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Computer Science and Artificial Intelligence

Entry Year: 2024

3 study options

Computer Science and Artificial Intelligence BSc (Hons)

Key information

Degree
BSc (Hons)
Duration
3 years
Start
September 2024
UCAS code
I400
Institution code
Q50
Typical A-Level offer
Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. Excludes General Studies and Critical Thinking.
Full entry requirements
Home fees
£9,250*
Overseas fees
Fees for 2024 entry will appear here shortly

*These fees are for the 2023-24 academic year and are provided as a guideline. Fees for 2024-25 have not yet been set.

Computer Science and Artificial Intelligence with Industrial Experience BSc (Hons)

Key information

Degree
BSc (Hons)
Duration
4 years
Start
September 2024
UCAS code
I40Y
Institution code
Q50
Typical A-Level offer
Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. Excludes General Studies and Critical Thinking.
Full entry requirements
Home fees
£9,250*
Overseas fees
Fees for 2024 entry will appear here shortly

*These fees are for the 2023-24 academic year and are provided as a guideline. Fees for 2024-25 have not yet been set.

Computer Science and Artificial Intelligence with Year Abroad BSc (Hons)

Key information

Degree
BSc (Hons)
Duration
4 years
Start
September 2024
UCAS code
I40A
Institution code
Q50
Typical A-Level offer
Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. Excludes General Studies and Critical Thinking.
Full entry requirements
Home fees
£9,250*
Overseas fees
Fees for 2024 entry will appear here shortly

*These fees are for the 2023-24 academic year and are provided as a guideline. Fees for 2024-25 have not yet been set.

Year abroad cost

Finances for studying abroad on exchange

View details
Computer Science and Artificial Intelligence
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Overview

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.

Structure

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.

Year 2

  • ECS509U - Probability and Matrices (15 credits)
  • ECS529U - Algorithms and Data Structures (15 credits)
  • ECS533U - Introduction to Artificial Intelligence (15 credits)
  • EMS516U - Aspects of Robotics (15 credits)
  • ECS518U - Operating Systems (15 credits)  
  • ECS534U - Nature-Inspired Computing (15 credits)
  • ECS535U - AI for Decision Making (15 credits)
  • EMS511U - Design and Build Project in Robotics (15 credits)

Please note that all modules are subject to change.

Year 3

Both streams

  • ECS635U - Project (30 credits)


You will be asked to choose 
one of the following streams of modules, according to your interests.


Stream 1 - Vision and Data:

  • ECS663U - Principles of Machine Learning (15 credits)
  • ECS607U - Data Mining (15 credits)
  • ECS669U - Computational Imaging (15 credits)
  • ECS647U - Bayesian Decision and Risk Analysis (15 credits)
  • ECS664U - Machine Learning for Visual Data Analysis (15 credits)
  • ECS665U - Introduction to Natural Language Processing (15 credits)


Stream 2 - Games and Music:

  • ECS663U - Principles of Machine Learning (15 credits)
  • ECS666U - Logic in Computer Science (15 credits)
  • ECS657U - Multi-platform Game Development (15 credits)
  • ECS647U - Bayesian Decision and Risk Analysis (15 credits)
  • ECS667U - Music Informatics (15 credits)
  • ECS668U - Computational Game Design (15 credits)

Please note that all modules are subject to change.

Study options

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.

Year in industry

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:

  • Accenture
  • Canon Europe
  • GlaxoSmithKline
  • IBM
  • The Walt Disney Company.

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.

Year abroad

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.

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Testimonial

"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."

Natasha Olutayo, Solutions Architect at Productboard, graduated from BSc Computer Science in 2018

Teaching

Teaching and learning

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

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.

Resources and facilities

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.

Entry requirements

A-Level Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. Excludes General Studies and Critical Thinking.
IB International Baccalaureate Diploma with a minimum of 36 points overall, including 6,6,6 from three Higher Level subjects. This must include either Mathematics, Computer Science, or Physics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and approaches at Standard or Higher Level.
BTEC See our detailed subject and grade requirements
Access HE 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. 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 Mathematics at grade B/5 is required in addition to the Access qualification.
GCSE Minimum five GCSE passes including English at grade C or 4 and Maths at grade B or 5.
EPQ

Alternative offers may be made to applicants taking the Extended Project Qualification.

For further information please visit: qmul.ac.uk/undergraduate/entry/epq

Contextualised admissions We consider every application on its individual merits and will take into consideration your individual educational experiences and context. More information on how academic schools and programmes use this information as part of the admissions process, can be found on our contextualised admissions pages.
A-Level Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. Excludes General Studies and Critical Thinking.
IB International Baccalaureate Diploma with a minimum of 36 points overall, including 6,6,6 from three Higher Level subjects. This must include either Mathematics, Computer Science, or Physics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and approaches at Standard or Higher Level.
BTEC See our detailed subject and grade requirements
Access HE 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. 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 Mathematics at grade B/5 is required in addition to the Access qualification.
GCSE Minimum five GCSE passes including English at grade C or 4 and Maths at grade B or 5.
EPQ Alternative offers may be made to applicants taking the Extended Project Qualification. For further information please visit: qmul.ac.uk/undergraduate/entry/epq
Contextualised admissions We consider every application on its individual merits and will take into consideration your individual educational experiences and context. More information on how academic schools and programmes use this information as part of the admissions process, can be found on our contextualised admissions pages.
A-Level Grades AAA at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. Excludes General Studies and Critical Thinking.
IB International Baccalaureate Diploma with a minimum of 36 points overall, including 6,6,6 from three Higher Level subjects. This must include either Mathematics, Computer Science, or Physics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and approaches at Standard or Higher Level.
BTEC See our detailed subject and grade requirements
Access HE 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. 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 Mathematics at grade B/5 is required in addition to the Access qualification.
GCSE Minimum five GCSE passes including English at grade C or 4 and Maths at grade B or 5.
EPQ Alternative offers may be made to applicants taking the Extended Project Qualification. For further information please visit: qmul.ac.uk/undergraduate/entry/epq
Contextualised admissions We consider every application on its individual merits and will take into consideration your individual educational experiences and context. More information on how academic schools and programmes use this information as part of the admissions process, can be found on our contextualised admissions pages.

Non-UK students

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.

English language

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.

Further information

See our general undergraduate entry requirements.

Funding

Loans and grants

UK students accepted onto this course are eligible to apply for tuition fee and maintenance loans from Student Finance England or other government bodies.

Scholarships and bursaries

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.

Support from Queen Mary

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:

  • additional sources of funding
  • planning your budget and cutting costs
  • part-time and vacation work
  • money for lone parents.

Careers

Graduate destinations

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:

  • Accenture
  • Amnesty International
  • BBC
  • Depop
  • Google
  • IBM
  • Sky
  • J.P. Morgan

Career support

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:

  • specialist advice on choosing a career path,
  • support with finding work experience, internships and jobs,
  • feedback on CVs, cover letters and application forms,
  • interview coaching.

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.

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