St Andrews MSc Data-Intensive Analysis

What is the St Andrews MSc Data-Intensive Analysis?

The St Andrews MSc Data-Intensive Analysis is a one-year, full-time on-campus master’s defined by a statistics-led data programme covering generalised linear models, advanced analysis, machine learning and reproducible software. Its published structure carries 180 UK credits. This Data-Intensive Analysis page covers September 2027 and does not mix in part-time, online or exit-award routes.

The latest 180-credit rule allocates 60 credits to statistical analysis and machine learning, 15 to computing for statistics, up to 15 to programming foundations, 30 to 45 to advanced computing, and 60 to the dissertation. For financial planning, 2027 tuition not yet published. Where September 2027 tuition is unset, GBP 31,450, approximately INR 40.20 lakh, is labelled as the approved 2026/27 overseas reference rather than a future quote. For Data-Intensive Analysis, that reference isn’t a September 2027 tuition promise.

How much does St Andrews MSc Data-Intensive Analysis cost for an Indian student?

The full-year planning total is GBP 47,294, approximately INR 60.46 lakh. It combines a GBP 31,450 tuition reference, twelve months at the official outside-London maintenance rate, the application and document charges, the Student visa fee and an 18-month health-surcharge allowance.

The GBP 4,000 overseas offer prepayment is credited against tuition and is not added again. Visa maintenance evidence covers only nine months, while this budget keeps twelve months of living costs. Converted at GBP 1 = INR 127.84, derived from ECB reference rates published on 4 September 2026. Card, bank and remittance rates differ.

2027 tuition not yet published. The approved overseas Band B amount for 2026/27 is GBP 31,450. Applicants for September 2027 should replace the reference when St Andrews publishes that intake’s fee.

The living row uses the September 2026 outside-London Student route rate of GBP 1,171 a month for a complete twelve-month budget. Visa evidence currently covers nine months, but that lower proof amount would not fund the whole course.

The current Student visa fee is GBP 558. The student IHS rate is GBP 776 for each charged year, so GBP 1,164 models an 18-month visa period and remains an estimate until the CAS dates determine the invoice.

For Data-Intensive Analysis, the GBP 4,000 prepayment isn’t an extra charge because it reduces the later tuition balance. The planning total doesn’t include flights, a housing deposit or an exchange-rate buffer. The provider identity is checked through the Research Organization Registry.

Can an Indian applicant meet St Andrews MSc Data-Intensive Analysis entry rules?

The academic requirement is a good uk 2.1 equivalent in a stem subject or suitable professional experience, with statistical analysis and object-oriented programming experience. The English minimum is IELTS 7.0 overall with 6.0 in every component. Indian equivalence varies by awarding institution, and course-specific preparation still controls selection.

A Data-Intensive Analysis eligibility audit should name the relevant papers, their grades and the assessed work completed in each. Published Data-Intensive Analysis academic condition is a good uk 2.1 equivalent in a stem subject or suitable professional experience, with statistical analysis and object-oriented programming experience, so a generic degree label is not enough.

“Data-Intensive Analysis candidates should have a good UK 2.1 equivalent in a STEM subject or suitable professional experience, with statistical analysis and object-oriented programming experience.”University of St Andrews Data-Intensive Analysis entry requirements

The India table adds institutional grading context after that course test has been applied.

For Data-Intensive Analysis, the accepted language level is IELTS 7.0 overall with 6.0 in every component. The result is currently valid for two years and needs to remain current when this particular programme begins.

A closer Data-Intensive Analysis reading separates three decisions before submission. First establish whether the Data-Intensive Analysis award background is accepted. Next prove the requested technical or quantitative preparation through graded work. Finally verify that every language component remains valid at enrolment. This sequence shows whether Data-Intensive Analysis begins at the right level for a particular applicant and stops a long option list from obscuring the admission condition.

