BSc (Hons) Data Science and Artificial Intelligence Bachelor's degree at East London
BSc (Hons) Data Science and Artificial Intelligence at East London is recognised as a UK degree-awarding body, ensuring your qualification holds national standing.
About this course
BSc (Hons) Data Science and Artificial Intelligence is a Bachelor's degree (BSc (Hons)) at East London. It runs 3 years, studied full-time.
For Computing graduates from this provider, 70% were in work or further study 15 months after graduating, 50% in highly skilled roles, typical earnings around £27,000. (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: 10; treat comparisons cautiously. Cohort 2022-23. Graduate Outcomes work or further study 70% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 100% (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.
Foundation Year 5 modules
- Mental Wealth and Professional FitnessCore
Module details
Develop the skills you need to confidently navigate your future career. You'll engage in real-world professional activities like networking simulations, mock interviews, and digital branding exercises, supported by industry guest speakers and career coaches. Practical sessions will sharpen your communication, research, and critical thinking abilities, while workshops will guide you in building a digital portfolio to strengthen your employability. Alongside hands-on experience, you'll map your ca
- Creative and Technology Industries Study SkillsCore
Module details
Build the academic and professional skills you need for success in the creative and technology industries. You'll develop key study techniques, including effective note-taking, research, academic writing, and digital communication. Through workshops, tutorials, and practical tasks, you'll boost your confidence as an independent learner and strengthen your ability to plan, organise, and deliver assignments. You'll also learn how to manage your time effectively, reference sources correctly, and ap
- Creative and Technology Industries Data SkillsCore
Module details
Strong numeracy and data-handling skills are vital in creative industries. In this module, you'll learn how to interpret graphs, solve problems using digital tools like spreadsheets, and present numerical information clearly. Practical exercises build your confidence with real-world scenarios, supporting your wider academic and professional development. By focusing on rational problem-solving and applied data skills, you'll strengthen your ability to work independently and collaboratively on fut
- Media and Communication SkillsCore
Module details
Understanding how media messages are created and interpreted is essential in today's digital world. This module introduces you to key frameworks for analysing visual media, while also building your ability to communicate ideas clearly and persuasively. You'll design an academic poster using professional software, develop critical thinking around cultural differences, and practise both oral and written communication for academic and industry contexts. A creative, skills-focused approach ensures y
- Computer Science in PracticeCore
Module details
A project-based approach is at the core of this module, helping you apply your knowledge to real computing and tech challenges. You'll work on software development, cybersecurity, hardware projects, or data science tasks, depending on your interest. Group work, project management, and professional communication are emphasised, alongside technical problem-solving. Continuous feedback will guide you as you prepare for higher-level computer science study, with a focus on producing professional-stan
Year 1 6 modules
- Information Systems Modelling and DesignCore
Module details
Develop skills and techniques required for analysing, modelling and designing information systems. Understand the legal, social, ethical and professional issues relating to information systems development. This core module enhances your knowledge of information systems modelling and design. Get a good understanding of the complex legal, social, ethical, and professional considerations central to information systems development and computer science. Through rigorous study and practical learning,
- Software DevelopmentCore
Module details
Gain the skills to design, implement and test software applications using a high-level programming language. The module is taught from first principles and assumes no prior knowledge. It focuses on programming fundamentals such as variables, control structures, arrays and procedural programming methodology. It then introduces the object-oriented programming concepts of objects, classes and inheritance. This module is a foundational exploration of computer science through the lens of software dev
- Web TechnologiesCore
Module details
The module will allow you to examine the requirements for web applications and to select appropriate tools and techniques with which to design and build them. You will be able to use those selected tools and techniques to design, implement and test web pages. You will be able to provide professional documentation for the web pages produced.
- Maths for ComputingCore
Module details
This module will help you build fundamental knowledge of mathematical concepts and skills that are required for the study and application of computer science and cyber security. This module starts with the basic arithmetic and algebraic concepts that are used in almost every aspect of computer science. This is followed by topics on logic which are fundamental concepts used in the functioning of computer hardware and design and programming of software. Computer science theory heavily relies on pr
- Computer Systems and NetworksCore
Module details
The module aims to provide a basic understanding of computer architecture. You will discover the relationship between hardware and software components of a computer system. You'll gain an understanding of the fundamentals of computer networking. The module delves into key concepts of computer science, ensuring you grasp the theoretical knowledge essential for navigating the complexities of modern computing systems and networks. You'll gain practical experience and hands-on skills. These will fur
- Mental Wealth; Professional Life 1 (IT Project Pitching)Core
Module details
Developing key professional skills is critical for successful graduate-level employment, entrepreneurship and career progression in the 4th industrial revolution. This module will help you to identify the skills, competencies and experience required for successful development in a range of future careers. You will recognise areas for your own personal and professional development through taught and workshop activities. Central to the process is for you to develop reflective skills, openness and
Year 2 6 modules
- Database SystemsCore
Module details
This module aims to provide you with the theoretical and practical knowledge that influences the design, implementation and applications of database management systems. It promotes the understanding of computer database systems in information management by providing technical skills that are required to deploy a database management system using various languages and tools that can be used within game development.
