Applying from India? Apply by 30 May 2026 (Round 2) to be considered for scholarships.   Apply

Bachelor of Science BSc (Hons) in

Bachelor of Science BSc (Hons) in

Computer Science

Computer Science

Computer Science

Study Computer Science, AI, Machine Learning, Big Data, Cybersecurity and more in the UK at ASU London, founded by Arizona State University, ranked #1 in the U.S. for innovation, ahead of MIT and Stanford (U.S. News & World Report, 2016-2026).

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Learn Computer Science.

In London.

Chitkara University

Punjab, India

ASU London

London, UK

Programme overview

Programme overview

Programme overview

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Qualification

Bachelor of Science BSc (Hons)

Intake

September 2026

Student Support On:

Visa · Housing · Scholarships · Loans

Duration

3 years (the UK standard)

Location

London, UK

Fees

International, full-time: £23,600 per year

Early applicants from India will be considered for scholarships

Round 2 application deadline: 30 May 2026

Apply

Financial Support: Education Loans Covering Up to 100% of Tuition and Living Costs

Applicants from India may be able to access education loans from third-party financial institutions that can cover up to 100% of tuition fees and living costs for studying in the UK. ASU London provides clear guidance on how these loans work, which institutions offer them, and what documents you may need. This support is designed to help you understand your options and plan your finances with confidence.

To understand your education loan options and the steps to apply, we encourage you to speak with an admissions adviser.

Learn more

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100% of Tuition and Living Costs

About ASU

Founded by one of the world’s best,
Arizona State University

Founded by one of the world’s best,
Arizona State University

Founded by one of the world’s best,
Arizona State University

Arizona State University graduates in maroon caps and gowns at commencement

ASU London is founded by Arizona State University, the #1 public university chosen by international students among public universities — Institute of International Education, 2021-25.

Arizona State University
#1 in the U.S. for innovation
Top 1% of international universities
#1 in the U.S. and top 10 worldwide for global impact
#2 in the U.S. for employability among public universities

800+

degree programmes

14,980+

international students from more than 160 countries

181,000+

degree seeking students enrolled in 2025/24

615,000+

alumni

Curriculum

Curriculum

Curriculum

You’ll progress through a curriculum designed to build knowledge, skills, and practical understanding.

01

Year One

01

Year One

02

Year Two

02

Year Two

03

Year Three

03

Year Three

In your first year, you’ll explore both the technical and professional sides of computer science. You’ll take on an industry-style design challenge while learning about teamwork, project management, ethics, sustainability, and EDI.

You’ll also build a solid foundation in algorithms, computational theory, and software systems, develop coding skills with object-oriented programming and core data structures, and explore how hardware and software connect through sensors, actuators, and feedback.

St Paul's Cathedral seen from the Millennium Bridge

01

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.

02

Computer Science Fundamentals

You’ll dive into the world of computer science, breaking problems down, designing smart algorithms, and representing data in clever ways. You’ll explore how computers actually ‘think’, experiment with real-world challenges like scheduling tasks or keeping data secure and use tools like Python and GitHub to bring your ideas to life. Along the way, you’ll also look at the big picture, how computing shapes society, the environment, and everyday life. By the end, you won’t just understand how digital systems work, you’ll be ready to start building them yourself. It’s hands-on, creative, and gives you the foundations to tackle everything from coding to ethical tech design.

03

Object Oriented Programming and Data Structures

Here, you’ll level up your programming skills by learning to think and code like a professional software developer. You’ll get hands-on with object-oriented programming (OOP), building software using classes, objects, and smart design patterns that make your code clean, efficient, and reusable. Through coding labs, workshops, and projects, you’ll take on real-world challenges, sharpen your debugging skills, and create your own portfolio of programming work. You’ll also explore how coding choices impact people and the planet, from the energy your algorithms use to how inclusive your designs are. By the end, you’ll have the skills and confidence to create software that’s not only powerful but also responsible and future-focused.

04

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.

Year One

01/04

Smart Systems

Filled automatically from the selected module in the list.

