Entry requirements

You should have a first or strong second-class Bachelor’s degree or international equivalent.

To apply for this course you should have an undergraduate degree in an appropriate subject, such as engineering (e.g. chemical, civil, mechanical, electronic or electrical engineering) or architecture. We expect your degree to have a strong numerate element and also that you are familiar with programming. We will also consider relevant subjects, such as sciences, if there is a strong numerate element and familiarity with engineering and programming.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

Months of entry

October

Course content

Explore the latest developments in AI and learn how to apply them to solve engineering challenges across industries worldwide.

Artificial intelligence is one of the fastest growing technologies, with many sectors having to adapt quickly. As the integration of artificial intelligence into industries becomes more widespread, so do new opportunities. Engineers with expertise in applying AI methods to improve business productivity, efficiency, and sustainability are in high demand.

We've designed our new master's to meet this demand and help move engineering practice as we know it into the future. You'll study a range of AI-related topics, combining engineering and design with data science, machine learning, and applied artificial intelligence. We teach the professional and transferrable skills to lead on applying new technologies in this rapidly shifting arena. You’ll also explore how AI can help transform society through technological advancements, while considering its wider impact in areas such as ethics.

Working with real-life case studies, you'll learn how to use data and advanced algorithms to solve the complex challenges found in industry. This, along with the creative, problem-solving, and technical skills valued by employers will help prepare you to innovate solutions at a professional level.

Key benefits

Wide-ranging topics: explore artificial intelligence, machine learning, deep learning, big data, the Internet of Things, digital twins, automation, process control, cyber security, and new digital ways of working

Research skills: work with academics in our research centres to complete an individual research project, where you’ll apply your knowledge to a challenge or development opportunity

Sustainability focus: use analytical and problem-solving skills to make creative, ethical, and responsible sustainable decisions with the support of AI

Optional 12-month placement: get professional experience as part of your degree and improve your career prospects

A multidisciplinary learning experience
Our course draws on expertise spanning all four departments in our Faculty of Engineering & Design so you'll get a broad view of how AI can be applied across a range of fields. You’ll learn from academics at the forefront of research and teaching in architecture, and chemical, civil, electronic, electrical, and mechanical engineering.

Use specialist facilities
You'll have access to a range of facilities, equipment and digital tools to support you through your studies. These include labs for high-performance computing for AI, robotics and automation, and design and manufacturing. You'll also use specialist software and have access to the Institute for Advanced Automotive Propulsion Systems (IAAPS) opensource database.

Start your future here
Your career it is at the forefront of our minds when we develop new courses. So we work with our industry partners to identify what expertise and skills they want from our graduates and make sure we embed these throughout your degree. We also have a dedicated postgraduate employability team in our Faculty to support you with CV writing, placements, interview preparation and skills, job seeking, and career development.

We aim to prepare you to start a career in industry, research, or academia when you graduate. You could go on to work in large or small industrial settings, making an impact using data to innovate new levels of efficiency. Or, you could progress to further research and complete a PhD with us or another institution.

Placement

You’ll spend up to 12 months on placement after the end of your first year. This allows you to apply your engineering knowledge to the workplace and build on industry-relevant skills through first-hand professional experience. You’ll increase your understanding of how the industry sector runs, and how you could meet the skills demand now and in the future. It’s also a great opportunity to develop a network of industry professionals that could help you in your future career.

We have extensive links with engineering and design companies offering placements both in the UK and further afield. We will do our best to help you find a placement and support and guide you through the process. Our Faculty's PGT employability team organises and delivers employability workshops to guide you through the whole placement process from CV writing and interview techniques to prepare you for applying. We cannot guarantee you a placement position so if you are unable to secure a placement, you'll transfer on to our 12-month alternative course.

Information for international students

English language requirements IELTS: 6.5 overall with no less than 6.0 in all components The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element TOEFL IBT: 90 overall with a minimum 21 in all 4 components You will need to get your English language qualification within 24 months prior to starting your course.