BSc Data Science and AI
About this course
BSc (Hons) in Computer Science. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Data Analysis, Statistics, Project Management, Policy Analysis, Entrepreneurship, and Artificial Intelligence & Machine Learning. The curriculum includes a final year thesis project.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
The standard minimum entry requirements for this course are: Grades BCC or above at A-level Merit Merit Merit (MMM) at BTEC Extended Diploma (preferred subjects include Computer Science and ICT, or Design and Technology) Access to Higher Education Diploma with 104 UCAS tariff points (preferred subjects include Computer Science and ICT, or Design and Technology) Equivalent EU/International qualifications, such as International Baccalaureate Diploma. Grades CC or above at A-level Merit Pass Pass (MPP) at BTEC Extended Diploma (preferred subjects include Computer Science and ICT, or Design and Technology) Access to Higher Education Diploma with 64 UCAS tariff points (preferred subjects include Computer Science and ICT, or Design and Technology) Equivalent EU/International qualifications, such as International Baccalaureate Diploma You should also have three GCSE passes at grade 4 or above (grade A*-C). If you do not have a Science or Mathematics-based A-level, you should have at least Grade B/Grade 6 at GCSE Mathematics.
What students say
Based on about 28 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 88%
- Learning opportunities: 89%
- Assessment and feedback: 93%
- Academic support: 95%
- Organisation and management: 77%
- Learning resources: 87%
- Student voice: 93%
Do students stay on the course?
Based on about 50 students who started, across similar courses at this university
- Continued on course: 90%
- Left higher education: 15%
Where graduates work (5 years on)
Based on about 25 graduates, across similar courses at this university (a small group: a rough guide only)
- Yorkshire and the Humber: 10%
- East Midlands: 10%
- London: 70%
- South East: 10%
- South West: 5%
Who gets in
Based on about 10 students who started (a small group: a rough guide only)
- A levels: 90%
- Access course: 10%
Accreditation & quality ratings
TEF 2023 (whole university): Bronze overall, Bronze for student experience, Silver for student outcomes.
Modules
- Year 0 (common with BSc Computer Science)
- Methods 00: Programming and Computational Thinking:
- This unit establishes the core theory and practice of programming. You will study the syntax and meaning of industry-standard languages and learn to configure and use professional tooling and development environments. The unit integrates the basic mathematics necessary for logical problem-solving and examines the importance of visual aesthetics in creative software output. Furthermore, you will learn how to effectively utilise technical documentation and access support networks and developer communities to solve technical problems.
- Critical 00: Optimistic Futures for Computing:
- Critical Project 00: The Human Computer Relationship:
- Methods 01: Form and Structure:
- Critical 01: Real World Patterns in Computing:
- Critical Project 01: Building Human Computer Relations:
- Methods 1: Introducing Computer and Data Science:
- Critical 1: Mathematics and Statistics for Data Science:
- Critical Project 1: Data, Representation and Visualisation:
- Methods 2: Data Applications in Wearable and IoT:
- Critical Project 2: Database Systems for Data Science: Hybrid and Cloud Integration:
- Critical 2: Data Governance, Privacy Compliance and Computational Ethics:
- Methods 3: Algorithms and Complexity:
- Critical 3: Organisations and Computing Entrepreneurship:
- Critical Project 3: Data Science Project: Software Development with Database Integration:
- Methods 4: Deep Learning and Big Data Integration: Technologies and Tools:
- Critical 4: Machine Learning for Data Science and Ethical Computing:
- Critical Project 4: Data Science Project: Software Development with Big Data and Cloud:
- Methods 5: Artificial Intelligence and Advanced Analytics:
- Critical 5: Data and Cybersecurity:
- Critical Project 5: Applied Analytics: Data-driven Product Development:
- Critical 6: Responsible Data Science: Equity, Consent, Innovation and Ethics:
- Critical Project 6: Final project:
- Diploma in Professional Studies (Optional year)
Questions about this course
How much do graduates of BSc Data Science and AI at University of the Arts London earn?
The median salary is £26,500 after 3 years, £29,500 after 5 years. After five years the middle half of graduates earn between £24,500 and £34,500. The £29,500 median after five years is £6,500 less than the UK median for Computer science.
Are students happy with the teaching on BSc Data Science and AI at University of the Arts London?
88% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Data Science and AI at University of the Arts London?
The average entrant had 92 UCAS points.
Does BSc Data Science and AI at University of the Arts London include a placement year or year abroad?
The course has an optional placement year.
How many students continue on BSc Data Science and AI at University of the Arts London?
90% of students continued into their second year, and 15% left higher education.