Mid-year (Spring) entry is only available on a part-time basis.
Although a knowledge of statistical methodology is becoming ever more important in many disciplines, degree courses in the sciences, engineering and business often do not provide the exposure to statistics which graduates find they need in employment. The Graduate Diploma in Statistics is suitable for such graduates and also for those who have completed degrees in pure or applied mathematics without a major in statistics.
The subjects, constituting the program, cover standard statistical techniques and their theoretical foundations. The range of topics and the level of presentation are commensurate with those found in senior undergraduate studies in the discipline.
The Graduate Diploma in Statistics aims to train graduates in the methods and principles of applied statistics.
Career options include statistician, or a position in banking, finance, marketing or quality control.
Subject to elective choices, successful completion of the Graduate Diploma enables graduates to proceed into the Bachelor of Science (Honours) in Mathematics (C09020), provided an acceptable standard is reached.
Applicants should have a Bachelor's degree from UTS or other recognised institution and are expected to have knowledge in mathematics comparable with the first-year subjects in the Department of Mathematical Sciences at UTS. Applicants who do not satisfy the second of these requirements may consider enrolment in the Graduate Certificate in Mathematical Sciences (C11147).
Exemptions from core subjects, due to prior study, may be approved. Contact the Faculty for further details.
For applicants enrolling in Autumn semester, the course is offered on a full-time basis normally over two semesters, or on a part-time basis normally over four semesters. For applicants enrolling in Spring semester, the course is only offered on a part-time basis over four semesters. Applicants should be aware that attendance at daytime classes may be unavoidable.
Students are required to complete 48 credit points, comprising four core subjects and four electives. Elective subjects can be chosen from the list of options below but are not limited to it. Elective choice should be consistent with the aims of the program, and must be approved by the Course Director, Postgraduate Programs.
35252 Statistics 2 | 6cp | |
35356 Design and Analysis of Experiments | 6cp | |
35361 Probability and Stochastic Processes | 6cp | |
35353 Regression Analysis | 6cp | |
Select 24 credit points from the following options: | 24cp | |
35254 Health Statistics | 6cp | |
35255 Forensic Statistics | 6cp | |
35355 Quality Control | 6cp | |
35363 Stochastic Models in Operations Research | 6cp | |
35281 Numerical Methods | 6cp | |
35212 Linear Algebra | 6cp | |
35393 Seminar (Statistics) | 6cp | |
Total | 48cp |
The example program below shows full-time attendance for Autumn-commencing students.
Year 1 | ||
Autumn semester | ||
35212 Linear Algebra | 6cp | |
35356 Design and Analysis of Experiments | 6cp | |
35252 Statistics 2 | 6cp | |
35363 Stochastic Models in Operations Research | 6cp | |
Spring semester | ||
35361 Probability and Stochastic Processes | 6cp | |
35353 Regression Analysis | 6cp | |
Select 12 credit points from the following options: | 12cp | |
35255 Forensic Statistics | 6cp | |
35281 Numerical Methods | 6cp | |
35355 Quality Control | 6cp | |
35393 Seminar (Statistics) | 6cp | |
35254 Health Statistics | 6cp |
Further information is available from: