University of Melbourne

Master of Biostatistics - Máster en Bioestadística

University of Melbourne
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  • Lugar:
    Se imparte Online
  • Duración:
    3 Años
  • Idioma:
    El Curso se imparte en Inglés
  • Titulación:
    Master of Biostatistics
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    A four-year undergraduate degree in a relevant discipline incorporating studies in mathematics or statistics at least at second-year level with an average mark of at least H2B (70%); OR
    A Postgraduate Certificate or Postgraduate Diploma in Biostatistics. Successful applicants with a Postgraduate Diploma in Biostatistics with at least H2B (70%) average may be awarded a maximum of 50 points credit (advanced standing) on entry to the masters degree.
    The Selection Committee may conduct interviews or tests or call for referee reports or employer references to elucidate any of the matters listed above.
    Because the degree of Master of Biostatistics includes a compulsory 25-point supervised workplace project portfolio enrolment in the Master of Biostatistics is not usually possible for international students unable to live and be employed in Australia while undertaking the degree.


    Those seeking employment as a Biostatistician in medical and epidemiological research, the pharmaceutical industry or government departments and agencies (a workplace project is compulsory).


    On completion of the Master of Biostatistics, graduates will:

    have developed a sound understanding of epidemiological study design and the theory and application of the major areas of biostatistics relevant to professional practice
    have acquired skills in complex statistical analyses to handle a variety of practical problems using modern statistical techniques and software
    have acquired skills in data collection and data management, including database design, quality control procedures and the ethical handling of data
    have developed skills to identify the relevant statistical issues in practical problems in medical/health settings and to propose and implement an appropriate statistical design and/or analysis methodology
    have developed skills and had experience in communication of biostatistical issues with clinical/health personnel and the presentation of statistical results in a format suitable for publication in health-related journals or professional reports


    Option 1: 10 coursework subjects and a two unit workplace project portfolio (150 points)
    Option 2: 11 coursework subjects and a one unit workplace project portfolio (150 points)

    Students may be waived the requirement to complete either Epidemiology (most likely students coming from a background in health research), or one or more of the units, Mathematical Background for Biostatistics, Probability and Distribution Theory and Principles of Statistical Inference (most likely students coming from a background in mathematics and/or statistics), if they have equivalent prior studies. This should leave room for the student to complete one or two electives in addition to the compulsory Workplace Project Portfolio unit (WPP). Students may receive credit for subjects previously completed while enrolled at the Postgraduate Certificate and Postgraduate Diploma levels.

    Core Subjects
    Students must complete the following core subjects:

    POPH90122 Survival Analysis

    POPH90018 Data Management & Statistical Computing

    POPH90016 Epidemiology

    POPH90015 Mathematics Background for Biostatistics.

    POPH90017 Principles of Statistical Inference

    POPH90148 Probability and Distribution Theory

    POPH90121 Categorical Data & GLMs

    POPH90119 Design of Randomised Controlled Trials

    POPH90120 Linear Models

    Workplace Project Portfolio

    POPH90149 Workplace Project Portfolio - S (WPP)

    POPH90125 Workplace Project Portfolio - L (WPP)

    POPH90151 Workplace Project Portfolio - D (WPP)

    Optional Electives
    POPH90118 Clinical Biostatistics

    POPH90117 Health Indicators and Health Surveys

    POPH90123 Longitudinal and Correlated Data

    POPH90138 Advanced Clinical Trials

    POPH90139 Bayesian Statistical Methods

    POPH90124 Bioinformatics


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