Enquire

ASU London. Now home to TEDI-London. Read more here.

Bachelor of Engineering BEng (Hons)

Engineering with

Artificial Intelligence

Apply online for September 2026
Course Name

Engineering with Artificial Intelligence

UCAS Code

TL04

Qualification

Bachelor of Engineering BEng (Hons)

Study Mode

On campus

Course starts

September 2026

Fees

UK and Ireland £9,275 per year International £23,600 per year

Duration

3 years

Why study engineering with artificial intelligence?

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.

Master AI technologies

Learn Machine Learning, Deep Learning, data science, and robotics, merging them with core engineering fundamentals.
ProgrAam Page Background Image

Project based learning

Hands-on projects, real-world case studies, and application of theoretical knowledge to solve complex engineering problems.
ProgrAam Page Background Image

Future proof your career

Learn Machine Learning, Deep Learning, data science, and robotics, merging them with core engineering fundamentals.
ProgrAam Page Background Image

Course structure and

content by year

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

In your first year you’ll build a solid foundation in core engineering principles. As you learn more about AI you’ll be able to apply this learning to analyse engineering problems from a fresh technological perspective.

ASU London’s practical, project-based learning is at the core of the programme’s design, with each module developed through an industry-focused, project-based mindset. This approach ensures that you are not only learning theoretical concepts but also applying them in real-world scenarios.

ASU London is committed to providing support to all students and staff and it recognises that its duty to prevent anyone at risk from being drawn into terrorism is no different to safeguarding individuals or assisting anyone with any other type of welfare need.

In delivering our Prevent Duty we wish to emphasise the use of existing ASU London processes providing welfare, support and advice to students or staff. This is not about identifying ‘extremism’ but identifying general behaviour changes that may indicate individuals require many different types of support

All ASU London Safeguarding (including The Prevent Duty) is overseen by the Head of Governance and Compliance, who reports on a regular basis to senior management and to the ASU London Board. ASU London has ensured that all members of staff are aware of the requirements of The Prevent Duty and training forms part of the induction process for new staff members.

  • We have a risk assessment and an action plan on the duty and this forms part of our regular risk management updates and reporting at ASU London.
  • We have undertaken specific activities relating to IT facilities including a reference to Prevent in our IT Usage Policy. This also sets out the purposes for which we monitor and record the use of our IT facilities. We also have the capacity in place for web filtering and have alerts in place for specific things.
  • We have in place a freedom of speech code of practice which includes procedures for the engagement of external speakers to ensure these do not promote extremist views that risk drawing people into terrorism while balancing our legal duties in terms of ensuring freedom of speech and academic freedom, and also protecting student and staff welfare.
  • All students will have a Personal Tutor, assigned at the start of their programme. All Personal Tutors (& wider staff across ASU London) will be trained in our Safeguarding & Prevent processes which are underpinned by our Student Safeguarding Policy.
  • We have engaged with other partners such as the Department for Education and the local council (Southwark) to share information about vulnerable individuals and local emerging issues.
  • We have arranged for the provision of chaplaincy and pastoral support via King’s College London.
  • Welfare and advice for students will be provided by the ASU London Student Hub. This will also be supported by the King’s College London Student Union.
  • We have a risk assessment and an action plan on the duty and this forms part of our regular risk management updates and reporting at ASU London.
  • We have undertaken specific activities relating to IT facilities including a reference to Prevent in our IT Usage Policy. This also sets out the purposes for which we monitor and record the use of our IT facilities. We also have the capacity in place for web filtering and have alerts in place for specific things.
  • We have in place a freedom of speech code of practice which includes procedures for the engagement of external speakers to ensure these do not promote extremist views that risk drawing people into terrorism while balancing our legal duties in terms of ensuring freedom of speech and academic freedom, and also protecting student and staff welfare.
  • All students will have a Personal Tutor, assigned at the start of their programme. All Personal Tutors (& wider staff across ASU London) will be trained in our Safeguarding & Prevent processes which are underpinned by our Student Safeguarding Policy.
  • We have engaged with other partners such as the Department for Education and the local council (Southwark) to share information about vulnerable individuals and local emerging issues.
  • We have arranged for the provision of chaplaincy and pastoral support via King’s College London.
  • Welfare and advice for students will be provided by the ASU London Student Hub. This will also be supported by the King’s College London Student Union.

