Person in a collared shirt and glasses looking at a tablet, with code reflected in their lenses.

MSc Artificial Intelligence

Become the cutting edge in tech with AI skills backed by a top-ranked university. Please note this degree is currently subject to approval.

Request information

Time investment: 1 year full-time, 2 years part-time

Location: Online

Cost: £11,520

Language: English

About this degree

Person in a black shirt and glasses using a pink laptop while gazing out a window.

See your (AI) career boom

Think about how your phone predicts the quickest route home, how online ads seem to know exactly what you’re looking for, or how smart devices adjust your home environment automatically. That’s AI making life smarter, faster, and more connected.

Whether people like it or not, AI isn’t going anywhere. According to PwC, every industry is increasing AI usage, making skilled AI professionals some of the most sought-after experts in the world.

With this 100% online MSc from Brunel’s top-ranked Computer Science department in London (Times Higher Education World Rankings 2024), you’ll gain the technical depth and practical skills to create intelligent systems that solve real-world problems.

Build tech skills you’ll actually use

From self-driving car simulations to AI-powered health diagnostics, organisations need people who can turn complex data and algorithms into real solutions.

On this MSc, you’ll gain hands-on experience with Python, R, machine learning, deep learning, and data visualisation, using tools and techniques that top employers demand.

You’ll also explore AI ethics and governance, ensuring the systems you build are not just powerful, but responsible.

By the end of the programme, you’ll be ready to design, implement, and evaluate AI solutions across business, scientific, and social domains.

Person typing on a mechanical keyboard in a dimly lit room with blue lighting, surrounded by dual monitors displaying code.

Person with braided hair and glasses working on a laptop in front of large screens filled with code.

Learn from world-leading AI experts

AI talent is in short supply worldwide, and Brunel gives you the connections and credibility to stand out.

Learn from academics ranked among the top 2% globally, collaborate on industry-linked projects, and access a network of AI professionals across multiple sectors.

With fully online, on-demand study materials, you can balance learning with work or life while preparing for careers like machine learning engineer, AI researcher, data scientist, or AI consultant.

By graduation, you’ll be equipped to take a leading role in one of the fastest-growing, most transformative fields today.

Where you’ll be studying

Study at Brunel University of London

Brunel University of London combines academic excellence with real-world relevance.

Designed for ambitious professionals, Brunel’s online programmes offer research-led teaching and global perspectives that prepare you to lead, adapt, and make a lasting impact.

With the flexibility to learn around your life and support from expert tutors, you’ll gain the skills, confidence, and credentials to move your career forward, wherever you are in the world.

Enquire now

Learning outcomes

Crack the AI code

Understand core ideas and critically assess alternative approaches to artificial intelligence.

Turn data into decisions

Transform large-scale datasets into actionable insights for business, science, and society.

Train smarter, not harder

Develop practical skills using AI algorithms, methods, and cutting-edge techniques.

Make AI work for you

Apply algorithms and methods creatively to tackle real-world problems across domains.

Assess, tweak, repeat

Critically evaluate the effectiveness and limitations of AI solutions.

Push the frontier

Develop the professional, technical, and collaborative skills to thrive in AI-focused careers.

Additional information

You’ll need a 2:2 UK Honours degree (or equivalent international qualification) in a scientific, technology, engineering, computing or numerate subject.

Applicants with other qualifications and industrial experience (relevant to the subject area) are welcome to apply through Brunel's non-standard entry route.

If you’re applying as an international student, you’ll need to show proof of English language proficiency. This can take the form of any of the following approved qualifications:

IELTS: 6.5 (min 6 in all areas)
Pearson: 59 (59 in all subscores)
BrunELT: 63% (min 58% in all areas)
TOEFL: 90 (min 20 in all)

All of your learning will be delivered online, making it possible to progress while keeping your 9-to-5 and personal commitments.

You’ll complete 8 compulsory modules, each worth 15 credits, plus a 60-credit dissertation.

Brunel takes a student-centred approach to its curriculum. Your coursework will balance both theory and application, with modules delivered through pre-recorded lectures and tutorials, workshops, practical assignments, and more.

At the end of each online module, you’ll be assessed in potentially one or more of the following ways:

Coursework
Written reports/essays
Programming exercises
Group assignments

Learning online doesn’t mean learning alone. As a Brunel University of London student, you’ll be supported by a dedicated team who’ll guide you from enrolment to graduation.

You’ll have access to one-to-one wellbeing services, mental health and counselling support, disability and dyslexia resources, and career development tools, all delivered online.

You can also use Brunel’s Student Centre for help with admin tasks or immigration support if you’re studying from outside the UK.

Everything is designed to keep you connected, supported, and confident throughout your learning journe

Backed by Brunel’s global reputation, ranked in the top 150 worldwide for Computer Science and recognised internationally for outlook, you’ll graduate ready to take on high-demand roles across industries where AI and machine learning are transforming operations.

Potential career routes include:

Machine Learning Engineering
Data Scientist
Research Scientist
Business Intelligence Developer
Business Analyst
Analytics Consultant

You’ll apply through Brunel’s online application process, which FutureLearn can help direct you to. When you’re ready, you’ll need to provide your academic transcripts, a personal statement, and proof of English language proficiency (if applicable) as part of your application.

The total tuition fee for the Online MSc Management is £11,520. A reduced fee of £6,000 is available to applicants from India and South East Asia.

Brunel’s commitment to accessible online education goes beyond its flexible study options. They also offer a range of scholarships and bursaries, including:

Vice Chancellor’s Postgraduate International Excellence Award 2025/26: Get £6,000 off your tuition if you’re a self-funded international student with a 2:1 or above undergraduate degree. No application required, but the offer is only available for September 2025 and January 2026 intakes.
Postgraduate Academic Excellence Scholarship: If you’re a UK-based learner with a First Class honours degree from a UK or EU University, you may be eligible for a 15% discount. No application required.
Early payment discount: Pay your fees at or before your scheduled registration date, and you could receive up to a 2% discount. No application required.
Brunel graduate discount: If you’re a Brunel alumnus, you’re qualified for a 15% fee discount. No application required.

Find out more about this degree

Enquire now

Modules

Master advanced statistical methods to prepare and analyse data effectively. This module enables you to generate insights from real datasets and develop your own data management and analysis frameworks.

Evaluate data quality and critically compare statistical analysis methods. This module equips you to design bespoke analysis plans for data preparation, exploration, and management while assessing current best practices.

Transform data into meaningful insights and actionable knowledge. You’ll learn to design and implement effective visualisation techniques while critically reflecting on their effectiveness in conveying information.

Apply your knowledge to a real research project of your choosing. You’ll formulate a research question, design a methodology, and use critical thinking to plan and manage your study from start to finish.

Understand the legal, social, and ethical implications of digital information. This module encourages critical reflection on governance practices and the responsible adoption of digital technologies in professional environments.

Develop expertise in deep learning concepts and architectures. You’ll explore optimisation methods, apply deep learning to real-world scenarios, and critically evaluate their impact and effectiveness.

Master the fundamentals of artificial intelligence and its practical applications. This module explores key concepts and methods, equipping you to define problems, apply AI techniques, and critically evaluate their effectiveness.

Explore deep neural networks through architectures such as convolutional, recurrent, generative, and reinforcement models. Learn to apply these methods to real-world problems and evaluate their effectiveness.

Demonstrate the knowledge and skills you’ve developed through a substantial research project. You’ll propose, present, and evaluate solutions to a research problem using appropriate methods to produce a comprehensive dissertation.