Next

Computer Science Fundamentals

In your second year, you’ll sharpen your research and technical skills. You’ll learn how to design studies, evaluate technologies, and present findings professionally. You’ll also explore machine learning, software engineering practices, databases, operating systems, and computer networks, alongside key concepts in cybersecurity.

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01

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.

02

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.

03

Software Engineering

Introducing you to the principles, and tools of software engineering, focusing on the systematic development of reliable, maintainable, and efficient software systems. Building on your programming skills, you’ll learn how to apply engineering discipline to the design, construction, testing, and management of software projects. Key topics include software development lifecycles, agile and iterative methodologies, requirements engineering, software architecture and design patterns, testing frameworks, version control, and documentation. Explore professional practice in collaborative development, emphasising teamwork, communication, and quality assurance. You’ll also integrate ethical and sustainability considerations, such as designing software for accessibility, evaluating environmental impacts of development processes, and ensure inclusivity in team-based practices.

04

Databases

Providing you with the theoretical and practical knowledge required to design, implement, and manage databases. Learn relational database principles, SQL (Structured Query Language), and data modelling techniques including entity–relationship diagrams and schema normalisation. In addition to relational models, you’ll be introduced to NoSQL paradigms to understand their role in modern applications such as cloud services, social media, and big data systems. Develop competence in evaluating the trade-offs between data consistency, availability, scalability, and performance. We emphasise responsible practice in data management, covering legal, ethical, and sustainability issues such as GDPR compliance, data privacy, data lifecycle management, and energy efficiency in large-scale data infrastructures.

05

Operating Systems

Introducing you to the design, structure, and operation of modern operating systems (OS), providing the knowhow to understand how computing resources are managed efficiently and securely. Study core OS concepts including process management, scheduling, memory management, file systems, concurrency, and input/output handling. Practical experience is gained by experimenting with OS components, shell scripting, and simulation tools. You’ll also engage with security and sustainability aspects of operating systems, including access control, energy efficiency in resource scheduling, and the ethical implications of operating system design.

06

Networks and Cybersecurity

Discover how computers talk to each other and how to keep that communication safe. You’ll learn what really happens when data moves across the internet, from IP addresses and routing to how information is protected with encryption and authentication. You’ll get hands-on experience setting up small networks, analysing data packets, and testing for security vulnerabilities, all in a safe, supervised lab environment. Along the way, you’ll dive into real-world issues like privacy laws, ethical hacking, and the environmental impact of digital infrastructure. By the end, you’ll know how networks work, how to secure them, and why responsible cybersecurity matters in today’s connected world.

Year Two

01/06

Research and Innovation

Filled automatically from the selected module in the list.

Next

Machine Learning

In your final year for your bachelor’s degree, you’ll focus on advanced topics and independent work. You’ll carry out a major individual project, applying advanced analysis and professional reporting, while also studying applied artificial intelligence. You’ll then choose a specialist pathway: Software Development | Cybersecurity | Big Data.

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Core Modules

01

Engineering Individual Project

Integrate all your knowledge from your previous learning to complete a major individual project. You’ll be expected to use an analytical and methodological approach involving elements such as project planning, designing, implementation, testing, quality assurance and evaluation and you’ll present your findings in a formal setting. Your project will be a significant piece of work, possibly related to the UN Sustainable Development Goals, smart cities, big data or informed by an industry need.

02

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.

Software Development Pathway

01

Software Quality Assurance and Testing

Take your software skills to the next level as you learn how to build, test, and maintain reliable, high-quality systems. You’ll uncover how professional developers ensure their code works perfectly, from designing smart automated tests to using frameworks and CI/CD tools that keep software running smoothly. Explore everything from unit and regression testing to test-driven and behaviour-driven development, gaining a full picture of what quality really means in software. Alongside the tech, you’ll think critically about ethics, inclusivity, and sustainability, because great software isn’t just functional, it’s responsible. By the end, you’ll know how to deliver code that’s efficient, ethical, and built to last.

