Program Overview

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BEng (Hons) Engineering with Artificial Intelligence

Overview

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 TEDI-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.

Qualifications available

• BEng (Hons) Engineering with Artificial Intelligence

Study mode

• On campus

Location

• Canada Water, London, UK

Course duration

• Full-time – 3 years (BEng)

UCAS Code

• TL04

Start dates

• September

Fees

• UK & Ireland, full-time – £9,275 per year
• International, full-time – £24,500 per year

Course content

Year one

• Smart Systems: Get ready to take control (literally) as you explore the world of smart systems. Learn how sensors, actuators, and control systems work together to bring machines and devices to life. Analyse how machines sense, react, and make decisions. Design and simulate control systems, the kind that keep robots balanced, cars on course, and industrial systems running smoothly.
• Simulation: You’ll start by building up your fundamental skills of dynamics, and develop your proficiency in modelling and simulation, along with your programming skills. No need to be an expert - we’ll help you get comfortable using programming tools like MATLAB to create smart, effective solutions. Exploring how motion, forces, and energy interact in physical systems, and how to simulate all of that with code.
• Empowering Engineering: You’ll be solving problems, designing products, and making big decisions as part of a team.
• Engineering Leadership and Impact: Undertaking a design challenge, you’ll demonstrate your leadership and impact in engineering. Working on a real-life global challenge, underpinned by the UN Sustainability Goals, you’ll cover environmental, ethical, commercial, social, governance and cultural aspects of engineering.

Year two

• Cybersecurity: 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.
• Communications Systems: 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.
• Machine Learning: 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.
• Ecological Structures: 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.
• Research and Innovation: 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.

Year three

• Machine Vision: 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.
• Applied Artificial Intelligence: 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.
• Digital Transformation: 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.
• Big Data Analytics: 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.
• App Development: 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.
• Engineering Project: 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.

How will I learn?

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

TEDI-London’s campus at Canada Water in South-East London features purpose-built Makerspaces designed to foster creativity and collaboration. These spaces are equipped with everything needed for hands-on learning, from small prototyping and 3D printing to large-scale equipment. The Makerspaces are integral to the project-based learning approach at TEDI-London, allowing you to develop your ideas and grow your engineering skills.

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.

Assessment method

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.

Working with industry

Collaborating with industry throughout your studies is core to the TEDI-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.

TEDI-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. Many projects will involve working in small teams to deliver solutions to real client partners, managing the project from end-to-end, including research, design ideation, prototyping, and presenting the solution.

This hands-on approach ensures you gain practical experience and develop vital skills like collaboration, communication, project management, and commercial awareness, making you well-prepared for the workplace.

Entry requirements

The following criteria is intended as a guide to help you gauge if TEDI-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)
• You may be invited to an online interview

No Maths A-Level? No problem

We are not saying maths isn’t important to study engineering – it is! However, we don’t see a Maths Level 3 qualification as essential to studying with us and becoming an incredible future engineer. Alongside all the other engineering skills that you’ll develop, we’ll support you throughout your maths journey with us, and it’ll become yet another tool to help you change the world for the better.

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.