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

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? 

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:
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

There is no data available for this course. For further information visit 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