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Swansea MSc Data Science

Swansea University · School of Mathematics and Computer Science · Swansea, United Kingdom
  • Full-time
  • Bay Campus
  • Taught master's
14 min read · Published on September 9, 2026 · Updated on September 9, 2026
Planning totalINR 57.01 lakh

Tuition, living, visa and health charge for 12 months

TuitionGBP 24,200

2026/27 international fee

Duration12 months

full-time in Swansea

ApplicationDates pending

September 2027 cycle

Academic2:2 equivalent

programme rule applies

EnglishIELTS 6.0

component minimum applies

DepositGBP 4,000+

Indian state rule applies

What does Swansea's MSc Data Science cover?

Swansea’s MSc Data Science is a 12-month full-time programme covering machine learning, data mining, visual analytics, optimisation, big data and a project. International tuition for 2026/27 is GBP 24,200. Adding Swansea’s live living estimate, the Student visa and a typical health surcharge gives about INR 57.01 lakh.

The programme is planned here for September 2027. Academic match turns on the degree academic area or professional route shown in the eligibility section; an Indian percentage does not decide the case alone. September 2027 fees and deadlines are not yet official. The figures need another check in November 2026 rather than carrying the 2026 cycle forward silently.

How much does Swansea MSc Data Science cost?

The 12-month planning total is GBP 44,591, about INR 57.01 lakh. Tuition is GBP 24,200; Swansea’s current single-person living and rent figures account for GBP 18,669. Visa and health charges make up the balance. Flights, exchange spreads and refundable setup cash aren’t included in this figure.

Full-programme planning total

ItemINRLocal currencyWhen it is due
Programme tuitionINR 30.94 lakhGBP 24,20050% by enrolment, then two 25% instalments
Living and rent estimateINR 23.87 lakhGBP 18,66912 months using March 2026 figures
Student health surchargeINR 1.49 lakhGBP 1,164Planning basis for 18 months
Student visaINR 71,344GBP 558Outside-UK application
Full-programme planning totalINR 57.01 lakhGBP 44,591Before flights and exchange spreads

The normal GBP 4,000 deposit is part of tuition. Andhra Pradesh, Gujarat and Telangana applicants pay GBP 8,000, while Haryana and Punjab applicants pay first-year tuition in full, less confirmed awards. Converted at GBP 1 = INR 127.8564, derived from ECB reference rates dated 7 September 2026. Bank rates and remittance charges differ.

Swansea’s March 2026 estimate is GBP 754.10 a month excluding rent. The University’s average medium en-suite room is GBP 185 a week with bills included. Extending both current figures across 12 months gives GBP 18,669. Actual rent contracts and spending can change that estimate.

A self-funded international offer needs a GBP 4,000 minimum deposit before CAS processing under Swansea’s published rules. The Indian state rules can raise the amount to GBP 8,000 or full first-year tuition. That isn’t an added fee; it is a cash-flow difference.

The 2026 Student visa fee is GBP 558. The student health surcharge is GBP 776 a year and part-years are charged in six-month blocks. GBP 1,164 is therefore a transparent planning amount for a typical 12-month master’s permission, not a promise about the dates printed on an individual CAS.

Swansea’s International Excellence Scholarship can reduce tuition by up to GBP 5,000, but September 2026 applications are closed. The total doesn’t subtract an award because the next cycle and individual eligibility are not yet confirmed.

Can an Indian student apply for Swansea's MSc Data Science?

Swansea requires a 2:2 degree in Computer Science or a related discipline. An Indian percentage converts the degree class; it does not waive that programme-level academic area, qualification or experience test. The working Indian benchmark is 55% or CGPA 6.1/10, plus the computing academic area rule. Document both requirements separately in the supporting record.

RequirementPublished ruleWhat you do
Data Science degree match (India)a 2:2 degree in Computer Science or a related disciplineMap the study record and experience to the particular programme wording
Indian mark equivalence (India)55% or CGPA 6.1/10, plus the computing academic area ruleUse the scale printed by the awarding university
English threshold (India)IELTS 6.0 overall with no component below 5.5Clear the overall and every component minimum
Indian English alternative (India)A qualifying Class XII result or eligible recent English-medium degree may replace IELTSCheck the board, institution and recency table

A study record-based preparation check can use the official subjects themselves. Data Science opens choices around Optimisation Techniques, Data Visualisation & Visual Analytics, Machine Learning, Research Methods, Symbolic AI and Natural Language Processing. The prospective student should point to previous quantitative, technical or organisational work that supports those areas, then identify what is genuinely new. That comparison is more diagnostic than matching only the name printed on the bachelor’s certificate.

