Pathways in the MMathStat degree
The example module plans below illustrate pathways in the MMathStat for a number of different specializations. Please note that these are suggestive only and you are free to choose any module combination that satifies the relevant course regulations as specified in the Course Handbook. The suggested module combinations may not satisfy the course regulations of other degree courses such as MMORSE. Please also note modules that are not core modules are subject to availabity.
Advanced Statistics Pathway This pathway provides students with a strong background in mathematical and statistical theory and methodology. It thus prepares students for a career as professional statisticians working in business or industry or for a research career in Statistics. To follow this pathway choose modules centred on statistical methodology and supplementary mathematical techniques, for an example module plan see here.
Computational Statistics Pathway Computational Statistics is concerned with the use of computer intensive approaches to modelling and analysis of complex systems and large data sets. It prepares students for careers in decision analysis and analytics or to work as consultants in close collaborations with engineers, scientists and social scientists. To follow this pathway supplement modules on statistical methodology with modules on algorithm design and computational methods. For an example, see here.
Biostatistics Pathway You may decide to focus on the use of Mathematics and Statistics in the Life Sciences including Biology and Medicine. This would prepare you for a career in fields such as bioinformatics, genomics, clinical trials and drug development. To follow this pathway we suggest you augment statistical methodology modules with modules on the interface to the Life Sciences, see here.
Mathematical Finance Pathway This pathway is for students looking for a career as quantitative analyst in the financial industry and students thinking about a PhD in Mathematical Finance. An example module plan is presented here.
Actuarial Science and Statistics Pathway This pathway emphasises the use of Mathematics and Statistics in the actuarial, banking and financial sector. It thus prepares for a career in the banking and insurance industry. See here for an example module plan.
Probability Theory Pathway You may decide to focus on Probability Theory and its applications. This would prepare you for a career with a focus on stochastic modelling not only in finance and insurance, but also in industries such as pharmaceutical and biotech, information technology, telecommunications or engineering. An example module plan can be found here.
Suggested module combinations:
Suggested optional modules:
Year 1: MA133 Differential Equations and MA134 Geometry and Motion.
Year 2: MA250 PDE and MA259 Multivariable Calculus.
Year 3
Core | CATS | |
ST333 | Applied Stochastic Processes | 15 |
ST342 | Mathematics of Random Events | 15 |
ST404 | Applied Statistical Modelling | 15 |
List (A) | ||
ST323 | Multivariate Statistics | 15 |
ST340 | Programming for Data Science | 15 |
ST343 | Topics in Data Science | 15 |
List (B) | ||
MA3G1 | Theory of PDEs | 15 |
MA3H0 | Numerical Analysis and PDEs | 15 |
Year 4
Core | CATS | |
ST415 | Statistics Masters Dissertation | 30 |
List (A) | ||
ST405 | Bayesian Forecasting and Intervention with Advanced Topics | 15 |
ST407 | Monte Carlo Methods | 15 |
ST409 | Medical Statistics with Advanced Topics | 15 |
ST410 | Designed Experiments with Advanced Topics | 15 |
ST413 | Bayesian Statistics and Decision Theory with Adv Topics | 15 |
ST906 | Financial Time Series | 15 |
Alternative suggested optional modules for years 3 and 4:
ST318 Probability Theory, ST329 Topics in Statistics, ST341/ST418 Statistical Genetics (with Advanced Topics), MA3B8 Complex Analysis, MA433 Fourier Analysis, EC306 Econometrics 2: Time Series, EC338 Econometrics 2: Microeconometrics.
Suggested optional modules:
Year 1: MA133 Differential Equations, MA134 Geometry and Motion, MA117 Programming for Scientists (may be taken as optional module in year 2).
Year 2: MA259 Multivariable Calculus.
