MSc Artificial Intelligence

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)

Months of entry

January, May, September

Course content

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

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.

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.

Quantitative Data Analysis: 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.

Modern Data: 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.

Data Visualisation: 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.

Research Project Management: 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

Ethics and Governance of Digital Systems: 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.

Machine Learning: 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.

Artificial Intelligence : 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.

Deep Learning: 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.

Dissertation : 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.

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.


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

Fees and funding