Swansea MSc Artificial Intelligence and Data Science

What is Swansea MSc Artificial Intelligence and Data Science?

MSc Artificial Intelligence and Data Science is a one-year master’s at Bay Campus. Its curriculum combines Optimisation, Data Visualisation and substantial final output. Tuition is GBP 25,400, about INR 33.53 lakh; the whole plan reaches GBP 41,644, about INR 54.97 lakh. Flights and programme-defined extras stay outside that figure.

The degree lists September 2027 or January 2028 and Swansea’s standard international file deadline for September is 28 July 2027. Admission, English, deposit and visa finance remain distinct tests. Capacity can close sooner, and the precise offer controls any course-defined test.

Read Optimisation beside Data Visualisation, then check how Machine Learning changes the academic balance. Optimisation establishes one side of the syllabus, while Advanced Machine Learning shows where the later output can lead. Between them, Data Visualisation, Machine Learning, Research Methods, Symbolic AI and reveal whether the degree stays broad or concentrates on a narrower technique. This sequence is a firmer comparison than the award title alone.

The contrast between Optimisation and Data Visualisation is visible in their 20-credit and 20-credit positions. Machine Learning (20 credits) sits beside Research Methods (20 credits), which makes their methods a direct comparison. The stated map gives Symbolic AI and 20 credits and Advanced Machine Learning 20 credits, so neither is a decorative topic.

For Data Visualisation, code CSCM437 and the 20-credit value clarify its compulsory position. CSCM445 identifies Machine Learning as compulsory, carrying 20 credits in the official map. Under code CSCM010, Research Methods contributes 20 credits through the compulsory rule. The catalogue labels Symbolic AI and as CSCM422; its 20 credits sit within compulsory study. For Advanced Machine Learning, code CSCM477 and the 20-credit value clarify its compulsory position. CSPM20 identifies Assignment as compulsory, carrying 60 credits in the official map.

How much does Swansea MSc Artificial Intelligence and Data Science cost?

The planning figure is about GBP 41,644, or INR 54.97 lakh, for tuition, a 52-week living model and current visa charges. The calculation starts with the published course fee of GBP 25,400 and extends Swansea’s March 2026 weekly student-cost guide across a full year.

The final health surcharge depends on the visa length and can exceed the one-year line. Swansea's deposit is part of tuition, not an added cost. INR estimates use GBP 1 = INR 132 from the UK Government consular rate for October 2026. Bank margins and exchange movement are excluded.

Visa maintenance outside London is currently GBP 1,171 a month for up to nine months.UK Government Student visa money rule

The course fee is GBP 25,400. Swansea says a full-time taught master’s has a one-year minimum candidature, and the course page controls the invoice for this intake.

The living plan uses the university’s March 2026 figures: an average halls room at GBP 185 weekly, listed groceries, leisure, clothing, phone and television costs, plus the published annual bus and course-cost guides. Extending the weekly figures to 52 weeks avoids treating a 40-week room contract as a full-year budget.

The common self-funded international deposit is at least GBP 4,000 and counts towards tuition. Swansea currently requires GBP 8,000 from applicants from Andhra Pradesh, Gujarat and Telangana, and first-year tuition in full from Punjab and Haryana. The offer and current deposit policy control the actual amount.

The current visa maintenance evidence is GBP 10,539 outside London. It is accessible money rather than an extra cost above the living plan. Funds normally need to be held for 28 consecutive days, ending within 31 days of the visa application.

Optional fieldwork, equipment, flights, rent deposits and any health surcharge beyond one year are not included. A scholarship is not used in the total, because eligibility and award are separate from admission.

Can an Indian graduate enter Swansea MSc Artificial Intelligence and Data Science?

For MSc AI and Data Science, an Indian file needs a UK 2:2 result, suitable subject preparation and the stated English score. Swansea’s India equivalence table maps the standard Indian comparison to 55%, CGPA 6.1/10, 4.5/7 or 2.67/4. A qualifying mark doesn’t replace missing course content, technical work or a required portfolio; each condition remains separate.