Year 3
Core | CATS | |
ST342 | Mathematics of Random Events | 15 |
ST404 | Applied Statistical Modelling | 15 |
ST406 | Applied Stochastic Processes with Advanced Topics | 15 |
List (A) | ||
ST340 | Programming for Data Science | 15 |
ST343 | Topics in Data Science | 15 |
ST412 | Multivariate Analysis with Advanced Topics | 15 |
List (B) | ||
MA3G1 | Theory of PDEs | 15 |
MA398 | Matrix Analysis and Algorithms | 15 |
Year 4
Core | CATS | |
ST415 | Statistics Masters Dissertation | 30 |
List (A) | ||
ST405 | Bayesian Forecasting and Intervention with Advanced Topics | 15 |
ST407 | Monte Carlo Methods | 15 |
MA398 | Matrix Analysis and Algorithms | 15 |
MA433 | Fourier Analysis | 15 |
Optional | Modules | |
CS331 | Neural Computing | 15 |
IB352 | Applied Optimisation Methods | 15 |
Alternative suggested optional modules for years 3 and 4:
ST305/ST409 Medical Statistics (with Advanced Topics), ST318 Probability Theory, ST329 Topics in Statistics, ST341/ST418 Statistical Genetics (with Advanced Topics),
MA3B8 Complex Analysis, MA3J2 Combinatorics II, MA433 Fourier Analysis, MA4J3 Graph Theory,
CS301 Complexity of Algorithms, CS342 Machine Learning, CS356 Approximation and Randomised Algorithms, CS402 High Performance Computing, CS904 Computational Biology,
Suggested optional modules:
Year 1: MA133 Differential Equations, MA134 Geometry and Motion, MA117 Programming for Scientists (may be taken as optional module in year 2).
Year 2: MA250 PDE, MA254 Theory of ODE, MA256 Introduction to Systems Biology, MA259 Multivariable Calculus.
Year 3
Core | CATS | |
ST318 | Probability Theory | 15 |
ST342 | Mathematics of Random Events | 15 |
ST404 | Applied Statistical Modelling | 15 |
List (A) | ||
ST301 | Bayesian Statistics and Decision Theory | 15 |
ST305 | Designed Experiments | 15 |
ST340 | Prgramming for Data Science | 15 |
List (B) | ||
MA390 | Topics in Mathematical Biology | 15 |
MA3G1 | Theory of PDEs | 15 |
Year 4
Core | CATS | |
ST415 | Statistics Masters Dissertation | 30 |
List (A) | ||
ST405 | Bayesian Forecasting and Intervention with Adv. Topics | 15 |
ST406 | Applied Stochastic Processes with Advanced Topics | 15 |
ST409 | Medical Statistics with Advanced Topics | 15 |
ST412 | Multivariate Statistics with Advanced Topics | 15 |
ST418 | Statistical Genetics with Advanced Topics | 15 |
Optional | Modules | |
CS904 | Computational Biology | 15 |
Alternative suggested optional modules for years 3 and 4:
ST329 Topics in Statistics, ST301/ST413 Bayesian Statistics and Decision Theory (with Adv Topics), ST343/ST419 (Advanced) Topics in Data Science,
MA3B8 Complex Analysis, MA3H0 Numerical Analysis and PDE, MA3H2 Markov Processes and Percolation Theory, MA3J3 Bifurcations, Catastrophe and Symmetry, MA4E7 Population Dynamics: Ecology and Epidemiology.
Suggested optional modules
Year 1: MA133 Differential Equations, MA134 Geometry and Motion.
Year 2: MA250 PDE, MA254 Theory of ODE, MA259 Multivariable Calculus.
Year 3
Core | CATS | |
MA359 | Measure Theory | 15 |
ST318 | Probability Theory | 15 |
ST404 | Applied Statistical Modelling | 15 |
List (A) | ||
ST337 | Bayesian Forecasting and Intervention | 15 |
ST339 | Introduction to Mathematical Finance | 15 |
List (B) | ||
MA3B8 | Complex Analysis | 15 |
MA3G1 | Theory of PDEs | 15 |
MA3G7 | Functional Analysis I | 15 |
Year 4
Core | CATS | |
ST415 | Statistics Masters Dissertation | 30 |
List (A) | ||
ST401 | Stochastic Methods in Finance | 15 |
ST403 | Brownian Motion | 15 |
ST407 | Monte Carlo Methods | 15 |
ST906 | Financial Time Series | 15 |
ST909 | Continuous Time Finance for Interest Rate Models | 15 |
MA482 | Stochastic Analysis | 15 |
Alternative suggested optional modules for years 3 and 4:
ST333/ST406 Applied Stochastic Process (with Adv. Topics), ST411 Stochastic Dynamic Control, ST958 Topics in Mathematical Finance,
MA3G8 Functional Analysis II, MA3H0 Numerical Analysis and PDEs, MA3H2 Markov Processes and Percolation, MA3H7 Control Theory, MA4A2 Advanced PDE.
