Biostatistics Research Project - D

Subject POPH90151 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 25
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


Recommended Background Knowledge:


Non Allowed Subjects:


Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website.


Assoc Prof Julie Simpson


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.

Prescribed Texts: None
Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Links to further information:

This subject is not available in the Master of Public Health.

Related Course(s): Master of Biostatistics

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