Courses & Units

Introduction to Biostatistics CAM625

Introduction

This unit offers an introduction to the fundamental concepts of biostatistics, providing a background in descriptive and analytical methods that are used to estimate associations between variables. This unit covers statistical theory, data entry and manipulation methods, data summarising, basic methods of association, and regression modelling. With the basic tools found within this course, students will be able to enter, manipulate, and check the validity of data, and use statistical software to analyse and interpret results. The analytical methods used here will form the foundation of research methods in epidemiology and health services research.

Summary

Unit name Introduction to Biostatistics
Unit code CAM625
Credit points 12.5
College/School College of Health and Medicine
School of Medicine
Discipline Medicine
Coordinator Doctor Karen Wills
Delivered By University of Tasmania
Level Postgraduate

Availability

Location Study period Attendance options Available to
Hobart Semester 2 On-Campus International Domestic
Online Semester 2 Off-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.

Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Key Dates

Study Period Start date Census date WW date End date
Semester 2 22/7/2024 16/8/2024 9/9/2024 27/10/2024

* 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 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Apply your knowledge of statistical theory to produce summary statistics for health research data.
  • Implement data management guidelines for health research data.
  • Manage and analyse health research data using a statistical package.
  • Identify and apply appropriate statistical methods to analyse health research data.
  • Interpret, summarise and communicate the results of a statistical analyses.

Fee Information

Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
069900 $1,118.00 $1,118.00 not applicable $2,648.00

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.

Teaching

Teaching Pattern

On Campus Enrolment: Independent Learning - 8 hours weekly; Tutorial 1 hour (2 times per week); Workshop 2 hours (once only)

Online Enrolment: Independent Learning 8 hours weekly; Tutorial (Online) 1 hour (2 times per week)

AssessmentStatistical report 1 (10%)|Statistical report 2 (40%)|Take-home tests (50%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

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

LinksBooktopia textbook finder

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.