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Machine Learning and Artificial Intelligence

BSc Computer Science

Machine learning and artificial intelligence are starting to play far bigger roles in our daily lives. They are used in digital assistants that respond to our voices, self-driving cars and adaptive education systems.

This degree is designed to help you to meet this demand and become a part of the future of this technology. The programme is delivered through Coursera, the world's largest online learning platform, providing an interactive and immersive learning experience.

computer-science-machine-learning-AI
'We bring a unique project-based style of teaching, even if you study the course online'

By studying this degree you will:

  • gain the mathematical and engineering knowledge to construct working machine learning and AI systems.
  • learn how machines make sense of the world through intelligent signal processing.
  • carry out a substantial practical project where you’ll construct an AI system and apply it to a problem.
     

Course details

BSc Computer Science (Machine Learning and Artificial Intelligence)

All Level 4 and 5 modules are compulsory. At Level 6 there are a broad range of options to choose from.

To specialise, you must take 5 compulsory specialist modules and an elective from any specialism.

  • During Level 4, you learn the fundamentals: how computers work, how to programme and more about the mathematics that underpins computer science.
  • During Level 5, you deepen your programming skills to consider software projects and explore specialist topics such as Graphics Programming and Data Science.
  • During Level 6, you take modules that are geared towards Machine Learning and Artificial Intelligence and an elective from any other specialism.

You must also undertake a 30 credit project, which combines your knowledge and skills to create a software system.

View the Machine Learning and Artificial Intelligence structure.

Other specialisms of the BSc Computer science are:

April 2019 intake

Application opens07 January
Application deadline11 March
Registration deadline18 March

You can study this online programme from anywhere in the world (except Crimea, Cuba, Iran and Sudan). You receive comprehensive learning materials and a choice of tuition options.

Local teaching support

Our courses are designed to be studied independently with online support from the University of London, but if you would like to attend classes, you can enrol at one of our approved local teaching centres around the world.

We will be updating this section with the latest information on where you can benefit from local study support and the facilities of a campus-style environment.

Study materials

Once you register, you will be able to access a range of resources and study materials on computers, tablets and other mobile devices through a Virtual Learning Environment. This learning platform is provided by Coursera, one of the world's leading MOOC providers.

Online support

When you register, we will give you access to your Student Portal. You can then access your University of London email account and two other key resources:

  • The Virtual Learning Environment (VLE). Here, you can access electronic copies of all printed study materials, resources including audio-visual, and forums to discuss course material and work collaboratively with others.
  • Access to academic support and feedback from London-based support teams. Tutors introduce the modules, respond to queries, monitor discussions and provide guidance on assessments. There will be interactive and engaging study materials including videos, quizzes and online games, so you can feel confident about your progress.

Assessment

Assessment for this degree includes coursework, portfolios, and written exams. Your final grade for each module is based on a weighting of these assessments (e.g. 50% coursework, 50% exam). You can sit exams at any of our approved centres worldwide.

More about exams.

What qualifications do you need?

For direct access to the BSc Computer Science degree, you will usually meet the following criteria:

  • Age 17+ by the registration deadline of your enrolment session.
  • GCSE Mathematics (Grade A*-B / 9-5) or AS Level Mathematics (A-E), or equivalent.
  • Satisfy our General Entrance Requirements.

For access by Performance-Based Admission:

If you do not meet the academic requirements for direct entry, you can apply for the programme via the performance based admission route. 
To be eligible to register, you must normally:

  • Age 17+ by the registration deadline of your enrolment session
  • Have passed at least four separate subjects at GCSE level, with grades A* - C / 9 - 4, or the equivalent.
  • Work experience (considered on an individual basis).

If registering through the performance based route you must satisfy the following before progressing onto the direct entry:

  • Pass both Introduction to Programming I and either Numerical or Discrete Mathematics with a weighted average of 40% or above.

English Language requirements

You need to demonstrate a good level of English to be admitted to our programmes. We accept a range of evidence, including proficiency test scores. If you don’t have evidence but believe you can meet the standard, we may consider your case.

Do I meet the language requirements?

Computer requirements

As this is a technical course, you will need access to suitable IT facilities. For this degree, you will also need Adobe Flash Player to view video material and a media player (such as VLC) to play video files.

More about computer requirements.

