Necessary cookies help make a website usable by enabling basic functions like page navigation and access to secure areas of the website. The website cannot function properly without these cookies.

360.ambientlight.co.uk

SERVERIDThis cookie is used to assign the visitor to a specific server - this function is necessary for the functionality of the website.

Maximum Storage Duration: SessionType: HTTP Cookie

Cookiebot

1Learn more about this provider

CookieConsentStores the user's cookie consent state for the current domain

Maximum Storage Duration: 1 yearType: HTTP Cookie

2Learn more about this provider

Some of the data collected by this provider is for the purposes of personalization and measuring advertising effectiveness. The provider may use the IP Addresses for ads measurement and ads personalization.

test_cookieUsed to check if the user's browser supports cookies.

Maximum Storage Duration: 1 dayType: HTTP Cookie

_GRECAPTCHAThis cookie is used to distinguish between humans and bots. This is beneficial for the website, in order to make valid reports on the use of their website.

Maximum Storage Duration: 180 daysType: HTTP Cookie

5Learn more about this provider

cookietestThis cookie is used to determine if the visitor has accepted the cookie consent box.

rc::aThis cookie is used to distinguish between humans and bots. This is beneficial for the website, in order to make valid reports on the use of their website.

Maximum Storage Duration: PersistentType: HTML Local Storage

rc::bThis cookie is used to distinguish between humans and bots.

Maximum Storage Duration: SessionType: HTML Local Storage

rc::cThis cookie is used to distinguish between humans and bots.

rc::fThis cookie is used to distinguish between humans and bots.

LinkedIn

bcookieUsed in order to detect spam and improve the website's security.

li_gcStores the user's cookie consent state for the current domain

Microsoft

6Learn more about this provider

AADSSOThis cookie is necessary for the login function on the website.

buidThis cookie is necessary for the login function on the website.

Maximum Storage Duration: 30 daysType: HTTP Cookie

esctxThis cookie is necessary for the login function on the website.

SSOCOOKIEPULLEDThis cookie is necessary for the login function on the website.

stsservicecookieUsed in connection with the synchronisation between the website and third-party Data Management Platform. The cookie serves to monitor this process for security reasons.

x-ms-gateway-sliceUsed in connection with the synchronisation between the website and third-party Data Management Platform. The cookie serves to monitor this process for security reasons.

asu-london.ac.uk

__EC_TEST__Used to remember if the user is accessing the website on a computer or mobile device.

wpEmojiSettingsSupportsThis cookie is part of a bundle of cookies which serve the purpose of content delivery and presentation. The cookies keep the correct state of font, blog/picture sliders, color themes and other website settings.

hsadspixel.net

hs-banner.com

hubspotusercontent-eu1.net

linkedin.com

twitter.com

wpenginepowered.com

__cf_bm [x16]This cookie is used to distinguish between humans and bots. This is beneficial for the website, in order to make valid reports on the use of their website.

cloud.microsoft

sway.office.com

AADNonce [x2]Used to implement Microsoft-forms on the website.

Preferences 3

Preference cookies enable a website to remember information that changes the way the website behaves or looks, like your preferred language or the region that you are in.

lidcRegisters which server-cluster is serving the visitor. This is used in context with load balancing, in order to optimize user experience.

sway.cloud.microsoft

AuthSess [x2]This cookie allows visitors to leave comments on their use of the website.

Statistics 12

Statistic cookies help website owners to understand how visitors interact with websites by collecting and reporting information anonymously.

_ga [x2]Used to send data to Google Analytics about the visitor's device and behavior. Tracks the visitor across devices and marketing channels.

Maximum Storage Duration: 2 yearsType: HTTP Cookie

_ga_# [x2]Used to send data to Google Analytics about the visitor's device and behavior. Tracks the visitor across devices and marketing channels.

_gatUsed to send data to Google Analytics about the visitor's device and behavior. Tracks the visitor across devices and marketing channels.

