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
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
Entry requirements
Qualification requirements
UCAS Tariff - 104 - 112 points
A level - BCC
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DMM
Access to HE Diploma
International Baccalaureate Diploma Programme
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
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
Provider information
Manchester Metropolitan University
All Saints Building
All Saints
Manchester
M15 6BH