A coherent Data Science roadmap can begin with Optimisation Techniques, test that preparation through Research Methods, and finish against MSc Project. That sequence links prior preparation to an assessable result and then to a plausible career. If the prospective student cannot explain the connection in plain words, the Data Science shortlist still lacks an academic and career argument.

For Data Science, a concrete record file could place Advanced Machine Learning: Computer Vision and Deep Learning beside the prospective student’s previous work, use Data Visualisation & Visual Analytics to expose a missing method, and reserve MSc Project for an independent answer. This three-part check is specific to the official Data Science menu and gives the personal statement a testable reason for choosing Swansea.

Compare Data Science with another offer by putting Machine Learning and Symbolic AI and Natural Language Processing in the first column, the assessed output in the second, and the target career in the third. Swansea earns its place only when that comparison supports the target career more directly than the alternative curriculum.

The application can then cite Optimisation Techniques as the starting problem, Research Methods as the method gap, and MSc Project as the likely proof point. For Data Science, those named Swansea units make the academic roadmap concrete. They also let a reviewer challenge the roadmap before the prospective student commits INR 57.01 lakh to a route aimed at the stated career families.

Three Data Science checks that can stop an application

  1. The programme rule outranks the country percentage

    The country table converts an Indian mark into a UK degree class. It does not waive a 2:2 degree in Computer Science or a related discipline. A student can clear the percentage and still miss the required academic area, mathematics record or work history.

    “Bachelor (minimum of 3 year)” with 55% maps to the standard UK 2:2 route.Swansea University, India entry equivalence
  2. Every English component must clear its own minimum

    The route publishes IELTS 6.0 overall with no component below 5.5. A higher overall result cannot repair a component below the stated floor. An Indian school or English-medium alternative works only when the live board, awarding institution and recency conditions all match.

  3. The main limitation belongs in the judgement

    Swansea explicitly says this MSc is not appropriate without a Computer Science degree or equivalent background and points beginners to Applied Data Science. A written programme-team answer is necessary when the live wording leaves the individual file on the boundary.

How should an Indian student apply for Swansea Data Science?

The application has three owners. The student submits through Swansea's system, the University decides admission and CAS, and UKVI decides the Student visa. The September 2027 international deadline is not published yet. The schedule must also leave enough time for documents, deposit payment and any CAS correction.

Programme fit, Swansea portal, offer conditions, deposit, CAS and Student visa

StepTaskAllowanceWhy it matters
01Resolve Data Science fit14 daysMap the degree, subjects, marks and English evidence.
02Prepare official records28 daysCollect transcripts, degree certificate, passport and statement.
03Submit to Swansea21 daysUse the University portal and track requests for missing evidence.
04Clear offer and deposit28 daysMeet conditions, accept the offer and pay the state-linked deposit.
05File the Student visa42 daysCheck CAS, finance evidence, TB certificate and immigration charges.

The allowances are preparation estimates, not deadlines or processing times published by Swansea University. Start dates remain unconfirmed.

The application sequence starts with the Data Science entry wording rather than the document list. This prevents a clean but ineligible file from reaching the deposit stage. Swansea asks international applicants for transcripts, certified translations where needed, degree certificates, English evidence and a personal statement.

The portal then passes ownership to Swansea. An offer can carry academic or English conditions. The GBP 4,000 minimum deposit follows an offer, and the University issues CAS after the deposit, offer acceptance and academic conditions are cleared.

UKVI owns the last decision. A Student visa application from outside the UK usually takes three weeks after identity and documents are completed, but that service aim does not include time for TB testing, finance-evidence preparation, CAS corrections or a late document request.

What jobs follow Swansea Data Science?

