Course information

Entry requirements

UCAS code


Entry requirements

A-level: BBB
IB: 33 points overall with Three HL subjects at 655


3 years full-time; 4 years full-time with the third year spent on industrial placement; 6 - 8 years part-time



Course overview

Develop a specialist understanding of the key conceptual and technological issues in artificial intelligence and data science computation.

Why study BSc Computer Science (Artificial Intelligence and Data Science)

In this BSc Computer Science pathway, you'll develop and understand cutting-edge machine learning models, alongside their implications. You'll be able to:

  • Understand the theoretical underpinnings and implementation of machine learning.
  • Apply datasets to a range of models including deep learning neural networks.
  • Apply models to a range of divergent problems.
  • Consider the ethical and social implications of a model’s deployment.
  • Appreciate a model’s validity and limitations.
  • Extract useful information from large corpuses of data, using software mining techniques.

Computer Science pathways

As well as BSc Computer Science (Artificial Intelligence and Data Science), we offer several pathways that allow you to focus on the following specialisms:

Create your own projects

The degree is hands-on and practical from the start. You'll be creating your own web and mobile applications, data visualisations, and games. You'll also explore your potential through practical projects whilst learning relevant technical skills for your future career.


In your third year, you’ll have the opportunity to take a full-year industry placement (making this programme four years full-time, or seven years part-time).

This gives you valuable experience to build confidence, further develop skills and industry insight, and enhance your career prospects. By the end of your degree, you’ll have built a portfolio of work to kickstart your career in the creative industry.

MSci study route

Depending on your academic results, you’ll also have the opportunity to continue your studies to MSci level. This will give you an undergraduate master’s level qualification, and let you delve deeper into your chosen specialism. You can find out more about the MSci study route in the programme specification. Please note - our MSci pathways will not be running for the 2023-2024 academic year.

Contact the department

If you have specific questions about the degree, contact Dr Edward Anstead.

What you'll study

Year 1

In your first year, you'll take the following compulsory modules:

Module title Credits
Introduction to Programming 15 credits
User Experience and the Web 15 credits
Logic and Computer Architecture 15 credits
Computing Project 1 15 credits
Graphics 1 15 credits
Algorithms 1 15 credits
Identity, Agency & Environment 1 15 credits
Identity, Agency & Environment 2 15 credits

Year 2

Compulsory modules

In your second year, you'll take the following compulsory modules.

If you are a Direct Entry applicant and will be joining the degree in the 2nd year, you will also need to take the module 'Fundamentals of Computer Science'.

Module title Credits
Software Development and Design 15 credits
Computing Project 2 15 credits
Object Oriented Programming 15 credits
Data Programming for Artificial Intelligence 15 credits
Algorithms 2 15 credits
The Goldsmiths Elective 15 credits

Optional modules

You'll then take 30 credits of optional modules (15 credits for Direct Entry students) from the following list:

Module title Credits
Networks and Operating Systems 15 credits
Information Security 15 credits
Goldsmiths’ Social Change Module 15 credits

Optional placement year

Our degrees include an optional industrial placement year after the second year of study. You'll be responsible for securing a placement, but we can support you through this process. 

Although we encourage you to take the opportunity of a placement year, you can also complete your degree in three years.

Year 3 (or year 4 with placement year)

In your final year, you'll complete the following compulsory modules, including a project in Computer Science.

Module title Credits
Final Project in Computer Science 45 credits
Artificial Intelligence 15 credits
Neural Networks 15 credits
Machine Learning 15 credits
Data Mining 15 credits


You'll then use your remaining 15 credits to take an optional module from a list provided annually by the Department of Computing.

Teaching style

This programme is taught through a mixture of lectures, tutorials, workshops and laboratory sessions. You’ll also be expected to undertake a significant amount of independent study. This includes carrying out required and additional reading, preparing topics for discussion, and producing essays or project work.