02

Distributed Software Development

Step into the world of large-scale, connected software and learn how the systems behind your favourite apps actually run. You’ll get hands-on with modern distributed architectures like microservices and event-driven systems, exploring how to design interfaces, manage APIs, and deploy containerised services to the cloud. Along the way, you’ll tackle real engineering challenges, keeping systems fast, reliable, secure, and scalable, while using industry practices like DevOps, CI/CD, and Site Reliability Engineering (SRE). You’ll also look at the wider impact of these systems, from data privacy and energy use to how global teams build and maintain inclusive, sustainable technology. By the end, you’ll know how to design and operate complex systems that perform brilliantly in the real world.

03

Software Integration

Connect the dots between complex systems and make software work together seamlessly. Discover how modern organisations link up different apps, services, and data sources, diving into integration patterns, middleware tools, and API management. Through hands-on projects, you’ll design and build integration solutions using technologies like REST, GraphQL, and message queues, learning how to balance performance, security, and reliability along the way. You’ll also think critically about the bigger picture, from protecting sensitive data to reducing the environmental impact of data-heavy systems. By the end, you’ll know how to design and manage powerful integrations that keep diverse systems running smoothly and responsibly.

04

Software Exploitation

Develop your software security skills and learn how vulnerabilities really work and how to stop them. Explore the most common weaknesses hackers exploit, like buffer overflows, injection attacks, and privilege escalation, while safely practising real techniques in a controlled lab environment. Alongside hands-on testing, you’ll learn how to write secure code, use analysis tools, and follow professional penetration testing and disclosure practices. You’ll also dive into the ethics and laws that shape cybersecurity, thinking about the real-world impacts of insecure systems on people, businesses, and the planet. By the end, you’ll know how to spot and fix vulnerabilities responsibly, turning potential exploits into stronger, safer software.

05

Mobile Application Development

Design and build the apps that live in everyone’s pocket. You’ll understand how mobile applications work behind the scenes, from Android and iOS architecture to cross-platform frameworks and responsive UI/UX design. Through hands-on projects, you’ll create apps that connect to sensors, APIs, and cloud services while tackling real challenges like battery life, storage limits, and network issues. You’ll also explore what it means to design apps responsibly, thinking about accessibility, data privacy, and the environmental footprint of mobile tech. By the end, you’ll have the skills to build mobile apps that are not just fast and functional, but secure, sustainable, and ready for the real world.

Cybersecurity Pathway

01

Advanced Computer Networks Security

Step into the front lines of network security and learn how to protect complex systems from modern threats. You’ll explore how to secure enterprise, cloud, and critical infrastructure networks, diving into cryptographic protocols, firewalls, VPNs, intrusion detection, and zero-trust architectures. Through practical exercises, you’ll evaluate risks, implement defences, and use professional tools to monitor and protect networks at scale. You’ll also consider the wider impact of security, from ethical monitoring and legal compliance to energy use and inclusive access. By the end, you’ll be ready to design and manage robust, responsible security strategies for high-stakes networks.

02

Security Operations

In the fast-paced world of cybersecurity operations learn how organisations defend themselves around the clock. You’ll explore how Security Operations Centres (SOCs) work, diving into log management, SIEM tools, threat intelligence, incident response, and even red/blue team exercises. Through hands-on practice, you’ll monitor, detect, and respond to cyber threats while learning the workflows and frameworks that keep networks safe. You’ll also tackle the bigger picture, balancing privacy, ethics, and sustainability, while understanding the human and organisational challenges of running a SOC. By the end, you’ll have the skills and insight to handle cyber incidents responsibly and effectively in a professional setting.

03

Forensics Computing

Equipping you with advanced knowledge and practical skills in digital forensics, focusing on the investigation, analysis, and presentation of evidence from digital systems. Explore forensic principles, methodologies, and tools used to acquire, preserve, and analyse evidence in compliance with legal and professional standards.

Core topics include forensic imaging, file system analysis, volatile memory capture, network forensics, mobile forensics, and anti-forensics techniques. You’ll also study chain of custody procedures, evidential integrity, and reporting standards for legal contexts.

Ethical, legal, and sustainability considerations are integrated throughout, including the rights of individuals in digital investigations, proportionality in evidence collection, privacy concerns, and the environmental costs of data storage and processing.

