Course name
University name or location
Topic or category
Find a course
Search, shortlist and compare thousands of courses to find that perfect one.
Where to study
See what makes a university special and discover where you belong.
Find a university
Search by name or city.
Get Advice
Get tips, tricks and wise words from students and experts at each stage.
Browse advice
A-level choices
Accounting personal statement examples
Law degree
Revision help
Oxbridge applications
Ucas application
Student life
Student finance
Browse all advice
Popular right now
A-level results day 2026: what to expect
Btec results day 2026: what to expect
Clearing and results day 2025: prepare your back-up plan
Clearing 2025: four things you might not know about Clearing and results day
Finding accommodation after getting a university place in Clearing 2025
A guide to Ucas Clearing 2025: how to find your university place
Clearing 2025: how to call universities
What happens if you miss the grades for your university offer?
Bachelor of Science (with Honours) - BSc (Hons)
Data Science and Artificial Intelligence
University of East London
Entry requirements
Here's what you will need to get a place on the Data Science and Artificial Intelligence course at University of East London.
Select a qualification to see required grades
A level
B,B,C
Most popular A-levels studied
See who's studying at University of East London. These students are taking Data Science and Artificial Intelligence or another course from the same subject area.
| Subject | Grade |
|---|---|
| Mathematics | A |
| Further Mathematics | B |
| Psychology | B |
| Biology | C |
| Business Studies | C |
Course summary
What this course is about
UCAS code: I105
Here's what University of East London says about its Data Science and Artificial Intelligence course.
This course integrates two key areas of computing: data science and artificial intelligence. It tackles the growing demand for professionals in both fields. With an acute shortage of qualified experts predicted by the European Union, this course will equip you for high-paying roles in the tech industry, particularly in data science and data intelligence.
Supported by cutting-edge research contributions from leading academics and practitioners. Combines statistical techniques from data science and algorithmic approaches from artificial intelligence. The curriculum covers cyber security and mobile app development. Your work placements will ensure you are industry-ready for the global digital revolution and ready to compete for data science roles.
Source: University of East London
Course details
Qualification
Bachelor of Science (with Honours) - BSc (Hons)
Department
School of Architecture, Computing and Engineering (ACE)
Location
Docklands Campus | London
Duration
3 Years
Study mode
Full-time
Subjects
• Computer forensics
Start date
21 September 2026
Application deadline
14 January 2026
Tuition fees
| Location | Fees |
|---|---|
| England | £9,535 per year |
| Scotland | £9,535 per year |
| Wales | £9,535 per year |
| Northern Ireland | £9,535 per year |
| International | £15,560 per year |
The modules you will study
Year 1: Information Systems Modelling and Design (Core), Software Development (Core), Web Technologies (Core), Maths for Computing (Core), Computer Systems and Networks (Core), Mental Wealth; Professional Life 1 (IT Project Pitching) (Core)
Year 2: Database Systems (Core), Data Structures & Algorithms (Core), Artificial Intelligence (Core), Mental Wealth; Professional Life 2 (Computing in Practice) (Core), Business Intelligence Analysis (Core), Programming for Data Science (Core), Optional placement (Optional)
Year 3: Big Data Infrastructure & Manipulation (Core), Project Management (Core), Mental Wealth; Professional Life 3 (Project) (Core), Enterprise Architecture and Cloud Computing (Core), Advanced Topics in Data Science and AI (Core)
For more information about individual modules, please visit our course pages via the link below.
How you will be assessed
Assessments will be via:
examinations (in-class and at end of year), case study analysis, portfolio collation, individual/group reports, group assessments, presentations. Feedback is provided within 15 working days in line with UEL's assessment and feedback policy.
University of East London student reviews
Showing 85 reviews
3rd year
Aeronautical engineering
3 weeks ago
it’s nice
3rd year
Aeronautical engineering
3 weeks ago
nice
3rd year
Aeronautical engineering
3 weeks ago
very satisfied
3rd year
Aeronautical engineering
3 weeks ago
amazing
3rd year
Aeronautical engineering
3 weeks ago
it’s nice
3rd year
Aeronautical engineering
3 weeks ago
i do engineering it’s fun
National Student Survey (NSS) scores at University of East London
The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.
