Data Management and Analytics Using SAS

STA70003 12.5 Credit Points Hawthorn, Online


  • One Semester or equivalent

Contact hours

  • 3 Hours per Week

On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.

2022 teaching periods


HOL Study Period 1

28 Feb 22 - 29 May 22

28 Jun 22

Last self enrolment:
13 Mar 22

21 Mar 22

Last withdraw without fail:
15 Apr 22



Aims and objectives

This unit of study expands on earlier units in the program, introducing students to other aspects of statistical computing. In particular, students will be introduced to one of the leading statistical software packages SAS - a powerful tool for organising and analysing data. Students will use this statistical software to further develop their knowledge in data management, data presentation, and statistical analysis.

Students who successfully complete this unit will be able to:
1. Demonstrate professionally-relevant SAS programming and data management skills.
2. Write SAS programs to enter, load, and merge different types of data from multiple sources.
3. Visualise data graphically using SAS graphical procedures.
4. Summarise data and perform descriptive statistical analyses using SAS procedures.
5. Conduct parametric and non-parametric analysis of variance for balanced and unbalanced study designs using SAS and interpret the results.
6. Perform linear regression analysis using SAS and interpret the results.
7. Analyse data using generalised linear model (GLM) techniques using SAS.

Courses with unit

Prior to  2020 this unit was titled Further Statistical Computing Using SAS

Prior to 2018 this unit was titled Further Statistical Computing