Don’t just use Artificial Intelligence.
Build it.

The Master of Science in Artificial Intelligence awarded by Kingston University, London.
The same degree conferred in the UK, taught face-to-face in Singapore.
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Why this degree

What this degree is for

Four reasons people enrol.
One of them will sound like you.

Move from IT into AI

You already write code or run systems. Twelve months converts that foundation into the specialisation employers are actively bidding for, without leaving your job, and with a qualification that travels wherever you do.

Get past the ceiling

Senior AI and machine learning roles increasingly use a master’s as a screening filter. A UK MSc clears it, and puts a governance vocabulary behind your technical work at exactly the moment regulators start asking for one.

Graduate with a portfolio

Six taught modules and a supervised dissertation project. You leave with systems you built and can walk an interviewer through, line by line. That is the part of the interview a transcript cannot do for you.

Study in Asia’s AI hub, work anywhere

Face-to-face classes in central Singapore, one of Asia’s leading AI hubs, where finance, healthcare and supply chain companies are building AI teams right now.

The awarding university

Kingston University, London

This is not an EGA certificate with a British name on it. It is Kingston University’s own MSc, taught to the university’s curriculum, quality-assured by Kingston University, London, and awarded on a certificate identical to the one issued on its London campus.
A public research university in south-west London, founded in 1899, with campuses at Penrhyn Road, Kingston Hill, Knights Park and Roehampton Vale.
Gold ×3
TEF rating in all three categories
20,000+
Students across four London campuses
140+
Countries represented
70%
Research rated world-leading or internationally excellent
  • Kingston’s own MSc, taught to Kingston’s curriculum
  • Quality-assured by Kingston University, London
  • Certificate identical to the London campus award
* Sources: Kingston University; Office for Students TEF 2023; Guardian University Guide 2026; Times Higher Education 2026; REF.
The programme

7 Modules. 3 Stages.
12 Months.

What you will actually be able to do. The programme moves in one direction: from writing code, to building specialist systems, to proving you can deploy them responsibly.
01

Build the foundation

Stage one · 3 modules
The engineering habits everything after this depends on: clean code, reproducible pipelines, data at scale.
  • Applied Data ProgrammingProduction-grade Python and reproducible pipelines
  • Big Data and Data MiningWorking with data too large for one machine
  • Ethics and Regulation of Artificial IntelligenceBias auditing, explainability and compliance, including the EU AI Act and its equivalents
02

Specialise

Stage two · 3 modules
Three specialisations, each mapping to a job title that exists and is being recruited for today.
  • Machine Learning and Deep LearningTrain, tune and evaluate models that hold up
  • Computer VisionSystems that read images and video
  • Cyber Security and Artificial Intelligence ApplicationsDetect threats with AI, and defend AI from attack
03

Prove it

Stage three · 1 module
The part that separates a graduate from a certificate holder: one full AI system you built end to end.
  • Project DissertationOne full AI system, supervised, on a problem you choose
Curriculum awarded and quality-assured by Kingston University, London. Full module descriptors are included in the brochure.
The market

The market you graduate into

Employers are not short of applicants. They are short of people who can build, and for the first time that shortage is the largest one on earth.
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AI model and application development is now the hardest-to-fill skill worldwide, ahead of engineering and IT.
* ManpowerGroup Talent Shortage Survey, 2026
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Of employers globally say they cannot find the skills they need. A hiring problem, not a jobs problem.
* ManpowerGroup, 2026
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Average wage premium carried by workers with AI skills, up from 57% the year before.
* PwC Global AI Jobs Barometer, 2026 · 1bn+ job ads, 27 countries
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New roles AI and information processing are forecast to create worldwide by 2030.
* WEF Future of Jobs Report, 2025

AI-skilled roles are growing eight times faster than everything else

PwC tracked more than a billion job advertisements across 27 countries and six continents. Postings that ask for specific AI skills are multiplying at a rate the rest of the labour market is nowhere near.
Jobs requiring AI skills · annual growth in postings
69%
The job market overall · annual growth in postings
9%
* Source: PwC Global AI Jobs Barometer, 2026. Annual growth in postings.
Outcomes

Where graduates go

Five roles this degree is written for, and none of them are specific to one country.

Machine Learning Engineer

Take models out of notebooks and into production systems that stay up

Who is hiring, worldwide
BankingE-commerceLogisticsHealth tech

Data Scientist

Turn data into decisions, forecasts and things the business can act on

Who is hiring, worldwide
ConsultingRetailPharmaPublic sector

Computer Vision Engineer

Build inspection, imaging and perception systems that see reliably

Who is hiring, worldwide
ManufacturingMedical imagingAutonomous systems

AI Governance Lead

Model risk, bias auditing and regulatory compliance as the rules land

Who is hiring, worldwide
BankingInsuranceGovernmentLarge enterprise

What the benchmark role pays, in the first two years

Published 2026 ranges for an entry-level machine learning engineer (0 to 2 years). Bars share one scale, converted to US dollars for comparison; labels show the figures in the local currency employers actually quote.
* Sources: Optiveum, Machine Learning Engineer Salaries by Country, 2025–26; Payscale, Machine Learning Engineer Salary in Singapore, 2026. Converted at indicative mid-2026 rates. Nominal pay only: cost of living differs sharply between these markets, and a rupee salary does not buy what a dollar salary buys, or the reverse.
* No institution can promise a salary, and we will not. These are third-party market indications, not an offer of employment or earnings. Your outcome depends on your experience, your portfolio and your interviews.
Admission

Two ways in

A degree is one route. Eight years of doing the work is the other.

The academic route

Route A
  • At least 21 years old
  • A 2:2 or above honours degree in computing, computer science, mathematics, creative computing, data science or AI technologies
  • Academic IELTS 6.5 overall with no element below 6, or an accepted equivalent

The experience route

Route B
  • Aged 30 or above
  • At least 8 years of relevant work experience, assessed as equivalent to the academic entry standard
  • Same English language requirement as Route A