BSc (Hons) Computer Science (Artificial Intelligence & Data Science)

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

• In this BSc Computer Science pathway, you'll develop and understand cutting-edge machine learning models, alongside their implications. You'll also get to grips with the theoretical underpinnings and implementation of machine learning.
• You'll develop key skills in applying datasets to a range of models including deep learning neural networks, and applying models to a range of divergent problems.
• You'll also explore the ethical and social implications of the deployment of machine learning models, and consider their limitations and validity.
• You'll learn how to extract useful information from large collections of data, using software mining techniques.
• 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 will explore your potential through these practical projects while learning relevant technical skills for your future career.
• In your third year, you'll have the opportunity to undertake a year-long industry placement (making this programme four years full-time, or eight years part-time). This gives you valuable experience to build confidence and contacts, further develop your skills and industry insight, and enhance your career prospects.

Contact the department

If you have specific questions about the degree, contact Sean McGrath or Prashanth Thattai Ravikumar.

We accept the following qualifications:

A-level: BBB
BTEC: DDM
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.

Transfers

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

Alternative qualifications and experience

See our full list of undergraduate entry qualifications.

We welcome students with a range of educational experiences. If you believe you may not meet the standard qualification requirements we would still encourage you to apply because we consider all aspects of your application when making a decision.

We’ll pay particularly careful attention to your personal statement, which is your opportunity to demonstrate your interest in the subject you’ve applied for. Your referees are also welcome to include any relevant contextual comments around your academic achievements. We’ll look at all these things when making a decision on your application, as well as your qualifications and grades, and may still be able to offer you a place.

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 with 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.

The explosive and ever-growing use of technology in business and enterprise means that there are a whole range of different career possibilities for computer science graduates.

In terms of job opportunities and salaries, the IT sector is well ahead of most other industrial and commercial sectors.

Where do Goldsmiths computing graduates work?

Some of the recent graduate-level careers for computing alumni have included:

• Software engineer
• Data analyst
• Machine learning developer
• User interface/user experience designer
• Mobile developer
• Full-stack web developer
• E-learning programmer
• Application programmer
• App developer
• Video game developer
• Film special effects and post-production
• Computer music/sound engineer
• Database manager

Employers include:

• FDM Academy
• HepcoMotion
• Jigsaw Systems Ltd
• KCom

The pace of change in the computing sector is rapid, and you may be pursuing careers and using digital methods we cannot yet imagine. You can read more about possible career options after you graduate on our computing careers page.

This programme is also a pathway into Masters-level study in a variety of computing disciplines.

Skills

Throughout the degree you will learn skills including:

• Programming skills, including those required to design and build business computing systems for internet and mobile environments, and those specifically for artificial intelligence
• An understanding of the fundamental methods, theories, techniques and technologies relating to the development of machine learning systems
• Critical, analytical, creative, reflective and interpersonal skills that will prepare you for a career in industry or research, including the ability to work independently and in groups
• An understanding of contemporary computing practice
• An awareness of the impact of your work, and the wider role computing technology plays in society
• The mathematical and computational principles underlying computing
• Computational problem solving
• Project management
• Teamwork and collaboration

You'll be supported throughout the programme to understand the different potential career journeys you can follow, and to build a portfolio of work to demonstrate your capability to gain employment or freelance work in that area.

Regular guest lectures from industry support the development of sector knowledge and awareness of different career paths.

Industrial placement year

If you decide to take the industrial placement year, you will develop the practical skills and real-world experience that is sought after by employers.

Some of the companies students have worked at during their work placement year recently include:

• Deutsche Bank
• IBM
• Accenture
• Wieden and Kennedy
• Stink Studios
• Random International