UEL MSc Artificial Intelligence
University of East London · School of Architecture, Computing and Engineering · London, United Kingdom- Full time
- Docklands or Stratford campus
- IELTS Academic 6.0 overall with 6.0 in writing and speaking and 5.5 in listening and reading
Tuition, twelve-month living plan, visa and estimated health surcharge.
international 2026/27
full-time route
applications open soon
check live intake page
course component rules
credited to tuition
What is the UEL MSc Artificial Intelligence?
UEL MSc Artificial Intelligence is a one-year full-time master’s in London. The published 2026/27 international tuition is GBP 17,220, roughly INR 22.04 lakh at the reference rate used here. The budget below combines tuition with the current visa, health-surcharge and London maintenance assumptions without deducting a scholarship.
The course moves from Artificial Intelligence and Machine Vision to Professional Life Dissertation across 180 credits and focuses on intelligent systems, machine learning, machine vision, responsible AI and discipline-specific research. This page is for September 2027 planning. UEL has not yet published the complete deadline chain or the next fee cycle, so the dated 2026/27 figures remain clearly labelled. The live unit set lists 5 units totalling 180 credits.
How much does UEL MSc Artificial Intelligence cost for an Indian student?
The full-programme planning total is GBP 37,290, about INR 47.73 lakh. It combines GBP 17,220 tuition, twelve months of living costs, the Student visa fee and an estimated student health surcharge. Flights and the first housing deposit remain outside it.
| Item | INR | Local currency | When it is due |
|---|---|---|---|
| Tuition, full programme | INR 22.04 lakh | GBP 17,220 | University payment schedule |
| Living plan, 12 months | INR 23.49 lakh | GBP 18,348 | GBP 1,529 budgeted monthly |
| Student visa | INR 71,424 | GBP 558 | At visa application |
| Immigration Health Surcharge estimate | INR 1.49 lakh | GBP 1,164 | At visa application |
| Full-programme planning total | INR 47.73 lakh | GBP 37,290 | Before flights and housing deposit |
The <a href="https://www.gov.uk/student-visa/money" rel="noopener">London Student visa maintenance amount</a> is GBP 1,529 a month for up to nine months. It is living money and isn't added again. Converted at GBP 1 = INR 128.00 using ECB reference rates dated 7 September 2026. The health surcharge remains an estimate because the CAS dates determine visa length.
The London living row uses the current Student visa maintenance amount of GBP 1,529 a month as a planning floor. Actual rent can exceed it, so the total needs comparison with a real room offer before commitment.
UEL automatically considers eligible international offer-holders for awards of GBP 500 to GBP 5,000. The main total doesn’t deduct an award because the amount remains discretionary until it appears in the offer.
UEL allows a GBP 1,500 payment to begin pre-CAS checks. The full amount required for CAS is course-specific and stated in the offer; every payment is part of tuition, not an extra cost.
The estimated IHS uses the current GBP 776 yearly student rate and an illustrative 18-month permission. Flights, exchange spreads, optional travel, a refundable housing deposit and personal contingency are omitted because no single amount applies to everyone.
Fee status can change the billed amount. UKCISA explains how England fee status is assessed; this page uses the published international fee of GBP 17,220 and can’t decide an individual classification.
A responsible comparison keeps tuition and living separate. Artificial Intelligence and Machine Vision may be academically attractive while the full cash requirement remains unsuitable, and the reverse can also be true.
The health-surcharge rate is stated directly.
“£776 per year for students, their dependants, and those on a Youth Mobility Scheme visa, for example £1,552 for a 2-year visa”GOV.UK health surcharge
The GBP 1,164 row is an illustrative 18-month estimate rather than a new official tariff.
The maintenance evidence period also matters.
“You must have this money for at least 28 consecutive days. The end date of the 28 day period must be within 31 days”GOV.UK Student visa funds
An Indian applicant should preserve the complete compliant statement period.
Can an Indian applicant meet UEL MSc Artificial Intelligence entry rules?
