Engineering with Artificial Intelligence

ASU London is now home to TEDI-London.

This is where engineering gets real. From day one, you’ll jump into hands-on challenges that feel like actual industry projects - not classroom exercises.

Designed for those interested in the intersection of data science, computing, and engineering, aligning market analysis and government/industrial priorities. You’ll learn a mix of core engineering skills with specialised AI topics such as machine learning, big data analytics and applied AI.

With a strong emphasis on sustainability and social responsibility, you’ll be ready to engineer solutions that address global challenges, acting as trusted agents of public good.

Graduates will benefit from ASU London's project-based learning, collaborating with industry partners to solve real-world problems. With embedded digital and data fluency, our degree aligns with Engineers 2030 principles, ensuring you graduate ready to lead in a rapidly evolving world.

Engineers make a difference to how our world works, and have a profound impact on global challenges such as climate change. A sustainable engineer could use AI to optimise energy consumption, design climate-resilient infrastructure, or improve waste management systems through predictive analytics.

You’ll gain a forward-looking degree that aligns with the principles of Engineers 2030, preparing you to be socially responsible and inclusive engineers.

How will I learn?

ASU London's approach to learning is highly practical and project-based. We focus on practical, project-based learning without traditional lectures.

From 2026, ASU London will be located in the heart of Islington, Central London at the City St George’s Clerkenwell campus. From trendy cafés and live music venues to leafy parks and independent shops, Islington offers the perfect mix of city buzz and community feel. It is one of London’s most vibrant student areas.

The new ASU London campus will combines sustainable design with flexible, modern learning spaces built to inspire innovation. You will have access to plenty of areas for all facets of student life, including places you can use to socialise, study, worship or reflect.

You’ll be treated as a professional in training and will work on real-life challenges co-designed and co-delivered with employers. This hands-on approach ensures that students gain practical experience and industry-ready skills from day one, preparing you for placements and future careers in engineering.

After you graduate

As a graduate from Engineering with Artificial Intelligence, you’ll be well-equipped with a unique blend of core engineering principles and advanced AI skills, making you highly sought after in various industries. Graduates could pursue roles in rapidly evolving sectors such as renewable energy, robotics, healthcare, and smart infrastructure. You’ll have the opportunity to pursue a range of jobs and further study options.

Potential careers available to graduates:

AI Engineer

Data Scientist

Machine Learning Engineer

Robotics Engineer

Systems Engineer

Software Developer

Big Data Analyst

Graduates may choose to further their education by pursuing advanced degrees such as a Master's or PhD in related fields. You can also consider specialised certifications or professional development courses to enhance your expertise in specific areas of AI and engineering.

If global experience and a master's is up your street, head to Arizona State University to study a Master of Science at the Ira A. Fulton Schools of Engineering.

Year 1

-Smart Systems

-Simulation

-Empowering Engineering

-Engineering Leadership and Impact

Year 2

-Cybersecurity

-Communications Systems

-Machine Learning

-Ecological Structures

-Research and Innovation

Year 3

-Machine Vision

-Applied Artificial Intelligence

-Digital Transformation

-Big Data Analytics

-App Development

-Engineering Project

To ensure you are progressing, we use a range of assessments designed to evaluate your practical and theoretical understanding. Our assessment approach is inclusive, appropriate and effective in allowing you to demonstrate success.

Typical assessment methods include a mixture of group project reports, individual reports, pitches, presentations, demonstrations, short videos, and posters. This diverse range of assessment methods ensures that you demonstrate your understanding and skills in multiple ways, catering to different learning styles and preferences, as well as mirroring desirable, professional employability skills.

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

• Course does not award QTS