BSc (Hons) Computer Science (Artificial Intelligence and Data Science) Bachelor's degree at Goldsmiths, University of London
BSc (Hons) Computer Science (Artificial Intelligence and Data Science) at GUL covers core computer science alongside focused study in AI, machine learning, and data science methods.
About this course
BSc (Hons) Computer Science (Artificial Intelligence and Data Science) is a Bachelor's degree (BSc (Hons)) at GUL, based in Goldsmiths College. It runs 3 years, studied full-time.
For Computer science graduates from this provider, 74% were in work or further study 15 months after graduating, 75% in highly skilled roles, typical earnings around £30,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, see the sections below.
Course evidence score
The arithmetic mean of the official measures available for this course: NSS satisfaction, graduate activity and continuation.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Limited evidence Published sample: 15; treat comparisons cautiously. Cohort 2022-23. Graduate Outcomes work or further study 74% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 77% (2022-23; Discover Uni snapshot 2026-06-21)
Curriculum & modules
Real modules published for this course, grouped only where the source gives a year, stage or level.
Year 1 8 modules
- Introduction to ProgrammingCompulsory15 credits
Module details
This module will introduce you to the fundamentals of programming and object orientation, including the following basic ideas of programming: variables memory and assignment statements control through conditional statements, loops functions and procedures objects and classes instance variables and methods arrays user interaction interaction between objects.
- Front End WebCompulsory15 credits
Module details
This module will introduce you to the basic concepts essential in the design and implementation of client-side web-based applications. We'll cover a basic introduction to the Web, followed by more detailed lectures and labs on current good practice with technologies such as HTML5, CSS3 and JavaScript.
- Logic and Computer ArchitectureCompulsory15 credits
Module details
This module will give you a foundation in the fundamental workings of computer systems and how they represent data. This stems from fundamental mathematical principles such as binary number bases and Boolean logic and applies these to the design of computing hardware and finally to data representation in the form of a wide variety of formats. You'll end with a taste of the most cutting-edge uses of data in the form of a first introduction to machine learning, the foundation of modern Artificial
- Computing Project 1Compulsory15 credits
Module details
This module is aimed at novice programmers who have learnt some basic programming techniques. The course builds on this knowledge by developing your ability to combine short segments of code to create larger projects. You'll begin by developing their knowledge of object-oriented programming through learning about principles such as encapsulation and abstraction. You'll be presented with existing code and designs which you'll explore, complete and debug. You'll build upon an example application i
- Graphics 1Compulsory15 credits
Module details
In this module, you'll explore the perceptual and technical fundamentals of graphics computing. Topics include: fundamentals of visual perception: basic colour theory, perspective, and animation manipulating images for creative contexts image processing the application of 2D and 3D geometry for animation and interaction creating simple physics simulations. You'll apply this knowledge through a series of practical and creative exercises undertaken throughout the module using an appropriate progra
- Algorithms 1Compulsory15 credits
Module details
This module will introduce you to the analysis and design of algorithms. In particular, you'll learn how to classify algorithms in terms of their computational resource consumption, how to solve efficiently classical problems from computer science and how to apply design techniques to build new algorithms.
- Identity, Agency & Environment 1Compulsory15 credits
Module details
In this module, subtitled 'Everything is a Text', you will consider the value of different types of texts and ways of imparting knowledge and ideas. You will reflect upon your identities as learners and future professionals in the world, considering a range of contexts: the academic/educational context, personal settings and the eco-systems that you live and work in. These reflections will be used to inform your practices as academic learners. You will explore academic literacies, different ways
- Identity, Agency & Environment 2Compulsory15 credits
Module details
This module, subtitled 'Researching Our World & Lives', builds on the conceptual and contextual foundations of Identity, Agency and Environment 1. You will learn how to conduct academic research and will be offered the opportunity to broaden and deepen your understanding of the relationship between your own interests, skills, values, career and non-career aspirations, the concepts, theories and contexts of your discipline, and the world. You will reflect upon your identities as researchers, and
Year 2 4 modules
- Software Development and DesignCompulsory15 credits
Module details
This module aims to advance your software development skills so that you can write more robust and complicated programs. You'll learn how to use a range of programming techniques that will allow you to deal with unwanted or unexpected events that might happen when your application is running. You'll use defensive coding to check data before processing it, and exception handling to gracefully manage unforeseen or unwanted occurrences. You'll learn how to discuss program structure concerning cohes
- Computing Project 2Compulsory15 credits
Module details
This module builds on the skills developed in Computing Project 1 by giving students the opportunity to work in a group on a medium scale software project of their choosing. Students will enact the entire software production process, from user-centred design to proposal development and implementation. By focusing on user-centred design, this module re-enforces skills in project management, planning, critical awareness and design. Term one activities centre around project preparation. Students re
- Object Oriented ProgrammingCompulsory15 credits
Module details
This module will introduce you to Java for the first time whilst building on the programming techniques covered in your first year of study. Through learning about more advanced concepts within object orientation, you'll be able to design and implement large-scale computer programs. Topics covered include Types, Conditionals and Iteration, Methods, Exception handling, I/O, Classes, Inheritance, Abstract Classes and Interfaces. Throughout the module, there will be a focus on developing your skill
- Data Programming for Artificial IntelligenceCompulsory15 credits
Source: provider course page. Modules can change; required/optional status, credits, descriptions and assessment are shown only when explicitly published.