UEL evaluates the course requirement and Indian qualification equivalence separately. UEL normally asks for 50% from Delhi, Mumbai, Pune, Kolkata, Chennai, Anna, Bharathiar, MSU Baroda or Bangalore, and 55% from other recognised Indian institutions. The course team still decides subject fit and any experience requirement.
| Requirement | Published rule | What you do |
|---|---|---|
| Earlier degree (India) | A bachelor's degree with minimum Second Class 2:2 or accepted equivalent in computing or a related subject | Map marks and projects to Artificial Intelligence and Machine Vision |
| India equivalence (India) | UEL normally asks for 50% from Delhi, Mumbai, Pune, Kolkata, Chennai, Anna, Bharathiar, MSU Baroda or Bangalore, and 55% from other recognised Indian institutions. | Confirm the Indian award before preparing for Intelligent Systems |
| English (India) | IELTS Academic 6.0 overall with 6.0 in writing and speaking and 5.5 in listening and reading | Protect every English component needed for Professional Life Dissertation |
| English waiver (India) | A waiver is not automatic from English-medium study | Get a written waiver before planning Machine Learning on Big Data |
| Additional course check (India) | No GRE or GMAT condition is published | Use assessed evidence related to technical research |
The MSc Artificial Intelligence evidence map starts with Artificial Intelligence and Machine Vision. A marked module, project or workplace result is stronger than a broad claim of interest in intelligent systems.
Readiness for Intelligent Systems forms the next part of the map. Where an Indian transcript uses a vague title, the official syllabus and assessment can show UEL the relevant method.
Preparation for Machine Learning on Big Data should be separate from percentage equivalence. The percentage checks award level, while the course team judges readiness for machine vision.
The application should also anticipate Computer Vision. One concrete example showing a decision, result and limitation gives UEL more evidence than a list of software or soft skills.
The final check works backwards from Professional Life Dissertation. Previous independent work should show that the applicant can bound a question, choose evidence and sustain analysis for MSc Artificial Intelligence.
Preparation for Artificial Intelligence and Machine Vision is clearest when earlier study documents intelligent systems; that evidence helps UEL judge readiness for work related to AI engineering. Preparation for Intelligent Systems is clearest when earlier study documents machine learning; that evidence helps UEL judge readiness for work related to machine-learning support. Preparation for Machine Learning on Big Data is clearest when earlier study documents machine vision; that evidence helps UEL judge readiness for work related to software development. Preparation for Computer Vision is clearest when earlier study documents responsible AI; that evidence helps UEL judge readiness for work related to data work. Preparation for Professional Life Dissertation is clearest when earlier study documents technical research; that evidence helps UEL judge readiness for work related to research.
An applicant can substantiate readiness for Professional Life Dissertation with a marked example of machine learning, explaining the method and what it taught them about machine-learning support. An applicant can substantiate readiness for Computer Vision with a marked example of machine vision, explaining the method and what it taught them about software development. An applicant can substantiate readiness for Machine Learning on Big Data with a marked example of responsible AI, explaining the method and what it taught them about data work. An applicant can substantiate readiness for Intelligent Systems with a marked example of technical research, explaining the method and what it taught them about research. An applicant can substantiate readiness for Artificial Intelligence and Machine Vision with a marked example of intelligent systems, explaining the method and what it taught them about AI engineering.
Three checks that decide a MSc Artificial Intelligence application
The course rule is separate from the percentage
Clearing the India percentage does not remove this course requirement. A bachelor’s degree with minimum Second Class 2:2 or accepted equivalent in computing or a related subject
Every English component matters
The checked course rule is IELTS Academic 6.0 overall with 6.0 in writing and speaking and 5.5 in listening and reading. Other accepted evidence needs written confirmation from UEL.
The course limitation can change the choice
A published entry threshold does not settle whether the route suits the applicant’s intended profession. Test the specific limitation in the fit comparison before committing.
How should an Indian applicant apply for UEL MSc Artificial Intelligence?
An application goes through UEL’s direct postgraduate route after the degree map, English evidence and finance plan are ready. File names and referee availability should be checked before anything is uploaded. The full September 2027 international deadline is not yet published, and a course can close when places fill.
