Thank you for considering an application
To apply you’ll need to:
- Make note of the Queen Mary institution code: Q50
- Make note of your chosen course UCAS code:
Computer Science and Artificial Intelligence
- I400 — BSc (Hons)
- I40Y — BSc (Hons) with Industrial Experience
- I40A — BSc (Hons) with Year Abroad
- Click on the link below:
Have further questions? How to apply | Entry requirements
Computer Science and Artificial Intelligence
3 study options
Computer Science and Artificial Intelligence BSc (Hons)
Key information
- Degree
- BSc (Hons)
- Duration
- 3 years
- Start
- September 2027
- UCAS code
- I400
- Institution code
- Q50
- Typical A-Level offer
- Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics.
Full entry requirements (including contextual admissions) - Home fees
- £9,790
- Overseas fees
- Fees for 2027 entry will appear here shortly
*These fees are for the 2026-27 academic year and are provided as a guideline. Fees for 2027-28 have not yet been set.
Computer Science and Artificial Intelligence with Industrial Experience BSc (Hons)
Key information
- Degree
- BSc (Hons)
- Duration
- 4 years
- Start
- September 2027
- UCAS code
- I40Y
- Institution code
- Q50
- Typical A-Level offer
- Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics.
Full entry requirements (including contextual admissions) - Home fees
- £9,790
- Overseas fees
- Fees for 2027 entry will appear here shortly
*These fees are for the 2026-27 academic year and are provided as a guideline. Fees for 2027-28 have not yet been set.
Computer Science and Artificial Intelligence with Year Abroad BSc (Hons)
Key information
- Degree
- BSc (Hons)
- Duration
- 4 years
- Start
- September 2027
- UCAS code
- I40A
- Institution code
- Q50
- Typical A-Level offer
- Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics.
Full entry requirements (including contextual admissions) - Home fees
- £9,790
- Overseas fees
- Fees for 2027 entry will appear here shortly
*These fees are for the 2026-27 academic year and are provided as a guideline. Fees for 2027-28 have not yet been set.
Overview
Explore the fascinating world of Computer Science and AI and get ready to solve real-world challenges.
AI-powered health diagnostics. Managing your finances with AI-powered budgeting apps. Navigating cities using real-time traffic predictions. AI now influences many areas of our lives, from how we work and study to how we create, and even socialise.
With computer science and artificial intelligence being one of the most rapidly growing technological developments of our time, you could be at the forefront of transforming the world around us. At Queen Mary we’ve been leading on this topic for decades. We were recently ranked 7th in the UK for Data Science and AI by QS World Ranking by Subject 2026 and joint 1st for outstanding research impact (REF, 2021).
Follow your curiosities
During this programme, you’ll explore the fundamental concepts of computer science, be introduced to the different areas of AI, and design an individual project based on your own interests. You’ll also have the chance to apply for a year working in industry to put your learning into action or consider spending your third year studying abroad as part of our 4-year programme.
You’ll be taught by an expert team of academics who are dedicated to delivering a research-driven approach to education. Through their involvement in our cutting-edge research groups, they’re equipped to introduce you to a range of topics including machine learning, game AI, operating systems and robotics.
Having learnt some of the most sought-after skills that employers look for, and with a wide array of career opportunities in almost any area you can think of, you’ll be spoilt for choice. Healthcare, retail, manufacturing, security, games, information management – which industry sparks your interest?
Structure
Year 1
Semester 1
- ECS401U - Procedural Programming (15 credits)
- ECS404U - Computer Systems and Networks (15 credits)
- ECS407U - Logic and Discrete Structures (15 credits)
- ECS427U - Professional and Research Practice (15 credits)
Semester 2
- ECS414U - Object Oriented Programming (15 credits)
- ECS417U - Fundamentals of Web Technology (15 credits)
- ECS419U - Information Systems Analysis (15 credits)
- ECS421U - Automata and Formal Languages (15 credits)
Please note that all modules are subject to change.
