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Electronic Engineering and AI

BEng (Hon) · 3 Years · Full-time · 28/09/2026 · UndergraduateMain Site

Course summary

The artificial intelligence (AI) revolution is reshaping every aspect of modern human life. Our BEng (Hons) Electronic Engineering and AI degree will help you develop the skills to design intelligent systems, solve real problems, and create innovations that impact industries from healthcare and finance to robotics and technology.

From your first year, you’ll develop practical skills in coding, computational thinking and system design. As you progress, you’ll explore more advanced topics such as machine learning, neural networks and intelligent algorithms, with a focus on how these can be embedded into hardware to create innovative, real-world applications.

You’ll gain hands-on experience through laboratory work, design projects and opportunities to engage with research and industry. There’s also the option to study abroad or take a placement year, helping you build the skills, confidence and global outlook to succeed in a rapidly changing technological landscape.

When you finish, you’ll have a unique mix of engineering expertise and AI knowledge that employers are actively seeking – preparing you to make an impact in the future of intelligent systems.

Features and Benefits

  • Professional study environment. Study in our £115m Dalton building, designed for collaboration, innovation and world-class learning and research.

  • Taught by leading researchers. 100% of our research impact in Engineering is world-leading or internationally excellent — and 75% is at the highest 4* level (REF 2021).

  • Gain interdisciplinary expertise. Develop the skills to build the hardware and intelligence behind tomorrow’s innovations with a degree that unites electronic engineering and artificial intelligence.

  • Graduate ready for the future. Build expertise in the exciting and fast-growing field of artificial intelligence and stand out to employers seeking future-focused talent.

  • Study in a city of science. Manchester leads the UK in AI innovation with a thriving engineering hub at its core – the perfect place to study electronic systems and intelligent technologies.

  • Strong industry links. Benefit from access to Siemens-supported labs and Autodesk tools, providing a strong professional foundation that employers are looking for.

How to apply

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
AEE1
Institution code:
M40
Campus name:
Main Site
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Open days

Entry requirements

Qualification requirements

UCAS Tariff - 104 - 112 points

A level - BCC

To include minimum A level grade D in Mathematics or Further Mathematics,

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DMM

Pearson BTEC Level 3 National Extended Diploma (1080) in Engineering with grade Merit or above

Access to HE Diploma

Pass Access to HE Diploma in Engineering or Science with a minimum score of 106 UCAS Tariff points

International Baccalaureate Diploma Programme

To include HL Mathematics, Engineering or Technology subject AND HL 4 or SL 5 in English and Mathematics

GCSE grade C/4 or above in English Language and Mathematics

Pass in Level 2 Functional Skills English and Mathematics will be accepted

The level 2 requirements may also be met through the level 3 course requirements for the course; please contact the University directly if you require further information.

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

At Manchester Met, our mission is to recruit ambitious students from all backgrounds and to inspire and support them to achieve their potential. Where applicants with WP flags receive an offer but don’t quite meet conditions, we may be able to look again at these applications. Where we are unable to offer a place on a chosen course, we may seek to make an alternative offer. For further information please click the link below.

Learn more on the Manchester Metropolitan University website

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

https://www.mmu.ac.uk/study/undergraduate/course/beng-electronic-engineering-and-ai/september-2026#fees

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