The route uses the exact one-year full-time course, a direct application, academic and English uploads, applicant-portal monitoring, cleared offer conditions and completed tuition-payment and CAS steps.
| Step | Task | Allowance | Why it matters |
|---|---|---|---|
| 01 | Check academic fit | 14 days | Match the prior degree and evidence to Artificial Intelligence and Machine Vision. |
| 02 | Finish English evidence | 90 days | Meet the overall and component rules with time for a retake. |
| 03 | Prepare documents | 21 days | Collect marksheets, degree evidence, statement and any course-specific material. |
| 04 | Submit direct | 1 day | The submission must use the exact full-time route and retain its confirmation. |
| 05 | Clear offer and CAS steps | 60 days | Pay the required tuition amount and complete every compliance check. |
The allowances are preparation estimates, not deadlines or processing times published by University of East London. Start dates remain unconfirmed.
The checked international deadline page still governs September 2026 and doesn’t yet provide the complete September 2027 chain. Moving the old dates forward by one year would be unsupported.
For MSc Artificial Intelligence, finish the subject map before writing the statement. Connect previous evidence to Artificial Intelligence and Machine Vision and Machine Learning on Big Data, then explain how Professional Life Dissertation serves the intended next step.
After an offer, GBP 1,500 can begin pre-CAS checks, but the offer letter controls the further amount required for CAS. Payment can’t replace academic, English, compliance or visa conditions.
UEL issues CAS only after its offer, payment and pre-CAS checks are complete. Financial and credibility evidence needs to be ready because the review is substantive, not a formality.
The portal record, offer, payment evidence and every version of uploaded documents should be retained. Consistent details reduce avoidable questions during CAS and visa review.
UEL’s postgraduate guidance requires applicants to submit through the relevant course page, upload transcripts and certificates, add a personal statement and provide a reference. Some courses can add an interview or portfolio.
Course availability and deadlines can change before a central date. Recheck the exact route before submission or payment.
What jobs can follow UEL MSc Artificial Intelligence?
UEL MSc Artificial Intelligence can support a portfolio for roles connected to intelligent systems. The useful evidence is assessed work whose brief, method, feedback and limitations remain visible. Neither the degree nor the UK Graduate route guarantees employment, salary or sponsorship, so the outcome case must stand without those assumptions.
| Measure | Figure | Basis |
|---|---|---|
| Artificial Intelligence and Machine Vision | Published taught preparation | Official MSc Artificial Intelligence course structure |
| Professional Life Dissertation | an AI dissertation that records data choices, model evaluation, error analysis and ethical limits | Published assessed course work |
| Career directions | AI engineering, machine-learning support, software development, data work and research | Course Structure and official career context |
| Guaranteed position | None published | No audited course guarantee located |
Position examples support portfolio planning. They aren't a cohort-wide probability and don't promise salary or sponsorship.
A portfolio for AI engineering can begin with Artificial Intelligence and Machine Vision. Keep the brief, working files, result and a short account of what changed after evaluation.
For machine-learning support, Intelligent Systems becomes useful only when it demonstrates machine learning through an inspectable decision rather than a generic summary.
Assessment from Machine Learning on Big Data can support software development when assumptions and limitations remain visible. The module name alone isn’t an employment credential.
The strongest sustained evidence should come from Professional Life Dissertation. It can connect intelligent systems to research, but UEL publishes no audited programme-level placement guarantee for that move.
The UK Graduate route is immigration permission, not an employment outcome. A graduate still has to secure work and any later sponsorship independently.
Assessment from Artificial Intelligence and Machine Vision can become a portfolio item for AI engineering when it makes the decision about intelligent systems inspectable. Assessment from Intelligent Systems can become a portfolio item for machine-learning support when it makes the decision about machine learning inspectable. Assessment from Machine Learning on Big Data can become a portfolio item for software development when it makes the decision about machine vision inspectable. Assessment from Computer Vision can become a portfolio item for data work when it makes the decision about responsible AI inspectable. Assessment from Professional Life Dissertation can become a portfolio item for research when it makes the decision about technical research inspectable.
