MSc in Data Science
Distinction · 18.1 / 20Key Modules
End-to-end Machine Learning
ML Algorithms
Numeric Optimisation
Data-Driven Systems
Dissertation
Practical Variational Inference of Bayesian Neural Networks
Grade: 18 / 20
MPhys in Physics
2:1 HonoursKey Modules
Linear Algebra II
Vector Calculus & Complex Variables
Signal Processing
Computer Techniques in Physics
Final Year Project
Application of Hollow-Core Fibres in Quantum Repeater Architectures
Grade: 71% (First Class)