The course-defined academic rule is precise: A Computer Science degree or related discipline. Swansea says the degree is not appropriate without undergraduate Computer Science or equivalent preparation. Preparation for Optimisation has to be visible in completed modules, projects, a portfolio or accepted experience. A broad degree title can’t supply record that is absent from the file.

For a standard Indian bachelor’s degree, Swansea’s stated 2:2 comparison is 55%, CGPA 6.1/10, 4.5/7 or 2.67/4. A distinct prestigious-institutions curriculum map can change the comparison, while the admissions team still decides whether previous syllabus supports Data Visualisation and the rest of this degree.

The English test is IELTS 6.0 overall with at least 5.5 in every component. Swansea’s India listing describes a Class XII English route at 70% for CBSE, CISCE and State Boards within ten years, plus a restricted medium-of-instruction route. The offer must confirm whether either route removes the test test.

Applicants from Punjab or Haryana may need Swansea’s Qualification Check process after an offer, usually GBP 30 plus any institution surcharge. This verification step does not replace the university’s academic coursework.

Swansea University’s identity can be cross-checked in its Research Organization Registry file and its regulatory status through the Office for Students register. Those records identify the provider; they don’t assess admission to this qualification.

The ai and data science admission test becomes concrete around the 20-credit Data Visualisation component. Completed ai and data science modules can reinforce preparation. Suitable ai and data science projects can show applied methods. Where Swansea accepts professional experience, its relevance must be demonstrated. Interest in Data Visualisation isn’t ai and data science academic proof. The stated ai and data science degree test still applies. The ai and data science grade comparison and English remain distinct checks. The ai and data science admission test becomes concrete around the 20-credit Advanced Machine Learning component. Completed ai and data science modules can reinforce preparation. Suitable ai and data science projects can show applied methods. Where Swansea accepts professional experience, its relevance must be demonstrated. Interest in Advanced Machine Learning isn’t ai and data science academic proof. The stated ai and data science degree test still applies. The ai and data science grade comparison and English remain distinct checks. The academic screen remains precise: A Computer Science degree or related discipline. Swansea says the degree is not appropriate without undergraduate Computer Science or equivalent preparation. This wording tells the candidate what the file must prove. The stated English test is IELTS 6.0 overall with at least 5.5 in every component. English cannot repair missing subject preparation, and grades cannot replace English record. Swansea reads the whole file. One strong taught unit does not erase another missing test, while an unfamiliar degree label does not erase detailed supporting study. The stated rule and submitted file are read together. Document quality matters in the review. Clear transcripts expose ai and data science syllabus, accurate translations preserve it, and a focused statement connects the file to Swansea’s rule. Admissions can assess only submitted material. Missing taught unit detail creates uncertainty, and missing grade scales make comparison harder. Clear documentation does not guarantee admission, but it lets Swansea test the ai and data science requirements against the file.

Three checks before paying the deposit

1. Percentage does not replace subject preparation

   The India equivalence answers the grade comparison. It does not remove the degree rule: A Computer Science degree or related discipline. Swansea says the degree is not appropriate without undergraduate Computer Science or equivalent preparation.

2. An English waiver needs confirmation

   The Swansea India guidance sets board, score and recency conditions. The offer letter controls whether the test is waived.

3. Indian deposit amounts vary by state

   The current deposit policy names higher payments for Andhra Pradesh, Gujarat, Telangana, Punjab and Haryana. The deposit remains part of tuition.

How should you apply for Swansea MSc Artificial Intelligence and Data Science?

The application route works backwards from the standard 28 July 2027 international deadline for September postgraduate taught entry. Course fit comes first, followed by readable academic and English evidence in Swansea’s Learner Gateway. A complete file can still be refused, and a full course can close earlier.

The Learner Gateway application names MSc Artificial Intelligence and Data Science, full-time mode and the intended intake. An offer is followed by conditions, acceptance, the required tuition deposit, any verification, the CAS and the Student visa application.

The deadline is official for standard September 2027 postgraduate taught entry. Preparation periods are Nbyula planning allowances, and Swansea can close a full programme sooner.

