BSc Data Science (Placement Year)
Entry requirements
A level: AAA. This should include Mathematics grade A or Further Mathematics grade A. IB: 36 points overall with 16 points from the best 3 HL subjects including 6 in Mathematics HL (either analysis and approaches or applications and interpretations)
About this course
BSc Hons in Data Science (Placement Year), a mathematics and statistics degree focused on computational methods and data-driven analysis. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Control Systems, Data Analysis, Statistics, Mathematical Modelling, Human Behaviour, Artificial Intelligence & Machine Learning, and Design & Creative Practice. The course includes a compulsory professional placement year in industry prior to the final year, and culminates in a substantial individual project undertaken in collaboration with an academic supervisor. The first year covers core foundations through modules such as Designing Software Systems, Digital Systems, Fundamentals of Computer Science, Matrices and Calculus, Probability and Statistics, and Software Development. In the second year, students build further competence through compulsory studies including HCI: Designing for People, Multivariate Probability and Statistics, Project Skills, and Secure Data and Systems, alongside optional modules covering areas such as Artificial Intelligence and Data Engineering. The third year is spent on a professional placement role in industry. The final year centres on the Third Year Project (Data Science), supported by a wide variety of advanced optional modules spanning Machine Learning, Computer Vision, Medical Statistics, and Quantum Computing.
Modules
- Designing Software Systems
- Digital Systems
- Fundamentals of Computer Science
- Matrices and Calculus
- Probability and Statistics
- Software Development
- HCI: Designing for People
- Multivariate Probability and Statistics
- Project Skills
- Secure Data and Systems
- Applied Data Science
- Artificial Intelligence
- Extended Reality
- Internet Applications
- Algorithms
- Applied Security Methods
- Data Engineering
- Sustainable Computing
- Placement
- Third Year Project (Data Science)
- Advanced Programming
- Changepoint and Time Series Analysis
- Computer Science Education
- Computer Vision
- Digital Health
- Environmental Statistics
- Languages and Compilation
- Machine Learning
- Medical Statistics
- Natural Language Processing
- Quantum Computing
- Secure Artificial Intelligence
- Secure Cyber Physical Systems
- Secure Distributed Systems
- Statistical Inference
- Statistical Learning and Prediction
- Stochastic Processes