Courses & Units

Statistical Analysis Using R KMA711



Students required to check the timetable for commencement date of this unit.

Please note results for this unit will not be available in time for August graduations.


This unit is an introduction to quantitative data analysis techniques. Covering topics from basic inference through to generalised linear models, time series analysis and clustering and discrimination, this subject gives students the opportunity to become familiar with a variety of modern statistical techniques and their implementation using the R programming language.  Students will improve their ability to recognise good experimental design, choose appropriate analysis techniques, present their statistical analyses, and learn the importance of meeting statistical assumptions when analysing data.   The theoretical skills above will be reinforced using a combination of short exercises that contribute to a portfolio assignment, and a larger practical assignment that may involve the student’s own data, if available.


Unit name Statistical Analysis Using R
Unit code KMA711
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Natural Sciences
Discipline Mathematics

Dr Shane A. Richards

Teaching staff

A/Prof B Holland, A/Prof M Charleston, Mr D Palmer

Level Postgraduate
Available as student elective? Yes
Breadth Unit? No


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 24/6/2019 28/6/2019 4/7/2019 14/7/2019

* 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 (see withdrawal dates explained for more information).

Unit census dates currently displaying for 2019 are indicative and subject to change. Finalised census dates for 2019 will be available from the 1st October 2018.

About Census Dates



Band CSP Student Contribution Full Fee Paying (domestic) Field of Education
2 2019: $1,169.00 2019: $2,321.00 010103

Fees for next year will be published in October. The fees above only apply for the year shown.

Please note: international students should refer to this page to get an indicative course cost.


Students must be enrolled in a PhD, Masters or Honours



Teaching Pattern

On-campus component - 8 days (over 3 weeks) 2-3hr lecture & 2-3hr practical, self study before and after on-campus sessions.


2-3 assignments worth 100%

TimetableView the lecture timetable | View the full unit timetable




Booktopia textbook links

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