04

Cyber-Physical-Systems Security

Step into the world where the digital meets the physical and learn how to keep cyber-physical systems safe. Explore the security challenges of industrial control systems, IoT networks, autonomous vehicles, and smart cities. Study how digital, physical, and human elements interact. Through case studies and hands-on analysis, you’ll examine real incidents like Stuxnet and attacks on critical infrastructure, learning how vulnerabilities were exploited and defended against. You’ll also consider the wider context, privacy, safety, environmental impact, and inclusivity, so your solutions aren’t just secure, but responsible and sustainable. By the end, you’ll be ready to design and evaluate advanced strategies that protect complex, real-world systems.

05

Federated Cyber Intelligence

Dive into the cutting-edge world of federated cyber intelligence and learn how organisations collaborate to stay ahead of cyber threats. Explore frameworks like MITRE ATT&CK, data sharing protocols, and privacy-preserving analytics, seeing how intelligence can be gathered and analysed across sectors and borders. Through practical examples and case studies, you’ll tackle the challenges of trust, governance, and interoperability while learning how to use federated systems responsibly. You’ll also consider the ethical, legal, and environmental impacts of large-scale intelligence sharing. By the end, you’ll be able to design and evaluate federated cyber intelligence solutions that are effective, lawful, and sustainable.

Big Data Pathway

01

Data Science

Unlock the power of data and discover how to extract meaningful insights from complex, large datasets. Get hands-on with advanced statistical analysis, machine learning, and data visualisation, applying these techniques to real-world problems using professional tools and workflows. You’ll explore advanced methods like feature engineering, model selection, and exploratory analysis, while also considering the bigger picture, tackling issues like data bias, privacy, transparency, and the environmental impact of large-scale computing. By the end, you’ll be able to design and evaluate sophisticated data science solutions that are not just accurate, but responsible and impactful.

02

Distributed Database Systems

Providing you with advanced knowledge and practice in distributed database systems, focusing on the design, implementation, and evaluation of systems that manage data across multiple locations, nodes, or clouds. Study the principles of distribution, replication, partitioning, and consistency, and how these impact performance, reliability, and scalability. Core topics include distributed transaction processing, concurrency control, distributed query optimisation, fault tolerance, CAP/PACELC trade-offs, and database security in distributed environments. You’ll also explore modern platforms such as NewSQL, NoSQL clusters, and cloud-based distributed database services. Ethical, legal, and sustainability aspects are embedded throughout: data sovereignty and compliance with cross-border regulations, privacy in distributed data flows, inclusivity of global access, and the environmental footprint of distributed data infrastructures. By the end, you’ll be able to design, implement, and critically evaluate distributed database systems, balancing performance, resilience, compliance, and sustainability.

03

Big Data Systems

Advancing your skills in the design, implementation, and evaluation of big data systems that support large-scale data collection, storage, processing, and analysis. Explore the architectures and technologies underpinning big data platforms, including distributed file systems, stream-processing frameworks, and cluster resource management.

Core topics include data ingestion pipelines, batch and stream processing, distributed storage, cluster management, and the evaluation of performance, scalability, and fault tolerance. You’ll also study emerging trends such as serverless data systems and real-time analytics.

We embed ethical, legal, and sustainability considerations, including privacy in large-scale data processing, energy consumption of data centres, accessibility of global-scale data systems, and equitable access to data-driven technologies.

At the end, you’ll be able to design, implement, and critically evaluate big data systems, balancing technical performance with professional responsibility.

04

Big Data Computing

Develop your knowhow of computational methods for large-scale data processing, with a focus on high-performance techniques used in big data environments. Explore frameworks and hardware architectures that enable efficient computation over massive datasets, including GPU acceleration, distributed parallelism, and cloud-native computing models.

Core topics include parallel programming paradigms, GPU-based data processing, in-memory computing, distributed task scheduling, scalability of algorithms, and the optimisation of computational resources for performance and energy efficiency. You’ll engage with case studies from scientific computing, financial modelling, climate research, and AI applications to understand how big data computing supports decision-making in critical domains.

