Artificial Intelligence
Entry requirements
A level: AAA or AAB (Additional requirements: A-level Mathematics.) IB: 38 (6,6,6) (Additional requirements: HL6 Mathematics (Analysis & Approaches).) Scottish Higher: AAABB is the minimum requirement from S5 to be reviewed for an S6 offer Offers are not guaranteed to applicants who meet the minimum from S5 Typically offers will be made at AAAAAA by end of S6. B at Advanced Higher is equivalent to A at Higher Additional requirements: Higher Mathematics at A (AH recommended) and Computing (if Higher Mathematics A grade is not achieved in S5). Scottish Higher (widening access): MD20 : ABBB (also other target groups*) MD40 : AABB (ABB S5 minimum for consideration) Additional requirements: Higher Mathematics at A (AH recommended) and Computing (if Higher Mathematics A grade is not achieved in S5). Successful completion of Top-Up or one of our Summer Schools.
About this course
BSc/MSci in Artificial Intelligence, a computer science (artificial intelligence) degree centred on computational principles and machine learning technologies. Core topics include Artificial Intelligence & Machine Learning and Research Methods. The curriculum includes practical project work and independent research across both undergraduate and master's study levels. The first year covers fundamental principles through Computing Science 1F - Computing Fundamentals and Mathematics 1. The second year introduces specialized concepts via Artificial Intelligence 2X: Mathematics for Machine Learning and Algorithms & Data Structures 2. The third year builds advanced competence with modules such as Artificial Intelligence 3Y: Machine Learning (H) and Artificial Intelligence 3G: Group Project (H). The fourth year involves an Individual Project (H) (Single) alongside Research Methods And Techniques (M) for MSci. The final year concludes with an MSci Individual Project and Project Research Readings In Computing Science (M).
Modules
- Computing Science 1P (Standard Route)
- Computing Science 1F - Computing Fundamentals
- Computing Science - 1S Systems
- Mathematics 1
- Computing Science - 1CT Introduction to Computational Thinking
- Computing Science 1PX (Alternate Route)
- Artificial Intelligence 2X: Mathematics for Machine Learning
- Artificial Intelligence 2Y: Knowledge Representation and Decision Making
- Algorithmic Foundations 2
- Algorithms & Data Structures 2
- Computing Science 1F - Computing Fundamentals
- Artificial Intelligence 3Y: Machine Learning (H)
- Artificial Intelligence 3Z: Deep Learning (H)
- Artificial Intelligence 3G: Group Project (H)
- Individual Project (H) (Single)
- Research Methods And Techniques (M) for MSci
- MSci Individual Project
- Project Research Readings In Computing Science (M)