Year 2
Semester 3
- ECS529U - Algorithms and Data Structures (15 credits)
- ECS509U - Probability and Matrices (15 credits)
- ECS533U - Introduction to Artificial Intelligence (15 credits)
Choose one of:
- EMS516U - Introduction to Robotics (15 credits)
- ECS519U - Database Systems (15 credits)
Semester 4
- ECS537U - Design and Build Project in Artificial Intelligence (15 credits)
- ECS518U - Operating Systems (15 credits)
- ECS5YYU - Generative Deep Learning (15 credits)
- ECS535U - Artificial Intellignece for Decision Making (15 credits)
Please note that all modules are subject to change.
Year 3
- ECS635U - Project (30 credits)
- ECS663U - Principles of Machine Learning (15 credits)
- ECS647U - Bayesian Decision and Risk Analysis (15 Credits)
Choose two from:
- ECS607U - Data Mining (15 credits)
- ECS640U - Big Data Processing (15 credits)
- ECS657U - Multi-platform Game Development (15 credits)
- ECS658U - Further Object Oriented Programming (15 credits)
- ECS666U - Logic in Computer Science (15 credits)
- ECS669U - Computational Imaging (15 credits)
Choose two from:
- ECS605U - Image Processing (15 credits)
- ECS655U - Security Engineering (15 credits)
- ECS656U - Distributed Systems (15 credits)
- ECS659U - Neural Networks and Deep Learning (15 credits)
- ECS665U - Introduction to Natural Language Processing (15 credits)
- ECS668U - Computational Game Design (15 credits)
Please note that all modules are subject to change.
Study options
Apply for this degree with any of the following options. Take care to use the correct UCAS code - it may not be possible to change your selection later.
Year in industry
This degree can be taken with an optional industrial experience year, spent working in a role related to your field of study. This is taken in your third year of studies. Past students from our School have worked with companies including:
- Accenture
- Canon Europe
- GlaxoSmithKline
- IBM
- The Walt Disney Company.
Find out more about degrees with industrial experience.
Please note that industrial placements are highly competitive and awarded based on application, academic track record and performance at interview. If you are not successful in securing a placement, your third year will be spent at Queen Mary completing your studies.
Year abroad
Go global and add an optional year abroad to your degree. Our School has a wide range of international partners all over the world.
Find out more about study abroad opportunities at Queen Mary.
Please note - you can either do a year in industry or a year abroad - you cannot combine these options.
"I chose to study at Queen Mary due to its diverse and inclusive student community, and I chose my programme because I feel that it’s a very relevant subject to study in today’s rapidly evolving technological landscape. I wanted a better understanding of how it works and how it can be utilised to help people as well as learn the foundations of theoretical Computer Science and coding. I’m proud of the fact that I have been able to develop several projects in such a short amount of time such as a portfolio website, a horse racing simulator and a text-based dungeon crawler. Despite having no prior experience with Java, I was able to build these programs confidently thanks to the skills I've gained through my studies and my determination to learn independently."
Teaching
Teaching and learning
You’ll spend 15 to 20 hours per week in lectures, laboratory sessions and tutorials. You will also be expected to complete additional hours of independent study. You’ll meet with your personal advisor regularly, to ensure that you are settling in and progressing well.
Assessment
Assessment typically includes a combination of coursework (presentations, assignments, essay report writing, in-class tests, research and project work) and/or examinations in May or June.
Individual and group projects are assessed through a written report, practical demonstration and oral examination.
Resources and facilities
As a student, your home will be the Mile End campus. You’ll spend lots of time in our newly refurbished Informatics Teaching Lab (ITL), which is exclusively for Electronic Engineering and Computer Science students. This lab has recently undergone a £20 million refurbishment, which will be completed in January 2026. Students joining in September will be among the first to use this new facility.
The labs are open seven days a week, generally between 8am and midnight. Students can also gain remote access to the School’s computing facilities 24-hours a day.
We have a number of computer science students employed as 'module demonstrators', who are available in labs to help first and second-year students to navigate software and programming tools.
In this interview, Paul Tucker tells us his thoughts on life at Queen Mary and studying in the School of Electronic Engineering and Computer Science. Having completed his placement year in Belfast, he goes into details about the process of finding a placement, what valuable lessons he learnt during his time with Visa, and what he hopes to do after he graduates.