Ethical, inclusivity, and sustainability issues are embedded throughout, such as energy consumption of high-performance clusters, equitable access to computational resources, and responsible use of data-intensive computing in global contexts.

05

Regional Data Management

Explore advanced concepts and practices in regional data management, focusing on the technical, legal, and ethical issues of storing, processing, and governing data across different geographic, legal, and political jurisdictions. Core topics include regulatory frameworks, data localisation policies, distributed and federated data architectures, metadata and governance standards, and the trade-offs between global interoperability and regional compliance. Analyse case studies where regional policies impact cloud platforms, multinational enterprises, and cross-border research collaborations.

Ethical, legal, and sustainability considerations are central to the module: ensuring data fairness and inclusivity, protecting individual rights, and addressing the environmental costs of regional data infrastructures such as duplicated storage and increased energy demand.

Year Three

01/02

Engineering Individual Project

Filled automatically from the selected module in the list.

Next

Applied Artificial Intelligence

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.

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Entry requirements

Entry requirements

Entry requirements

Our entry requirements are designed to welcome students from a range of Indian academic backgrounds. What matters most is your readiness to learn and grow. The guidelines below can help you understand whether this programme is a good fit for you.

>60%

>60% in Class 12 or equivalent from any recognised Indian board (CBSE, ISC, State Boards, IB or IGCSE)

6.0

IELTS 6.0 overall, with at least 5.5 in each section

Check your eligibility

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Computer Science
Taught in London.

Computer Science
Taught in London.

Computer Science
Taught in London.

Apply to ASU London

Graduate outcomes

Graduate outcomes

Graduate outcomes

Where this degree can take you

This programme is designed to help you understand engineering in depth and apply it in real-world contexts. You build a strong foundation in theory and use it through project-based learning that reflects how engineering is practised today.

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Applied, project-based learning

Work on projects that reflect real engineering challenges. Apply concepts as you learn them, test ideas in practice and develop solutions through iteration and feedback.

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Theory that supports practice

Develop a solid grounding in engineering principles, mathematics and computer science. Use this foundation to design, analyse and improve systems, not just to prepare for examinations.

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Engineering for what comes next

Prepare to work on emerging challenges in computer science and related fields. The curriculum is designed to develop the skills and ways of thinking required in the years ahead.

Careers and opportunities

Software Developer / Software Engineer

Mobile Application Developer

Cybersecurity Analyst / Cybersecurity Engineer

Data Scientist / Data Analyst

Machine Learning Engineer / AI Specialist

Network Security Specialist / Network Engineer

Applying from India?

Applying from India?

Applying from India?

Connect with our admissions team on WhatsApp

If you are thinking about studying in London, it helps to know what to expect. Here is what you can get help with when you get in touch.

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Chitkara University students in branded T-shirts lying in a circle on the lawn, giving thumbs up, in black and white with the red kept
Chitkara University students in branded T-shirts lying in a circle on the lawn, giving thumbs up, in black and white with the red kept
Chitkara University students in branded T-shirts lying in a circle on the lawn, giving thumbs up, in black and white with the red kept
Big Ben at night with light trails on Westminster Bridge
Chitkara University students in branded T-shirts lying in a circle on the lawn, giving thumbs up, in black and white with the red kept
Chitkara University students in branded T-shirts lying in a circle on the lawn, giving thumbs up, in black and white with the red kept
Chitkara University students in branded T-shirts lying in a circle on the lawn, giving thumbs up, in black and white with the red kept
Big Ben at night with light trails on Westminster Bridge
Chitkara University students in branded T-shirts lying in a circle on the lawn, giving thumbs up, in black and white with the red kept
Chitkara University students in branded T-shirts lying in a circle on the lawn, giving thumbs up, in black and white with the red kept
Chitkara University students in branded T-shirts lying in a circle on the lawn, giving thumbs up, in black and white with the red kept

Accommodation

Find housing options that are safe, suitable and close to campus.

Visa support

Get clear guidance on each step of the visa process.

Fees and scholarships

Understand your costs and see what scholarship support you may receive.

Pre-arrival support

Prepare confidently with help on documents, travel and settling in.

