Graduate Diploma in Statistics
contents
introduction
brief guide to course content and structure
official rules
subjects
Introduction
key points
• preparation for work in statistics
• 8 subjects must be taken from Statistics and Mathematics
• 1 year (two sessions) full time or 2 years (four sessions) part time
• entry requirement is a degree with some university level mathematics
The Graduate Diploma in Statistics offers graduates who are lacking a major study in statistics in their undergraduate degree the opportunity to acquire competence in the discipline. Such a qualification would be useful for graduates whose career has involved, or is expected to involve, the use of statistics. The course may also serve as preparation for the Master of Statistics for students who have inadequate preparation for direct entry into that program. The entry requirement is a degree with some university level mathematics. The course is usually taken part time over two years, although students with the equivalent of 200 level statistics may complete the course in one year of full time study.
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brief guide to course content and structure
Students must complete 48 credit points (that is, 8 subjects). At least 36 credit points must be selected from the Statistics subjects in the schedule of the Bachelor of Mathematics and the Master of Statistics, with at least 24 credit points coming from 300 or 900 level subjects. With the approval of the Head of the School, 6 credit points of 100 or 200 level subjects can be replaced by STAT949 Statistical Thinking.
Where appropriate up to 12 credit points can come from subjects with the same or greater credit point value offered by departments other than the School of Mathematics and Applied Statistics. The particular combination of subjects to be taken by each student will be decided after discussion with the Head of the School and will take into account the student's specific background and needs and which subjects are currently available. For a candidate with the equivalent of MATH187 and MATH188 the program could be:
• STAT231 Probability and Random Variables
• STAT232 Estimation and Hypothesis Testing
• MATH201 Multivariate and Vector Calculus
• MATH203 Linear Algebra
• STAT304 Operations Research and Applied Probability
• STAT332 Multiple Regression and Time Series
• STAT333 Statistical Inference and Multivariate Analysis
• STAT335 Sample Surveys and Experimental Design
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Subjects
Group A : No more than 4 subjects should be selected from Group A.
STAT231 Probability and Random Variables
STAT232 Estimation and Hypothesis Testing
MATH201 Multivariate and Vector Calculus
MATH203 Linear Algebra
STAT949 Statistical Thinking
Group B : At least 4, and up to 8 subjects, should be selected from Group B.
STAT304 Operations Research and Applied Probability
STAT332 Multiple Regression and Time Series
STAT333 Statistical Inference and Multivariate Analysis
STAT335 Sample Surveys and Experimental Design
STAT901 Modern Inference
STAT902 Advanced Data Analysis
STAT903 Survey Design and Analysis
STAT904 Statistical Consulting
STAT941 Statistical Quality Control 1
STAT942 Design and Analysis for Quality Control
For details of the subject contents, go to Subject Descriptions Online.
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