The following information gives an indication of the typical proportions of learning and teaching for each year of this programme*:

  • Year 1 - 22% scheduled learning, 79% independent learning
  • Year 2 - 22% scheduled learning, 78% independent learning
  • Optional placement year - 100% placement
  • Year 3/4 - 21% scheduled learning, 79% independent learning

How you’ll be assessed

You’ll be assessed by a variety of methods, depending on your module choices. These include coursework, examinations, group work and projects. If you opt for an industrial placement year, your placement tutor will assess your work. If you complete the placement year successfully, you earn the endorsement 'with work experience' on your degree certificate.

The following information gives an indication of how you can typically expect to be assessed in each year of this programme*:

  • Year 1 - 45% coursework, 50% written exam, 5% practical
  • Year 2 - 63% coursework, 38% written exam
  • Year 3/4 - 88% coursework, 13% written exam

*Please note that these are averages are based on enrolments for the traditional pathway in 2020/21. Each student’s time in teaching, learning and assessment activities will differ based on individual module choices. Find out more about.

Credits and levels of learning

An undergraduate honours degree is made up of 360 credits – 120 at Level 4, 120 at Level 5 and 120 at Level 6. If you are a full-time student, you will usually take Level 4 modules in the first year, Level 5 in the second, and Level 6 modules in your final year. A standard module is worth 30 credits. Some programmes also contain 15-credit half modules or can be made up of higher-value parts, such as a dissertation or a Major Project.

Download the programme specification.

Please note that due to staff research commitments not all of these modules may be available every year.

Entry requirements

We accept the following qualifications:

A-level: BBB
International Baccalaureate: 33 points overall with Three HL subjects at 655
Access: Pass with 45 Level 3 credits including 30 Distinctions and a number of merits/passes in subject-specific modules
Scottish qualifications: BBBBC (Higher) or BBC (Advanced Higher)
European Baccalaureate: 75%
Irish Leaving Certificate: H2 H2 H2 H2

Additional requirements

If you do not have a Science or Mathematics-based A-level, you should normally have at least Grade B/Grade 6 at GCSE Mathematics. 

If you are a University of London student of Computing you may transfer onto the second or third year of this degree.

International qualifications

We also accept a wide range of international qualifications. Find out more about the qualifications we accept from around the world.

If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.0 no element lower than 5.5 to study this programme. If you need assistance with your English language, we offer a range of courses that can help prepare you for degree-level study.

Fees & funding

Annual tuition fees

These are the fees for students starting their programme in the 2023/2024 academic year.

From August 2021 EU/EEA/Swiss nationals will no longer be eligible for 'Home' fee status. EU/EEA/Swiss nationals will be classified as 'International' for fee purposes, more information can be found on our fees page.

  • Home - full-time: £9250
  • International - full-time: £20160

If you choose to do a placement year, the fee for this year will be different to that listed above. Please contact the Fees Office for details.

If your fees are not listed here, please check our undergraduate fees guidance or contact the Fees Office, who can also advise you about how to pay your fees.

It’s not currently possible for international students to study part-time under a student visa. If you think you might be eligible to study part-time while being on another visa type, please contact our Admissions Team for more information.

If you are looking to pay your fees please see our guide to making a payment.

Additional costs

In addition to your tuition fees, you'll be responsible for any additional costs associated with your course, such as buying stationery and paying for photocopying. You can find out more about what you need to budget for on our study costs page.

There may also be specific additional costs associated with your programme. This can include things like paying for field trips or specialist materials for your assignments. Please check the programme specification for more information.

Funding opportunities

We offer a wide range of scholarships and bursaries, and our careers service can also offer advice on finding work during your studies. Find out more about funding your studies with us.


After your degree

The ever-growing demand for technologists in all industries means you will have many career options available to you after this degree. Our graduates have gone on to work in software engineering, data analysis, machine learning, finance, telecommunications, and user interface design. This programme is also a pathway into Masters-level study in a variety of computing disciplines.