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Electronic Engineering and AI at Manchester Metropolitan University - UCAS

Course options

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

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

Entry requirements

Qualification requirements

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.


Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

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
Electronic Engineering and AI at Manchester Metropolitan University - UCAS