Get degree ideas using our A level explorer tool

Data Science and AI

Entry requirements


BCC at A-level.

104 tariff points from the Access to HE Diploma.

MMM in the BTEC National Extended Diploma

104 tariff points from full level 3 qualifications.

About this course


Course option

3years

Full-time | 2024

Subjects

Artificial intelligence

Data management

Data Science and AI is a rapidly expanding, applied discipline that is shaping the world around us and a significantly growing area of employment. Data science is also the foundation of the technology that underpins modern approaches to functional AI based products and services.

The BSc Data Science and AI programme offers a deep engagement with data science and AI competencies, as well as a critical perspective on ethical data and AI practices. This includes statistical theory, mathematics, data structures, computational approaches, machine learning and software engineering.

Delivered by the UAL Creative Computing Institute, you will benefit from an innovative curriculum that approaches data science and AI through a creative lens.

**What to expect**

- Coding for data science: you will learn practical coding skills in core modern programming languages for data science industries and applications.

- Project-based learning: you will complete a range of computing projects where you will apply skills and knowledge to real world problems.

- Ethical data practices: you will learn how data practices have the potential to impact individuals and society.

- Collaboration and creativity: you will learn how to collaborate with your peers to creatively solve problems together. This ability is a core attribute valued by graduate employers.

- The CCI community: you will join a significant community of students, academics and researchers who are passionate about the future of data and computing. You will have access to our integrated online community.

**Industry experience and opportunities**

You will learn using industry standard tools and frameworks ensuring you are ready to progress to a wide range of roles across the technology sector. You will benefit from industry talks and will meet industry representatives throughout your studies.

Furthermore, you have the opportunity to undertake the optional year in industry details of which will be provided in the second year of study.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
Northern Ireland
£9,250
per year
Republic of Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Creative Computing Institute, University of the Arts London

Department:

Creative Computing Institute, University of the Arts London

Read full university profile

What students say


How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Artificial intelligence

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

62%
UK students
38%
International students
58%
Male students
42%
Female students
80%
2:1 or above
23%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
C

Information systems

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

62%
UK students
38%
International students
58%
Male students
42%
Female students
80%
2:1 or above
23%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
C

After graduation


We don't have more detailed stats to show you in relation to this subject area at this university but read about typical employment outcomes and prospects for graduates of this subject below.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Artificial intelligence

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£17k

£17k

£23k

£23k

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.

Information systems

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£17k

£17k

£23k

£23k

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.

Share this page

This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

Have a question about this info? Learn more here

This is the percentage of applicants to this course who received an offer last year, through Ucas.

Have a question about this info? Learn more here

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

Have a question about this info? Learn more here

This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

Have a question about this info? Learn more here

Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

Have a question about this info? Learn more here

Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

Have a question about this info? Learn more here

The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

Have a question about this info? Learn more here