Course fit comes first. The personal statement connects prior study or work to Optimisation, Data Visualisation and a realistic final project rather than restating Swansea’s course description.

Swansea asks for completed qualifications and transcripts, official translations where needed, English evidence, referee details or open references where available, and sponsorship evidence where relevant. An incomplete application can be delayed or withdrawn.

The UCAS postgraduate application guide also separates course research, evidence and submission. Swansea’s own Learner Gateway and document list control this application, so UCAS guidance is context rather than a second application route.

The central 2027 dates are 28 July for the international application, 16 August for outstanding documents and 20 August for the deposit. These are outside dates. Earlier submission leaves time to answer academic or verification questions but does not guarantee an offer.

Once the offer is unconditional and the required deposit has cleared, Swansea can progress the Confirmation of Acceptance for Studies. The CAS, financial evidence, visa application and health surcharge are separate steps after admission.

What work can follow Swansea MSc Artificial Intelligence and Data Science?

Swansea presents MSc Artificial Intelligence and Data Science as preparation for related roles, but it publishes no exact placement rate or salary median for the programme. These remain possible directions, not measured results. The student’s assessed work, project explanation and experience still matter to an employer making an individual decision.

A graduate needs record from marked output. The final assignment can reinforce a portfolio or interview example only when the candidate can explain the problem, technique, constraints and result without relying on the degree title.

The degree syllabus can reinforce machine learning, data science, ai engineering, analytics, computer vision and research, but a degree title is not an employment result. Swansea does not publish an audited placement rate, starting-salary distribution or sponsorship rate for this precise qualification. The HESA Graduate Outcomes overview explains the broader survey, not this degree’s result.

The Graduate visa currently gives an eligible master’s graduate 18 months when the file is made from 1 January 2027. It permits output and job search, but does not guarantee a role, sponsor or later Skilled Worker permission.

In the ai and data science degree, Machine Learning is worth 20 credits. Useful ai and data science employment record would explain the problem. It would name the ai and data science technique used. It would show the each ai and data science contribution and result. The ai and data science taught unit title alone proves no competence. It establishes no ai and data science recruitment route. Swansea publishes no precise ai and data science employment rate, so each output remains the record. In the ai and data science degree, Assignment is worth 60 credits. Useful ai and data science employment record would explain the problem. It would name the ai and data science technique used. It would show the each ai and data science contribution and result. The ai and data science taught unit title alone proves no competence. It establishes no ai and data science recruitment route. Swansea publishes no precise ai and data science employment rate, so each output remains the record. Swansea names possible directions across machine learning, data science, ai engineering, analytics, computer vision and research. They show potential uses of the curriculum, not a measured employment probability. Portfolio, interview, experience and output permission remain distinct record. Swansea assesses the degree; employers assess the each graduate. A useful ai and data science interview example needs context, action and result. The degree supplies marked opportunities, not a finished career story. The graduate still has to explain the precise contribution made during study. No ai and data science taught unit can guarantee sponsorship, and no dissertation can guarantee hiring. Both can create discussable output when the candidate records methods, decisions, limits and results carefully. The first ai and data science role may use only part of the degree. One organisation may value technical methods, another communication or assignment output. That variation is why a broad careers list cannot replace an precise qualification destination rate.

Who is Swansea MSc Artificial Intelligence and Data Science for?

The strongest suitability has previous study that supports the stated coursework pattern and final independent output in MSc Artificial Intelligence and Data Science. A related degree title isn't enough when the marksheet doesn't show the methods, portfolio practice or technical depth required. The candidate's intended use must also justify this one-year route.

Preparation has to appear in completed study, projects, portfolio output or accepted experience. A related title isn’t enough when the file omits the methods or technical depth behind the assessments. The statement can explain why this precise academic move follows from previous output and intended practice.

The reason to hesitate is defined to this route. Its workload, option pattern and final coursework may not provide the balance of option, practice or professional recognition needed by an adjacent candidate. That constraint belongs in the judgement before any deposit is paid.

