This course is accredited by the Royal Statistical Society.
A flexible taught masters course in statistics combining in-depth training in mainstream advanced statistical modelling with a broad range of specialisations - from financial mathematics to statistical bioinformatics; from shape analysis to risk management.
The MSc in Statistics is a flexible degree programme enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics. It provides training in a range of statistical techniques (and transferable skills) suitable for either careers in statistics and research-related professions, or for further academic research in statistics.
The course is a full-time MSc lasting 12 months, starting in September.
The Course consists of two semesters of taught modules, with the third semester devoted to a major dissertation. Within each semester there is one compulsory module. However, students tailor the course to meet their individual needs through selection of a further three modules from a variety of options. This selection process means a student can specialise in biological or financial applications of statistics or retain a broad base of statistical expertise.
Options within the course vary from mainstream topics in statistical methodology to more specialised areas and reflect specific research interests of academic staff - examples include statistical shape analysis, directional data, statistical genetics and stochastic financial modelling.
Statistical Computing (compulsory): An introduction to methods of statistical computing. Essential for the applied statistician, with an emphasis on sampling-based methods, such as Markov chain Monte Carlo.
Optional modules include:
◾Multivariate and Cluster Analysis
◾Statistics and DNA
◾Linear Regression and Robustness and Smoothing
◾Stochastic Financial Modelling
◾Discrete Time Finance
Independent Learning Skills (compulsory): An introduction to research methods including literature search, writing styles, mathematical typesetting and programming skills.
Optional modules include:
◾Times Series and Spectral Analysis
◾Shape Analysis and Directional Data
◾Continuous Time Finance
◾Hidden Markov Models for Biological Sequence Analysis
Dissertation in Statistics: A four-month research project undertaken in the Summer on a topic (chosen in conjunction with project supervisors) culminating in a dissertation on that project.
Example Project Topics include:
The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The semester three project is assessed by a written dissertation and a short oral presentation.
There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers.
The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of professions - actuarial, betting and gaming industries, charitable organizations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organisations. The course is designed specifically to meet this demand.
Many statistical careers require people educated to masters degree level. This course is designed to build on existing mathematical skills and deepen knowledge of statistics in order for you to access a variety of professions or pursue further research as a PhD student.
The MSc is accredited by the Royal Statistical Society. Completion of the programme will qualify students for the status of ‘Graduate Statistician’ - the first stage towards Chartered Statistician status.
A minimum of a BSc upper second class (2.1) honours degree or equivalent is required, in a subject relevant to the programme of study.
Candidates whose first language is not English will require an appropriate English language qualification, such as;
◾IELTS (academic) 6.5 with at least 6.0 in all components
◾TOEFL score (internet-based test) of at least 92 overall with no less than 21 in listening, 21 in reading, 23 in speaking and 22 in writing
◾Pearson Test of English (PTE) academic score of 64 with at least 60 in all components.
This school offers programs in:
Last updated September 28, 2017