Course summary

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. 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? 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. 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.