ANU Master of Statistical Data Analysis
Australian National University · ANU College of Business and Economics · Canberra, Australia- In person
- Full time
- 48 ANU units
Tuition, living, cover, fees, visa and travel.
annual indicative fee
48 units full-time
closes 15 Dec
standard 7-point route
no band below 6.0
no GRE or GMAT
What is ANU Master of Statistical Data Analysis, and what should an Indian applicant know first?
Across 1 year and 48 units, ANU Master of Statistical Data Analysis develops regression, mathematical statistics, stochastic methods, statistical learning and computational data analysis for applicants who already meet its published entry route. The 2027 annual tuition is AUD 57,640, and the complete planning case used here is INR 66.24 lakh.
Regression Modelling and Principles of Mathematical Statistics anchor the 48-unit course, while the remaining choices can emphasise advanced statistics or computing. This page is checked for Semester 1 2027. It uses the published annual tuition, holds that rate constant only for planning, and separates the university’s AUD figures from the INR conversion dated 10 September 2026.
How much does ANU Master of Statistical Data Analysis cost for an Indian student?
The planning total is INR 66.24 lakh for the whole 1 year course. It combines AUD 57,640 of tuition at the 2027 annual rate with ANU’s lower Canberra living estimate, OSHC, the 2027 student-services fee, the current student-visa charge and one travel allowance.
| Item | INR | Local currency | When it is due |
|---|---|---|---|
| Programme tuition | INR 39.62 lakh | AUD 57,640 | Across the standard course duration |
| Canberra living budget | INR 22.68 lakh | AUD 33,000 | AUD 33,000 for each study year |
| Single OSHC | INR 57,604 | AUD 838 | Cover for 12 months |
| Student services fee | INR 26,534 | AUD 386 | At the 2027 full-time annual rate |
| Student visa charge | INR 1.72 lakh | AUD 2,500 | At visa application |
| Travel allowance | INR 1.37 lakh | AUD 2,000 | One India to Australia journey |
| Full programme planning total | INR 66.24 lakh | AUD 96,364 | Before deposits and personal extras |
The visa charge is a government application fee. Health checks, biometrics, police certificates and payment-provider charges can add further costs. AUD values use AUD 1 = INR 68.74, the Reserve Bank of Australia reference rate for 10 September 2026. Banks use their own rate, and housing deposits, books, equipment and later fee increases remain outside the total.
ANU labels AUD 57,640 as the 2027 annual indicative international fee for a standard 48-unit load. The multi-year tuition line keeps that annual amount flat to make the arithmetic visible, while ANU warns that fees are reviewed annually and can rise after commencement. That doesn’t turn the planning assumption into a quote for later years.
The living row uses ANU’s lower estimate of AUD 33,000 a year for a person living alone in Canberra. The university publishes a higher AUD 39,000 upper estimate, so rent choice and lifestyle can move the real total materially above this baseline.
The Chancellor’s International Scholarship page lists India within a 25 per cent category but currently says the scholarship is unavailable. This page doesn’t deduct an award from the headline. Recheck live scholarship status with the offer rather than budgeting for an automatic reduction.
Can an Indian applicant meet ANU Master of Statistical Data Analysis entry requirements?
The table below carries the exact course-level route for Master of Statistical Data Analysis. ANU assesses equivalence, competitively ranks eligible applicants and separately applies English rules. Meeting the minimum doesn’t guarantee an offer. An Indian file therefore needs original degree, grade and programme-specific evidence rather than a self-converted GPA.
| Requirement | Published rule | What you do |
|---|---|---|
| Entry route for Master of Statistical Data Analysis (India) | a cognate bachelor's degree at GPA 5.0 out of 7 with university calculus and linear algebra | Match the degree, GPA and experience evidence to the published route |
| Mathematics prerequisite (India) | At least one university course covering calculus and linear algebra | Document the mathematics prerequisite before submission |
| Cognate degree (India) | Accounting, actuarial studies, business, data science, economics, finance, health, IT, mathematics, medicine, science, statistics or another listed field | Document the cognate degree before submission |
| English evidence (India) | ANU's standard postgraduate route includes IELTS Academic 6.5 overall with no band below 6.0 or an accepted equivalent | Use the live ANU policy to confirm the accepted test or prior-study route |
| Indian degree equivalence (India) | ANU assesses whether the Indian award is equivalent to the bachelor level named by the programme | Upload the award, full transcripts and official grading information |
| GRE or GMAT (India) | Neither test is listed as a programme admission requirement | Do not use an optional score to replace missing academic evidence |
For this course, the transcript should make statistical learning legible through original course names, results and official descriptions. A tidy upload can’t compensate for academic content the applicant has not studied.
