost more, so this same-rate arithmetic isn’t a fixed-price quote.
The living component uses AUD 29,710 a year from the Australian financial-capacity instrument. UTS’s Sydney cost guidance warns that the city is expensive. The statutory figure isn’t a promise that it covers a chosen rent or lifestyle.
What are UTS Master of Data Science and Innovation entry requirements for India?
The UTS admission record for Master of Data Science and Innovation separates qualification documentation from English documentation. Readiness for Data Visualisation and Narratives and Research Paper 1 has to be visible in the academic file, while UTS applies the detailed threshold and any experience or portfolio route shown below.
| Requirement | Published rule | What you do |
|---|---|---|
| Prior study for Data Visualisation and Narratives (India) | A recognised bachelor's degree in any discipline with GPA 4/7, or a bachelor's plus two years in a relevant occupation, or a recognised qualification in a relevant discipline | Map the academic record to Data Visualisation and Narratives and Innovation Lab: Research Project |
| Academic test before Research Paper 1 (India) | GPA 4/7 in any recognised bachelor's degree, or the documented relevant-study or work pathway | Submit every result used to establish readiness for Research Paper 1 |
| English for Business Analytics (India) | IELTS Academic 6.5 overall with 6.0 in writing | Meet the overall and writing scores before the Business Analytics sequence |
| Extra documentation for Applied Data Science (India) | No general GRE or GMAT requirement | Use work or portfolio documentation only when the Master of Data Science and Innovation rule requests it |
| Programme admission chances (India) | University of Technology Sydney does not publish a programme-level intake size or acceptance rate for Master of Data Science and Innovation on the official pages checked on 2 November 2026. | Treat admission as a requirements decision, not a published probability. |
| Backlogs (India) | No blanket backlog limit is published for Master of Data Science and Innovation; the complete transcript and awarded degree are assessed. | Disclose every attempt and backlog in the official transcript. |
| Three-year Indian bachelor's (India) | No blanket statement accepting every three-year Indian bachelor's is published for Master of Data Science and Innovation. | Ask Admissions for a written equivalence decision before paying non-refundable costs. |
| Indian grade bar (India) | The programme's published academic minimum applies, but University of Technology Sydney does not publish a universal Indian CGPA or percentage conversion for this course. | Submit the grading scale and let the university assess equivalence. |
| GRE or GMAT (India) | No GRE or GMAT requirement is published for Master of Data Science and Innovation unless a row above states otherwise. | Do not take either test without a written programme requirement. |
| Scholarships for Indian applicants (India) | No scholarship reserved for Indian applicants is promised on the Master of Data Science and Innovation programme page. | Use only awards whose nationality and programme rules explicitly include you. |
Data Visualisation and Narratives is the first academic record-facing readiness test for Master of Data Science and Innovation. UTS’s actual admission route is a recognised bachelor’s degree in any discipline with gpa 4/7, or a bachelor’s plus two years in a relevant occupation, or a recognised qualification in a relevant discipline. An Indian file should identify the qualifying award, every subject result and the grading legend, then add work or portfolio documentation only where this course explicitly uses it.
Innovation Lab: Research Project and Research Paper 1 make the academic comparison more precise than the degree title. Earlier assessed work should show enough preparation for statistical thinking and machine learning; a broad claim of interest cannot substitute for a named discipline, the pass-history rule or an experience period.
Admission chances: University of Technology Sydney does not publish a Master of Data Science and Innovation cohort size, acceptance rate or typical admitted GPA on the official pages checked on 2 November 2026. Meeting the minimum is not an offer guarantee.
“A recognised bachelor's degree in any discipline with GPA 4/7, or a bachelor's plus two years in a relevant occupation, or a recognised qualification in a relevant discipline”University of Technology Sydney official programme requirements
How should an Indian student apply for UTS Master of Data Science and Innovation in 2027?
Applicants use the UTS international online application portal with certified academic and English evidence. For an applicant outside Australia, the standard closing dates are 30 November 2026 for Autumn; 30 April 2027 for Spring. UTS warns that incomplete files take longer and course availability can change.