All modules are subject to change and availability. If a module changes after you have been made an offer, you’ll be notified before you start your course.

Enquire now
In the second year of study your focus will shift from engineering fundamentals to AI principles and their applications. Explore how AI transforms engineering sectors, and applying knowledge to projects aligned with real-world challenges. You’ll continue to build on the engineering fundamentals and professional skills developed in the first year of study.
If you’re building the future, you need to know how to protect it. You’ll explore cyber incidents and threats, digital defences, and secure system design — all through the lens of modern engineering and AI. You’ll learn how attackers think, what makes systems vulnerable, and how to build security in from the basics. Using professional tools, you’ll investigate real-world threats and secure AI-integrated systems. Through hands-on exercises, simulations, and projects, you’ll analyse attacks and create systems that can stand up to them. Alongside the technical work, you’ll tackle the ethical and legal challenges that come with protecting data and people. It’s about more than just code – it’s about making smart systems safe for the real world.
Understand how engineering systems communicate is crucial to unleashing the power of AI. You’ll dive into the essentials of networking: protocols, architecture, data transmission, and wireless systems. You’ll build and test communication setups that support smart technologies like sensor networks and automated systems. Using appropriate tools, you’ll simulate networks, trace data flow, and troubleshoot real-world issues. You’ll also examine how to secure, scale, and optimise these systems, while tackling the ethical and legal challenges of connected technologies. This is about building the invisible systems that keep intelligent technologies running and making sure they run right.
Ready to turn messy data into smart decisions? Here, you’ll take on the role of a data detective diving into real industrial data to uncover insights, spot patterns, and build intelligent tools that work. You’ll get to grips with cleaning and shaping raw data so it tells a clear visual story. Then you’ll explore machine learning in action — training models, testing outcomes, and figuring out how systems can learn and improve. It’s all about building practical skills through hands-on tasks and real-world case studies. You’ll explore the full spectrum of machine learning, from visualising complex data with tools like heatmaps and correlation plots, to training intelligent algorithms that learn from data, recognise patterns, and predict future behaviour with real-world impact. And it’s not just about the tech — you’ll also tackle the big questions around ethics, sustainability, bias, and data privacy. Just because a system can make an informed decision, doesn’t mean it should. By the end, you’ll be able to take an industrial dataset, turn it into a story, and pitch your findings with clarity and confidence. You’ll also learn from the past using real examples of where AI failed – analysing what went wrong, and how it could’ve been avoided. It’s fast-paced, relevant, and right at the intersection of data, technology, and impact.
Ecological Structures gives you an opportunity to work like a professional engineer, analysing, testing, and pitching solutions to a real-world challenge. You’ll take on the role of a consultancy team, tackling a project brief that pulls together structural analysis, thermodynamics, and environmental impact. Think things like Electric Vehicle (EV) chassis design or modular building systems – the technology that shapes tomorrow’s world. You’ll get hands-on with advanced tools like finite element analysis (FEA) to test how your structure performs under stress and explore how heat flows through your design. Then you’ll dig deep into the sustainability side, using Life Cycle Assessment to weigh up the impact of your materials and choices from start to finish. This isn’t just about getting the maths right — though you’ll do that too. It’s about thinking smart, solving complex problems, and finding ways to make your design adaptable, efficient, effective, and environmentally responsible. Every week you’ll build your skills through focused sessions and use them straight away on your project. It’s collaborative, technical, and built to give you the experience that matters.
This is where your ideas meet action. You’ll immerse yourself in a team project with a real-world brief designing a product, system, or process that solves a genuine challenge. It’s not just about what you build it’s how you plan, research, test, and deliver something that works. You’ll dig into how research fuels innovation. That means learning how to ask the right questions, gather evidence, and build a strong case for your solution. You’ll plan your project, manage change, deal with setbacks, and learn how to keep things moving when everything gets messy, just like in real engineering. Every decision you make will need backing whether it’s technical, ethical, environmental or commercial. You’ll use design thinking, experiment with prototypes, and learn how to turn a great concept into something real. Alongside your team project, you’ll also develop your own proposal for a new idea that could be taken to market. It’s your chance to explore what matters to you and how you’d bring it to life. You’ll come away with experience in research, leadership, business modelling, and creative problem-solving. By the end, you won’t just be talking about innovation, you’ll be driving it.