Here you can see ratings from University of East London students who took the Data Science and Artificial Intelligence course - or another course in the same subject area.
Select an option to see a detailed breakdown
Teaching on my course
97%
high
Teaching on my course
97%
high
How often does your course challenge you to achieve your best work?
100%
high
How good are teaching staff at explaining things?
88%
low
How often do teaching staff make the subject engaging?
100%
high
How often is the course intellectually stimulating?
100%
high
Learning opportunities
93%
high
Learning opportunities
93%
high
To what extent have you had the chance to bring together information and ideas from different topics?
88%
med
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
100%
high
How well has your course developed your knowledge and skills that you think you will need for your future?
100%
high
To what extent have you had the chance to explore ideas and concepts in depth?
82%
med
To what extent does your course have the right balance of directed and independent study?
94%
high
Assessment and feedback
100%
high
Assessment and feedback
100%
high
How well have assessments allowed you to demonstrate what you have learned?
100%
high
How fair has the marking and assessment been on your course?
100%
high
How often does feedback help you to improve your work?
100%
high
How often have you received assessment feedback on time?
100%
high
How clear were the marking criteria used to assess your work?
100%
high
Academic support
100%
high
Academic support
100%
high
How easy was it to contact teaching staff when you needed to?
100%
high
How well have teaching staff supported your learning?
100%
high
Organisation and management
91%
high
Organisation and management
91%
high
How well were any changes to teaching on your course communicated?
82%
med
How well organised is your course?
100%
high
Learning resources
100%
high
Learning resources
100%
high
How well have the IT resources and facilities supported your learning?
100%
high
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
100%
high
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
100%
high
Student voice
98%
high
Student voice
98%
high
How clear is it that students' feedback on the course is acted on?
100%
high
To what extent do you get the right opportunities to give feedback on your course?
94%
high
To what extent are students' opinions about the course valued by staff?
100%
high
How well does the students' union (association or guild) represent students' academic interests?
100%
high
Other NSS questions
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
100%
high
How well communicated was information about your university/college's mental wellbeing support services?
100%
high
Student information
See who's studying at University of East London. These students are taking Data Science and Artificial Intelligence or another course from the same subject area.
Graduate prospects
What graduates do next
Facts and figures about University of East London graduates who took Data Science and Artificial Intelligence - or another course in the same subject area.
Graduate statistics
40%
In a job where degree was essential or beneficial
75%
In work, study or other activity
65%
Say it fits with future plans
45%
Are utilising studies
Top job areas
20%
Process, plant and machine operatives
15%
Information Technology Professionals
15%
Science, engineering and technology associate professionals
10%
Administrative occupations
Graduate statistics percentages are determined 15 months after a student graduates
Earnings after graduation
Earnings from University of East London graduates who took Data Science and Artificial Intelligence - or another course in the same subject area.
Earnings
£30.7k
First year after graduation
£28.3k
Third year after graduation
£30.5k
Fifth year after graduation
Shown here are the median earnings of graduates at one, three and five years after they completed a course related to Data Science and Artificial Intelligence.
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree
Discussions
Discussions
Students are talking about University of East London on The Student Room.
Chat with University of East London
Hi, welcome to the University of East London!
We’re here to answer any questions you have about studying at living at our university. Whether you need advice on entry requirements, course and module information, student finance, accommodation, or more, we’re here to help.
If you'd prefer, feel free to give us a call on 020 8223 3333
Also be sure to follow us on Twitter @UEL_News and Instagram @universityofeastlondon
University of East London open days
Are you thinking of applying to this university?
Before you do, it's a good idea to go to an open day. You can have a good look around campus, getting a better idea of what it's like to study there. You'll meet current students and staff and get the chance to ask them questions.
Universities will list upcoming open days on their websites. Most will also have virtual open days; these are a great alternative if you really can't get there in person. For tips on preparing for open days, check the advice section here on The Uni Guide.