Entry requirements
| A-Level | Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. |
| IB | International Baccalaureate Diploma with a minimum of 36 points overall, including 6,6,6 from three Higher Level subjects. This must include either Mathematics, Computer Science, or Physics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and approaches at Higher Level. |
| BTEC | See our detailed subject and grade requirements |
| Access HE | We consider applications from students with the Access to Higher Education Diploma in Computing. The minimum academic requirement is to achieve 60 credits overall, with 45 credits at Level 3, of which 33 credits must be at Distinction and 12 credits at Merit or higher. Applications are considered on a case by case basis. Due to the high volume of applications, we do not make offers of study purely on the basis of meeting grade requirements. GCSE Mathematics at grade B/5 is required in addition to the Access qualification. |
| GCSE | Both GCSE English at grade C or 4 and Maths at grade B or 5 (or an acceptable equivalent will be required. |
| EPQ | Alternative offers may be made to applicants taking the Extended Project Qualification. For further information please visit: qmul.ac.uk/undergraduate/entry/epq |
| Contextualised admissions | Our standard contextual offer: ABB including one of Maths, Physics or Computer Science at A-Level. Our enhanced contextual offer: BBB including one of Maths, Physics or Computer Science at A-Level. More information on our contextual offer criteria can be found on our contextualised admissions page. Please note that General Studies and Critical Thinking are excluded from any A-Level offer and cannot be considered. |
| A-Level | Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. |
| IB | International Baccalaureate Diploma with a minimum of 36 points overall, including 6,6,6 from three Higher Level subjects. This must include either Mathematics, Computer Science, or Physics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and approaches at Higher Level. |
| BTEC | See our detailed subject and grade requirements |
| Access HE | We consider applications from students with the Access to Higher Education Diploma in Computing. The minimum academic requirement is to achieve 60 credits overall, with 45 credits at Level 3, of which 33 credits must be at Distinction and 12 credits at Merit or higher. Applications are considered on a case by case basis. Due to the high volume of applications, we do not make offers of study purely on the basis of meeting grade requirements. GCSE Mathematics at grade B/5 is required in addition to the Access qualification. |
| GCSE | Both GCSE English at grade C or 4 and Maths at grade B or 5 (or an acceptable equivalent will be required. |
| EPQ | Alternative offers may be made to applicants taking the Extended Project Qualification. For further information please visit: qmul.ac.uk/undergraduate/entry/epq |
| Contextualised admissions | Our standard contextual offer: ABB including one of Maths, Physics or Computer Science at A-Level. Our enhanced contextual offer: BBB including one of Maths, Physics or Computer Science at A-Level. More information on our contextual offer criteria can be found on our contextualised admissions page. Please note that General Studies and Critical Thinking are excluded from any A-Level offer and cannot be considered. |
| A-Level | Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. |
| IB | International Baccalaureate Diploma with a minimum of 36 points overall, including 6,6,6 from three Higher Level subjects. This must include either Mathematics, Computer Science, or Physics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and approaches at Higher Level. |
| BTEC | See our detailed subject and grade requirements |
| Access HE | We consider applications from students with the Access to Higher Education Diploma in Computing. The minimum academic requirement is to achieve 60 credits overall, with 45 credits at Level 3, of which 33 credits must be at Distinction and 12 credits at Merit or higher. Applications are considered on a case by case basis. Due to the high volume of applications, we do not make offers of study purely on the basis of meeting grade requirements. GCSE Mathematics at grade B/5 is required in addition to the Access qualification. |
| GCSE | Both GCSE English at grade C or 4 and Maths at grade B or 5 (or an acceptable equivalent will be required. |
| EPQ | Alternative offers may be made to applicants taking the Extended Project Qualification. For further information please visit: qmul.ac.uk/undergraduate/entry/epq |
| Contextualised admissions | Our standard contextual offer: ABB including one of Maths, Physics or Computer Science at A-Level. Our enhanced contextual offer: BBB including one of Maths, Physics or Computer Science at A-Level. More information on our contextual offer criteria can be found on our contextualised admissions page. Please note that General Studies and Critical Thinking are excluded from any A-Level offer and cannot be considered. |
Non-UK students
We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. Please visit International Admissions for full details.
If your qualifications are not accepted for direct entry onto this degree, consider applying for a foundation programme.
English language
Find out more about our English language entry requirements, including the types of test we accept and the scores needed for entry to the programme.
