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Future Students> Postgraduate Coursework> Programs & Courses> Details of Programs> Graduate Certificate in Statistics

Graduate Certificate in Statistics

Overview of the Graduate Certificate in Statistics

The Graduate Certificate in Statistics is intended for graduates with a degree in an area with a significant quantitative component (such as Science, Engineering, Finance) wishing to develop their knowledge and skills in Statistical Science. In particular, it provides an opportunity for advanced training in the use of professional statistical packages including SAS, SPLUS and R, Data Mining and applications of Statistics in Business and Bio-medical Research.

Students may choose not to graduate from the Graduate Certificate in Statistics and instead apply to upgrade to either the Graduate Diploma in Statistics or Master of Statistics provided their average grade in two compulsory courses is at least 65%. Students who initially satisfied the criteria for the Master of Statistics Program but enrolled into the Graduate Certificate in Statistics may transfer to either the Graduate Diploma in Statistics or Master of Statistics program in the next session provided their final mark in Math5846 is at least 65%. The Program Authority may approve transfer of credit for students who wish to downgrade to the Graduate Certificate in Statistics from either the Graduate Diploma in Statistics or Master of Statistics.


Course requirements

The Program consists of four courses, each of 6 Units of Credit: MATH5846 Introduction to Probability and Stochastic Processes (compulsory), MATH5856 Introduction to Statistics and Statistical Computations (compulsory) and two elective courses. Each course comprises 2 hours of lectures and one hour of flexible tutorial per week. Note that MATH5846 is offered during the first 6 weeks of the semester with double weekly workload and MATH5856 is offered in the same format in the second half of the semester. The total number of Units of Credit required for graduation is 24.

Compulsory Courses

  • MATH5846 Introduction to Probability and Stochastic Processes, Weeks 1-6, S1 2009 Dr DM. Salopel
  • MATH5856 Introduction to Statistics and Statistical Computations, Weeks 7-12, S1 2009 Dr Y. Fan
Elective Courses available

  • MATH5806 Applied Regression Analysis
  • MATH5815 Experimental Design
  • 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
  • MATH5945 Categorical Data Analysis
  • MATH5960 Bayesian Inference and Computation
  • Other courses from the MStat program
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 outlined above in the Overview. We welcome enquiries from candidates who have a strong quantitative background through education or work experience in any discipline.

Entry to the Program is available in Semester 2 only.

Class Times

For the convenience of part-time and full-time students classes are typically taught between 4:00pm and 8:00pm on weekdays during term. The elective courses can be chosen from the list of courses that are offered to the Master of Statistics Program.

Course Co-ordinator

Further information:
Dr Donna Mary Salopek
School of Mathematics and Statistics
University of New South Wales
UNSW Sydney 2052 Australia
Phone: (02) 9385 7030
Fax: (02) 9385 7123
Email: pg.MathsStats@unsw.edu.au

Statistics Staff and Research Areas

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.