BSc Data Science and Artificial Intelligence
Entry requirements
UCAS tariff points You will need one of the following: 112 UCAS points (standard offer), or 96 UCAS points (contextual offer) Read more about contextual offer eligibility. Points must come from a Level 3 qualification listed on the UCAS tariff calculator. Accepted qualifications We accept: A Levels in at least two subjects, including Mathematics, Computer Science or another relevant subject BTEC Extended Diploma – DMM (standard) / MMM (contextual), in a computer-related subject. BTEC Diploma – D*D* (standard) / DD (contextual), in a computer-related subject. Access to HE Diploma T Levels International Baccalaureate – 24 points including a minimum of 15 points at Higher Level We also welcome applications from students who are taking Level 3 or higher qualifications not on the UCAS tariff calculator. These are assessed on a case-by-case basis. Additional requirements You will also need: GCSE English Grade 4/C or Level 2 Functional Skills in English GCSE Mathematics Grade 4/C or Level 2 Functional Skills in Mathematics International qualifications We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. Please visit our International page for full details.
About this course
BSc (Hons) Computer Science (Artificial Intelligence) and Creative Computing. Core topics include Programming, Computer Architecture, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Cyber security and mobile app development are also included in the curriculum. The course can be taken over three or four years, with an optional work placement, and culminates in an individual final-year project.
Modules
- Mental Wealth and Professional Fitness
- Creative and Technology Industries Study Skills
- Creative and Technology Industries Data Skills
- Media and Communication Skills
- Computer Science in Practice
- Information Systems Modelling and Design
- Software Development
- Web Technologies
- Maths for Computing
- Computer Systems and Networks
- Mental Wealth; Professional Life 1 (IT Project Pitching)
- Database Systems
- Data Structures & Algorithms
- Artificial Intelligence
- Mental Wealth; Professional Life 2 (Computing in Practice)
- Business Intelligence Analysis
- Programming for Data Science
- Big Data Infrastructure & Manipulation
- Project Management
- Mental Wealth; Professional Life 3 (Project)
- Enterprise Architecture and Cloud Computing
- Advanced Topics in Data Science and AI