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Future Students> Postgraduate Coursework> Programs & Courses> Details of Programs> Master of Biostatistics

Master of Biostatistics


Entry Requirements & Fees

To enter the Master of Biostatistics program, students must have

  • completed a Mathematics or Statistics degree in a Science and/or Mathematics program, or a degree in a related area;
  • sufficient mathematical/statistical background, and an average above 65% in the relevant level III courses; and
  • shown some evidence of the ability to undertake independent study
A formal application must be made using by applying on-line.

Qualifying programs are available for students who do not meet the standard entry requirements. Prospective students should note that all programs have English language requirements.

Entry to this program is available in March (Semester 1) only.

Fees

All coursework masters programs at UNSW are fee-paying. For sources of postgraduate course funding go to Commonwealth Supported Assistance.

For international students please refer to International Fees.


Program Description

The program is intended for students who have completed a Mathematics or Statistics degree in a Science and/or Mathematics program, or a degree in a related area, and who wish to further their knowledge of biostatistics. It covers a wide range of statistical methodology and applications for students and practitioners who want to work in health-related fields, including medicine, biology, public health and epidemiology.

Biostatistics is the development and application of statistical science to research in health-related fields, including medicine, biology, public health and epidemiology. The field of biostatistics has become indispensable in improving health and reducing illness. Biostatisticians play essential roles in designing studies, analyzing data and creating methods to attack research problems as diverse as:

  • Determination of major risk factors for heart disease, lung disease and cancer.
  • Testing of new drugs such as to combat AIDS.
  • Evaluation of impact on human health of environmental factors such as tobacco smoke, asbestos or pollutants.
  • Development of appropriate analysis methods in proteomics and genomics.
  • Evaluation of public health impacts from policy changes.
  • Evaluation and management of injury risk.
  • Detection and control of disease outbreaks such as from avian influenza.
  • Evaluation of hospital practices and health management data.
The science of Biostatistics is critical for the correct design of medical trials and obtaining ethics approval for their conduct. It is also essential in genetic research particularly in discovering key genetic mechanisms occurring in disease processes. The degree of Master of Biostatistics is internationally recognised and graduates from high quality programs are in high demand in industry and government, particularly by pharmaceutical companies and drug regulators as well as medical investigators and public health researchers and policy groups. A strong demand for biostatisticians in Australia and the neighbouring regions is expected. The program will provide advanced coursework training in biostatistical theory and methods using an on-campus delivery mode with a significant project component.

Program Structure

The program consists of ten lecture courses worth 6 units of credit (UOC) each, and a supervised project worth 12 UOC. The project is compulsory and full-time students are enrolled in it in the last two semesters of the program. Part-time students are expected to complete the project in two consecutive semesters. The core set of compulsory courses, listed below, is designed to provide students with the fundamental areas of biostatistics.

Core Courses

  • MATH5806 Applied Regression Analysis
  • MATH5826 Statistical Methods in Epidemiology
  • MATH5885 Longitudinal Data Analysis
  • MATH5905 Statistical Inference
  • MATH5906 Design & Analysis of Clinical Trials
  • MATH5916 Survival Analysis
Students may choose the remaining courses from a wide variety of courses within the School of Mathematics and Statistics, or elsewhere within the University. Each candidate's proposed program of study requires the approval of the Head of the School or the Postgraduate Coursework Coordinator.

Elective Courses

  • BINF9010 Bioinformatics Methods and App
  • BIOT7160 Genomics and Proteomics
  • MATH5815 Experimental Design
  • MATH5835 Stochastic Processes
  • MATH5836 Data Mining
  • MATH5845 Time Series
  • MATH5855 Multivariate Analysis
  • MATH5875 Sample Survey Design
  • MATH5895 Nonparametric Statistics
  • MATH5935 Statistical Consultancy
  • MATH5945 Categorical Data Analysis
  • MATH5960 Bayesian Inference & Computations
  • PHCM9422 Population Hlth, Epi & Stats
  • PHCM9516 Introduction to Public Health
  • PHCM9517 Advanced Biostatistics
  • PHCM9911 Health Informatics Principles
  • PHCM9913 Evidence Based Health Systems
  • PHCM9922 Decision Support Systems
External Courses: With the permission of the Postgraduate Coursework Coordinatoror orHead of School Coordinator, a student may take courses from other disciplines at UNSW, other mathematics schools (for example, at University of Sydney), and external courses such as those taught at the AMSI Summer School.