The most important programme-specific warning concerns mathematics prerequisite. Resolve it before paying for tests, certified copies or visa-stage services.
ANU calculates admission GPA under its own method and may use competitive ranking after the minimum is met. Treat 5.0 out of 7 as a published threshold, not as a guaranteed Indian percentage conversion or an offer prediction.
Eligibility is best handled as an evidence map. Put the words a cognate bachelor’s degree at GPA 5.0 out of 7 with university calculus and linear algebra at the top, then link each element to a transcript line, grading document or verifiable period of relevant work. Use official course descriptions where Indian subject titles do not reveal content. Keep English evidence as a separate live-policy check rather than mixing it with academic equivalence. The file is strong when the mapping can survive scrutiny without invented conversions or vague claims of relevance. It is weak when the degree title is doing all the explanatory work. The mathematics prerequisite complication deserves resolution before the deadline calendar begins.
Three checks that decide a Master of Statistical Data Analysis file
Prove the academic substance for Master of Statistical Data Analysis
Map original transcript subjects, marks and syllabus evidence to stochastic methods. ANU decides equivalence, so an Indian award title or self-converted GPA can’t settle the test.
Use the programme rule above the university minimum
ANU states the competitive rule directly:“Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry.”Australian National University, 2027 programme admission rules
This one-year degree has no thesis and ANU says it is not intended as a PhD pathway. Its standard length also does not by itself meet the two-academic-year Australian study requirement for a graduate visa.Treat English evidence as a live policy check
ANU lists several test and prior-study routes. The standard IELTS comparison is 6.5 overall with no band below 6.0, but the live policy and any higher programme condition control the application.
How should an Indian applicant apply for ANU Master of Statistical Data Analysis?
Apply through ANU’s international application route for Semester 1 2027 by 15 December 2026. The process moves from programme fit and documents to offer acceptance, payment, Confirmation of Enrolment and the Student visa. Work backwards because the closing date is not a safe day to begin translations or English testing.
ANU accepts the international coursework application online. After an offer, the applicant follows the stated acceptance and payment steps, obtains the Confirmation of Enrolment and then makes a separate Student visa application.
| Start by | Task | Takes | Why this date |
|---|---|---|---|
| 31 Aug 2026 | Collect academic and English evidence | 45 days | Obtain full transcripts, award evidence, grading information, passport and accepted English proof. |
| 05 Oct 2026 | Verify the exact programme route | 10 days | Map the file to a cognate bachelor's degree at GPA 5.0 out of 7 with university calculus and linear algebra. |
| 15 Oct 2026 | Submit the ANU application | 1 day | Complete the online file before 15 December 2026. |
| 16 Oct 2026 | Accept, obtain CoE and lodge the visa | 60 days | Use the offer's payment instructions, arrange OSHC and follow the live Home Affairs checklist. |
The allowances are Nbyula planning estimates, not processing times published by Australian National University.
The first working document should be a course-specific eligibility sheet for Master of Statistical Data Analysis, not a generic ANU checklist. It should link each published condition to the exact transcript, experience record or test evidence that proves it.
Documents not in English need an accepted translation, and names and dates should remain consistent across the passport, degree records and application. ANU can ask for originals or verification even when scans were enough to submit.
The published international deadline is 15 December 2026. Offer assessment, payment, OSHC, CoE issuance, visa processing and Canberra housing still follow it, so a last-day application transfers every delay into the visa and arrival calendar.
What jobs and post-study options follow ANU Master of Statistical Data Analysis?
