courses

3420

18 September 2017 22 November 2024
Monash University

Postgraduate - Course

Students who commenced study in 2013 should refer to this course entry for direction on the requirements; to check which units are currently available for enrolment, refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course.

print version

This course entry applies to students commencing this course in 2013 and should be read in conjunction with information provided in the 'Faculty information' section of this Handbook by the Faculty of Medicine, Nursing and Health Sciences

Managing facultyMedicine, Nursing and Health Sciences
Abbreviated titleGradCertBiostats
Total credit points required24
Standard duration of study (years)1 year PT
Study mode and locationMulti-modal (Alfred Hospital)
Admission, fee and application details http://www.monash.edu/study/coursefinder/course/3420
Contact details

School of Public Health and Preventive Medicine: telephone +61 3 9903 0563; email pgradenq@monash.edu or visit http://www.med.monash.edu.au/epidemiology/pgrad/

Course coordinator

Professor Andrew Forbes

Notes

  • Unit codes that are not linked to their entry in the Handbook are not available for study in the current year.
  • This course is not available to international student visa holders
  • Part-time study only.
  • Students are required to attend a number of compulsory on-site blocks of study days.

Description

This course, offered by the Department of Epidemiology and Preventive Medicine, provides a broad understanding of the value and basic principles of biostatistical methods in health and medical research. The degree assists in understanding the principles of epidemiology and its biostatistical underpinnings and practical application as well as improving computing and data management skills.

Outcomes

On completion of this course, students will be expected to:

  • demonstrate a broad understanding of the value and basic principles of biostatistical methods in health and medical research
  • demonstrate an understanding of the principles of epidemiology and its biostatistical underpinnings
  • have acquired skills in data management and statistical analyses to handle a variety of practical problems using modern statistical techniques and software
  • have developed the practical and technical skills to progress to further postgraduate studies in biostatistics.

Assessment

Assessment includes written assignments, practical exercises and examinations.

Structure

This course consists of one core unit and three elective units.

Requirements

Core unit

Elective units

Three of:

  • EPM5001 Health indicators and health surveys
  • EPM5002 Mathematical background for biostatistics
  • EPM5003 Principles of statistical inference
  • EPM5004 Linear models
  • EPM5005 Data management and statistical computing
  • EPM5006 Clinical biostatistics
  • EPM5007 Design of experiments and clinical trials
  • EPM5008 Longitudinal and correlated data analysis
  • EPM5009 Categorical data and generalised linear models
  • EPM5010 Survival analysis
  • EPM5012 Bioinformatics
  • EPM5013 Bayesian statistical methods
  • EPM5014 Probability and distribution theory
  • EPM5016 Advanced clinical trials

Progression to further studies

This course articulates with 3421 Graduate Diploma in Biostatistics and then 3422 Master of Biostatistics.

Award(s)

Graduate Certificate in Biostatistics