Course in depth
What this course covers, who it suits and where it leads.
What you'll study
You'll study Computer Science with a focus on artificial intelligence and data science. A course like this typically begins with programming fundamentals (imperative and object-oriented approaches), computer systems architecture, and discrete mathematics. In Year 2, you'll move into algorithms and data structures, databases and software engineering, and core artificial intelligence and machine learning topics. Year 3 introduces specialist options such as cybersecurity, human-computer interaction, systems and networks, software engineering, and advanced machine learning, alongside security, networks, and a substantial individual project. Throughout, the curriculum bridges foundational theory with practical implementation and real-world problem-solving.
Who it's for
This course suits those with a strong interest in how artificial intelligence and data science shape modern computing. Most accepted students held A-levels or equivalent qualifications; the typical UCAS tariff among entrants was 96–111 points. You'll need to be comfortable with mathematical and logical thinking, and prepared for a demanding technical curriculum. The course is taught in English. Goldsmiths has around 8,836 students across all programmes, offering a substantial academic community without the Russell Group designation.
Careers & job market
Across Computer Science courses nationally, 85% of graduates are in work or further study within 15 months of graduating, with 75% of working graduates in highly skilled roles or continuing study. National earnings data shows Computer Science graduates starting at £25,000–£35,000 (15 months post-graduation), rising to £29,750–£42,000 after five years. These figures reflect sector-wide outcomes, not individual guarantees.
University & format
This degree is offered at Goldsmiths, University of London, a public university founded in 1891. The BSc (Hons) Computer Science (Artificial Intelligence and Data Science) is a 3-year full-time course taught in English. Goldsmiths is a recognised UK degree-awarding body; this qualification is nationally recognised. The university received a Bronze teaching quality rating in the Office for Students' TEF 2023.
Student satisfaction
How students on this course answered the National Student Survey, by theme.
Share of students responding positively.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Applicant information
The next application dates for this course, followed by facts the provider publishes.
- 2027 entryCompleted applications can be submitted
Your application needs a reference before you can send it.
- 2026 entryFinal date for 2026 applications
Applications must reach UCAS by 18:00 UK time.
- 2026 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
- 2027 entryEqual-consideration deadline
18:00 UK time for most undergraduate courses.
Show 5 later dates
- 2027 entryUCAS Extra opens
Applicants who used all five choices and hold no offer may be able to add another choice.
- 2027 entryLast day applications go directly to providers
Applications received after 18:00 UK time are entered into Clearing.
- 2027 entryClearing opens
Eligible applicants can see vacancies and release themselves into Clearing.
- 2027 entryFinal date for 2027 applications
Applications must reach UCAS by 18:00 UK time.
- 2027 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
Provider-published requirement; check the linked course page before applying.
Placement year. Availability, selection and pay can vary.
See and book current events. Dates can fill or change.
Entry & how to get in
Who gets in
What recently admitted students actually held, official admissions data, not a stated requirement.
UCAS tariff of entrants
Grades are the A-level equivalent of each points band. Tap a band to check your own chances below.
Qualifications held on entry
| Qualification | Share |
|---|---|
| A-levels or equivalent | 70% |
| another higher-education qualification | 20% |
| an Access course | 10% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Accepted students came in with a broad spread of qualifications and UCAS points. If you're worried about grades, this course has historically taken a wide range, and contextual offers may apply.