The most defensible directions after Master of Statistical Data Analysis are statistical analysis, quantitative research, biostatistics support, forecasting, risk analysis and data-methods roles. Evidence comes from statistical models, reproducible analysis code and a clearly communicated applied data investigation, not from a promised placement. Australian graduate-work rules provide a conditional visa route, not employment.
| Measure | Figure | Basis |
|---|---|---|
| Master of Statistical Data Analysis role direction | Statistical analysis, quantitative research, biostatistics support, forecasting, risk analysis and data-methods roles | ANU programme learning and employment description |
| Inspectable graduate evidence | Statistical models, reproducible analysis code and a clearly communicated applied data investigation | Assessed work within the published course |
| Indian master's graduate visa | Up to 3 years if eligible | AI-ECTA duration under the current subclass 485 rules |
| Programme placement result | No audited rate published | Evidence limit for this exact programme |
At under two years, this programme alone is shorter than the Australian-study duration test used for graduate work permission. The applicant must also meet age, CRICOS, recency, English, health-insurance, police-check and Australian-study conditions.
A recruiter can inspect statistical models, reproducible analysis code and a clearly communicated applied data investigation. The strongest version states the problem, method, individual contribution and result, while protecting confidential material from a team, client or laboratory setting.
The curriculum points towards statistical analysis, quantitative research, biostatistics support, forecasting, risk analysis and data-methods roles. That is a direction rather than a vacancy list, and professional registration, security clearance, citizenship or employer sponsorship can separately restrict particular roles.
At under two years, this programme alone is shorter than the Australian-study duration test used for graduate work permission. The current Student visa limits a coursework master’s student to 48 work hours per fortnight while the course is in session, so paid work cannot safely be assigned a guaranteed income in the study budget.
Graduate value here can be made visible through a deliberate evidence trail. Work from STAT7038 Regression Modelling may establish a baseline, material from STAT7004 Introduction to Stochastic Processes can show increased difficulty, and a clearly communicated applied data can demonstrate synthesis. Preserve enough context for another person to understand the problem and enough detail to identify the student’s own decisions. The likely conversations sit around biostatistics support, yet those are directions rather than guaranteed destinations. An employer may also apply occupation-specific rules, local-experience preferences or work-right filters. A strong portfolio helps explain capability; it does not erase those external selection conditions or create a course-level placement percentage.
Who is ANU Master of Statistical Data Analysis for, and who should avoid it?
The best fit enters with the published academic foundation, wants concrete assessed evidence for a defined career direction, and can fund INR 66.24 lakh without assumed earnings. It is willing to work through this course’s particular mix rather than chase a title alone. The wrong fit expects ANU’s name to replace preparation or guarantee an outcome.
| Verdict | Your background | Why |
|---|---|---|
| Strong fit | Applicant with mapped academic foundations | Prior study visibly supports computational data analysis. |
| Strong fit | Evidence-focused postgraduate | The desired output is investigation. |
| Needs evidence | Applicant using an experience route | ANU still verifies the level, relevance and documentation of the professional work. |
| Needs evidence | Family using the minimum budget | Canberra rent and later tuition changes can exceed the baseline used here. |
| Do not shortlist | Applicant who fails the mathematics prerequisite test | The course-level condition conflicts with the applicant's evidence or non-negotiable goal. |
| Do not shortlist | Placement-dependent applicant | No guaranteed internship, job or programme placement percentage is published. |
Academic fit is visible in the relationship between the entry rule and regression. If that relationship needs the selector to infer missing subjects, the application is weaker than the degree title suggests.
Learning fit is different. The route from STAT7038 Regression Modelling through STAT8002 Applied Time Series Analysis indicates this course’s balance of theory, professional practice and research; a different desired balance points to another programme.
Financial fit means the INR 66.24 lakh planning case remains workable before part-time income. A scholarship may improve the arithmetic if a live award is offered, but an unavailable or competitive award cannot close the budget on application day.
Fit becomes clearer when the alternatives are named. A reader excited by STAT7039 Principles of Mathematical Statistics but indifferent to STAT8130 Generalised Linear Modelling should examine whether the compulsory balance is still worthwhile. Someone seeking investigation may accept that mix because the whole sequence serves a defined result. Someone seeking an automatic credential-to-job pipeline should step back at the mathematics prerequisite condition. The programme is most defensible for an applicant who can connect prior preparation, the actual assessments and a realistic next role. It is least defensible when ANU’s brand is expected to compensate for weak academic preparation or an unaffordable plan.
What does the 48-unit ANU Master of Statistical Data Analysis syllabus contain?
