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 course is accredited by the London School of Innovation (LSI).

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
- 17 hrs/week

Start dates & application deadlines

Starting 2027-02-28 00:00:00
- Apply before 2027-02-19 00:00:00
Starting 2027-06-30 00:00:00
- Apply before 2027-06-19 00:00:00
Starting 2027-10-30 00:00:00
- Apply before 2027-10-19 00:00:00

More details

Main intakes:

February
June
October

We also offer monthly intakes, providing additional flexibility for students who wish to begin their studies sooner.

Language

English

Duolingo English Test

110

Take A Free Practice Test!

TOEFL^® IBT

OR

70

Schedule TOEFL®

PTE Academic

50

Schedule a PTE test!

IELTS

6

IELTS & PTE Test Preparation

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Credits

90 ECTS

Delivered

Online

Self-paced
Proactive tutoring and support
Individual work/assignments (with online group discussions)

Campus Location

London Borough of Sutton, United Kingdom

Disciplines

Artificial Intelligence Machine Learning View 12 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

OR

70

Schedule TOEFL®

PTE Academic

50

Schedule a PTE test!

IELTS

6

IELTS & PTE Test Preparation

E2 Language Test Prep

Trusted by 7M+ Students

Start Studying Today

Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.

Study on your own schedule
Live classes with current and ex-examiners
Accurate score assesment, always
E2 Score Guarantee - Get your score or your money back!

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.

Work experience

Applicants without a degree can qualify if they have at least 3 years' professional experience in a technical or analytical position involving intellectually challenging day-to-day tasks.

Technological requirements

You should have a degree in Management/Business studies or STEM (science, technology, engineering or math). Additionally, you must have strong programming skills (in any language), be familiar with Python, and have a working knowledge of mathematics.

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

11900 GBP / year

≈ 11900 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

11900 GBP / year

≈ 11900 GBP / year

Additional Details

Fees can typically be paid either:

Full upfront payment
Through an agreed monthly instalment plan
Semesterly based on modules

Funding

LSI offers a range of scholarships to help make postgraduate study more accessible. These include the Aspire Scholarship (£3,000) for eligible students from lower-income households, the Geekess Scholarship (£4,000) for high-achieving female students pursuing leadership in technology, and the Catalyst Scholarship (£6,000) for exceptional applicants with a strong academic or professional background who aim to create positive social impact through technology.

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.

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Scholarships Information

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

Available Scholarships

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

About

Overview

Accreditation

Programme Structure

Audience

Lecturers

Key information

Duration

Start dates & application deadlines

Language

IELTS & PTE Test Preparation

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

IELTS & PTE Test Preparation

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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