Will you get in? Plot your grades
Pick your predicted A-levels and watch your UCAS points land on the real spread of students admitted to this course.
Each bar is the share of admitted students in that UCAS-points band (lower → higher). Grades show the A-level equivalent.
Based on the official admitted-student tariff distribution. Many universities make contextual (reduced-grade) offers, so a result below the range doesn’t rule you out.
How to apply
Undergraduate applications go through UCAS. Here’s what matters for this course, the right deadline, the grades to aim for, and the steps in order.
- 1Register on UCAS Hub
Create your UCAS application and add this course (code G4I4). One application covers up to five choices.
- 2Write your personal statement
A single statement covers all your choices, so keep it broad enough for similar courses while showing genuine interest in this subject.
- 3Submit by 13 January 2027, 18:00 UK time
UCAS equal-consideration deadline for most undergraduate courses. Source: UCAS 2027 dates.
- 4Reply to your offers
When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.
- 5Results day & confirmation
On results day (mid-August) your place is confirmed if you meet the offer. Just missed? Talk to the university, or find a place through Clearing.
Fees & funding
What this course costs and how UK student finance covers it.
Tuition per year
Provider fee page (England 2026/27 cap where not stated).
Check fees at GUL →For students who normally live in England
2026/27 Student Finance England figures. Maintenance support is means-tested and this two-point view is not an entitlement calculator. The course total uses its published length and home fee where both are available; a missing full-time fee uses the clearly labelled England-cap scenario, while part-time fees and unknown lengths are never guessed. Use the official calculator. Scotland, Wales and Northern Ireland use separate systems: SAAS, Student Finance Wales, and Student Finance NI.
Starting on or after 1 January 2027?
The Lifelong Learning Entitlement is a separate system. A new learner’s tuition entitlement is currently stated as £39,160 (about 480 credits at 2026/27 fee levels), subject to prior study and eligibility. Check the official LLE guide.
Paying for it
- Tuition Fee Loan: can cover eligible tuition up to the applicable limit and is paid straight to the provider.
- Maintenance Loan: up to £10,830/yr away from home outside London (England, 2026/27), means-tested on household income.
- Repayment: 9% of income above £25,000, nothing below it; written off after 40 years.
- Earn alongside: most students work part-time in term, part-time roles on the StudySmarter job board.
England figures shown; Scotland, Wales & NI run their own schemes, check gov.uk.
Scholarships & bursaries you could qualify for
That does not mean no funding exists. Check the university directory for current amounts, eligibility and application dates.
We only display a named award when its provider source identifies the award and who it is for.
Still deciding what to study?
StudyKit brings course choice, applications and funding together in one place, with a personal AI assistant. Find what really fits you and start your UCAS application step by step.
Careers & earnings
What Computer Science graduates actually earn, from real outcome data, 15 months, 3 years and 5 years after graduating.
Graduate earnings: this course
| When | Median | Typical range | Graduates |
|---|---|---|---|
| 15 months after | £30,000 | £27,000 – £38,000 | 15 |
| 3 years after | £31,500 | £25,500 – £41,000 | 85 |
| 5 years after | £38,000 | £30,500 – £57,500 | 85 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 15; treat comparisons cautiously. Cohort 2022-23.
Graduate outcomes, 15 months on: this course
- 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
- 2Software EngineerShipping features end-to-end · 2–5 yrs
- 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
- 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs
How pay grows: this course vs Computer Science nationally
National figures for Computer Science graduates, HESA Graduate Outcomes (15 months) and the Longitudinal Education Outcomes (LEO) dataset (3 & 5 years). These are national, not university-specific; actual pay varies by employer, region, role and experience. Different cohorts, so the bars are not one group over time.
Work out your pay
Headline figures hide a lot. Calculate realistic take-home pay for this field by role, region and experience, then check your CV before you apply.
What happened to 100 students?
Choose an outcome to translate the published percentage into a simple 100-person view. Each dot represents one percentage point, not an individual tracked student.
were in work or further study
15 months after graduation
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2022-23. Limited evidence. Published sample: 15; treat comparisons cautiously. Cohort 2022-23. Each tab is a separate published measure; categories can overlap and should not be added together.
Value compared with similar courses
How this course’s 5-year median earnings compare with Computer Science courses at the same study level.