The official 2027 rules require 48 units and centre the course on computational data analysis. The table lists every coded course named on the programme page rather than replacing the catalogue with invented subject buckets. Options remain subject to prerequisites, approval, capacity and the 2027 rules.
| Code | Component | Units | Where it sits |
|---|---|---|---|
| STAT7038 | Regression Modelling | 6 | |
| STAT7039 | Principles of Mathematical Statistics | 6 | |
| STAT7004 | Introduction to Stochastic Processes | 6 | |
| STAT8002 | Applied Time Series Analysis | 6 | |
| STAT8130 | Generalised Linear Modelling | 6 | |
| STAT8140 | Statistical Learning | 6 | |
| STAT6016 | Introduction to Bayesian Data Analysis | 6 | |
| STAT6017 | Big Data Statistics | 6 | |
| STAT6018 | Stochastic Processes | 6 | |
| STAT6026 | Graphical Data Analysis | 6 | |
| STAT6027 | Statistical Inference | 6 | |
| STAT6029 | Design of Experiments and Surveys | 6 | |
| STAT6042 | Survival Models | 6 | |
| STAT6050 | Advanced Statistical Learning | 6 | |
| STAT6056 | Advanced Mathematical Statistics | 6 | |
| STAT6060 | Advanced Stochastic Processes | 6 | |
| COMP6240 | Relational Databases | 6 | |
| COMP6261 | Information Theory | 6 | |
| COMP6490 | Document Analysis | 6 | |
| COMP6670 | Introduction to Machine Learning | 6 | |
| COMP6710 | Structured Programming | 6 | |
| COMP6730 | Programming for Scientists | 6 | |
| COMP8410 | Data Mining | 6 | |
| COMP8430 | Data Wrangling | 6 | |
| COMP8600 | Statistical Machine Learning | 6 | |
| COMP8880 | Computational Methods for Network Science | 6 | |
| ECON6012 | Optimisation for Economics and Financial Economics | 6 | |
| EMET6001 | Applied micro-econometrics | 6 | |
| EMET8005 | Econometric Methods and Modelling | 6 | |
| EMET8008 | Advanced Econometrics II | 6 | |
| EMET6012 | Business and Economic Forecasting | 6 | |
| EMET8014 | Advanced Econometrics I | 6 | |
| MATH6005 | Discrete Mathematical Models | 6 | |
| MATH6102 | Environmental Modelling and Integrated Assessment | 6 | |
| MATH6109 | Probability Modelling with Applications | 6 | |
| MATH6110 | Analysis 1: Metric spaces and Applications | 6 | |
| MATH6111 | Scientific Computing | 6 | |
| MATH6112 | Matrix Computations | 6 | |
| MATH6115 | Stochastic Analysis with Financial Applications | 6 | |
| MATH6119 | Numerical Optimisation | 6 | |
| MATH6208 | Advanced Mathematical Bioinformatics | 6 | |
| MATH6212 | Analysis 2: Lebesgue Integration and Hilbert Spaces | 6 | |
| POPH8100 | Fundamentals of Epidemiology | 6 | |
| POPH8101 | Biostatistics in Public Health | 6 | |
| POPH8313 | Analysis of Public Health Data | 6 | |
| STAT6043 | Life Contingencies | 6 | |
| STAT6046 | Financial Mathematics | 6 | |
| STAT6057 | Risk Modelling 1 | 6 | |
| STAT6058 | Risk Modelling 2 | 6 | |
| Total | 48 |
The note “Named in the 2027 programme requirements” applies to 49 components in this table.
- The complete award requires 48 ANU units
- The standard full-time length is 1 year
- The 2027 programme rules control compulsory choices and prerequisites
The named modules show how statistical learning becomes assessed study. The combination of STAT7039 Principles of Mathematical Statistics, STAT8130 Generalised Linear Modelling and the remaining choices exposes the award’s actual shape. The programme page remains authoritative where an option list offers more courses than a student can take.
Course availability can change with semester scheduling, prerequisites, teaching capacity and approval. Use the current timetable only after an offer, and do not build the entire decision around one optional course that may not run in the intended term.
Should an Indian student shortlist ANU Master of Statistical Data Analysis for 2027?
Shortlist Master of Statistical Data Analysis only when prior study supports regression and the INR 66.24 lakh full-course budget works without expected wages. The official course structure gives the decision a concrete test through statistical models. That test keeps reputation separate from documented academic and financial fit.
