MSci Mathematics with Statistics (G1GH)
Master
In Bristol
Description
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Type
Master
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Location
Bristol
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Start date
Different dates available
About MSci Mathematics with Statistics
A mathematics with statistics degree from Bristol will provide you with statistical skills, which are in high demand from employers. It will also provide you with a strong basis for further study.
The first year of the course provides a broad background in pure, applied and statistical mathematics via a range of compulsory units. From year two you will focus more on statistics and probability, although there is scope to take some units from other areas.
As you move through the course you will gain academic independence, moving from small group tutorial teaching in year one to an optional, independent project in your final year.
Our BSc and MSci Mathematics with Statistics degrees are accredited by the Royal Statistical Society (RSS). Students are automatically entitled to Graduate Statistician status on application to the RSS, provided they achieve at least a second-class honours degree.
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Subjects
- Probability
- GCSE Mathematics
- Mathematics
- Statistics
- RSS
Course programme
- Analysis
- Linear Algebra and Geometry
- ODEs, Curves and Dynamics
- Introduction to Proofs and Group Theory
- Probability and Statistics
- Mathematical Investigations
Year 2 (2019/20)
- Computational Mathematics
- Probability 2
- Statistics 2
- Methods of Complex Functions
- Surfaces and Vector Fields
- Ordinary Differential Equations 2
- Applied Partial Differential Equations 2
- Linear Algebra 2
- Algebra 2
- Mechanics 2
- Combinatorics
- Introduction to Geometry
- Metric Spaces
- Perspectives in Mathematics
Year 3 (2019/20)
- Theory of Inference
- Project
- Logic
- Number Theory
- Multivariate Analysis
- Mathematical Methods
- Mechanics 23
- Set Theory
- Fields, Forms and Flows
- Complex Function Theory
- Fluid Dynamics 3
- Group Theory
- Random Matrix Theory
- Time Series Analysis
- Statistical Mechanics
- Information Theory 3
- Financial Mathematics
- Quantum Mechanics
- Introduction to Queueing Networks
- Mathematics in Schools
- Complex Networks
- Functional Analysis 3
- Martingale Theory with Applications 3
- Dynamical Systems and Ergodic Theory 3
- Topics in Modern Geometry 3
- Topics in Discrete Mathematics 3
- Numerical Analysis 23
- Calculus of Variations
- Further Topics In Probability 3
- Modern Mathematical Biology
- Linear and Generalised Linear Models
- Bayesian Modelling
- Financial Risk Management
Year 4 (2019/20)
- Project
- Project
- Analytic Number Theory
- Multivariate Analysis 34
- Advanced Fluid Dynamics
- Algebraic Topology
- Axiomatic Set Theory
- Galois Theory
- Fields, Forms and Flows
- Complex Function Theory (34)
- Statistical Mechanics 34
- Representation Theory
- Asymptotics
- Financial Mathematics 34
- Quantum Information Theory
- Quantum Chaos
- Monte Carlo Methods
- Financial Time Series
- Nonparametric Regression
- Stochastic Optimisation
- Complex Networks 4
- Functional Analysis 34
- Martingale Theory with Applications 4
- Dynamical Systems and Ergodic Theory 4
- Algebraic Number Theory 4
- Topics in Modern Geometry 34
- Topics in Discrete Mathematics 34
- Lie groups, Lie algebras and their representations
- Applied dynamical systems
- Advanced Quantum Theory
- Calculus of Variations
- Further Topics In Probability 4
- Modern Mathematical Biology
- Quantum Computation
- Anomaly Detection
- Introduction to Stochastic Analysis
MSci Mathematics with Statistics (G1GH)