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The University of Southampton

MATH6152 Statistical Computing

Module Overview

Introduction to the statistical packages SAS and R. The module will consist of two sets of lectures and associated computer workshops, one each in SAS and R.

Aims and Objectives

Module Aims

To introduce a range of statistical methods implemented on computers; to give practice in applying methods and interpreting results from them; to develop the use of computers with particular emphasis on R and SAS in the collection, validation, analysis and presentation of data; to help develop the knowledge and experience necessary to implement statistical computing methods.

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Students should be able to enter and manipulate data within SAS and R
  • Students should be able to perform basic statistical analyses using SAS and R and interpret the output
  • Students should be able to find information on how to perform advanced statistical analyses using SAS and R, and then undertake such analyses.
  • Students should be able to do examples of modelling in R and SAS such as linear modelling or GLM


• Data manipulation in R and SAS • Using the Help menu • Writing functions in R • Conditional execution and loops in R • Graphics in R • Apply the above programming skills in R to problems arising in data analysis • Interpretation of R output • Important commands in SAS, and their syntax • Data analysis in SAS • Interpretation of SAS output

Learning and Teaching

Teaching and learning methods

12 lectures (6 in R, 6 in SAS) and 12 computer labs (6 in R, 6 in SAS)

Independent Study76
Total study time100

Resources & Reading list

Der, G. and Everitt, B.S. (2006). Statistical Analysis of Medical data Using SAS. 



MethodPercentage contribution
Coursework assignment(s) 100%


MethodPercentage contribution
Coursework assignment(s) 100%


MethodPercentage contribution
Coursework assignment(s) 100%

Repeat Information

Repeat type: Internal & External

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