Swansea connects MSc Data Science with data science, machine learning, data analysis, visualisation and data-engineering roles, but publishes no placement rate for this particular programme cohort. The curriculum can support those directions. It can't promise a job, salary, professional licence or Skilled Worker sponsor.

MeasureFigureBasis
Data Science career directionsdata science, machine learning, data analysis, visualisation and data-engineering rolesLive Data Science curriculum
Record official for Data ScienceSee the programme-specific record stated aboveSwansea's Data Science page
Post-study period after Data Science18 months for applications from 1 January 2027Immigration rule applying to the Data Science cohort
Hiring promise from Data ScienceNo individual guarantee is officialA Data Science admission and a work visa are separate decisions

The Data Science curriculum can help a graduate assemble assessed work. It proves neither hiring in the listed career families nor a salary, professional membership or Skilled Worker sponsor for an individual graduate.

A Data Science graduate in this cycle faces the shorter post-study period that applies from 1 January 2027. It permits job search and work, but cannot extend itself or compel sponsorship. Eligibility still depends on completing the Swansea award under Student permission and applying from inside the UK.

How is Swansea ranked for Data Science?

Rankings give subject context for Data Science, not an admission or employment result. The exact curriculum and entry match still decide whether this programme belongs on a student's shortlist. These results do not measure teaching fit, individual performance or graduate hiring.

PublisherPositionTable and year
QS201 to 250Computer Science and Information Systems 2026
Times Higher Education251 to 300Computer Science 2026

Who is Swansea Data Science for, and who should look elsewhere?

A strong Data Science match already holds the academic base named by Swansea and can name the missing capability this degree should add. A borderline file clears the score yet cannot document its academic area or experience condition. The poor match is the person for whom the programme-specific limitation defeats the target outcome.

VerdictYour backgroundWhy
Strong fitStudy record already aligned with Data ScienceThe prior record satisfies the academic area and experience test shown above.
Strong fitGraduate ready to build a Data Science capstoneIndependent assessment around MSc Project can become visible work.
Needs evidenceData Science prospective student relying on the 55% country lineSwansea can still apply the narrower Data Science academic area, component or experience condition.
Do not shortlistProspective student exposed to the main Data Science drawbackThe limitation described in the verdict defeats the target use of this degree.

This is not Swansea’s beginner route. The official entry rule expects Computer Science or a related discipline, and the route page directs applicants without that background towards Applied Data Science. A prepared student should already be able to code, reason about algorithms and work with data before confronting Optimisation Techniques, Machine Learning and advanced computer vision. The MSc project can then answer a substantive question with reproducible code, evaluation and limitations. Someone seeking their first exposure to programming should not treat the 55% equivalence as proof of readiness. Compare the prerequisite assumptions first; the technically harder title is not automatically the better investment.

A credible readiness repository should include readable code, train-validation separation, an appropriate baseline and an account of error. Visual polish cannot replace those elements. Optimisation and advanced machine learning will be more useful when the prospective student can already diagnose leakage, overfitting and weak evaluation instead of learning basic programming during the same compressed year.

What will you study in Swansea Data Science?

Swansea publishes 7 named modules or route choices for this programme. The full award is 180 UK credits and the table retains every named item found on the current course page. Options and alternative capstones are choices inside one course, not extra qualifications a student completes together.

Complete published module list

CodeComponentUK creditsWhere it sits
CSCM072Optimisation Techniques20
CSCM437Data Visualisation & Visual Analytics20
CSCM445Machine Learning20
CSCM010Research Methods20
CSCM422Symbolic AI and Natural Language Processing20
CSCM477Advanced Machine Learning: Computer Vision and Deep Learning20
CSPM20MSc Project60
Total180

The note “Published option or required module” applies to 7 components in this table.

  • Complete 180 UK credits for the master's award.
  • Treat optional modules and alternative capstones as choices, not a combined workload.
  • Use the registered timetable because Swansea labels the published list illustrative and subject to change.

Every title in the module table should be read against the existing transcript before assuming that Data Science creates new depth. The comparison should identify the exact area an employer or doctoral supervisor will examine after graduation.

The final project or dissertation carries a large share of the award. It rewards a feasible question, access to evidence and disciplined independent work. It does not become an employer placement merely because it uses a practical problem.