Actuarial Science and Statistics
Suggested optional modules:
Year 1: MA133 Differential Equations, MA134 Geometry and Motion.
Year 2: MA250 PDE, MA254 Theory of ODE, MA259 Multivariable Calculus.
Year 3
Core | CATS | |
ST318 | Probability Theory | 15 |
ST342 | Mathematics of Random Events | 15 |
ST404 | Applied Statistical Modelling | 15 |
List (A) | ||
ST339 | Introduction to Mathematical Finance | 15 |
ST412 | Multivariate Statistics with Advanced Topics | 15 |
List (B) | ||
MA3B8 | Complex Analysis | 15 |
MA3G7 | Functional Analysis I | 15 |
Optional | Modules | |
ST334 | Actuarial Methods | 15 |
ST335 | Finance and Financial Reporting | 15 |
Year 4
Core | CATS | |
ST415 | Statistics Masters Dissertation | 30 |
List (A) | ||
ST401 | Stochastic Methods in Finance | 15 |
ST402 | Risk Theory | 15 |
ST406 | Applied Stochastic Processes with Advanced Topics | 15 |
ST906 | Financial Time Series | 15 |
Optional | Modules | |
ST338 | Actuarial Models | 15 |
ST345 | Life Contingencies | 15 |
Alternative suggested optional modules for years 3 and 4:
ST301/ST413 Bayesian Statistics and Decision Theory (with Adv Topics), ST337/ST405 Bayesian Forecasting and Intervention (with Adv Topics), ST340 Programming for Data Science, ST343/ST419 (Advanced) Topics in Data Science, ST407 Monte Carlo Methods;
MA3B8 Complex Analysis, MA3G1 Theory of PDEs, MA3G8 Functional Analysis II, MA3H0 Numerical Analysis and PDEs
Suggested optional modules:
Year 1: MA133 Differential Equations, MA134 Geometry and Motion.
Year 2: MA250 PDE, MA254 Theory of ODE, MA259 Multivariable Calculus.
Year 3
Core | CATS | |
ST318 | Probability Theory | 15 |
ST333 | Applied Stochastic Processes | |
ST342 | Mathematics of Random Events | 15 |
ST404 | Applied Statistical Modelling | 15 |
List (A) | ||
ST337 | Bayesian Forecasting and Intervention | 15 |
ST339 | Introduction to Mathematical Finance | 15 |
List (B) | ||
MA3B8 | Complex Analysis | 15 |
MA3H2 | Markov Processes and Percolation Theory | 15 |
Year 4
Core | CATS | |
ST415 | Statistics Masters Dissertation | 30 |
List (A) | ||
ST401 | Stochastic Methods in Finance | 15 |
ST403 | Brownian Motion | 15 |
ST407 | Monte Carlo Methods | 15 |
ST411 | Dynamic Stochastic Control | 15 |
MA427 | Ergodic Theory | 15 |
MA482 | Stochastic Analysis | 15 |
Alternative suggested optional modules for years 3 and 4:
ST906 Financial Time Series,
MA3G1 Theory of PDEs, MA3G7 Functional Analysis I, MA3G8 Functional Analysis II, MA3H0 Numerical Analysis and PDEs, MA3H3 Set Theory, MA3H7 Control Theory, MA3J4 Mathematical Modelling with PDE, MA4A2 Advanced PDEs, MA4K3 Complex Function Theory, MA4L2 Statistical Mechanics