You may also be able to meet the English language requirement for your programme by joining a summer pre-sessional programme before starting your degree.
Further information
Funding
Loans and grants
UK students accepted onto this course are eligible to apply for tuition fee and maintenance loans from Student Finance England or other government bodies.
Scholarships and bursaries
Queen Mary offers a generous package of scholarships and bursaries, which currently benefits around 50 per cent of our undergraduates.
Scholarships are available for home, EU and international students. Specific funding is also available for students from the local area. International students may be eligible for a fee reduction. We offer means-tested funding, as well as subject-specific funding for many degrees.
Find out what scholarships and bursaries are available to you.
Support from Queen Mary
We offer specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.
Take a look at our Student Advice Guides which cover ways to finance your degree, including:
- additional sources of funding
- planning your budget and cutting costs
- part-time and vacation work
- money for lone parents.
Careers
Preparing you for your future
In East London, at the heart of a global tech hub, Queen Mary Computer Science and AI students are developing the skills, experience and industry connections that prepare them for ambitious, impactful careers.
When you study with us, you’ll gain the ability to design software, analyse data, understand complex systems and solve real‑world problems - all essential foundations for computer science and AI. You’ll learn to evaluate evidence, think critically and balance both detail and the bigger picture, skills that are increasingly vital as tech reshapes industries and everyday life.
Demand for AI expertise continues to accelerate, with jobs requiring specialist AI skills growing significantly faster than the wider job market. Combined with a well‑documented shortage of AI talent, graduating with a BSc in Computer Science and Artificial Intelligence positions you strongly in both national and international job markets.
These capabilities will equip you to thrive across a wide range of careers, from software engineering and data science to AI‑driven research, innovation and technology consulting across sectors including finance, health, media and the public sector.
Embedding opportunities for real‑world application
Demonstrate the skills you learn in labs and lectures through a placement year. All our bachelor’s degrees offer the option to spend twelve months working full‑time in industry, earning a salary and gaining hands‑on experience that employers value. You’ll be supported throughout the process by our dedicated Industrial Placement Manager, who helps you find opportunities, prepare applications and connect with employers. Students have recently completed placements at organisations such as Amazon, Microsoft, BBC, IBM, Accenture, Goldman Sachs, Morgan Stanley, UBS, Vodafone and Tower Hamlets Council. These roles span tech, finance, media, energy and the public sector, giving you the chance to explore where your skills can take you.
Or get involved with extracurricular activities that help you grow beyond the curriculum – from hackathons and coding societies to research groups and student‑led tech projects that give you space to experiment, collaborate and build a portfolio that stands out.
Where our graduates are now
- Software Engineer
- Software Developer
- DevOps Engineer
- Technology Analyst
- Data Scientist
The average salary of Queen Mary computer science graduates who graduated in 2022 is £35,872 (GOS Survey of Students who graduated in 2022/23)
Career support
Our Careers and Enterprise service run regular employability events and workshops, and host industry speakers on campus. We have recently welcomed speakers from companies including IBM, Amazon Web Services and FDM Group.
The Queen Mary careers team can offer:
- Advice on choosing a career path
- Support with finding work experience, internships and graduate jobs
- Feedback on CVs, cover letters and application forms
- Interview coaching.
Learn more about career support and development at Queen Mary.
We also have a dedicated industrial placement advisor within our School, who supports students with finding and applying to year-long placements.
Data for these courses
Computer Science and Artificial Intelligence - BSc (Hons)
Computer Science and Artificial Intelligence with Industrial Experience - BSc (Hons)
Computer Science and Artificial Intelligence with Year Abroad - BSc (Hons)
The Discover Uni dataset (formerly Unistats)
About the School
The School of Electronic Engineering and Computer Science carries out world-class research – and applies it to real-world problems. Being taught by someone who is changing the world with their ideas makes for exciting lectures, and helps you to stay ahead of the curve in your field. 99 per cent of our research is classed as ‘world-leading’ or ‘internationally excellent’ (REF 2021).
We are proud of our excellent student-staff relations, and our diverse student body, made up of learners from more than 60 countries.
The School has a close-knit student community, who take part in competitions and extracurricular lab activities.