Preparation for Data-Intensive Analysis should be evidenced against its own teaching sequence. Work related to Generalised linear and advanced data analysis can demonstrate readiness for the first 45 credits, while experience connected to Machine Learning for Data Analysis helps explain the next 15 credits. If Statistical software and advanced computing is unfamiliar, the Data-Intensive Analysis statement should not pretend otherwise. It should identify an adjacent course, project or professional task and explain the connection. This evidence-based approach is especially important because St Andrews assesses the institution, subject and overall file together rather than converting every Indian award through one universal percentage.

Three checks that decide a MSc Data-Intensive Analysis file

1. The Data-Intensive Analysis subject condition comes first

   For Data-Intensive Analysis, the institutional percentage band is only equivalence context. The Data-Intensive Analysis route still evaluates the named subject, technical or quantitative preparation.

2. English-medium evidence for Data-Intensive Analysis needs verification

   An Indian English-medium degree does not automatically waive the Data-Intensive Analysis language rule. The alternative currently uses verified teaching-medium evidence and ECCTIS QLS at CEFR C1.

3. The academic reference completes the Data-Intensive Analysis file

   The Data-Intensive Analysis application should include the CV, academic record, degree certificate and one original signed academic reference, with certified translations where needed.

How should an Indian student apply for St Andrews MSc Data-Intensive Analysis?

Apply through the St Andrews taught-postgraduate portal after checking course fit, English evidence and the GBP 47,294 planning case. The published last date is 5 August 2027, but the University recommends Indian applicants target 30 November for the following year and can close a full course earlier.

Course fit, academic evidence, St Andrews application, offer conditions, CAS and Student visa

The allowances are Nbyula planning estimates, not processing times published by University of St Andrews.

A complete application currently includes the online form, CV, transcript, degree certificate and one original signed academic reference. The personal statement is optional on several computing pages but required on Health Data Science, so the official form controls the exact file.

The GBP 50 application fee is separate from the tuition reference. A successful overseas offer can require a GBP 4,000 prepayment, which reduces later tuition rather than increasing the programme total.

For the Student visa, eligible money currently needs to be held for 28 consecutive days, with the evidence period ending within 31 days of the application. Use the CAS fee and current government maintenance rule at that stage.

What jobs can follow St Andrews MSc Data-Intensive Analysis?

Data-Intensive Analysis roles include data science, statistical modelling, quantitative analysis and machine learning. For Data-Intensive Analysis, examples include ASOS, the Civil Service. St Andrews has no audited Data-Intensive Analysis placement rate or salary. A Data-Intensive Analysis portfolio must use work. The 18-month Graduate visa after Data-Intensive Analysis permits job search but doesn’t guarantee a role.

The Data-Intensive Analysis role list and employer examples show plausible directions. It doesn't promise a job, salary, sponsorship outcome or internship.

Recruiters evaluating a Data-Intensive Analysis graduate can inspect projects emerging from Statistical software and advanced computing. Each portfolio item should identify the question, method, individual contribution and result without exposing confidential material.

The University associates ASOS, the Civil Service, Google and Lloyds with relevant graduate outcomes. It does not publish a denominator, salary band or exact Data-Intensive Analysis placement rate, so those names cannot be converted into a probability.

A successful Data-Intensive Analysis graduate may use the UK Graduate route for job search. Applications made from 1 January 2027 receive 18 months, after which a longer stay needs a different qualifying immigration route.

The clearest Data-Intensive Analysis career story links assessed work to data science, statistical modelling, quantitative analysis and machine learning. A project emerging from Generalised linear and advanced data analysis can show one capability, while output from Machine Learning for Data Analysis can show another. The named organisations, ASOS, the Civil Service, Google and Lloyds, help indicate the breadth of contexts in which related graduates have worked. They do not reveal how many Data-Intensive Analysis students reached each organisation, how long recruitment took or whether visa sponsorship followed. Those missing measurements are why this page reports direction and portfolio evidence instead of predicting a salary.