Compared with 1,820 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.
UK occupations graduates enter
Published graduate destinations, joined conservatively to UK SOC 2020, ONS pay and Skills England demand.
- Information Technology ProfessionalsSOC 2020 213 · 35% of published destinations · ASHE median £55,357
- Business and public service associate professionalsSOC 2020 35 · 10% of published destinations · ASHE median £38,760
Discover Uni JOBLIST/JOBTYPE; ONS ASHE 2025 provisional, all employee jobs; Skills England Occupations in Demand 2025. SOC is shown only for an exact normalised label match; demand is shown only at exact four-digit SOC. Published sample: 95; response rate: 60%. Pay describes the occupation across workers, not a guaranteed graduate salary.
Job market & outlook
How Computer Science graduates fare in the labour market, and how AI is reshaping the work.
How AI is changing the work
AI doesn't replace the profession, it shifts it: routine tasks get automated, while judgement, working with people and using AI well become more valuable.
What AI takes off your plate
- Boilerplate and scaffolding code
- First-pass tests and docs
- Routine debugging and refactors
- Standard data wrangling
More human than ever
- System design and architecture trade-offs
- Reviewing and owning correctness & security
- Translating fuzzy problems into software
- Leading delivery and mentoring
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Computer Science graduates typically go, indicative destinations from graduate career data. Each role links to live openings on the StudySmarter job board.
Roles graduates go into
Where they work
- Tech companies
- Banks & fintech
- Consultancies
- Government (GDS) & startups
Jobs after this course
Current roles from the StudySmarter job board that suit Computer Science graduates.
Software Developer Placement Programme No experience neededIT Online LearningSoftware Developer - .NET & Azure for Green Energy ProjectsOfgemSoftware Developer Backend (SFIA5)ZaiziSoftware Developer (Mobile Apps) in Guildford - ECM Selection (Holdings) LimitedJava Script WorksSoftware Developer (Contract) – Higher Education Projects (UK)Burman RecruitmentSoftware Developer – Distributed Scheduling & Workload OrchestrationCGG Services (UK) LimitedIs this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
Student finance
For comparison, the standard full-time England tuition cap is up to £9,790 per year in 2026/27; the actual fee varies by course and provider. If you normally live in England, eligible students can apply for a Tuition Fee Loan, plus a Maintenance Loan for living costs. Under Plan 5 you repay 9% of income above £25,000, nothing below that, and the balance is written off after 40 years.
Where graduates go
74% were in work or further study 15 months after graduating, with a median salary of £30,000. See the full breakdown in Careers & earnings above.
Your entry chances
Use the UCAS points calculator above to see how your predicted grades compare with admitted students, and whether a contextual offer could apply.
Official-data snapshot
Averaging the official measures published for it, this course scores 7.5 out of 10: NSS 74.6% · in work or study 74% · continued 77%.
Who studies here and in this subject?
Provider- and UK subject-level context.
Goldsmiths College
Computing across the UK
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around Goldsmiths College
754 street-level reports returned within roughly one mile across 2026-04 to 2026-06.
Police.uk street-level API. Approximate locations, not confined to campus. England, Wales and Northern Ireland; not Scotland.
Is Computer Science right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to GUL from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is £23,000 / year for this course (from the provider’s fee page). You’re not eligible for UK Tuition Fee or Maintenance Loans, so plan for fees plus living costs upfront.
English language
Most UK undergraduate courses ask for around IELTS 6.0–6.5 (no band below 5.5–6.0), or an accepted equivalent. If you’re just short, most universities run a pre-sessional English course that counts towards the requirement.
Student visa
You’ll usually need a Student visa (Student Route). After you accept an offer the university issues a CAS; you then show funds for fees plus about £1,023–£1,334/month living costs and pay the Immigration Health Surcharge for NHS access.
Scholarships & funding
Many universities offer international/global scholarships (often £2,000–£6,000/yr), check GUL’s funding pages.
Living costs
Budget roughly £1,100–£1,400/month outside London and £1,400–£1,800/month in London for rent, food and travel; the figure also matters for your visa.
Working while you study
A Student visa usually allows up to 20 hours/week in term time and full-time in holidays, useful alongside study, though not something to rely on for fees.
Visa rules and fees change. Always confirm the current requirements with GUL and gov.uk before you apply.
Related courses
More at GUL
Common questions
How competitive is entry?
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