Applications close on

30 May 2026

30 May 2026

30 May 2026

For faster support with your application, please submit the form to connect with us on WhatsApp.

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How to apply

How to apply

How to apply

Start your application by connecting with us on WhatsApp

Your application begins when you submit the form above, and an admissions adviser will guide you through each step from there.

1

Submit the form so we can connect with you.

2

Chat with an admissions adviser on WhatsApp and ask any questions.

3

Share your background so we can understand what you’re looking for.

4

Get guidance on the programme and complete your application.

5

Receive your conditional offer and move to the next steps for admission.

Frequently asked questions

Frequently asked questions

Frequently asked questions

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About ASU London

What is ASU London?

ASU London is an independent, UK-accredited higher education institution. It is founded by and supported by Arizona State University, one of the world’s top 1% of universities globally.

At ASU London, you can earn a UK-accredited bachelor’s degree in one of the world’s most exciting student destinations. Our degrees combine innovative, hands-on, project-based learning with real-world experience shaped by industry.

You spend three years studying in London and graduate with the skills, networks, knowledge and experience to thrive in a global career.

What does “Founded by Arizona State University” mean?

It means ASU helped design the academic programmes and curriculum. You will study in London with access to ASU expertise, teaching approaches and academic resources.

Is ASU London officially recognised?

Yes. ASU London holds Full Degree Awarding Powers and is registered with the UK Office for Students — the highest form of taught degree accreditation.

Where is the campus located?

From 2026, ASU London will be located in Islington, Central London, at the City St George’s Clerkenwell campus, right in the heart of one of London’s most exciting student neighbourhoods.

Islington is known for its lively mix of culture and community — think independent cafés, live music venues, leafy parks and creative spaces — giving students the perfect balance of city life and local charm.

What makes ASU London unique?

ASU London combines the creativity and innovation of Arizona State University with the academic excellence of the UK higher education system. Students gain an international perspective, hands-on learning and a bachelor’s degree recognised across the UK and internationally.

Who can apply?

ASU London welcomes students from around the world who are passionate about technology, design, business and global problem-solving. Whether you are finishing secondary school or already hold prior credits, there is a degree for you.

How are ASU and ASU London connected?

ASU London was founded by ASU. Our ASU London degree programmes are designed in collaboration with Arizona State University faculty, considering curriculum, case studies and teaching models. This ensures students benefit from ASU’s global educational expertise while earning a standalone UK degree.

Is my degree from ASU or ASU London?

Students graduate with a fully recognised UK degree from ASU London.

Who accredits ASU London?

ASU London is registered with the UK Office for Students and holds Full Degree Awarding Powers, the highest form of taught degree accreditation in the UK.

Why is Arizona State University involved in this partnership in the UK?

Arizona State University, as an original founder, created ASU London as part of its mission to expand access to high-quality, global education. London is one of the world’s top three cities for students and a global hub for higher education – making it an ideal location to bring Arizona State University’s innovative model to more learners around the world.

Through ASU London, students can earn a UK-accredited bachelor’s degree shaped by ASU’s teaching models, project-based learning and real-world academic design.

Life and student experience

What is it like to study at ASU London?

You will study in one of the world’s most exciting cities with classmates from around the globe. Classes are hands-on, collaborative, and built around solving real problems.

When does the academic year start?

The main intake is September each year (welcome week is in late September).

Will there be student housing?

Yes. ASU London will partner with trusted housing providers near campus, and advisers can assist with private housing options. Many universities in the city work with specialist student housing providers rather than owning large dormitory complexes on campus. This approach gives students more flexibility, more choice, and access to professionally managed residences designed specifically for university living.

What support is available for international students?

Dedicated advisers help with visas, housing, academic support, and the transition to life in the UK.

Is housing available nearby?

Yes. Student housing options are available close to campus through trusted partners. The student support team can help you secure accommodation that fits your budget and lifestyle.

What student life activities are offered?

ASU London students join clubs, hackathons, networking events, and community projects across London. You will also have opportunities to connect with ASU’s global network and participate in international competitions. The new ASU London campus in Islington, Central London, which is housed within the City of St George’s University campus and district, offers a perfect student lifestyle of culture, entertainment, dining, and student events and activities.