4Learn more about this provider

__hsscIdentifies if the cookie data needs to be updated in the visitor's browser.

__hssrcUsed to recognise the visitor's browser upon reentry on the website.

__hstcSets a unique ID for the session. This allows the website to obtain data on visitor behaviour for statistical purposes.

hubspotutkSets a unique ID for the session. This allows the website to obtain data on visitor behaviour for statistical purposes.

fpcRegisters a unique ID that is used to generate statistical data on how the visitor uses the website.

sc-static.net

u_scsidRegisters data on visitors' website-behaviour. This is used for internal analysis and website optimization.

X-ABThis cookie is used by the website’s operator in context with multi-variate testing. This is a tool used to combine or change content on the website. This allows the website to find the best variation/edition of the site.

Marketing 38

Marketing cookies are used to track visitors across websites. The intention is to display ads that are relevant and engaging for the individual user and thereby more valuable for publishers and third party advertisers.

Meta Platforms, Inc.

_fbp [x2]Used by Facebook to deliver a series of advertisement products such as real time bidding from third party advertisers.

Maximum Storage Duration: 3 monthsType: HTTP Cookie

lastExternalReferrerDetects how the user reached the website by registering their last URL-address.

lastExternalReferrerTimeDetects how the user reached the website by registering their last URL-address.

8Learn more about this provider

_gcl_au [x2]Used to measure the efficiency of the website’s advertisement efforts, by collecting data on the conversion rate of the website’s ads across multiple websites.

_gidUsed to send data to Google Analytics about the visitor's device and behavior. Tracks the visitor across devices and marketing channels.

IDEUsed by Google DoubleClick to register and report the website user's actions after viewing or clicking one of the advertiser's ads with the purpose of measuring the efficacy of an ad and to present targeted ads to the user.

Maximum Storage Duration: 400 daysType: HTTP Cookie

pagead/1p-conversion/#/Tracks the conversion rate between the user and the advertisement banners on the website - This serves to optimise the relevance of the advertisements on the website.

Maximum Storage Duration: SessionType: Pixel Tracker

pagead/1p-user-list/#Tracks if the user has shown interest in specific products or events across multiple websites and detects how the user navigates between sites. This is used for measurement of advertisement efforts and facilitates payment of referral-fees between websites.

ccm/conversion/17843206364/Pending

_gcl_lsTracks the conversion rate between the user and the advertisement banners on the website - This serves to optimise the relevance of the advertisements on the website.

__ptq.gifSends data to the marketing platform Hubspot about the visitor's device and behaviour. Tracks the visitor across devices and marketing channels.

_rdt_uuid [x2]Used to track visitors on multiple websites, in order to present relevant advertisement based on the visitor's preferences.

Snap Inc.

sc_atUsed by Snapchat to implement advertisement content on the website - The cookie detects the efficiency of the ads and collects visitor data for further visitor segmentation.

pUsed to track visitors on multiple websites, in order to present relevant advertisement based on the visitor's preferences.

12Learn more about this provider

__Secure-BUCKETPending

__Secure-ROLLOUT_TOKENUsed to track user’s interaction with embedded content.

__Secure-YECStores the user's video player preferences using embedded YouTube video

__Secure-YNIDUsed to track user’s interaction with embedded content.

LAST_RESULT_ENTRY_KEYUsed to track user’s interaction with embedded content.

LogsDatabaseV2:V#||LogsRequestsStoreUsed to track user’s interaction with embedded content.

Maximum Storage Duration: PersistentType: IndexedDB

ServiceWorkerLogsDatabase#SWHealthLogNecessary for the implementation and functionality of YouTube video-content on the website.

TESTCOOKIESENABLEDUsed to track user’s interaction with embedded content.

VISITOR_INFO1_LIVETries to estimate the users' bandwidth on pages with integrated YouTube videos.

YSCRegisters a unique ID to keep statistics of what videos from YouTube the user has seen.

yt-icons-last-purgedNecessary for the implementation and functionality of YouTube video-content on the website.

YtIdbMeta#databasesUsed to track user’s interaction with embedded content.

cpg.netnatives.com

ceeRegisters a unique ID that identifies the user's device during return visits. Used for conversion tracking and to measure the efficacy of online ads.

_schn1Sets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.

_schn2Sets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.

