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MSc Artificial Intelligence

Transform tech operations across sectors and shape the future of AI globally with this online, industry-leading degree. Please note this degree is currently subject to approval.

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 MSc Artificial Intelligence 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.

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.

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. 

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. 

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 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. 

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. 

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 apply deep learning to real-world problems? Find out on this module, where you’ll learn to implement analytical methods and algorithms to generate insight from data using statistical learning, and apply these techniques to real-world problem solving. 

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. 

Entry requirements

To join this programme, you’ll need:

  • A 2:2 or above UK Honours degree (or international equivalent) from a scientific, technology, engineering, computing or a numerate subject.

All modules and assessments are delivered in English, so you’ll need to meet our English language requirements. We accept a range of qualifications, including:

  • IELTS: 6.5 overall (minimum 6.0 in all areas)
  • Pearson (PTE): 59 overall (59 in all subscores)
  • BrunELT: 63% overall (minimum 58% in all areas)
  • TOEFL iBT: 90 overall (minimum 20 in each section)
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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

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