MATH2871 Data Management for Statistical Analysis

The School of Mathematics is proud to announce a collaborative venture with SAS to provide a practical introduction to the management and analysis of data. Large data sets are now found widely in business, finance, bioinformatics, government, intelligence and elsewhere, and skills in querying, cleaning, managing, displaying and analysing data are widely sought.

The course will provide the opportunity for SAS certification in Base Programming (as well as normal academic credit) (cost for the SAS exam: about $65). Sample questions for the exam can be viewed. This will give you an idea of what you should be able to do by the end of the course. During the summer after the course, SAS will operate a work experience placement program. See the story on the first running of the course and the work placement program.

The MATH2871 course overview can be seen below.

Units of credit: 6

Prerequisites: MATH1041 or ECON1203 or ECON2292 or PSY2001 or MATH1231 or MATH1241 or MATH1251 or equivalent.

Cycle of offering: Yearly in Semester 2.

Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities.

More information: This recent course handout (pdf) contains information about course objectives, assessment, course materials and the syllabus.

The Online Handbook entry contains up-to-date timetabling information.

If you are currently enrolled in MATH2871, you can log into UNSW Moodle for this course.

Course Overview

Use of database and spreadsheet tools to organise and query statistical data, programming in an advanced statistical package for file management, data manipulation and cleaning, graphical displays and data analysis using a range of statistical procedures. Creation of data analysis reports using modern statistical and graphical methods. The course will be based around the SAS statistical analysis system and programming tools. Knowledge and skills developed will be generic and applicable to a range of modern statistical software tools.