BSc Data Science with Year of Professional Experience
Entry requirements
A level: A-level: A (Mathematics) AB including at least one from Computing/Software Systems Development (not both), Physics, Biology, Chemistry, Digital Technology, Technology and Design, Electronics, Further Mathematics or Double Award Life & Health Sciences or A-level: A* (Mathematics) BB including at least one from Computing/Software Systems Development (not both), Physics, Biology, Chemistry, Digital Technology, Technology and Design, Electronics, Further Mathematics or Double Award Life & Health Sciences IB: 34 points overall including 6 (Mathematics) at Higher Level plus 6,5 including at least one from Computer Science, Physics, Biology or Chemistry at Higher Level. If not offered at Higher Level/GCSE then Standard Level grade 4 in English would be accepted.
About this course
BSc in Mathematics. Core topics include Programming, Systems Design, Data Analysis, Statistics, Mathematical Modelling, Ethics & Professional Practice, Human Behaviour, and Artificial Intelligence & Machine Learning. Students complete a software system construction project covering specification, user interface design, system design, and realization.
Modules
- Introduction to Probability & Statistics
- Object Oriented Programming
- Procedural Programming
- Introduction to Algebra and Analysis
- Data Driven Systems
- Statistical Inference
- Data Structures and Algorithms
- Theory of Computation
- Introduction to Artificial Intelligence and Machine Learning
- Linear Algebra
- Professional and Transferrable Skills
- Year of Professional Experience
- Computer Science Project
- Deep Learning
- Video Analytics and Machine Learning
- Concurrent Programming
- Stochastic Processes and Risk
- Malware Analysis
- Cloud Computing
- Fairness, Interpretability and Privacy in Machine Learning
- Linear Models
- Financial Mathematics
- Information Theory and Biodiversity
- Bayesian Statistics