A good first degree (or the equivalent) in an appropriate quantitative subject.
Months of entry
The programme has been designed to provide a deep understanding of the modern statistical methods required to model and analyse data. You will benefit from a thorough grounding in the ideas underlying these methods and develop your skills in key areas such as practical data analysis and data modelling.
It has been accredited by the Royal Statistical Society (RSS) and equips aspiring professional statisticians with the skills they need for posts in industry, government, research and teaching. It also enables you to develop a range of transferable skills that are attractive to employers within the public and private sectors.
Students whose mathematical and statistical background is insufficient for direct entry on to the appropriate programme, may apply for this course. The first year of the programme gives you a strong background in statistics, including its mathematical aspects, equivalent to the Graduate Diploma in Statistics. This is followed by the MSc in Statistics.Course structure
Linear algebra, analysis, regression and probability and inference are core topics for the first year of this two-year programme, which also includes a dissertation module. In the second year, stochastic models and processes, Bayesian statistics and the analysis of large data sets are among the range of topics explored.
Information for international students
For detailed information see our English language requirements web pages. http://www.kent.ac.uk/ems/eng-lang-reqs/index.html Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways. See http://www.kent.ac.uk/international-pathways/
Fees and funding
Please visit our funding web pages for the most current opportunities and application details.
Qualification and course duration
Course contact details
- School of Mathematics, Statistics and Acturial Science
- +44 (0)1227 824133