Apply through UTS's international portal. The current application fee is AUD 100. The outside-Australia closing dates are 30 November for Autumn and 30 April for Spring; the course page controls any exception.
| Step | Task | Allowance | Why it matters |
|---|---|---|---|
| 01 | Complete accepted English evidence | 60 days | The published line is IELTS Academic 6.5 overall with 6.0 in writing. |
| 02 | Assemble application evidence | 30 days | Degree records, grading scale, identity documents and every programme-specific form, reference or experience document belong in one checked pack. |
| 03 | Resolve the eligible route | 14 days | Map the degree, subjects, marks and any required experience or registration evidence to the eligibility table before selecting a duration. |
| 04 | Submit through UTS's international online application portal | 1 day | Pay AUD 100 and submit before 30 November 2026 for Autumn; 30 April 2027 for Spring. |
| 05 | Move from offer to visa file | 90 days | Acceptance, CoE, OSHC, financial evidence and the Genuine Student material form the visa-stage sequence. |
These allowances are preparation estimates, not university processing times.
Apply through UTS’s international portal. The current application fee is AUD 100. The outside-Australia closing dates are 30 November for Autumn and 30 April for Spring; the course page controls any exception.
The allowances are Nbyula planning estimates, not processing times published by University of Technology Sydney.
Begin by matching the application file to the evidence table above. Certified transcripts and the grading scale should be joined by English results, plus work, portfolio or discipline documents only when this Master of Data Science and Innovation route calls for them. An incomplete file can delay the normal one-to-two-week processing estimate.
What careers can follow UTS Master of Data Science and Innovation?
The 2027 Master of Data Science and Innovation structure connects Innovation Lab: Research Project with data science and Business Analytics with machine learning. UTS currently doesn’t publish an audited exact-course employment outcome percentage, median salary or time-to-job distribution, so those two directions aren’t promises.
| Measure | Figure | Basis |
|---|---|---|
| Documentation from Data Visualisation and Narratives | Data science | Opening Master of Data Science and Innovation subject or stream |
| Documentation from Research Paper 1 | Machine learning | Middle 2027 Handbook choice for Master of Data Science and Innovation |
| Visa reading after Applied Data Science | Up to 3 years for an eligible Indian master's graduate | Home Affairs Australian-study and visa conditions |
| Documented result for Master of Data Science and Innovation | No exact-course rate | UTS provides no audited denominator for data science |
Possible roles, professional accreditation and immigration permission are different facts. None guarantees registration, a job, salary, sponsorship or permanent residence.
Possible roles, professional accreditation and immigration permission are different facts. None guarantees registration, a job, salary, sponsorship or permanent residence.
Data Visualisation and Narratives can documentation data science, while Innovation Lab: Research Project can support analytics. The student should retain the brief, method, individual contribution, result and limitation from each assessed output; a subject name without inspectable work is a weak employment signal.
The official Master of Data Science and Innovation programme page and the university career material linked in Sources were checked on 2 November 2026. No programme-level intake size, acceptance rate, audited placement rate, named recruiter list or salary table was published there. No salary is quoted on this page without a source.
The separate official context comes from Department of Home Affairs, Student visa work conditions. Those rules don’t guarantee admission, immigration status or employment for this programme.
Who is UTS Master of Data Science and Innovation for, and who should avoid it?
