Overview

In the age of automation, having a broad skill set is key to thriving. This course doesn’t just cover theory; it equips you with practical skills you can use right away. You will learn to design machine learning models, handle complex data, and create AI systems that make autonomous decisions. The curriculum ensures you build both technical know-how and strategic insight. You will sharpen your skills in Python, TensorFlow, and cloud computing, while also critically examining AI's ethical challenges.

Collaboration is another core part of the programme, pushing you to team up with peers from varied backgrounds to tackle real-world issues. By the end, you will have the hands-on expertise to face any AI challenge head-on.

Accreditation

The MSc AI and Machine Learning course is accredited by the London School of Innovation (LSI). Upon successful completion, participants will receive a certificate in AI and Machine Learning, demonstrating their expertise in cutting-edge AI technologies, including neural networks, machine learning, and generative AI.

Programme Structure

Year 1 - Semester 1

Applied Machine Learning (ML71) - 30 credits
AI in Business: Strategies and Implementation (MA71) - 15 credits
Advanced Leadership for Innovation (AL71) - 15 credits (optional)
Interaction Design for User-Centred Systems (VS71) - 15 credits (optional)

Year 1 - Semester 2

GenAI Agent Engineering (LL71) - 30 credits
Advanced Computer Vision (CV72) - 30 credits (optional)
Deep Learning (DL71) - 30 credits (optional)

Year 1 - Semester 3

Master's Final Project (FP10) - 60 credits

Audience

This course is for professionals seeking to deepen their knowledge in AI and Machine Learning. Ideal participants include:

AI Enthusiasts
Business Intelligence Analysts
Technology Consultants
AI Researchers
Software Architects
Robotics Engineers
Automation Experts
AI Solutions Developers
Educational Technologists
Digital Transformation Leaders
Tech Entrepreneurs
Marketing and Product Managers

Lecturers

The course will be delivered by experienced AI practitioners, including researchers and industry leaders specializing in machine learning, neural networks, and AI ethics.

Key information

Duration

Full-time
- 12 months
Part-time
- 24 months
- 14 hrs/week

Start dates & application deadlines

Starting 2026-08-01 00:00:00

Application deadline not specified.
Starting 2026-10-01 00:00:00

Application deadline not specified.

Language

English

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Credits

90 ECTS

Delivered

Online

Regular mandatory meetings
Proactive tutoring and support
Online group works/assignments

Campus Location

London Borough of Sutton, United Kingdom

Disciplines

Artificial Intelligence Machine Learning View 10 other Masters in Machine Learning in United Kingdom

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Duolingo English Test

110

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

The information below reflects the current course structure and module details. Updates may be made annually, and revised details will be published in the Programme Specifications ahead of each academic year. The regulations governing this course are available on our website.

To qualify, applicants must have a degree in STEM (science, technology, engineering or math) or Management/Business studies.

Work experience

Alternatively, applicants without a degree can qualify if they have at least 3 years of proven professional experience as a software engineer, data analyst (including programming) or similar roles.

Technological requirements

Some programmes require a foundational understanding of IT through academic or professional experience.

If you lack this background but meet other criteria, you may receive a conditional offer, subject to completing our free IT Foundation and Programming course.

Your success in this course will demonstrate your ability to learn advanced digital skills, leading to an unconditional offer.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

9900 GBP / year

≈ 9900 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

9900 GBP / year

≈ 9900 GBP / year

Additional Details

Talent is global. So is ambition. Where you are from should not affect what you pay.

We are proud to offer the same tuition fees to overseas and home students.

Funding

We invite you to explore the funding opportunities available on our website by visiting the Fees and Scholarships pages.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for MSc AI and Machine Learning.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Accreditation

Programme Structure

Audience

Lecturers

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Work experience

Technological requirements

Tuition Fees

International Applies to you

Domestic Applies to you

Additional Details

Funding

Scholarships Information

Available Scholarships

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