SLE452 - Research Design and Data Analysis


2023 unit information

Enrolment modes:

Semester 1: Online
Semester 2: Online

Credit point(s): 1
EFTSL value: 0.125
Cohort rule:

(This unit is restricted to students enrolled in S400, S401, S494)





Incompatible with:


Study commitment

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - online

Online independent and collaborative learning including recorded materials, 6 x 2.5 hour practical workshops per trimester and 3 x 2 hour workshops per trimester.


Research design and data analysis is an essential part of scientific and industry research but many graduates in life and environmental sciences have only limited experience of applying it in this context. SLE452 aims to help research students develop the skills to design, implement and analyse quantitative outcomes from a research project across a broad range of settings. This unit will build on basic statistical knowledge from other units completed in their undergraduate degree. Students will learn how to design sophisticated sampling and experimental programs that maximise interpretability and efficiency, and with a focus on modern statistical models, understand the logic and assumptions underlying statistical analyses as applied in biological research, develop the practical ability to analyse data and interpret and present the results using modern software, and learn how to critically evaluate the data analyses used in the published literature.

Unit Fee Information

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