The strongest Master of Data Science and Innovation match is ready for Applied Data Science, can finance AUD 167,500 before uncertain scholarship relief, and has a realistic use for statistical thinking. The decision weakens when the academic file, the budget or the planned direction in data science doesn’t support that combination.
| Verdict | Your background | Why |
|---|---|---|
| Strong fit | Ready for Data Visualisation and Narratives | Prior documentation already supports statistical thinking and the stated entry route |
| Strong fit | Portfolio plan for Applied Data Science | The intended output can support data science without claiming a guaranteed job |
| Needs evidence | Unclear preparation for Research Paper 1 | The academic record still has to clear: GPA 4/7 in any recognised bachelor's degree, or the documented relevant-study or work pathway |
| Needs evidence | Budget depends on an award | AUD 167,500 has to work before a competitive UTS scholarship |
| Do not shortlist | Mismatch at Business Analytics | The applicant cannot connect Business Analytics to the intended direction in innovation consulting |
| Do not shortlist | Work-funded Master of Data Science and Innovation | Restricted student hours can't safely underwrite tuition for Applied Data Science |
A convincing Master of Data Science and Innovation candidate wants to develop statistical thinking, then apply data storytelling and finally produce documentation of transdisciplinary projects. That progression is a poor reason to enrol when only the award title, Sydney location or university brand is attractive.
The academic stress test is whether prior coursework, employment or a portfolio can support the central choices without stretching the documentation. UTS uses the documented course threshold above and makes the final Indian equivalence assessment; an invented universal percentage cannot do that job.
What does the 2027 UTS Master of Data Science and Innovation curriculum contain?
The 2027 UTS Handbook exposes 22 named subjects, streams or option containers for this course. The table preserves every entry found in that course record, including alternatives a single student will not take. The award requires 96 credit points, and the Handbook controls the permitted combination.
| Code | Component | UTS credit points | Where it sits |
|---|---|---|---|
| 36104 | Data Visualisation and Narratives | 8 | |
| 36100 | Data Science for Innovation | 8 | |
| 36106 | Machine Learning Algorithms and Applications | 8 | |
| 36103 | Statistical Thinking for Data Science | 8 | |
| 94699 | Innovation Lab: Internship Project | 8 | |
| 36126 | Innovation Lab: Research Project | 8 | |
| 36127 | Innovation Lab: Capstone Project | 8 | |
| 36118 | Applied Natural Language Processing | 8 | |
| 36120 | Advanced Machine Learning Application | 8 | |
| 36121 | Artificial Intelligence Principles and Applications | 8 | |
| 36122 | Python Programming | 8 | |
| 36123 | Research Paper 1 | 8 | |
| 36101 | Leading Data Science Initiatives | 8 | |
| 94691 | Deep Learning | 8 | |
| 94693 | Big Data Engineering | 8 | |
| 94692 | Data Science Practice | 8 | |
| STM92124 | Business Analytics | 24 | |
| STM92125 | Financial Technology | 24 | |
| STM92122 | Project Management | 24 | |
| STM92096 | Computational Data Science | 24 | |
| STM92123 | Statistical Data Science | 24 | |
| STM90332 | Applied Data Science | 24 | |
| Total | 96 |
- The award total is 96 UTS credit points
- Core, option and stream entries are not all taken together
- The 2027 Handbook decides the valid combination
- Availability and prerequisites can change before enrolment
The note “Published in the 2027 UTS Handbook; course rules decide whether it is core, optional or a stream” applies to 22 components in this table.
The first published entries include Data Visualisation and Narratives, Data Science for Innovation, Machine Learning Algorithms and Applications, Statistical Thinking for Data Science. The 2027 UTS Handbook structure, not the size of the displayed pool, decides what must be completed and what is chosen.
The published curriculum for Master of Data Science and Innovation lists Data Visualisation and Narratives, Data Science for Innovation, Machine Learning Algorithms and Applications, Statistical Thinking for Data Science, and Innovation Lab: Internship Project. These are programme facts, not a claim about admission, module availability, salary or employment.
The published curriculum for Master of Data Science and Innovation lists Innovation Lab: Research Project, Innovation Lab: Capstone Project, Applied Natural Language Processing, Advanced Machine Learning Application, and Artificial Intelligence Principles and Applications. These are programme facts, not a claim about admission, module availability, salary or employment.
The published curriculum for Master of Data Science and Innovation lists Python Programming, Research Paper 1, Leading Data Science Initiatives, Deep Learning, and Big Data Engineering. These are programme facts, not a claim about admission, module availability, salary or employment.