Swansea states that module details are illustrative and may change. The current course page and registration timetable decide the live set. This table therefore preserves the complete published names without inventing a semester, credit split or guaranteed option where the University has not promised one.

Should an Indian student shortlist Swansea Data Science?

Shortlist Data Science after checking four things together. The study record must match, the target intake must be usable, the full budget must be funded, and the assessed work must support a realistic first career. Confirm the route-level match before paying a deposit because Swansea’s name cannot repair a mismatch.

Within the 12-month Data Science structure, 180 credits avoid a second tuition year. The same compressed Data Science calendar leaves little recovery time when prior preparation is weak or a preferred pathway does not run. Its final work can support the target career, but the assessment is neither a placement nor professional status. The most revealing Data Science test asks for a defined gap in the prospective student's present record and a credible piece of work that will close it. If the answer depends mainly on rank, city or the word master's, the case for this offer is weak. A named project and realistic first career give the one-year format a defensible purpose.

Before paying, the MSc Data Science prospective student should match the study record and experience to Swansea's programme-specific academic rule. The financial constraint is about INR 57.01 lakh before flights and exchange spreads. A viable budget funds that amount without treating uncertain part-time earnings or an unconfirmed scholarship as the main source.

Decision checksData Science cost · Data Science entry · Data Science timing · Data Science careers

Key takeaways
  • Swansea MSc Data Science is a 12-month, full-time, 180-credit taught master's.
  • The 2026/27 international tuition is GBP 24,200, before living and immigration costs.
  • A 12-month planning total reaches GBP 44,591, approximately INR 57.01 lakh, before flights and exchange spreads.
  • The normal international deposit is GBP 4,000, but three Indian states pay GBP 8,000 and two pay first-year tuition in full.
  • The programme-level academic rule is a 2:2 degree in Computer Science or a related discipline.
  • Eligible non-doctoral Graduate visa applications made from 1 January 2027 receive 18 months.

Frequently asked questions

How much does Swansea MSc Data Science cost for an Indian student?

The 2026/27 international tuition is GBP 24,200. A 12-month plan using Swansea's March 2026 living figures, the Student visa fee and an 18-month health surcharge reaches GBP 44,591, or about INR 57.01 lakh. The deposit forms part of tuition and varies by the applicant's Indian state.

What Indian marks are needed for Swansea MSc Data Science?

Swansea asks for a 2:2 degree in Computer Science or a related discipline. For India, the degree benchmark is 55% or CGPA 6.1/10, plus the computing subject rule; subject or experience conditions still apply. Borderline applicants should obtain a written eligibility reply before paying a deposit.

What IELTS score does Swansea MSc Data Science require?

Swansea publishes IELTS 6.0 overall with no component below 5.5. Some Indian Class XII boards or an eligible recent English-medium bachelor's degree can replace IELTS, but the board, mark, awarding institution and recency conditions apply. Check the current country-specific English table before relying on an exemption.

When should an Indian student apply for Swansea MSc Data Science?

The current planning date is not yet published for September 2027. Start with the programme-level academic rule, then leave time for transcripts, an offer, the state-linked deposit, CAS checks and the Student visa. Swansea can close a course before the stated deadline when all available places are filled.

Does Swansea MSc Data Science require GRE or GMAT?

The current course page publishes no GRE or GMAT requirement for MSc Data Science. Do not pay for either exam for this application unless Swansea asks for it after reviewing the file. Degree subject, marks, English evidence and any stated professional experience remain the published admission factors.

What jobs follow Swansea MSc Data Science?

Swansea connects the curriculum with data science, machine learning, data analysis, visualisation and data-engineering roles. It does not publish a placement rate for this exact programme cohort. These are career directions, not promises. The employer decides hiring and sponsorship, while the Graduate route provides 18 months for eligible applications made from 1 January 2027.

What is the main drawback of Swansea MSc Data Science?

Swansea explicitly says this MSc is not appropriate without a Computer Science degree or equivalent background and points beginners to Applied Data Science. Check that point on the current page and get written clarification before paying a deposit. Rankings cannot repair a mismatch in entry, curriculum or professional outcome.

Sources

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

Sources checked on September 8, 2026. This page uses September 2027 only as a planning cycle. The university has not published dates for that cycle.

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