Computer Science and Artificial Intelligence at Queen Mary University of London - UCAS

Course summary

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 method

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.


How to apply

Application codes

Course code:
I400
Institution code:
Q50
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements


English language requirements

All applicants to QMUL must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student who will require Tier 4 immigration permission to enter the UK.

Queen Mary University of London: English Language Requirements

http://www.qmul.ac.uk/international/englishlanguagerequirements/index.html#


Student Outcomes

Operated by the Office for Students
84%
Employment after 15 months (Most common jobs)
90%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £9250* Year 1
Northern Ireland £9250* Year 1
Scotland £9250* Year 1
Wales £9250* Year 1

*This is a provisional fee and subject to change.

Additional fee information

Our most recent information regarding tuition fees can be found at http://www.qmul.ac.uk/tuitionfees/
Computer Science and Artificial Intelligence at Queen Mary University of London - UCAS