The useful reason to choose this course is specific: STAT7038 Regression Modelling, STAT7004 Introduction to Stochastic Processes and STAT8130 Generalised Linear Modelling create a visible route towards reproducible analysis code. That assessed shape matters more than ANU's general reputation because it determines what the graduate can actually show an employer or later research selector.
Two things are genuinely hard here. The published mathematics prerequisite condition can remove an otherwise interested applicant. The second is cost: the planning total reaches INR 66.24 lakh before any scholarship, and ANU currently marks its broad Chancellor's International Scholarship as unavailable.
- ANU Master of Statistical Data Analysis is a 1 year, 48-unit full-time master's in Canberra.
- The 2027 annual indicative international tuition fee is AUD 57,640.
- The full-programme planning total is AUD 96,364, about INR 66.24 lakh, before housing deposits and personal extras.
- The Semester 1 2027 international application deadline used here is 15 December 2026.
- The standard English comparison is IELTS Academic 6.5 overall with no band below 6.0.
- ANU publishes no audited programme placement rate or starting-salary distribution for this course.
Frequently asked questions
What is the ANU Master of Statistical Data Analysis fee for Indian students?
ANU lists AUD 57,640 as the 2027 annual indicative international fee. Across the standard 1 year route, the tuition assumption is AUD 57,640. Tuition can rise in a later calendar year, so this page keeps the published annual rate flat only to provide transparent planning arithmetic.
What is the total cost of ANU Master of Statistical Data Analysis?
The planning total is AUD 96,364, about INR 66.24 lakh at AUD 1 equal to INR 68.74. It includes tuition, the lower ANU Canberra living estimate, single OSHC, student-services fees, the current visa charge and one travel allowance. Housing deposits, books, equipment and personal extras remain outside it.
What is the deadline for ANU Master of Statistical Data Analysis in 2027?
The international Semester 1 2027 deadline used for this programme is 15 December 2026. Submit earlier because ANU assessment, offer acceptance, payment, OSHC, Confirmation of Enrolment, the Student visa and Canberra housing all follow. A programme with extra selection requirements may impose an earlier or additional step on its official page.
Does ANU Master of Statistical Data Analysis require GRE or GMAT?
No GRE or GMAT is listed in the 2027 admission rules for this programme. Entry instead turns on a cognate bachelor's degree at GPA 5.0 out of 7 with university calculus and linear algebra, competitive ranking and accepted English evidence. An optional test score cannot replace a missing degree, GPA, prerequisite, experience record or programme-specific document.
Can an Indian student work after ANU Master of Statistical Data Analysis?
A qualifying Indian master's graduate can currently receive up to three years under the Post-Higher Education Work stream, but every visa condition still applies. At under two years, this programme alone is shorter than the Australian-study duration test used for graduate work permission. The visa does not guarantee employment, sponsorship, professional registration or permanent residence, and the rules can change before graduation.
Is ANU Master of Statistical Data Analysis full time and on campus?
Yes. This page covers the in-person, full-time Canberra route shown in the 2027 catalogue. It requires 48 ANU units across 1 year. Any online, part-time, shortened-credit or alternative intake arrangement has different scheduling, visa and cost consequences and is not merged into this page.
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 Semester 1 2027.
| No. | Source | Evidence role |
|---|---|---|
| 01 | ANU 2027 Master of Statistical Data Analysis programme and admission rules | Core programme evidence |
| 02 | ANU international applications and Semester 1 2027 deadlines | Supporting external evidence |
| 03 | ANU international application document requirements | Supporting external evidence |
| 04 | ANU English language admission requirements | Supporting external evidence |
| 05 | ANU 2026 estimated living costs in Canberra | Supporting external evidence |
| 06 | ANU OSHC single-cover rates from 1 July 2026 | Supporting external evidence |
| 07 | ANU 2027 Services and Amenities Fee | Supporting external evidence |
| 08 | Australian Home Affairs Student visa conditions and work limit | Supporting external evidence |
| 09 | Australian Home Affairs Post-Higher Education Work stream | Supporting external evidence |
| 10 | Reserve Bank of Australia AUD to INR reference rate for 10 September 2026 | Supporting external evidence |
| 11 | ANU Chancellor's International Scholarship availability and terms | Supporting external evidence |
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