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Statistics – (M.Sc.)
University of Kent, Canterbury Campus
Mathematics, Statistics and Actuarial Science
| Application Deadline: | as early as possible | ||
| Annual Tuition Fee: | ≈ € 5,256 - ≈ € 13,116 (non-EEA) | ||
| Location: | Canterbury / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | September |
| Educational Form: |
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| Education Variants: |
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| Credits (ECTS): | 60 | ||
| Languages: | English | ||
Location of University of Kent, Canterbury Campus
Modules give a thorough grounding in modern statistical methods and cover probability and inference, regression, design and analysis of experiments, sampling, multivariate analysis, analysis of discrete data and modern computational statistics. Applications are drawn from a wide variety of areas including statistical ecology, medical statistics, bioinformatics, Bayesian statistics, nonparametric methods, stochastic processes, time series analysis and financial risk analysis.
You gain experience of analysing real data problems through weekly practical classes and exercises, and some data analysis is also done in small groups. The course also includes training in the comuter language R.
A wide choice of project topics is available, reflecting the diverse research interests of staff. Some projects focus on analysis of particular complex data sets, others are more concerned with generic methodology. Recent project topics have included epidemic modelling, analysis of data related to drug abuse in sport, modelling financial time series and several topics in modern genetics, bioinformatics and proteomics.
Contents
Programme structure * Advanced Regression Modelling (15 credits)
* Bayesian Methods (15 credits)
* Computational Statistics (15 credits)
* Practical Statistics and Computing (18 credits)
* Principles of Data Collection (15 credits)
* Probability and Classical Inference (15 credits)
* Choice of two from the following (15 credits) : Analysis of Large Data Sets; Stochastic Models in Ecology and Medicine; Stochastic Processes and Time Series
* Project of 12,000 words (60 credits)
Assessment
Assessment is through coursework and formal examinations.
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Requirements
A minimum of 2.2, with a substantial amount of mathematics at university level.
English language requirements
IELTS
* 6.5 incl
* 6.0 reading
* 6.0 writing
* 5.5 listening
* 5.5 speaking
TOEFL internet-based
* 90 incl
* 22 reading
* 21 writing
* 21 listening
* 23 speaking
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.5 |
| Cambridge English: Advanced (CAE): | Grade B (Score: 75) |
| TOEFL Internet-based: | 90 |
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