You may also require additional capabilities and software for specific modules, such as:

  • Video and audio recording.
  • Programmer’s text editor such as Atom; integrated development environment software (IDE).
  • Additional software: Xamarin and Games development; 3D Graphics and Animation, and Virtual Reality all use Unity3D.
  • Access to hardware: Android or iOS device; VR Head mounted display and a microcontroller like Arduino.

See the programme specification for details.

Can I transfer credits from other awards?

If you have studied material as part of a previous qualification that is comparable in content and standard, you might be exempted from the equivalent course of our degree. This is known as Recognition of Prior Learning (RPL), Credit Transfer or Exemption.

More about Recognition of Prior Learning.

The fee for our Computer Science degree depends on two factors:

  • Whether you choose web-supported or institution-supported learning.
  • Whether you live in a developing (Band A) or developed (Band B) nation.
Pay as you go2018-2019
Module fee for web-supported learning, Band A£400
Module fee for web-supported learning, Band B£600
Module continuation fee (per module)£200
Other fees 
Application fee for Recognition of Prior Learning£98
See the list of Band A and B countries [PDF] 

Disclaimer: Currency conversion tool.

Indicative totals2018-2019
Indicative total* Band A for web-supported learning£10,088
Indicative total* Band B for web-supported learning£15,132

* Indicative totals are for web supported learners only. They reflect average annual fee increases and assume that you complete the qualification within the minimum time without re-sits and Accreditation of Prior Learning (which would require additional fees). Additional costs you would also need to budget for would be examination centre fees.

How fees work

Your fees include study materials and entry into assessments.

With pay-as-you-go, you pay for each module as you register for it. The ‘web-supported learning’ fee includes support from a University of London online tutor. Alternatively, if you prefer face-to-face tuition, you can pay a smaller fee to us and a separate fee to a teaching centre which supports the programme.

The module continuation fee is the cost per module if you defer an examination or need to retake assessments. It includes all study materials, entry into assessments, and online tutor support.

Additional Costs

You will also need to budget for:

  • Exams: our approved examination centres around the world charge a fee when you sit an exam. Contact your chosen examination centre for details about costs.
  • Tuition: as described, teaching centres charge for face-to-face tuition if you choose to take modules with institution-supported learning.

How to pay your fees.

On 1 July 2017 a Goods and Services Tax (GST) [external website] was introduced in India which applies to online services. From 1 August 2019, the University will be required to add GST at the statutory rate of 18% to its programme fees for new and continuing students resident in India.

Machine learning provides a means for computer systems to extract useful information out of data. These techniques are widely used in the technology industry for a variety of applications, for example, recommending music and other products to people, identifying faces in photos and predicting trends in financial markets. 

With the BSc Computer Science (Machine Learning and Artificial Intelligence), you will be able to apply for a range of technical, problem-solving jobs in a rapidly growing area. Companies and institutions are applying ML and AI to a wide range of problems in business, finance, medicine, education, video games, engineering and science as well as new application areas such as music and other creative work. A typical job title is machine learning engineer.

Academic direction for the BSc Computer Science is provided by the Department of Computing at Goldsmiths, one of the UK’s top creative universities. Goldsmiths' unique hands-on project-based style works for a diverse range of interests - from computer and data science to art and music to social science and journalism.

Its multi-disciplinary staff are actively involved in a wide range of innovative applications of computer science. Research and teaching includes computer science but also extends to more surprising topics, including computational art, virtual reality, computer music, digital sociology and education technology.

Programme Director

Dr Matthew Yee-King is an academic in the Department of Computing at Goldsmiths. As the project manager for the €3m PRAISE research project, he managed the development and trialling of innovative education technology, including media annotation systems. He has also carried out research into audio analysis and creative applications of machine learning, including a series of commissioned musical AI systems.

Without the cost of moving to London, studying for your University of London degree anywhere in the world represents excellent value for money. However, there are additional sources of support depending on where you live and how you choose to study.

More on funding your study.

Goldsmiths welcomes applications from students who wish to transfer to an on-campus degree.

To complete your degree in two years of full-time study at Goldsmiths, you must have completed eight Level 4 modules successfully. To complete your degree in one year of full-time study at Goldsmiths, you must also have completed eight modules at Level 5.

If you are interested in transferring to Goldsmiths and have successfully completed the required courses (or expect to do so in your intended year of transfer), please contact the Computing Team.