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

Queen Mary University of London

Degree level: Undergraduate
Awarded by: Queen Mary, University of London

Computer Science and Artificial Intelligence with Industrial Experience

Course summary

Demand for AI skills is surging worldwide. It’s predicted that 97 million jobs involving AI will be created by 2025 (World Economic Forum). Why study this course? Queen Mary is 6th in the UK for Computer Science (Times Higher Education rankings by subject, 2023). This programme is led by Professor Simon Lucas, who has recently returned from working as a Research Scientist at Meta. Choose to specialise in vision and data or games and music in your third year. What you'll study 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.

Modules

YEAR 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) 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:
I40Y
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 with Industrial Experience at Queen Mary University of London - UCAS