University of Cambridge MPhil Data Intensive Science

What is University of Cambridge MPhil Data Intensive Science?

MPhil Data Intensive Science is a 10 months full-time programme built around scientific computing and statistics. Published tuition is GBP 43,530, about INR 55.59 lakh; the complete budget and workload still matter before scientific computing becomes a realistic direction. The official programme description defines that scope.

For an Indian applicant, the useful comparison is with nearby degrees at University of Cambridge: this programme specifically develops scientific computing, statistics and research with large scientific datasets, rather than offering a general route into every role in the field.

A useful academic test for MPhil Data Intensive Science is whether earlier work already covers scientific computing, while statistics remains a genuine gap. The second official programme reference helps separate published teaching from assumptions about scientific computing or research software.

How much does Cambridge MPhil Data Intensive Science cost for an Indian student?

The planning total is GBP 62,029 plus INR 74,857, approximately INR 79.96 lakh. It combines GBP 43,530 overseas tuition, GBP 17,250 maintenance for 10 months, an application allowance, the Student visa charge from India and a conservative immigration health surcharge allowance.

The IHS row is a conservative planning allowance. The amount charged follows the exact visa permission dates, so the application system can calculate a different billed period. GBP items use GBP 1 = INR 127.7043, the Bank of England daily spot rate published for 4 September 2026 .

The planning total is GBP 62,029 plus INR 74,857, approximately INR 79.96 lakh. It combines GBP 43,530 overseas tuition, GBP 17,250 maintenance for 10 months, an application allowance, the Student visa charge from India and a conservative immigration health surcharge allowance.

Tuition is the course-specific overseas University Composition Fee for 2027. The central data record gives GBP 43,530 for MPhil Data Intensive Science; a home fee displayed elsewhere doesn’t apply to the Indian applicant model.

Maintenance uses the University’s published GBP 17,250 estimate for 10 months. The UK visa evidence floor outside London is a separate legal minimum and isn’t added again because it represents the same living money.

Flights, a housing deposit, laptop replacement, optional travel and exchange-rate movement remain outside the total. Paid work can provide experience, but this budget doesn’t assign it a start date or dependable income.

What are the Cambridge MPhil Data Intensive Science entry requirements?

Indian applicants need the published degree standard, subject preparation and English evidence for MPhil Data Intensive Science. University of Cambridge decides how the exact award and marks map to that standard; the table below records the three-year degree, backlog and test position. The current admissions source remains controlling.

Cambridge doesn’t publish this course’s intake size, acceptance rate or typical admitted GPA on the official pages checked.

Academic fit is judged against scientific computing, statistics and research with large scientific datasets. Meeting a minimum makes an application eligible for review but doesn’t predict an offer.

English evidence, references and other documents follow the current programme page and applicant portal. The live offer conditions control if wording changes after submission.

“Academic achievement at least equivalent to a high UK 2:1 or a first-class honours degree is normally required.” Official admissions rule

For MPhil Data Intensive Science, the transcript is most informative when it shows where scientific computing was studied, how statistics was assessed and what remains new. That programme-level reading is different from treating a university minimum as an offer probability.

The page’s primary-source trail keeps four separate checks visible: University of Cambridge, MPhil Data Intensive Science course directory, University of Cambridge 2027 course record for MPhil Data Intensive Science, Department of Physics, programme information, UK Home Office, Student visa fee from India. Each link supports its own programme, admission, cost or immigration decision.

How should an Indian student apply for Cambridge MPhil Data Intensive Science?

Build the MPhil Data Intensive Science application backwards from 8 December 2026, the published Cambridge funding deadline for the 2027 cycle. A later course closing date may exist, but an applicant seeking central funding needs references, academic records, written answers and payment complete by the earlier date.

Build the MPhil Data Intensive Science application backwards from 8 December 2026, the published Cambridge funding deadline for the 2027 cycle. A later course closing date may exist, but an applicant seeking central funding needs references, academic records, written answers and payment complete by the earlier date.

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

The published application point is See the official programme page. Eligibility, transcripts, references and language evidence need to be complete before the portal submission is useful.

For an international applicant, offer conditions, funding documents and the immigration process follow the admission decision. These steps need calendar room even when the university accepts applications until the stated date.

What can follow Cambridge MPhil Data Intensive Science?

MPhil Data Intensive Science can support work in scientific computing and research software through assessed study in scientific computing; it doesn’t guarantee employment, pay or sponsorship. The official outcome or immigration source sets the published boundary, while the rows below distinguish reported facts from curriculum-linked directions.

A university name, immigration route or curriculum doesn't guarantee a job, salary, sponsorship decision or professional licence.

The most defensible targets are scientific computing, research software, quantitative research and doctoral study because they can be linked to assessed work in scientific computing, statistics and research with large scientific datasets.

No salary has been added unless the programme itself publishes a cohort figure. Employer names describe reported destinations or profiles, not guaranteed recruitment from this course.

The practical value of statistics depends on an inspectable result: a model, analysis, design, policy argument or research output suited to MPhil Data Intensive Science. That work can support a conversation about scientific computing, but it can’t turn the reported programme facts into an individual forecast.

Who is Cambridge MPhil Data Intensive Science for, and who should avoid it?

A strong fit for MPhil Data Intensive Science has prior grounding in scientific computing, a clear reason to deepen statistics, and funds for the full programme without uncertain earnings. A weaker fit wants scientific computing but can’t connect that aim to assessed work, the published entry rules or the complete cost.

A strong application can name which part of scientific computing, statistics and research with large scientific datasets is new and why it matters for the intended work.

A weak fit relies on the university brand while leaving the academic gap, funding plan or immigration risk unresolved.

The provider identity in the official supporting record doesn’t settle academic fit by itself. The sharper comparison is whether MPhil Data Intensive Science develops statistics in a way that another nearby degree, prior job or shorter course would not.

Should an Indian applicant shortlist Cambridge MPhil Data Intensive Science?

MPhil Data Intensive Science belongs on a shortlist when scientific computing and statistics address a documented preparation gap, the published entry conditions are met and the full budget is available. It is a poor choice when the plan depends on a guaranteed scientific computing result that the cited sources don’t publish.

The decision turns on what statistics adds after earlier preparation in scientific computing. Published programme information supports the academic case; it doesn’t supply a personal employment forecast.

The shortlist weakens when the applicant can't identify a new capability, when the funding plan relies on part-time income, or when scientific computing is treated as an automatic result. For MPhil Data Intensive Science, unresolved equivalence, immigration and employer decisions remain separate from the award.

Sources

Official programme, admissions, fee, outcome and immigration sources checked on 2 November 2026 support the facts on this page.

Sources checked on November 2, 2026. The next intake covered here is 2027 intake.