Roles published for this exact course, data scientist, machine-learning engineer, quantitative analyst, statistical modeller, data engineer, research scientist, bioinformatics/health-data analyst, risk/forecasting specialist and AI/automation consultant.

Sectors, finance/fintech, healthcare/pharma, environmental science, technology/software, government/public policy, energy/engineering and research.

Named organisations on the programme page, ASOS, Civil Service, Google, Lloyds Banking Group. The wording is for graduates of Computer Science MSc programmes, not a placement table for this exact course.

Programme-specific advantage, MSc graduates can apply for Royal Statistical Society Graduate Statistician (GradStat) status without further examination.

No programme-specific placement rate, graduate salary or guaranteed internship is published.

Who is St Andrews MSc Data-Intensive Analysis for, and who should avoid it?

A well-matched Data-Intensive Analysis Data-Intensive Analysis candidate can point to preparation for the Machine Learning for Data Analysis block, understands how all 180 credits are distributed, and can finance the year. A poorly matched Data-Intensive Analysis candidate expects the Data-Intensive Analysis award title alone to supply a specialist module or job guarantee.

The positive Data-Intensive Analysis case begins with the curriculum rather than the award label. A student who actively wants Generalised linear and advanced data analysis can explain how that block leads to a credible dissertation and next-step role.

The caution for Data-Intensive Analysis sits in the balance between Machine Learning for Data Analysis and Statistical software and advanced computing. That balance should be checked against the detailed rule before paying the GBP 50 application charge.

A financially workable Data-Intensive Analysis plan covers GBP 47,294 plus flights, accommodation deposits and currency movement. Part-time income can’t be the amount that makes the original plan balance.

A final Data-Intensive Analysis comparison should use three columns. Put the first 45 credits under guaranteed study, place the next 15 credits under the published rule, and mark the later 60 credits with their availability condition. Then place the intended occupation beside those columns. If the connection is clear, the curriculum supports the plan. If it depends on an unavailable option, a promised internship or a future employer such as ASOS, the shortlist needs a safer alternative.

What does the St Andrews MSc Data-Intensive Analysis curriculum contain?

The current Data-Intensive Analysis structure totals 180 UK credits. It gives 45 credits to Generalised linear and advanced data analysis and separates compulsory study, approved choices and the final project. Options and the 60-credit capstone must still follow the approved 2027/28 requirement for the selected full-time route.

• Complete 180 UK credits on the full-time route
• Meet every compulsory and constrained-choice rule
• Confirm the approved 2027/28 module list before enrolment

For Data-Intensive Analysis, the latest credit map puts Generalised linear and advanced data analysis, Machine Learning for Data Analysis, Statistical software and advanced computing at the centre of the taught year. The rows distinguish fixed study from option groups and preserve the separate 60-credit capstone.

The Data-Intensive Analysis enrolment plan remains subject to the approved 2027/28 requirement, prerequisites, capacity and timetable compatibility. A long option list should not be read as a promise that every combination will run.

Should an Indian student shortlist St Andrews MSc Data-Intensive Analysis?

Shortlist Data-Intensive Analysis when the admission evidence is already visible in your transcript and you want assessed work in Generalised linear and advanced data analysis. The INR 60.46 lakh model must also work without uncertain part-time income. The documented limitation should be acceptable before the application fee is paid.