_scidSets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.

Maximum Storage Duration: 13 monthsType: HTTP Cookie

_scid_rSets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.

_screloadUsed by Snapchat to implement advertisement content on the website - The cookie detects the efficiency of the ads and collects visitor data for further visitor segmentation.

u_sclidSets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.

u_sclid_rSets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.

u_scsid_rSets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.

Unclassified 13

Unclassified cookies are cookies that we are in the process of classifying, together with the providers of individual cookies.

hubspot-modern-themePending

esctx-#Pending

_rdt_cfgPending

Twitter Inc.

i/jot/embedsPending

eus-cdn.sway.static.microsoft

CalloutShownCountPending

CDNFailureCountPending

pixel.byspotify.com

__spdtPending

pagerequestoperationPending

pagerequesttargetPending

pagerequesttimePending

anonuserid [x2]Pending

Cross-domain consent[#BULK_CONSENT_DOMAINS_COUNT#]

[#BULK_CONSENT_TITLE#]

List of domains your consent applies to: [#BULK_CONSENT_DOMAINS#]

Cookie declaration last updated on 2026/10/4 by Cookiebot

[#IABV2_TITLE#][#IABV2_BODY_INTRO#]

[#IABV2_BODY_LEGITIMATE_INTEREST_INTRO#]

[#IABV2_BODY_PREFERENCE_INTRO#]

[#IABV2_LABEL_PURPOSES#]

[#IABV2_BODY_PURPOSES_INTRO#]

[#IABV2_BODY_PURPOSES#]

[#IABV2_LABEL_FEATURES#]

[#IABV2_BODY_FEATURES_INTRO#]

[#IABV2_BODY_FEATURES#]

[#IABV2_LABEL_PARTNERS#]

[#IABV2_BODY_PARTNERS_INTRO#]

[#IABV2_BODY_PARTNERS#]

Cookies are small text files that can be used by websites to make a user's experience more efficient.

The law states that we can store cookies on your device if they are strictly necessary for the operation of this site. For all other types of cookies we need your permission.

This site uses different types of cookies. Some cookies are placed by third party services that appear on our pages.

You can at any time change or withdraw your consent from the Cookie Declaration on our website.

Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy.

Please state your consent ID and date when you contact us regarding your consent.

Do not sell or share my personal information

Allow allCustomize

Allow selectionDeny

Discover our new Mechanical Design Engineering degree

Bachelor of Engineering BEng (Hons)

Engineering with

Artificial Intelligence

Apply online for September 2027

Course Name

Engineering with Artificial Intelligence

UCAS Code

Qualification

Study Mode

On campus

Course starts

September 2027

Home fee (UK and Ireland)

Duration

International fee

per year

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.

Enquire now

Master AI technologies

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

Project based learning

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

Future proof your career

Modules shown are those currently planned for the course and may change where necessary. We’ll let you know about any material changes that affect you before you enrol or, if you’re already studying with us, before the change takes effect.

Year One

Year Two

Year Three

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.

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.

Using industry software such as MATLAB/Simulink and microcontroller platform (e.g. Arduino), you’ll build simulations, analyse system responses, and design control strategies. Through structured coding exercises and practical workshops, you’ll get comfortable working with feedback systems, transfer functions, and system stability.

By the end, you’ll be able to model dynamic systems, design and test controllers, and understand the role of sensors and actuators in smart, automated solutions. It’s a practical, project-based experience built around real tools and real challenges.

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.

You’ll work in a team to take on a real-life engineering scenario. Together, you’ll design, build, and present a working simulation, explaining your approach and showing off the code behind it.

By the end, you’ll be able to think like an engineer, build digital models of physical systems, and make decisions based on real life data. You won’t just understand the theory, you’ll put it into action. It’s hands-on, fast-moving, and focused on the kind of skills you’ll use in your future career.

Empowering Engineering

You’ll be solving problems, designing products, and making big decisions as part of a team.

You’ll dig into the fundamentals of solid mechanics, materials science, and manufacturing but you won’t just study them. You’ll use them. You’ll choose materials, model your design with Computer Aided Design (CAD) software, run stress tests, and figure out how to make it – all while thinking about quality, cost, flexibility, safety, ethics, and sustainability.