One ai and data science suitability test is the 20-credit Research Methods component. Previous ai and data science output can reinforce its methods. A related ai and data science assignment can reinforce its coursework. The broad ai and data science degree label cannot do that alone. An candidate still needs a ai and data science reason for this component. The surrounding ai and data science workload also matters. The final ai and data science coursework decides whether the whole pattern fits. The clearest candidate for MSc Artificial Intelligence and Data Science is a computing graduate with programming and mathematical foundations who wants a fixed sequence in machine learning, AI and visualisation. The match weakens when a different balance is needed. Automatic professional status is not promised. Tuition is GBP 25,400, but price does not establish suitability. Academic trajectory and affordability need distinct answers. The option is personal but testable. Previous ai and data science study is factual, the budget is numerical, and the option structure is stated. Those three pieces make the comparison concrete. A positive match has a reason beyond rankings. It connects earlier learning with the stated ai and data science curriculum and a realistic next use. Without that connection, the option stays weak. A family can test the option in plain terms. The learner needs the academic base, the household needs the budget, and the intended role needs a credible use for the ai and data science assessments. Each answer is distinct and observable.

What will you study in Swansea MSc Artificial Intelligence and Data Science?

The published table contains 7 components or choices across taught study and final assessment. It presents the full academic menu, not a promise that every option runs or fits one timetable. The award requires 180 credits under the compulsory, option and capstone rules shown for this intake and mode.

The note “Compulsory” applies to 7 components in this table.

• The award requires 180 UK credits under the published compulsory, option and capstone rules.
• Module availability, sequencing and any field or equipment charge can change before enrolment.

The relationship between taught work and final assessment is a better fit test than any one attractive module. Options depend on course rules, prerequisites, capacity and timetable.

The source was checked on 23 October 2026. Swansea can change content or timing, and some pages contain catalogue-display conflicts described in the verdict. The final offer and enrolment module list control the student’s route.

Should an Indian student shortlist Swansea MSc Artificial Intelligence and Data Science?

MSc Artificial Intelligence and Data Science is worth shortlisting when prior study supports the published taught sequence and final assessment. Independent execution matters across the year. It isn’t enough for the title to look relevant: the transcript, projects and intended outcome must support this exact academic direction and its compressed pace.

The academic centre is the move from taught preparation into Machine Learning. That progression makes the degree more defined than a general master's in the field. It can't be chosen only for its label, because admission and later coursework both depend on the precise previous training described on the official listing. The Optimisation component contributes 20 credits to the ai and data science plan. Its ai and data science position identifies marked depth, not a promised job. Earlier ai and data science study must make this component credible. Suitable ai and data science modules can establish that base. A related ai and data science assignment can add practical record. Accepted ai and data science experience may add context where Swansea permits it. The official ai and data science curriculum map and final offer control delivery. The Symbolic AI and component contributes 20 credits to the ai and data science plan. Its ai and data science position identifies marked depth, not a promised job. Earlier ai and data science study must make this component credible. Suitable ai and data science modules can establish that base. A related ai and data science assignment can add practical record. Accepted ai and data science experience may add context where Swansea permits it. The official ai and data science curriculum map and final offer control delivery. The final recommendation for MSc Artificial Intelligence and Data Science stays conditional. The offer must settle intake details before money is committed. Bay Campus is the setting and the year is full time, but neither fact answers the preparation question. A sound shortlist survives three checks: the previous training supports admission, the finances remain workable, and the coursework pattern serves the intended next step. Failure on one test changes the ai and data science recommendation. The verdict is conditional, not promotional. It follows from the named modules, the stated admission level and the candidate's purpose for completing this particular ai and data science award. This judgement separates possibility from promise. Swansea publishes a ai and data science curriculum and admission rule, not a guaranteed organisation, salary or sponsorship result. The recommendation can rest only on academic suitability, cost and intended use.

Applicants should resolve one material limit first. This is not a conversion degree. January modules are not stated, and the one-year degree listing misleadingly places the assignment under a Year 2 heading.

Decision checks whole cost · admission suitability · file timing · destination record

Sources

These sources support the Master's degree admission, cost and immigration information on this page.

Master's degree sources checked on October 23, 2026. The next intake covered here is September 2027 or January 2028.