For Data-Intensive Analysis, compare the compulsory credit blocks with the intended role after graduation. The latest rule assigns 15 credits to Machine Learning for Data Analysis, so an application should connect earlier work to that assessed component rather than relying on the St Andrews name. The latest exact programme requirement opened is 2026/27, which publishes 180 credits. A 2027/28 requirement was not found and must be rechecked before publication. The 2027 course page presents Advanced Data Analysis as compulsory and says students choose four optional modules. Its advertised option list is Applied Statistical Modelling using GLMs, Computing in Statistics, Data-Intensive Systems, Information Visualisation, Introductory Data Analysis, Knowledge Discovery and Datamining, Object-Oriented Modelling, Design and Programming, Programming Principles and Practice, and Software for Data Analysis. Because the credit rule is from 2026/27 and names Machine Learning for Data Analysis where the 2027 page says Knowledge Discovery and Datamining, do not claim a binding 2027 combination until the 2027/28 requirement appears. Project, three months and a 15,000-word dissertation, potentially individual or group-based with individual marking. Supervisors/topics may come from either School and many projects are in collaboration with a company or other external body. “Many” is not a placement guarantee. Suitable students can exit with a PGDip after taught semesters rather than complete the MSc dissertation. For Data-Intensive Analysis, curriculum row 1 needs separate review. The Data-Intensive Analysis row assigns 45 credits and is marked compulsory statistical study. In a Data-Intensive Analysis comparison, those 45 credits should match earlier study and the intended dissertation direction. The Statistics core label makes Data-Intensive Analysis scheduling concrete because taught assessment, recruitment and relocation share one academic year. In the Data-Intensive Analysis dossier, row 1 carries the working title Generalised linear and advanced data analysis; confirm that title against the 2027/28 regulation before registration. For Data-Intensive Analysis, curriculum row 2 needs separate review. The Data-Intensive Analysis row assigns 15 credits and is marked compulsory pathway element. In a Data-Intensive Analysis comparison, those 15 credits should match earlier study and the intended dissertation direction. The Machine learning label makes Data-Intensive Analysis scheduling concrete because taught assessment, recruitment and relocation share one academic year. In the Data-Intensive Analysis dossier, row 2 carries the working title Machine Learning for Data Analysis; confirm that title against the 2027/28 regulation before registration. For Data-Intensive Analysis, curriculum row 3 needs separate review. The Data-Intensive Analysis row assigns 60 credits and is marked choice depends on programming preparation. In a Data-Intensive Analysis comparison, those 60 credits should match earlier study and the intended dissertation direction. The Computing label makes Data-Intensive Analysis scheduling concrete because taught assessment, recruitment and relocation share one academic year. In the Data-Intensive Analysis dossier, row 3 carries the working title Statistical software and advanced computing; confirm that title against the 2027/28 regulation before registration. For Data-Intensive Analysis, curriculum row 4 needs separate review. The Data-Intensive Analysis row assigns 60 credits and is marked independent research. In a Data-Intensive Analysis comparison, those 60 credits should match earlier study and the intended dissertation direction. The Project label makes Data-Intensive Analysis scheduling concrete because taught assessment, recruitment and relocation share one academic year. In the Data-Intensive Analysis dossier, row 4 carries the working title Data-Intensive Analysis dissertation; confirm that title against the 2027/28 regulation before registration. The Data-Intensive Analysis audit therefore tracks 4 curriculum rows, beginning with 45 credits and ending with the final 60-credit commitment. The Data-Intensive Analysis dossier connects Statistics core, the 15-credit second block and the named ASOS outcome example. A shortlist card for Data-Intensive Analysis should record Statistics core, 4 mapped blocks and the 5 Aug 2027 submission date. That comparison separates Generalised linear and advanced data analysis from Machine Learning for Data Analysis before testing the role of Statistical software and advanced computing.

This is a statistics-heavy programme rather than a general data conversion degree. Data-Intensive Analysis candidates lacking statistical analysis or object-oriented programming preparation may not meet the entry test. This is not a generic “data science” conversion course. Statistical-analysis evidence and programming experience are both expected before entry. The curriculum’s core is statistical modelling and analysis, with computing layered onto it. Someone seeking a primarily data-engineering/software programme may find the mandatory statistical component too heavy. The 2027 fee is still unset, and the exact 2027/28 credit requirement was not published at the check date. Those uncertainties materially limit an early total-cost and module-by-module comparison.

Decision checkscomplete cost · entry evidence · application timing · career evidence

Sources

These sources support the programme, admission, cost, experience and immigration information used on this page.

Sources checked on September 8, 2026. The next intake covered here is September 2027.