Courses & Units

Quantitative Methods in Marine and Antarctic Science KSM721


Quantitative skills are fundamental tools for marine and Antarctic scientists. They are necessary to design studies, analyse data, and to assess and interpret published studies. This unit provides a solid grounding in appropriate ways to collect and analyse and present data in formats that are likely to be encountered by marine and Antarctic scientists. The unit emphasises hands-on, practical experience with widely used statistical software and addresses the common problems often encountered in dealing with biological, ecological and socioeconomic data. There is close integration of the lecture and practical components of the unit. The unit covers basic sampling and experimental design, data analysis using standard techniques, hypothesis testing and progresses on to developing models to describe and understand relationships in data and extrapolate beyond existing data.The unit will equip students wanting to understand and/or pursue research in marine and Antarctic science.


Unit name Quantitative Methods in Marine and Antarctic Science
Unit code KSM721
Credit points 12.5
College/School College of Sciences and Engineering
Institute for Marine & Antarctic Studies
Discipline Ecology and Biodiversity|Fisheries and Aquaculture|Oceans and Cryosphere
Coordinator Doctor Beth Strain
Delivered By University of Tasmania


Location Study period Attendance options Available to
Hobart Semester 1 On-Campus International Domestic


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Semester 1 20/2/2023 21/3/2023 10/4/2023 28/5/2023

* 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

  • Compare and contrast robust experimental design practices to inform technique and methodology selection
  • Analyse biological, ecological and socioeconomic data using statistical software and basic techniques.
  • Interpret results of statistical analyses using a range of relevant techniques
  • Present statistical analyses verbally and graphically to both technical and non-technical audiences
Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
$1,037.00 $1,037.00 not applicable $2,472.00

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.

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Mutual Exclusions

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



AssessmentHypothesis testing assignment (25%)|Major Assignment (40%)|Practical laboratory exercise (10%)|Linear and Generalised Linear Models Analyses (25%)
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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