- Data Structures & AlgorithmsCore
Module details
This module builds upon the foundational programming skills you have already learned. You will look at how to distinguish between, use and build a range of advanced data structures such as queues, stack and trees. You'll gain conceptual knowledge of the analysis, design and implementation of algorithms, such as sorting and searching, for solving complex problems. As part of your computer science course, you'll gain practical experience in applying these advanced data structures and algorithms to
- Artificial IntelligenceCore
Module details
This module investigates methods of state-of-the-art and research trends in Artificial Intelligence and related topics. In particular, the module introduces AI from machine learning to biologically inspired AI systems. This provides students with knowledge of the principles and applications of AI systems, and promotes appreciation of the current state of development in this area.
- Mental Wealth; Professional Life 2 (Computing in Practice)Core
Module details
In this core module, you will engage with the abstract in computer science. At the same time, you will develop fundamental professional skills key to thriving in the 4th industrial revolution. Through a blend of taught sessions and practical experiences, you will gain the skills necessary for job applications within the IT sector. You'll also gain insights into the abstract concepts inherent in computer science. By reflecting on strategies for personal and professional development, you'll furthe
- Business Intelligence AnalysisCore
Module details
This module provides you with knowledge of the current trends in business intelligence analysis techniques and related topics. It will expose you to the skills, techniques and programming tools that yield the current industrial standards for data analysis.
- Programming for Data ScienceCore
Module details
This module provides students with the skills necessary to prepare, cleaning and data manipulation using commercial use programming language. The module builds on fundamental programming skills taught at level 4 and focuses on a programming language suited for data science tasks and the essential libraries within the programming language for completing data science tasks.
Optional Placement 1 modules
- Optional placementCore
Module details
This course offers the opportunity of year-long placement
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 the theory and practice of computing from foundations through to specialist application. A course like this typically begins with programming fundamentals, imperative and object-oriented languages such as Python and Java, alongside computer systems and discrete mathematics. Year 2 moves into algorithms, data structures, databases and software engineering, with a dedicated focus on artificial intelligence and machine learning. Year 3 opens specialisation options including artificial intelligence, cybersecurity, data science, software engineering, systems and networks, or human-computer interaction. Throughout, you'll progress toward an individual project: a substantial supervised software build in which you design, implement and evaluate a real system.
Who it's for
This course suits those with strong analytical and technical interests who want to develop expertise in data science and artificial intelligence. Most accepted students held A-levels or equivalent qualifications; the typical UCAS tariff band among recent entrants was 80–95 points. You should be prepared for rigorous technical study and problem-solving across computing disciplines. The university also offers bursaries and scholarships. Check the university's funding pages for details.
Careers & job market
Across Computer Science courses nationally, 85% of graduates are in work or further study within 15 months of graduating. Of those working, 75% are in highly skilled roles or continuing their studies. National earnings data shows Computer Science graduates typically earn £25,000–£35,000 at the 15-month point, rising to £29,750–£42,000 after five years. These figures reflect national outcomes; individual circumstances vary. First-year continuation stands at 85% across the institution.
University & format
The University of East London is a public university founded in 1970, located in London. This BSc (Hons) Data Science and Artificial Intelligence runs full-time over 3 years, taught in English. The degree is a nationally recognised UK qualification from a recognised degree-awarding body. Teaching quality has been rated Silver 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.
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 | 90% |
| another higher-education qualification | 5% |
| No / unknown prior qualifications | 5% |
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 I400). 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 East London →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 | £27,000 | £25,000 – £29,000 | 10 |
| 3 years after | £22,500 | £16,500 – £31,000 | 130 |
| 5 years after | £26,500 | £20,000 – £37,500 | 150 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 10; 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: 10; 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 · 15% of published destinations · ASHE median £55,357
- Elementary occupationsSOC 2020 9 · 10% of published destinations · ASHE median £19,087
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: 50%. 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.
Is 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
70% were in work or further study 15 months after graduating, with a median salary of £27,000. 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 8.9 out of 10: NSS 98.6% · in work or study 70% · continued 100%.
Who studies here and in this subject?
Provider- and UK subject-level context.
The University of East London
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 University of East London
1,002 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 East London from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is £15,560 / 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 East London’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 East London and gov.uk before you apply.
Related courses
More at East London
Common questions
How competitive is entry?
What are the entry requirements?
What do graduates go on to do?
What will it cost me?
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