For employment evidence, Professional Life Dissertation should leave behind more than a grade: retain the brief, method and result tied to machine learning and machine-learning support. For employment evidence, Computer Vision should leave behind more than a grade: retain the brief, method and result tied to machine vision and software development. For employment evidence, Machine Learning on Big Data should leave behind more than a grade: retain the brief, method and result tied to responsible AI and data work. For employment evidence, Intelligent Systems should leave behind more than a grade: retain the brief, method and result tied to technical research and research. For employment evidence, Artificial Intelligence and Machine Vision should leave behind more than a grade: retain the brief, method and result tied to intelligent systems and AI engineering.
Who is UEL MSc Artificial Intelligence for, and who should avoid it?
A strong fit has relevant academic or work documentation, intends to build inspectable assessed work, and can finance GBP 37,290 without a promised job after testing the published unit sequence. The degree is a poor fit when its specific limitation undermines the intended progression.
| Verdict | Your background | Why |
|---|---|---|
| Strong fit | Prepared for Artificial Intelligence and Machine Vision | Earlier assessed work supports the starting point in intelligent systems. |
| Strong fit | Plans to use Professional Life Dissertation | The intended next step values sustained evidence for AI engineering. |
| Needs evidence | Uncertain about Machine Learning on Big Data | Inspect its assessment before committing to the route. |
| Needs evidence | Funding at the limit | The GBP 37,290 plan excludes flights and a housing deposit. |
| Do not shortlist | Mismatch with MSc Artificial Intelligence | The specialist route is not the same as UEL's non-STEM conversion MSc. An applicant without programming and quantitative preparation risks beginning at the wrong level. |
| Do not shortlist | Needs guaranteed research work | No course-level guarantee supports that borrowing assumption. |
Positive fit begins with evidence of prior method, not merely formal eligibility. Artificial Intelligence and Machine Vision should then extend that preparation and leave the student ready for the course’s actual starting level.
The academic middle matters too. Machine Learning on Big Data should advance the applicant towards AI engineering rather than become isolated work with no place in the final portfolio.
The negative fit appears when the course-specific tradeoff conflicts with the applicant’s real aim. That mismatch is more important than clearing a broad 2:2 threshold.
A final self-check puts Intelligent Systems, Computer Vision and Professional Life Dissertation beside the intended work in research. If those outputs don’t help, another programme deserves the year and budget.
A good-fit check asks whether the applicant wants the actual intelligent systems work inside Artificial Intelligence and Machine Vision, not merely the MSc Artificial Intelligence award name or the prospect of AI engineering. A good-fit check asks whether the applicant wants the actual machine learning work inside Intelligent Systems, not merely the MSc Artificial Intelligence award name or the prospect of machine-learning support. A good-fit check asks whether the applicant wants the actual machine vision work inside Machine Learning on Big Data, not merely the MSc Artificial Intelligence award name or the prospect of software development. A good-fit check asks whether the applicant wants the actual responsible AI work inside Computer Vision, not merely the MSc Artificial Intelligence award name or the prospect of data work. A good-fit check asks whether the applicant wants the actual technical research work inside Professional Life Dissertation, not merely the MSc Artificial Intelligence award name or the prospect of research.
A pre-enrolment comparison should set the likely assessment in Professional Life Dissertation beside the daily reasoning used in machine-learning support; a mismatch on machine learning is a reason to reconsider. A pre-enrolment comparison should set the likely assessment in Computer Vision beside the daily reasoning used in software development; a mismatch on machine vision is a reason to reconsider. A pre-enrolment comparison should set the likely assessment in Machine Learning on Big Data beside the daily reasoning used in data work; a mismatch on responsible AI is a reason to reconsider. A pre-enrolment comparison should set the likely assessment in Intelligent Systems beside the daily reasoning used in research; a mismatch on technical research is a reason to reconsider. A pre-enrolment comparison should set the likely assessment in Artificial Intelligence and Machine Vision beside the daily reasoning used in AI engineering; a mismatch on intelligent systems is a reason to reconsider.
What does the UEL MSc Artificial Intelligence curriculum contain?
