Courses & Units

Statistical Analysis Using R KMA711


You are expected to have access to a laptop with sufficient system requirements. It is recommended that you have a recent version of the R programming language ( and RStudio ( installed before the unit begins.


Statistics is the science of decision making and forms a key foundation of scientific research. This unit will present to postgraduate students, that are early in their research studies, a broad range of applied quantitative data analysis techniques. Students will learn aspects of collecting, processing, analysing, and presenting, quantitative information. Topics include: experimental design, data exploration and presentation, fitting linear models and their extensions (e.g., generalised linear modelling, and mixed effects modelling), model selection, Bayesian methods, and model inference. Students will gain hands-on experience conducting statistical analyses using the R programming language within the RStudio environment, including the use of R Markdown for promoting reproducible research. Examples will be drawn from the biological, physical and social sciences. Students will benefit by having taken an introductory statistics unit as part of an earlier degree.


Unit name Statistical Analysis Using R
Unit code KMA711
Credit points 12.5
College/School College of Sciences and Engineering
School of Natural Sciences
Discipline Mathematics
Coordinator Doctor Shane Richards
Delivered By University of Tasmania
Level Postgraduate


Location Study period Attendance options Available to
Hobart Intensive Session Jun On-Campus International Domestic


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Intensive Session Jun 26/6/2023 30/6/2023 6/7/2023 16/7/2023

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Determine appropriate statistical analyses given the data at hand and the research question posed.
  • Conduct statistical analyses using the computer software R, RStudio, and R markdown.
  • Assess the validity of the statistical analyses using graphical and advanced techniques.
  • Interpret and present statistical results in a written format appropriate for a scientific publication.
Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
010103 $515.00 $515.00 not applicable $2,522.00

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.


Mutual Exclusions

You cannot enrol in this unit as well as the following:



Teaching Pattern

2 week x Monday, Tuesday, Thursday, and Friday lectorial sessions 

AssessmentReport (40%)|Portfolio (60%)
TimetableView the lecture timetable | View the full unit timetable



Required readings will be listed in the unit outline prior to the start of classes.

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