Biostatistics Research Project - L

Subject POPH90272 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 29-Feb-2016 to 29-May-2016
Assessment Period End 24-Jun-2016
Last date to Self-Enrol 11-Mar-2016
Census Date 31-Mar-2016
Last date to Withdraw without fail 06-May-2016

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 25-Jul-2016 to 23-Oct-2016
Assessment Period End 18-Nov-2016
Last date to Self-Enrol 05-Aug-2016
Census Date 31-Aug-2016
Last date to Withdraw without fail 23-Sep-2016

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: Independent study with supervision
Total Time Commitment:

340 hours


Minimum of 4 subjects including the 2 subjects listed below.

  • MAST90102 Linear Regression OR POPH90120 Linear Models
  • MAST90101 Introduction to Statistical Computing OR POPH90018 Data Management & Statistical Computing
Study Period Commencement:
Credit Points:
Semester 2
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support:


Prof John Carlin


Melbourne School of Population and Global Health


Currently enrolled students:

Future Students:

Subject Overview:

The student will provide evidence of having met this goal by presenting a minor dissertation made up of a preface (describing the context in which their project was conducted and a reflection on what they have learned, how it has drawn upon, integrated and built upon subjects offered previously in the course and increased their confidence and competency in professional practice) and two project reports.

Learning Outcomes:

The aim of this subject is that the student gains practical experience, usually in a workplace setting, in the application of knowledge and skills learnt during the coursework of the Master of Biostatistics program, under supervision of an experienced biostatistician.


Portfolio or minor dissertation (approximately 10,000 words) to be marked by two examiners. Project 1 due at the end of the assessment period in the first semester. Project 2 due at the end of the assessment period of the second semester. (100%)

Prescribed Texts: None
Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date

This subject is not available in the Master of Public Health

Related Course(s): Master of Biostatistics

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