BIO263 Methods for Environmental Data Analysis (8)


Methods for Environmental Data Analysis provides a practical introduction to the quantitative methods for environmental management and research. Environmental scientists spend considerable amounts of their time designing experimental and observational studies and evaluating existing data sets to develop solutions to the many environmental and natural resource issues facing Australia and the globe.It is often the case that there will be a need to analyse data sets to make predictions or forecasts to determine how resources are best allocated for future work. Researchers and managers must, therefore, be familiar with the types of data and how they are collected, common techniques for data analysis, and exploration and identification of patterns in data. There is no residential school associated with this subject. Students completing this subject have understanding of experimental and observational study design design and the ability to interpret and communicate findings from environmental research clearly and coherently within a management context.

+ Subject Availability Modes and Location

Session 1
InternalAlbury-Wodonga Campus
DistanceAlbury-Wodonga Campus
Continuing students should consult the SAL for current offering details: BIO263
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration Grading System School:
One sessionHD/FLSchool of Environmental Sciences

Learning Outcomes

Upon successful completion of this subject, students should:
  • have a comprehensive understanding of experimental design and observational studies in a range of contexts associated with environmental science
  • have the ability to analyse and evaluate the utility of different types of data, how it is collected and analysed in order to make sound judgements about the quality of the research
  • have the ability to generate simple models and hypothesise relevant to environmental problems and research
  • have communication skills in exploring, interpreting, and presenting data graphically
  • be able to undertake basic biostatistical analysis
  • have the ability to interpret and communicate findings from environmental research clearly and coherently within a management context


The subject will cover the following topics:
  1. Designing experimental and observational studies
  2. Research methods
  3. Graphical presentation of environmental data
  4. Model evaluation
  5. Application of methods to analyse environmental data


The information contained in the 2016 CSU Handbook was accurate at the date of publication: 06 September 2016. The University reserves the right to vary the information at any time without notice.