Computer Science and Artificial Intelligence with Year Abroad
Queen Mary University of London
UCAS Code: I40A | Bachelor of Science (with Honours) - BSc (Hons)
Queen Mary University of London
UCAS Code: I40A | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
Must include at lease one of Mathematics, Computer Science or Physics. Excluded subjects - General Studies and Critical Thinking Please note: You will also be expected to achieve a Pass grade in the practical endorsement for any of the following A levels - Biology, Chemistry, Physics - if taken with one of the Awarding Bodies in England.
Access to HE Diploma
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 30 credits must be at Distinction and 15 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/National 4/National 5
A minimum of five GCSE passes to include English at grade C or 4 and Maths at grade B or 5 or an acceptable equivalent will be required.
International Baccalaureate Diploma Programme
6,6,6 in HL subjects. Must include at lease one of Mathematics, Computer Science or Physics at Higher Level
Queen Mary University of London welcomes applications from students currently studying Level 3 BTEC qualifications and will consider you for entry to the majority of our undergraduate courses. The typical entry requirements will vary according to the course you are applying for. Some of our courses require specific subject knowledge which you may not be able to cover as part of a Level 3 BTEC qualification and we may therefore require additional Level 3 qualifications to ensure that you are suitably prepared for relevant courses. A small number of our courses do not accept BTEC qualifications for entry, either as a standalone qualification, or in combination with other qualifications at Level 3. Information on our typical entry requirements and guidance for applying can be found at http://www.qmul.ac.uk/undergraduate/entry/btec/ If you are at all unsure about the acceptability of your BTEC qualification for entry, please contact the Admissions team for individual advice (admissions@qmul.ac.uk).
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
Immerse yourself in the fascinating arena of machine intelligence as you equip yourself to solve real-world problems.
Monitoring health in sports. Trying outfits on virtually. Filtering photos on your smartphone. Refining research topics for your next project on ChatGPT. Artificial intelligence 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. And right here at Queen Mary we’ve been leading on this topic for decades, recently being rated 6th for computer science in the UK by Times Higher Education 2023 and joint 1st for outstanding research impact (REF, 2021).
Follow your curiosities
Exploring the fundamental concepts of computer science. Being introduced to the different areas of artificial intelligence. Designing an individual project based on your own interests. Which study area are you most excited for? You will also have the opportunity to apply for an internship to put your learning into action. Or how about spending your third year studying abroad with our 4-year programme?
You’ll be taught by an expert team of academics with a reputation for passionate, research-led education. Having immersed themselves 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 career opportunities in almost any area you can think of, you’ll be spoilt for employment choice. Healthcare, retail, manufacturing, security, games, information management – which industry most sparks your interest?
Modules
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.
Assessment methods
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.
Tuition fees
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The Uni
Queen Mary University of London
Electronic Engineering and Computer Science
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Artificial intelligence
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
Artificial intelligence
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£32k
£44k
£54k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Artificial intelligence
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£32k
£44k
£54k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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