The official course page publishes the modules below for the current one-year full-time route, totalling 180 UEL credits. The sequence shows the taught balance and final assessed work, but UEL can update module content, assessment or availability. The live course page and offer information therefore remain controlling.
| Component | UEL credits | Where it sits |
|---|---|---|
| Artificial Intelligence and Machine Vision | 30 | |
| Intelligent Systems | 30 | |
| Machine Learning on Big Data | 30 | |
| Computer Vision | 30 | |
| Professional Life Dissertation | 60 | |
| Total | 180 |
The note “Published as core module. Recheck availability and assessment before enrolment” applies to 5 components in this table.
- Complete the 180-credit full-time award.
- Take every compulsory module and only the permitted option combination.
- Recheck module availability, prerequisites and assessment before enrolment.
Artificial Intelligence and Machine Vision establishes the course’s starting method, while Professional Life Dissertation turns that preparation into sustained assessed work. The titles describe a progression, not a promise that every assessment format will remain unchanged.
The current page lists 5 modules totalling 180 credits. Confirm any decision that depends on a particular assessment, timetable or specialist topic before accepting an offer.
Should an Indian applicant shortlist UEL MSc Artificial Intelligence?
Shortlist MSc Artificial Intelligence when earlier study supports Artificial Intelligence and Machine Vision, the final assessment advances the intended work, and the INR 47.73 lakh plan works without promised earnings. Test that choice against one realistic alternative before any deposit, and make sure it survives the course-specific limitation below.
The case for MSc Artificial Intelligence begins with Artificial Intelligence and Machine Vision, develops through Intelligent Systems and must become inspectable in Professional Life Dissertation. UEL's name cannot replace that progression.
Two things are genuinely hard here. The specialist route is not the same as UEL's non-STEM conversion MSc. An applicant without programming and quantitative preparation risks beginning at the wrong level. And the GBP 37,290 planning case must work before uncertain earnings, discounts or exchange-rate gains.
- UEL lists MSc Artificial Intelligence as a one-year full-time master's at London Campus.
- The published 2026/27 international tuition is GBP 17,220.
- The full planning case is GBP 37,290, about INR 47.73 lakh, before flights and a housing deposit.
- The London route offers January, May and September starts, with timing confirmed for the chosen intake.
- The current English baseline is IELTS Academic 6.0 overall with 6.0 in writing and speaking and 5.5 in listening and reading.
- Eligible master's graduates applying from 1 January 2027 receive an 18-month UK Graduate visa.
Frequently asked questions
How much is UEL MSc Artificial Intelligence for Indian students?
International tuition for 2026/27 is GBP 17,220. Adding twelve months of living at GBP 1,529 monthly, the GBP 558 Student visa and an estimated GBP 1,164 IHS gives GBP 37,290, about INR 47.73 lakh. Flights and a housing deposit are excluded.
What is the deadline for UEL MSc Artificial Intelligence?
No fixed deadline is stated for every London start. The chosen intake must be checked. A course can close early, so confirm the exact full-time route before submission or payment.
What Indian marks are needed for UEL MSc Artificial Intelligence?
For a one-year Indian bachelor's, UEL normally asks for 55%, or 52% from Delhi, Mumbai or Pune. A two-year master's normally needs 60%. The programme separately requires A bachelor's degree with minimum Second Class 2:2 or accepted equivalent in computing or a related subject Meeting the percentage alone doesn't guarantee admission.
What IELTS score does UEL MSc Artificial Intelligence require?
The checked course information uses IELTS Academic 6.0 overall with 6.0 in writing and speaking and 5.5 in listening and reading. Other accepted evidence and Indian school-English waivers have specific conditions, so obtain confirmation before relying on an exemption.
Can I work in the UK after UEL MSc Artificial Intelligence?
An eligible graduate can apply from inside the UK after successful completion is reported. Graduate visa applications made from 1 January 2027 receive 18 months. The route permits most work and job-seeking but doesn't guarantee employment or sponsorship.
Is UEL MSc Artificial Intelligence full time?
Yes. This page covers only the one-year full-time route at London Campus. It focuses on intelligent systems, machine learning, machine vision, responsible AI and technical research. Part-time, online, placement and advanced-practice variants have different calendars and are outside this record.
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 September 2027. Applications open soon.
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