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About the School> Departments & Centres> Statistics> Study Programs> Graduate Diploma

Graduate Diploma

Overview

The Graduate Diploma in Statistics commenced in 1998 and is intended for graduates with a background in Statistics wishing to further develop their knowledge and skills in Statistical science. It offers the opportunity to undertake advanced training in areas such as medical statistics, financial mathematics and industrial statistics. The program may be completed in one year of full-time or by part-time study over a longer period. Entry is available to graduates with a pass degree in fields such as Statistics, Econometrics or Commerce or Business Studies with a major in statistics. Graduates from other suitable fields of study with a strong quantitative foundation, such as engineering or science, can be admitted to the program via an individually specified qualifying program of study - please contact the course co-ordinator below for further details.

Program requirements

The academic requirement for the degree is 48 units of credit (UOC). All courses listed below are 6 UOC each. MATH5905 and MATH5835, being compulsory core courses for the companion Master of Statistics degree, are offered every year. The remaining courses are typically offered every two years.

Courses available

  • MATH5805 Special Topics in Statistics
  • MATH5806 Applied Regression Analysis
  • MATH5815 Experimental Design
  • MATH5816 Continuous Time Financial MOdelling
  • MATH5826 Statistical Methods in Epidemiology
  • MATH5835 Stochastic Processes
  • MATH5836 Data Mining
  • MATH5845 Time Series
  • MATH5855 Multivariate Analysis
  • MATH5875 Sample Survey Design
  • MATH5885 Longitudinal Data Analysis
  • MATH5895 Non-parametric Statistics
  • MATH5905 Statistical Inference
  • MATH5915 Medical Statistics
  • MATH5945 Categorical Data Analysis
  • MATH5960 Bayesian Inference and Computation
Up to 12 UOC may be taken in graduate courses offered by other Departments or Schools within the University, subject to the approval by the course authority. Examples include areas such as econometrics, theory of finance, market research, optimization, operations research, transportation planning, business forecasting, total quality management, population genetics.

Computing Resources to Support Teaching

Students have access to PC and X-terminal laboratories. The latest versions of Splus, SAS, SPSS, Minitab, Excel, Mathcad and other windows and X-windows packages are widely available.

Who should apply and when

The formal requirements are listed above in the Overview. We welcome enquiries from candidates who have a strong quantitative background through education or work experience in any discipline. Individually tailored qualifying programmes can be arranged where appropriate. Students may enrol by February to start in Semester 1 or by July to start in Semester 2.

Class Times

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

Course Co-ordinator

Further information may be obtained from:
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
Email: [[mailto: dm.salopek@unsw.edu.au]]

Statistics Staff and Research Interests

The academic staff of the Department of Statistics covers a wide range of teaching, research and consulting interests. All academic staff are active in research. They also have extensive consulting experience within the research community at UNSW as well as for leading commercial clients in areas such as financial mathematics, expert witnessing in legal cases, meteorological modelling, epidemiology and market research. International visitors to the Department may lecture in current topics to the Masters students.