The published curriculum for Master of Data Science and Innovation lists Data Science Practice, Business Analytics, Financial Technology, Project Management, and Computational Data Science. These are programme facts, not a claim about admission, module availability, salary or employment.
The published curriculum for Master of Data Science and Innovation lists Statistical Data Science, Applied Data Science, and Total. These are programme facts, not a claim about admission, module availability, salary or employment.
Should an Indian student shortlist UTS Master of Data Science and Innovation?
Shortlist UTS Master of Data Science and Innovation only when the documented admission route is proven, the complete gross budget is affordable and the course’s real assessed work serves a defined next move in data science. A university name, an uncertain scholarship or a hoped-for visa outcome isn’t enough.
The first distinguishing feature is the 96-credit-point plan combines 40 compulsory points with 56 elective points. The second is that its Innovation Lab requirement makes collaborative problem framing part of the data-science degree. Together they describe this award more accurately than a generic claim about rankings, employability or life in Sydney.
The hard constraint is specific to this award. Only 40 of 96 credit points are compulsory and Python Programming is elective. A non-coder can therefore build a weak discipline-specific sequence unless the options deliberately include programming, computational or statistical depth. A candidate who cannot reconcile that fact with the intended career direction should remove this course from the shortlist before relying on scholarships, part-time earnings or a hoped-for visa outcome.
Decision checks complete cost · entry fit · application timing · outcome evidence
- UTS Master of Data Science and Innovation runs full time for 2 years at City campus.
- The 2027 international fee is AUD 26,370 per session, or AUD 105,480 at the same rate across the course.
- The broader planning baseline is AUD 167,500, approximately INR 114.10 lakh, before OSHC and flights.
- The central entry condition is A recognised bachelor's degree in any discipline with GPA 4/7, or a bachelor's plus two years in a relevant occupation, or a recognised qualification in a relevant discipline.
- The ordinary English rule is IELTS Academic 6.5 overall with 6.0 in writing.
- The outside-Australia Autumn closing date is 30 November 2026.
Frequently asked questions
What is the 2027 fee for UTS Master of Data Science and Innovation?
UTS lists AUD 26,370 per 24-credit-point session for international students in 2027. Across 4 sessions, the same-rate tuition baseline is AUD 105,480. Fees can rise annually and actual subject choices can change the invoice.
How long is UTS Master of Data Science and Innovation full time?
The published international duration is 2 years, or 4 sessions, at City campus. Recognition of prior learning is assessed where the course allows it, so an applicant should budget the stated route until UTS confirms otherwise.
What is the India entry rule for UTS Master of Data Science and Innovation?
The course requires A recognised bachelor's degree in any discipline with GPA 4/7, or a bachelor's plus two years in a relevant occupation, or a recognised qualification in a relevant discipline. UTS makes the final equivalence decision from the complete Indian qualification, transcript and grading evidence; the page does not invent a universal Indian percentage.
What IELTS score does UTS Master of Data Science and Innovation require?
The current ordinary requirement is IELTS Academic 6.5 overall with 6.0 in writing, or an accepted equivalent. Applicants relying on prior English-medium study should check the exact UTS exemption rule rather than assume an automatic waiver.
What is the UTS Master of Data Science and Innovation deadline for 2027?
For an applicant outside Australia, UTS lists 30 November 2026 for Autumn and 30 April 2027 for Spring. The course page controls availability and any exception, while a complete earlier file leaves more time for the offer, CoE and visa.
Can an Indian graduate work after UTS Master of Data Science and Innovation?
An eligible Indian master's graduate may receive three years on the Post-Higher Education Work stream under current AI-ECTA settings. The two-year registered course length can contribute to the Australian-study test, but the graduate must still meet the age, English, visa and timing rules. It is not a job, sponsorship, registration or permanent-residence guarantee.
Sources
These sources support the programme, admission, cost and immigration information used on this page.
Sources checked on November 2, 2026. The next intake covered here is Next published intake.
