22Jun
UndergraduateGoldsmiths, University of London has participated in the Teaching Excellence Framework.These ratings were awarded in 2023, for four years.
Open days
Course summary
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 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.
Modules
Year 1 In your first year, you'll take the following compulsory modules: Introduction to Programming User Experience and the Web Logic and Computer Architecture Computing Project 1 Graphics 1 Algorithms 1 Identity, Agency & Environment 1 Identity, Agency & Environment 2 Year 2 In your second year, you'll take the following compulsory modules: Software Development and Design Computing Project 2 Object Oriented Programming Data Programming for Artificial Intelligence Algorithms 2 Fundamentals of Computer Science The Goldsmiths Elective Optional modules You'll then take 2 optional modules from the following list: Networks and Operating Systems Information Security Goldsmiths’ Social Change Module 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. The industrial placement year is a great opportunity for you to gain work experience, build confidence and contacts, develop your skills and industry insight, and enhance your career prospects. You'll be supported throughout your placement year by a placement tutor, who will provide you with guidance and liaison between you and your employer. 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: Final Project in Computer Science Artificial Intelligence Neural Networks Machine Learning Data Mining You'll then use your remaining 15 credits to take an optional module from a list provided annually by the Department of Computing. *Please note that due to staff research commitments not all of these modules may be available every year.
Assessment method
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.
How to apply
31Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G4I4
- Institution code:
- G56
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
This course may be available at alternative locations, please check if other course options are available
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - BBB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDM
Access to HE Diploma - D: 30 credits
Scottish Higher - BBBBC
Scottish Advanced Higher - BBC
International Baccalaureate Diploma Programme - 33 points
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017) - H2, H2, H2, H2
T Level - M
If you do not have a Science or Mathematics-based A-level equivalent, you should normally have at least Grade B/Grade 6 at GCSE Mathematics.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | With no element lower than 5.5 |
English Language Requirements
Student Outcomes
Operated by the Office for Students
Employment after 15 months (Most common jobs)
Go onto work and study
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
To find out more about fees and funding, please check our undergraduate fees guidance or contact the Fees Office https://www.gold.ac.uk/ug/fees-funding/
Provider information
Goldsmiths, University of London
New Cross
Lewisham
SE14 6NW