Graduate Diploma in Biostatistics (GDipBiostat)
Graduate Diploma in Biostatistics (GDipBiostat)
Program Code
GDBST
Program Faculty
Faculty of Health and Medical Sciences
Academic Year
2017
These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).
Overview
This program is offered in conjunction with the Biostatistics Collaboration of Australia (BCA). The program is delivered largely through distance mode. Although students will enrol at the University of Adelaide some courses will be delivered by partner Universities within the BCA.
Applicants are required to meet an acceptable standard in Maths Proficiency. The selection process also considers qualifications / experience in a relevant field and includes an interview with the Program Coordinator.
The Graduate Diploma in Biostatistics is an AQF Level 8 qualification with a standard full-time duration of 1 year.
Academic Program Rules for Graduate Diploma in Biostatistics
There shall be a Graduate Diploma in Biostatistics.
Qualification Requirements
To qualify for the Graduate Diploma in Biostatistics, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 24 units:
- Core courses to the value of 24 units
Core Courses
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Core Courses
To satisfy the requirements for Core Courses students must complete courses to the value of 24 units.
Courses to the value of up to 24 units may be taken from the following:
Additional electives may be chosen in place of core course where a student has completed the equivalent course in the past.
Subject/Catalogue Course Title Unit Value BIOSTATS 6000EX Epidemiology 3 BIOSTATS 6001EX Mathematical Background for Biostatistics 3 BIOSTATS 6002EX Data Management and Statistical Computing 3 BIOSTATS 6003EX Probability and Distribution Theory 3 BIOSTATS 6004EX Design of Randomised Controlled Trials 3 BIOSTATS 6005EX Principles of Statistical Inference 3 BIOSTATS 6006EX Linear Models 3 BIOSTATS 6007EX Categorical Data & Generalised Linear Models 3