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The Graduate Diploma in Biostatistics at The University of Melbourne provides an understanding of the concepts and analytic skills required to tackle today’s ever-increasing quantity of quantitative data in the health sciences, so that we can generate and apply new solutions to real-world problems.

The course encompasses the design of experiments and the collection, summary and analysis of data, including, importantly, the interpretation and communication of data analysis to health professionals using real-world datasets.

Your professional background could be in health sciences or mathematics – this degree suits both, but you must have an aptitude for mathematics. You can benefit from interaction with local biostatistics experts and also have access to academic biostatisticians located throughout Australia via our affiliation with the Biostatistics Collaboration of Australia. The course is also accredited by the Statistical Society of Australia Inc. (SSAI).

On completion of the Graduate Diploma, graduates will have attained the required skills for employment as a biostatistician. This course allows graduates to:

• Fast-track their qualification: study full-time and complete in one year
• Learn from leading biostatisticians at the University of Melbourne and Australia-wide
• Benefit from a hybrid approach to teaching: subjects offered both face-to-face and online
• Attain skills for employment as a professional biostatistician in medical and public health research centres, universities, hospitals, government departments and the pharmaceutical industry
• The course is accredited by the Statistical Society of Australia Inc. and is an affiliated program of the Biostatistics Collaboration of Australia

On completion of the Graduate Diploma in Biostatistics, graduates will be able to: Knowledge: Explain key concepts of quantitative research methods including the role of statistical methods in drawing inferences from data; Demonstrate a sound understanding of the theory underlying the main areas of biostatistics relevant to professional practice and research; Explain key epidemiological concepts including measures of disease frequency and causal effect, and the major sources of bias in epidemiological studies. Skills: develop research questions (descriptive, causal, predictive) and corresponding appropriate statistical designs and/or analysis methods in medical/health settings; display skills in a range of complex statistical analyses using modern statistical software and programming skills; demonstrate skills in data collection and data management, including database design, quality control procedures and the ethical handling of data; employ sound communication skills relating to biostatistical issues with clinical/health professionals including appropriate presentation of statistical material; display the technical skills to be able to read methodological papers in the biostatistical literature and apply the methods described therein to practical problems; Application of knowledge and skills: display problem-solving abilities in biostatistics, characterised by flexibility of approach