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These regulations are to be read in conjunction with all other Statutes and Regulations of the University including General Regulations for Undergraduate Degrees, Undergraduate Diplomas, Undergraduate Certificates, Graduate Diplomas, and Graduate Certificates.
1. Admission to the Graduate Diploma in Applied Statistics requires that the candidate will meet the University admission requirements as specified, and shall have:
(a) been awarded or qualified for the award of a university degree; and
(b) passed approved 100 level courses in Mathematics and Statistics (160.1xx or 228.171; and one of 161.120 Introductory Statistics, 161.130 Introductory Biostatistics, 161.101 Statistics for Business, or their equivalents).
2. Candidates for the Graduate Diploma in Applied Statistics shall follow a flexible programme of study, which shall consist of courses totalling at least 120 credits, comprising:
(a) courses selected from the Schedule to the Qualification;
(b) at least 120 credits at 200 level or higher, of which at least 75 credits must be at 300 level or higher;
(c) the compulsory courses listed in the Schedule for the Qualification;
(d) 45 credits from Schedule A courses;
(e) at least 75 credits from Schedule B and Schedule C courses;
(f) no more than 30 credits from Schedule C courses;
(g) attending field trips, studios, workshops, tutorials, and laboratories as required.
3. Notwithstanding Regulation 2, and with the permission of the Programme Director, up to 30 credits from Schedules A or B may be substituted with appropriate alternative courses, including 700 level courses.
4. The Graduate Diploma in Applied Statistics is awarded without specialisation.
5. In order to progress to courses in Schedule C candidates must have successfully completed at least 30 credits from Schedule B courses, and have achieved at least a B+ grade average over all courses previously completed towards the Graduate Diploma in Applied Statistics, in addition to meeting the pre-requisites for the selected course.
6. In cases of sufficient merit, the Graduate Diploma in Applied Statistics may be awarded with distinction.
7. The timeframes for completion as outlined in the General Regulations for Undergraduate Degrees, Undergraduate Diplomas, Undergraduate Certificates, and Graduate Diplomas and Graduate Certificates will apply.
8. Candidates may be graduated when they meet the Admission, Qualification and Academic requirements within the prescribed timeframes; candidates who do not meet the requirements for graduation may, subject to the approval of Academic Board, be awarded the Graduate Certificate in Science and Technology should they meet the relevant Qualification requirements.
9. The general Unsatisfactory Academic Progress regulations will apply.
|161.200||Statistical Models||15 credits||P 160.1xx or 228.171 and one of 115.101, 161.100 - 161.130. R 161.231|
|161.221||Applied Linear Models||15 credits||P One of 115.101, or 161.100-161.130 R 161.320|
|161.220||Data Analysis||15 credits||P One of 115.101, 161.100-161.130 R 161.250|
|161.223||Introduction to Data Mining||15 credits||P One of 115.101, 161.100-161.130 R 161.324, 161.326, 161.777|
|161.250||Data Analysis for Biologists||15 credits||P One of 115.101, 161.100 - 161.130 R 161.220|
|161.304||Advanced Statistical Modelling||15 credits||P 161.200|
|161.321||Sampling and Experimental Design||15 credits||P One of 161.2xx R 161.322|
|161.322||Design and Analysis of Surveys and Experiments||15 credits||P One of 161.2xx R 161.775, 161.321 and 161.331|
|161.323||Multivariate Analysis||15 credits||P One of 161.2xx|
|161.324||Data Mining||15 credits||P 161.220 or 161.221 or 161.250 R 161.777, 161.223|
|161.325||Statistical Methods for Quality Improvement||15 credits||P One of 161.200, 161.220, 161.230, 161.240|
|161.327||Generalised Linear Models||15 credits||P 161.221 and one of 160.1xx R 161.726|
|161.331||Biostatistics||15 credits||P 161.220 or 161.221 or 161.250|
|161.342||Forecasting and Time Series||15 credits||P 161.220 or 161.221 or 161.250|
|161.390||Special Topic||15 credits|
|161.380||Statistical Analysis Project||15 credits||P Two 161.3xx courses|
|161.382||Statistical Analysis Project||30 credits||P Two 161.3xx courses|
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Last updated on Tuesday 06 November 2018