Course Offerings

Semester 1 2009


Semester 2 2009

Semester 2 Timetable

For the convenience of part-time and full-time students, classes are typically taught from 5:30pm to 8:00pm on weekdays during semester.

The Masters Project

Students will have a 12 units of credit (UOC) project as a compulsory part of any master coursework program. The project involves writing a thesis on the chosen topic. The project could include a literature survey and a critical analysis of the topic area; or could be a small research project. This should prepare you for the problem-solving and report-writing aspects of future employment, or for progression to a research degree. Each student works under the supervision of one or more members of the School. Members of the School are flexible about the range of areas in which they will supervise students. Prospective students should start talking to staff members about possible topics well before they start on the project. An early decision about a topic will facilitate an early start with the project. Supervision by individual staff members is dependent on staff agreement and availability.

The project will be assessed for quality in four major areas (see below), each of which is important. The written thesis will be assessed by two or three markers, one of which may be the supervisor, and each marker will provide a written assessment and grade(s) based on the following:

  • Exposition: Clarity of the presentation. Sufficient introductory and summary material. Organisation and style of the presentation.
  • Literature coverage: Adequate coverage of related material in the field. Placing the topic in a wider context.
  • Critical analysis and insight: Understanding of the problem and/or model. Quality of the discussion. Discussion of the advantages and limitations of the problem/method.
  • Originality: E.g. by modifying or extending earlier theory or methods, or by developing new examples, or by an application to a new area.
Staff and Research Interests

The Department of Statistics at UNSW is one of the leading statistical Departments in Australia. Staff cover a range of areas of research in statistical science and stochastic processes. Several staff have particular expertise, experience and research interests in biostatistical work and collaborate directly with key groups on campus or associated hospitals. In particular there is ongoing collaboration with the Centre for Health Informatics, the Injury Risk Management Research Centre, the National Centre in HIV Epidemiology and Clinical Research, medical researchers at the St George Hospital and in the School of Medical Sciences at UNSW, and the Garvan Institute of Medical Research. Collaboration occurs across a wide range of areas, including applications of biostatistical methodology to clinical trials, observational studies, microarrays and related technologies. For further information on the teaching staff and their research interests see the research groups.

The program is oriented towards graduates with a degree in an area with a significant quantitative component (such as Mathematics, Statistics, Science, Engineering, Finance, Economics, Actuarial Studies, Psychology, Epidemiology or Bioinformatics), who wish to develop their knowledge and skills in statistical and computational methods appropriate to biostatistics. It is an appropriate program for graduates who wish to work as biostatisticians. The program draws on contributions from specialists in Statistics and Public Health at UNSW as well as relevant UNSW Research Centres and Hospitals for which Biostatistics is essential.

Transfer Rules

After Semester 1 students may choose not to graduate from the Master of Biostatistics and instead apply to transfer to either the Graduate Diploma in Statistics or Master of Statistics Program provided the rules of admission into those degrees are satisfied. Students who initially satisfied the criteria for the Master of Biostatistics Program but enrolled into the Graduate Diploma in Statistics or Master of Statistics Program may transfer to the Master of Biostatistics Program after Semester 1. The Program Authority may approve transfer of credit for students who wish to transfer to the Master of Biostatistics Program from either the Graduate Diploma in Statistics or Master of Statistics.


Recent Examples of Projects

Recent examples of master's projects (the projects listed below were completed within the Master Program in Statistics but had a biostatistics orientation):

  • International Attitudes to Medical Genetics
  • Gottic Carcinoma within the Larynx in Non-smokers versus the Rest of the Population
  • Analysis on Learning Trajectory of Hummingbirds
  • The Epidemiology of Cutaneous Melanoma in New South Wales
  • Statistical Methods to Reveal Protein Dynamics
  • Predictive Modelling of Road Kill Data
  • Selection of Variance Components in Linear Mixed Models
  • Microarray Gene Expression Data Analysis
Masters Program Co-ordinator

Dr Donna Mary Salopek
School of Mathematics and Statistics
University of New South Wales
Sydney 2052 Australia
Phone: (02) 9385 7030
Fax: (02) 9385 7123

Inquiries via e-mail must be sent to pg.MathsStats@maths.unsw.edu.au