Enquire now

Artificial Intelligence MSc Online

Transform tech operations across sectors and shape the future of AI globally with this online, industry-leading degree.

Get started

Start Dates: January, May, September

Duration: 1 year full-time, 2 years part-time

Study Mode: Online

Fees: £11,520 (regional discounts available)

About the programme

With rapid tech advances over the last decade AI has become one of the most transformative areas of technology. Shape the future in AI globally and gain in-demand skills with an online Artificial Intelligence MSc Online degree. Led by industry-leading academics, you’ll be able to earn a globally-recognised qualification at Brunel’s top-ranking Computer Science department.

Through cutting-edge modules in machine learning, deep learning, predictive analytics, data visualisation, modern data management and AI ethics as well as industry-led workshops, and dissertation opportunities with industrial collaboration, you’ll be equipped with both the skills and strong professional network to go out and lead in AI, critically and ethically.

How you’ll study

Online learning environment

The MSc Artificial Intelligence is delivered through Brunel’s virtual learning environment, giving you access to course materials, recorded lectures, and interactive resources at any time. You will engage with content through video lectures, discussion forums, and collaborative activities with your global cohort. All learning is asynchronous by default, allowing you to study when it suits you, with scheduled touchpoints for tutor interaction and peer discussion.

Weekly study commitment

Full-time students should expect to dedicate approximately 35-40 hours per week to their studies. Part-time students typically commit around 15-20 hours. Your time is split between directed learning activities, independent study and reading, and assessment preparation. The programme runs across three intakes per year – January, May, and September – with a structured module timetable.

Assessment methods

Assessment is through a balance of coursework and examinations. Depending on the module, you may complete written reports and essays, conceptual and statistical modelling exercises, programming assignments, and in-class tests covering specific technical subjects. The nine-module programme culminates in a dissertation project, where you undertake independent research on an AI topic of your choice. There are no traditional sit-down exams at an exam centre – all assessments are completed online.

Support and feedback

You will have access to dedicated academic tutors and a student support team throughout your programme. Tutors provide structured feedback on assessments, and you can reach out to your support team for guidance on academic, technical, or administrative matters. Brunel’s online students also have access to the university’s library, careers service, and wellbeing resources.

Entry requirements

Academic requirements

To join this programme, you’ll need:

  • A 2:2 (or above) UK Honours degree or; an equivalent internationally recognised qualification in a relevant subject for the programme which you are applying.

Language requirements

Non-native speakers of English need either of the following: 

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

Modules

All learning is delivered online to fit around your work and personal commitments. You’ll complete eight core modules and a final dissertation, combining theory and practice to prepare you for a career as an AI expert.

This module teaches you how to design and implement methods to prepare data using advanced statistical techniques. You’ll then be able to apply these methods to real data to generate insight and design your own data management frameworks. 

This module gives you the opportunity to evaluate data quality, critically compare current statistical analysis methods for data exploration and create your own tailored analysis plans for data preparation, exploration and management. 

How do you turn data into valuable insights? On this module, you’ll learn how to design and implement effective visualisation methods, algorithms and techniques to generate value and insight from data, leaving you ready to critically reflect on current data visualisation methods. 

Bring your knowledge to life through your very own research project. Choose an area of study, formulate research in response to a problem area, using your critical thinking, evaluation and practical skills to shape your research. 

What can we learn about digital information from the way it’s handled? This module identifies what existing research has to say about the governance of digital information. You’ll consider the legal, social and ethical concerns of using digital systems and critically reflect on the implications of adopting digital technologies in the modern working environment. 

This module helps you develop the skills necessary to extract value and insight from diverse data sets using statistical learning. As you explore machine learning techniques and approaches to performance evaluation, you’ll learn how to evaluate not just their ability to deliver accurate predictions but also the value and limitations of prediction.

Master the fundamentals of artificial intelligence. This module explores key AI concepts and methods, teaching you how to apply these methods to define problems and critically evaluate their effectiveness. 

Master deep learning concepts and develop your understanding of their real-world impact. You’ll also explore deep learning architectures and optimisation methods, and apply those methods to real-world problems as you evaluate how effective they are. 

Demonstrate the knowledge and skills you’ve gained on this degree programme through a dissertation. You’ll propose, present and evaluate the solution to a research problem or question within a specific field of study, applying the appropriate research and data collection methods to form a complete report. 
Enquire now

Fees and funding

Tuition fees for the Master of Public Health are £11,520 for the full programme. This covers all teaching, learning materials, assessments,
and access to Brunel’s online resources — there are no hidden costs.

Payment options

Brunel offers a six-month payment plan, allowing you to spread the cost by paying your first instalment at registration and the remaining balance across five equal monthly payments.

Discounts and scholarships

You may be eligible for one or more of the following:

  • Early Payment Discount (2%) — applied automatically when you pay in full before your registration date
  • Alumni Discount (15%) — for Brunel graduates returning for postgraduate study
  • Family Discount (10%) — when a direct family member is also studying at Brunel
  • Academic Excellence Award (15%) — for applicants holding a first-class undergraduate degree

Discounts can be combined where eligible. Visit the full fees and funding section for detailed eligibility criteria.

Student loans

UK residents may be eligible for a Postgraduate Master’s Loan through Student Finance England. The loan is not means-tested and is paid directly to you to use towards tuition fees and living costs. Visit gov.uk/masters-loan for full details and to check your eligibility.

