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Computer Science and Artificial Intelligence

Entry Year: 2025

3 study options

Computer Science and Artificial Intelligence BSc (Hons)

Key information

Degree
BSc (Hons)
Duration
3 years
Start
September 2025
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. Excludes General Studies and Critical Thinking.
Full entry requirements (including contextual admissions)
Home fees
£9,250
Overseas fees
£29,950
Funding information
Paying your fees

Computer Science and Artificial Intelligence with Industrial Experience BSc (Hons)

Key information

Degree
BSc (Hons)
Duration
4 years
Start
September 2025
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. Excludes General Studies and Critical Thinking.
Full entry requirements (including contextual admissions)
Home fees
£9,250
Overseas fees
£29,950
Funding information
Paying your fees

Computer Science and Artificial Intelligence with Year Abroad BSc (Hons)

Key information

Degree
BSc (Hons)
Duration
4 years
Start
September 2025
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. Excludes General Studies and Critical Thinking.
Full entry requirements (including contextual admissions)
Home fees
£9,250
Overseas fees
£29,950
Funding information
Paying your fees

Year abroad cost

Finances for studying abroad on exchange

View details
Computer Science and Artificial Intelligence
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Overview

Explore the fascinating world of Computer Science and AI and get ready to solve real-world challenges.

Monitoring health in sports. Trying outfits on virtually. Filtering photos on your smartphone. 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 8th for computer science in the UK by Times Higher Education 2024 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

  • EMS516U - Introduction to Robotics (15 credits)
  • ECS529U - Algorithms and Data Structures (15 credits)
  • ECS509U - Probability and Matrices (15 credits)
  • ECS533U - Introduction to Artificial Intelligence (15 credits)

Semester 4

  • ECS518U - Operating Systems (15 credits)
  • ECS5YYU - Generative Deep Learning (15 credits)
  • ECS535U - AI for Decision Making (15 credits)

Plus one from (must be approved by Programme Director):

  • ECS537U - Design and Build Project in Artificial Intelligence (15 credits)
  • EMS511U - Robot Design and Mechatronics (15 credits)

Please note that all modules are subject to change.

Year 3

Both streams

  • ECS635U - Project (30 credits)

You will be asked to choose one of the following streams of modules, according to your interests.


Stream 1 - Vision and Data:

  • ECS663U - Principles of Machine Learning (15 credits)
  • ECS607U - Data Mining (15 credits)
  • ECS669U - Computational Imaging (15 credits)
  • ECS647U - Bayesian Decision and Risk Analysis (15 credits)
  • ECS664U - Machine Learning for Visual Data Analysis (15 credits)
  • ECS665U - Introduction to Natural Language Processing (15 credits)


Stream 2 - Games and Music:

  • ECS663U - Principles of Machine Learning (15 credits)
  • ECS666U - Logic in Computer Science (15 credits)
  • ECS657U - Multi-platform Game Development (15 credits)
  • ECS647U - Bayesian Decision and Risk Analysis (15 credits)
  • ECS667U - Music Informatics (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.

student profile image
Testimonial

"It’s hard to pick one thing that I enjoyed most - I absolutely enjoyed all aspects of studying Computer Science at Queen Mary. However, if I had to pick one thing, I would say that I enjoyed having a dedicated study and lab space (the ITL), where we had the opportunity to relate to students at different levels of their study."

Natasha Olutayo, Solutions Architect at Productboard, graduated from BSc Computer Science in 2018

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 Informatics Teaching Lab (ITL), which is only used by Electronic Engineering and Computer Science students. This lab is made up of 300 fully networked multimedia workstations, which run both the Linux and Windows operating systems. The ITL is due to undergo a £5.8 million refurbishment, funded by the Office for Students.

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.

Entry requirements

A-LevelGrades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. Excludes General Studies and Critical Thinking.
IBInternational 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.
BTECSee our detailed subject and grade requirements
Access HEWe 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.
GCSEMinimum five GCSE passes including English at grade C or 4 and Maths at grade B or 5.
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-LevelGrades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. Excludes General Studies and Critical Thinking.
IBInternational 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.
BTECSee our detailed subject and grade requirements
Access HEWe 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.
GCSEMinimum five GCSE passes including English at grade C or 4 and Maths at grade B or 5.
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-LevelGrades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. Excludes General Studies and Critical Thinking.
IBInternational 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.
BTECSee our detailed subject and grade requirements
Access HEWe 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.
GCSEMinimum five GCSE passes including English at grade C or 4 and Maths at grade B or 5.
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

See our general undergraduate entry requirements.

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

Graduate destinations

ITCareerFinder predicts that jobs requesting AI and machine learning skills will increase by 71% between 2021 and 2026.

It's been widely reported that there is a shortage of talent in the AI industry. Graduating with a BSc in Computer Science and Artificial Intelligence should position students at the forefront of the job market, due to the significant need both nationally and internationally.

Whilst we have not seen the first cohort of this programme graduate yet, recent Computer Science graduates have been hired by:

  • Accenture
  • Amnesty International
  • BBC
  • Depop
  • Google
  • IBM
  • Sky
  • J.P. Morgan

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:

  • specialist advice on choosing a career path,
  • support with finding work experience, internships and jobs,
  • feedback on CVs, cover letters and application forms,
  • interview coaching.

Learn more about career support and development at Queen Mary.

We also have an 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.

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