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Demand for AI skills is surging worldwide. It’s predicted that 97 million jobs involving AI will be created by 2025 (World Economic Forum).
This programme is designed to respond to a growing demand in the technology sector for people able to design, implement and deploy computer programmes, following the latest advances in artificial intelligence.
Our world-leading lecturers will teach the fundamental aspects of computer science, complemented by an extensive coverage of the main sub-fields of artificial intelligence, including: ethics, search, evolutionary computation, game theory, machine and deep learning, data science, computer vision, games and music.
Please note that all modules are subject to change.
You will be asked to choose one of the following streams of modules, according to your interests.
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.
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:
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.
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.
"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."
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 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.
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.
Alternative offers may be made to applicants taking the Extended Project Qualification.
For further information please visit: qmul.ac.uk/undergraduate/entry/epq
Our standard contextual offer: Grades ABB including one of Maths, Physics or Computer Science at A-Level. Excludes General Studies, Critical Thinking.
Our enhanced contextual offer (for care experienced students, refugee/asylum seekers or students who have completed Realising Opportunities or Access to Queen Mary): Grades BBB Including one of Maths, Physics or Computer Science at A-Level. Excludes General Studies, Critical Thinking.
More information on how this information is used for a contextual offer can be found on our contextualised admissions page.
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.
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.
See our general undergraduate entry requirements.
UK students accepted onto this course are eligible to apply for tuition fee and maintenance loans from Student Finance England or other government bodies.
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.
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:
ITCareerFinder predicts that jobs requesting artificial intelligence 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:
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:
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.
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)
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.
Tel: +44 (0)20 7882 7332
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