Career outcomes 

A sector with growing demand

Artificial intelligence is reshaping industries from healthcare and finance to engineering and government. Organisations across every sector are investing in AI capability, and the demand for professionals who can design, build, and manage intelligent systems continues to outpace supply. An MSc in Artificial Intelligence positions you at the centre of this transformation.

Roles our graduates pursue

With the technical and analytical skills developed across nine specialist modules, graduates are prepared for roles including:

  • AI specialist – designing and implementing AI solutions across business functions
  • Machine learning engineer – building and deploying machine learning models at scale
  • Data scientist – extracting insights from complex datasets to drive strategic decisions
  • AI researcher – advancing the field through academic or industry-based research
  • Business intelligence lead – translating data into actionable business strategy

Where our graduates work

Brunel AI graduates go on to work with organisations that are leading the adoption of intelligent systems. The programme’s applied focus and technical rigour prepare you for roles in technology firms, consultancies, financial services, healthcare, and the public sector.

Skills employers value

The programme develops six core competency areas that employers actively seek: AI concepts, data-driven decision-making, AI application, digital problem-solving, professional agility, and technical research. Your dissertation project provides a portfolio-ready piece of work that demonstrates your ability to tackle a real-world AI challenge independently.

Why choose this programme

A London university with global standing

Brunel University London is ranked in the top 25% of UK universities, with an established reputation for applied research and industry-connected teaching. Your MSc carries weight with employers worldwide.

Specialist AI curriculum

Nine dedicated modules take you from foundational quantitative analysis through to machine learning, deep learning, and artificial intelligence. The curriculum is designed to develop both theoretical understanding and practical application, preparing you for a sector that is transforming industries globally.

Career-ready skills

Graduates are equipped for high-demand roles including AI specialist, machine learning engineer, data scientist, and business intelligence lead. The programme develops six core competency areas: AI concepts, data-driven decision-making, AI application, digital problem-solving, professional agility, and technical research.

Built for working professionals

Three start dates per year (January, May, September), fully online delivery, and flexible full-time or part-time study options mean you do not have to pause your career to gain an advanced qualification. Study at the pace that works for you.

Rigorous technical assessment

Your learning is assessed through a combination of coursework, programming exercises, statistical modelling, and a substantial dissertation. This technical rigour ensures you graduate with demonstrable, portfolio-ready skills that employers value.

Career-driven outcomes

Your MSc is designed with industry skills and knowledge in mind, providing you with the skills you need to secure your chosen career path. Each module is carefully constructed to elevate your knowledge in key areas of artificial intelligence relevant to industry standards.

Power your future in AI

Global excellence: Join a top-ranking department led by faculty who are recognised among the world’s top 2% of scientists. 

Cutting-edge curriculum: Develop technical and ethical expertise with modules on AI, machine learning, data and ethics.

Industry collaboration: Put skills to practice through projects with industry partners and workshops from AI experts.

Tailored academic support: Get access to mentoring, guidance and employability services from day 1.

Start your degree journey

Gain in-demand skills to lead in AI

AI concepts

Critically evaluate key AI concepts and the alternative methods that currently exist.

Data decision-making

Learn how to turn a critical understanding of data into clear insights for industry innovation.

AI application

Develop an understanding of the skills, tools and techniques needed to effectively apply AI.

Digital problem-solving

Address industry challenges with AI algorithms and techniques and evaluate their effectiveness. 

Professional agility

Develop and demonstrate relevant competencies through projects and collaborations with industry.

Technical research

Conduct, report on and evaluate research related to AI’s problems and challenges. 

Accelerate your career

With strong demand for AI expertise across sectors including tech, healthcare, finance, retail and government, Brunel online graduates can get ready to step into roles like:

  • Machine learning engineer
  • Data scientist
  • Research scientist
  • AI consultant
  • Business intelligence developer
  • Analytics consultant
  • Business analyst

Take the next step

Fill out the form and one of our advisors will be in touch with more information, including our brochure.

Enquire now

FAQs

Yes. The MSc Artificial Intelligence is delivered entirely online, with flexible access to all learning materials around the clock. Whether you study full-time over one year or part-time over two, the programme is structured so you can fit your studies around professional and personal commitments. Most of our students balance their degree with full-time employment.

Yes. You will graduate with the same Brunel University London MSc as students who study on campus. Your degree certificate does not distinguish between online and on-campus delivery. You are a full Brunel student with access to the university's academic resources, library, and support services throughout your studies.

UK residents may be eligible for a Postgraduate Master's Loan through Student Finance England, which can be used towards tuition fees and living costs. The loan is not means-tested. Brunel also offers a six-month payment plan, along with discounts for alumni, early payment, academic excellence, and family members of current students.

You will need a 2:2 UK Honours degree (or international equivalent) in a scientific, engineering, or numerate subject. While a computing background is not required, you should be comfortable with quantitative and analytical thinking. The programme is designed to build your AI expertise progressively from foundational concepts through to advanced deep learning.

You will work with industry-standard tools and programming languages used in artificial intelligence and data science. The programme covers machine learning, deep learning, data visualisation, and statistical analysis through a combination of coursework, programming exercises, and a dissertation project. All required software is accessible through the university's online learning environment.

Get in touch with us today!