All modules are subject to change and availability. If a module changes after you have been made an offer, you’ll be notified before you start your course.

Enquire now

In your final year of study, the primary focus will be on advanced AI topics, building on what you have already learned, culminating with a significant individual project. You’ll demonstrate your mastery of AI though investigation and evaluation of a real-world industrial problem. Your final project will tackle a sustainability-focused problem, integrating AI and engineering to create innovative solutions.

Here’s where machines learn to see and you learn how to make it happen. You’ll explore how vision systems power smart tech in engineering, from spotting defects on a production line to guiding autonomous robots through complex environments. You’ll work with smart tools to build your own machine vision system. That means data acquisition, processing images, extracting features, training AI models, and evaluating how well your system performs. Research deep learning techniques and understand how visual data can be turned into reliable decisions. Through hands-on projects and case studies, you’ll design, implement, and refine a solution to a real engineering task. You’ll reflect on the bigger picture: how machine vision affects industry, society, and ethics. This is your chance to build something intelligent, visual, and impactful and to learn what it takes to bring vision to machines.
This is where everything you’ve learned about AI gets put to work. You’ll take on a full data science project from sourcing a dataset to deploying a working model — all built to solve a real engineering challenge. You’ll dive deep into advanced AI tools and techniques, including deep learning, reinforcement learning, and optimisation. You’ll design, train, and test models that aim to make engineering systems smarter, more efficient and productive. It’s hands-on and practical. You’ll build AI models with real impact, tackling complex problems and evaluating how your solution performs, where it falls short, and how it could improve. You’ll also create a ‘model card’ to reflect on the limitations and ethical dimensions of your work, making sure your solutions are not just smart, but responsible too. Along the way, you’ll explore the wider impact of AI on society, the environment, and engineering itself. This is about applying AI with purpose — turning complex data into real-world results.
This is about leading change using cutting-edge tech to rethink how engineering systems work. You’ll learn how to design and deliver digital transformation strategies that actually get results, using tools like AI, big data analytics, cloud platforms, and secure communication systems. You’ll explore what transformation really looks like in the real world. That means working with technologies like IoT, digital twins, and scalable software and figuring out how they come together to boost performance, streamline operations and spark innovation. This experience isn’t just about understanding the tools, it’s about using them strategically. You’ll build a full transformation plan for a specific engineering sector, showing how to integrate AI, manage change, and lead implementation with a focus on impact and ethics. You’ll be thinking critically about how digital solutions should be built and why it all matters not just technically, but socially and professionally too. If you’re ready to lead engineering into the digital age, this is your launchpad.
This is where data becomes power. You’ll learn how to work with massive datasets to solve real engineering problems, processing information at scale, pulling out what matters, and using it to drive smarter decisions. You’ll get hands-on with digital tools using them to build data analytics systems that don’t just handle size, but deliver results. You’ll explore machine learning techniques, distributed computing, and visualisation strategies that turn overwhelming information into clear insight. Working on real-world projects, you’ll collect and process data, build scalable solutions, and integrate AI to optimise engineering systems. You’ll focus on efficiency, sustainability and performance, while also considering the ethical and societal impact of what you’re building.
This is where code meets real-world engineering. You’ll design and build software that doesn’t just run, it solves problems. Whether it’s connecting with AI models, powering smart devices, or supporting industrial systems, you’ll learn how to make it work and make it count. You’ll cover the full development cycle: planning, designing, testing, and deploying software. You’ll explore UI/UX design, APIs, version control, and cloud platforms all while focusing on creating robust, scalable apps built for engineering solutions. You’ll work as part of a development team, tackling a software project from the ground up. That means integrating AI models, debugging your work, and understanding how it works, why it works, and how it could evolve.
This is your chance to take the lead. You’ll design, manage, and deliver a project of your own something rooted in your degree, relevant to industry, and shaped by your interests. You’ll be in charge from start to finish: defining the problem, planning your approach, applying technical skills, and producing a full written report. It’s a deep dive into real engineering work guided by a supervisor, but driven by you. Expect to develop skills in everything from research, planning, development to hands-on technical skills depending on your project. You’ll meet with your supervisor at key checkpoints to review progress, get feedback, and make sure your project stays on track. Culminating with a final report and a viva, where you’ll present your work and defend your decisions. Along the way, you’ll build serious skills in project management, evaluation, communication, and independent problem-solving, all documented in your portfolio. It’s your final-year project and your biggest opportunity to show what you’re capable of.