Along the way, you’ll build serious skills in CAD, stress analysis, and design thinking. Get better at presenting ideas, working with others, and backing up your decisions with solid reasoning. Expect to be challenged, to inspire others, supported, and maybe even surprised by what you can create, break or make.

It’s fast-paced, practical, and packed with the kind of experience that makes you stand out. This is engineering the way it should be, hands-on, real-world, and all about bringing your ideas to life.

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.

Reflecting on your strengths and contributions, you’ll develop your teamwork, research, communication and problem-solving skills. These key skills are important for developing your professionalism as an engineer.

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.

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.

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.

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.

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.

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.

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.

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.

Design for Structures

Understand and apply the principles and applications of structural, mechanical, and civil engineering for the design of modern structures. You’ll explore the essential principles of structural engineering and examine their role in the analysis and development of a wide variety of engineering structures across civil, mechanical, and industrial contexts.

You’ll work on real world engineering structures, considering not just the engineering loading but the sustainability, health and safety, quality codes and regulations you must follow to optimise your design.

Ecological Design

Appraise and apply ecologically responsible design principles to minimise the environmental impact of your ideas. Working on an eco-design product, process or construction, you’ll assess ecological considerations, whilst applying mathematical, scientific and engineering principles and modelling. Using an ecological approach to design, you’ll consider energy and carbon, the circular economy and materials, climate resilience, biodiversity and water as well as related aspects of well-being. Collaborating in teams, you’ll evaluate the relationship between design, cost and the ethical and legal requirements in the design of buildings. Advancing your knowledge of the underlying engineering principles.

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. 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Working with industry

Industry is embedded throughout the ASU London experience, helping you connect your learning with the world of work. 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

Entry requirements

Our entry requirements are designed to open pathways to higher education for students with a wide range of experiences, qualifications and backgrounds. Like Arizona State University, we measure our success not by whom we exclude, but by whom we include – and how well they thrive.

The criteria below are provided as a guide to help you determine whether ASU London is the right fit for you:

If studying A Levels, IB, BTEC, T Level (or any post 16 education) you’ll be on track for approximately 112 – 120 UCAS points (BBC- BBB) 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

International entry requirements

International students

You can view our full list of country specific entry requirements on our Entry requirements page.

English language requirements: English level can only be demonstrated through an IELTS Academic for UKVI minimum score of 6.0 (with no less than 5.5 in all skills).

Visas: For more information on student visas and work rights, please visit our student visa page.

Scholarships: Learn more about funding opportunities here.

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 12 consecutive years by U.S. News & World Report, with US master’s degree pathways integrated directly into your programme. The master’s degree is developed by Arizona State University’s highly-ranked Ira A. Fulton Schools of Engineering.

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 12 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.

Join an event

Join the next ASU London event to learn more about the Engineering with Artificial Intelligence degree programme.

Book your place

Meet the ASU London students

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

TEDI-London now part of ASU London

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.

Make your impact

on the world

Apply to join our engineering community in September 2027.

You can apply through UCAS or directly.

Get in touch

For more information about this programme, contact us today by filling out the form below.

Student data from DiscoverUni

Engineering with Artificial Intelligence BEng (Hons)

More about us

Our Campus

Projects in the spotlight

Scholarships

ASU London is the trading name of ASU London Centre for Advanced Learning, an accredited UK degree awarding higher education provider, registered with the Office for Students. UKPRN: 10083403. Registered Address: ASU London, Franklin Building, 124 Goswell Road, London, EC1V 7DP

Instagram

Facebook

Privacy Notice

Governance

Policies

Our degrees

Study with us

Contact ASU London

About ASU London

Copyright © 2026 ASU London

About Us

Our Degrees

TEDI-London

Report a concern

院校未公布 DSE 對應等級，請向院校確認。

請查看下方完整入學要求原文，或向院校確認。

成績符合不等於錄取；資料取自院校官方公開頁，取得日期見各課；最終以院校為準。

報告這課資料錯誤