Statistics

DPhil in Statistics

Course Code | 002580 

MSc by Research in Statistics

Course Code | 002590 

The Department of Statistics has research strengths in a wide range of areas of modern statistics including:

• Applied probability
  
• General statistics
• Statistical genetics and bioinformatics

Much of the research is either explicitly interdisciplinary, or draws its motivation from application areas, ranging from biology and physics to the social sciences. 

A structured programme of training in modern statistical methodology is available via courses in the Academy for Postgraduate Training in Statistics (APTS), of which the Department is a founding member.

DPhil candidates are strongly advised to contact the Department by email or telephone before submitting an application.

MSc in Applied Statistics

Course Code | 002280 

Applied Statistics focuses on the analysis and interpretation of data in order to gain an understanding of real-world problems.

The MSc is designed to provide a broad but high-level training in Applied Statistics. Particular focus is given to modern computationally intensive methods. There is extensive hands-on experience of analysis of real data through weekly practical classes. There is also a dissertation on an applied project. 

• Length of programme: Twelve months
• Core and optional courses: Core courses include:
  • Statistical Methods
  • Statistical Theory
  • Statistical Data Mining
  • R Programming
    
• Programme specification

Postgraduate Diploma in Applied Statistics

Course Code | 002290

The Diploma in Applied Statistics is a 9-month course. It is similar to the MSc but there is no dissertation. 

• Statistics Departmental Library
  
• Radcliffe Science Library
  
• Departmental graduate computer laboratories

Information on academic staff profiles

Further research in areas of statistical science; employment in financial, economic, governmental, scientific and industrial areas. The MSc can also be a useful stepping stone for doctoral studies.