All modules are subject to change and availability. If a module changes after you have been made an offer, you’ll be notified before you start your course.

Enquire now

Don’t compete with AI,
learn to master it.

Engineering with Artificial Intelligence integrates core engineering fundamentals with the smart use of AI tools. You’ll master the principles of engineering, systems, and sustainability- then harness machine learning, data analysis, and software development to solve problems faster, smarter, and more sustainably. This isn’t about developing AI algorithms – it’s about using AI to supercharge your engineering solutions.
Don't Compete with AI section Image

Working with industry

Collaborating with industry throughout your studies is core to the ASU London experience. The programme is designed to be industry-focused, ensuring that you are not only learning theoretical concepts but also applying them in real-world scenarios.
ASU London emphasises regular industry interaction as part of its project-based learning approach. You’ll engage with industry experts in a professional capacity from the very start of your programme. This includes meeting industry professionals during projects and masterclasses, which allows you to build your professional network and gain insights into various sectors.
Collaborating with industry
Industry
No Maths A-Level? No problem

Entry requirements

The following criteria is intended as a guide to help you gauge if ASU London is for you:
If studying A Levels, IB, BTEC (or any post 16 education) you’ll be on track for approximately 112-120 UCAS points or equivalent
GCSE Maths grade C/4 (or equivalent Level 2 qualification)

For working adult students or others who may not meet these requirements, you may be invited to an online interview

Entry requirements
International entry requirements

Why choose ASU London?

Looking for an accelerated way to earn two powerful degrees and launch your international career? ASU London offers students a
UK-accredited degree enhanced by the globally recognised curriculum of Arizona State University, ranked the #1 most innovative university in the US for 11 consecutive years by U.S. News & World Report, with US master’s degree pathways integrated directly into your programme.

Earn two degrees in four years

Accelerate your future and graduate with both a bachelor's and a master's degree in just 4 years, saving time and expense. And, your pathway to the US is guaranteed if you meet entry requirements.

Double the countries. Double the connections. Double your career opportunities.

Study across both the UK and US and double your career connections and prospects. If you want global opportunities for a career, this is your perfect place to start.

Study like a “professional in training”

With practical, real-world learning and problem-solving to gain valuable professional skills, every ASU London degree is inspired by the university ranked #1 in the US for innovation by U.S. News & World Report for 11 years running.

An innovative degree designed for the future

Earn a degree shaped by innovation, technology, and AI, designed to better prepare you for the careers of today and the future.

Unrivalled international student experience

Study in London. Study in the US. Earn two degrees and double your experience in two of the world’s most exciting places to learn and live.

Say hello to a ready-made employer network

Earn a master’s from Arizona State University and tap into over one million alumni, 650+ global industry partners - including EY, Amazon, Apple, Intel, Microsoft, NVIDIA, Boeing, and Goldman Sachs - plus strong UK collaborations for global career opportunities.

Open day

Join the next ASU London Open Day to learn more about the Engineering with Artificial Intelligence degree programme.
Book your place

TEDI-London now part of ASU London

Founded by ASU Logo
Founded by King College London Logo
Founded by UNSW Logo

TEDI-London was the brainchild of three leading names in engineering education. Arizona State University, King’s College London, and UNSW Sydney were already working together to tackle global problems as part of the PLuS Alliance when they saw the need for more diverse, creative-thinking engineering students. TEDI-London was the answer.

Meet the ASU London

Hear what our current students like about studying at ASU London.

Take the first step toward a brighter future

Find a degree programme

Apply to ASU London

Make your impact

on the world

Apply to join our engineering community in September 2026. You can apply through UCAS or directly.

Enquire now