Can I start in January instead?

No. Advisers can keep you informed if this changes.

Tuition and fees

How much is tuition for international students?

The estimated annual tuition fee for international students is £23,600. This reflects the cost of a full-time, three-year UK bachelor’s degree at ASU London.

Why is ASU London considered good value?

International students receive a UK-accredited bachelor’s degree delivered through an applied, industry-informed curriculum in one of the world’s most dynamic cities.

The three-year UK structure also means lower overall tuition compared with many other international study destinations, where undergraduate degrees typically take four years to complete.

Are scholarships available?

Yes. ASU London offers scholarships for international students.

A scholarship of £4,735 per year for three years of undergraduate study is available for eligible students for a limited period.

How does the cost compare to US universities?

Many international families find the total cost of studying in the UK more affordable than studying in the United States.

UK (ASU London)

International tuition: £23,600 per year

Degree length: 3 years

US Public Universities (Out-of-State / International Students)

Average tuition and fees: ~$30,780 per year

Degree length: 4 years

Total tuition typically exceeds $120,000+ over four years, before housing and other expenses.

When comparing full degree lengths, the three-year UK model often offers a more cost-effective path for international students.

What about living costs in London? Isn’t it expensive?

London is a major global city, but actual student living costs are often comparable to — and in some cases lower than — costs at US universities.

Typical monthly living costs in London:

Approximately £1,550 per month

Typical living costs in the U.S. (College Board, 2025–26):

Approximately $3,016 per month

When viewed side by side, many families find that studying in London offers strong value relative to other international destinations.

Programmes and degrees

What can I study?

Students can choose from forward-looking programmes in engineering, technology and business: Global Design Engineering, Engineering with AI, Engineering with Mechatronics, Computer Science, Electrical and Electronic Engineering, and Business and Management.

What makes ASU London different from other universities?

ASU London blends hands-on, project-based learning with real industry challenges. You will work on meaningful problems such as sustainability, AI applications and smart-city innovation, gaining practical experience throughout your degree.

Who teaches at ASU London?

Courses are taught by expert UK-based faculty, with guest lectures and mentorship from Arizona State University professors and industry leaders.

Will my degree be recognised internationally?

Yes. ASU London degrees are UK-accredited and recognised globally. Engineering programmes are aligned with ABET-equivalent standards under the Washington and Seoul Accords.

What programmes are coming next?

New degrees in Computer Science, Electrical and Electronic Engineering, and Business and Management are launching in 2026 to provide more options for students who want to specialise in technology, engineering and global business.

Can you give examples of student projects?

Students have worked on real-world challenges such as smart-city systems, sustainable housing prototypes and AI-enabled health technologies. These projects are developed with input from industry mentors and often connect students to internship opportunities.

Will I learn from ASU professors as well?

Yes. ASU faculty visit London regularly to deliver guest lectures, lead workshops and collaborate on academic projects. Many ASU London instructors also have joint appointments or previous experience at ASU.

Is my degree valid in the United States?

Yes. ASU London’s UK degrees are recognised internationally, including in the United States, as they follow the same quality frameworks and international accords (such as the Washington and Seoul Accords) used by accrediting bodies like ABET.

Why choose ASU London

Why should I choose ASU London?

You will earn a UK degree shaped by Arizona State University — the #1 most innovative university in the United States — while gaining international experience and access to study and career opportunities in the UK.

What is the benefit of the ASU connection?

Students benefit from ASU’s academic excellence, global network, and additional learning opportunities, including select online courses and certificates delivered by ASU.

What career opportunities will I have?

Graduates are prepared for internationally focused careers, with UK-accredited degrees that are recognised worldwide and open doors to work options in the UK.

When can I apply?

Applications can be submitted directly to ASU London until the end of January.

Can I take ASU online classes while studying in London?

Yes. A selection of ASU courses is available online, allowing students to enhance their degree with specialised electives or certificates from ASU while studying at ASU London.

Does ASU London offer career services?

Yes. Students have access to personalised career support, including CV workshops, interview preparation, employer networking, and guidance through ASU’s global career network.