Mid-year (Spring) entry is only available on a part-time basis.
The contemporary manufacturing, construction and transportation industries, as well as many other industries and the public sector, require knowledge and skills in quantitative managerial methods that many employees have not acquired in their undergraduate degree. As a consequence, there is demonstrated and continuing demand for specialists, trained in operations research (also known as management science). The Graduate Diploma in Operations Research addresses this need by providing training in methods and techniques for optimal planning, including linear and nonlinear programming, and stochastic methods such as queueing theory and computer simulation.
The course is designed to train professional people in the application of operations research principles and methods. It may be regarded as a training or retraining course for graduates from a wide range of disciplines.
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 of Science for 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 subjects may require attendance at daytime classes.
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.
35241 Optimisation 1 | 6cp | |
35342 Optimisation 2 | 6cp | |
35363 Stochastic Models in Operations Research | 6cp | |
35340 Operations Research Practice | 6cp | |
Select 24 credit points from the following options: | 24cp | |
35212 Linear Algebra | 6cp | |
35252 Statistics 2 | 6cp | |
35353 Regression Analysis | 6cp | |
35355 Quality Control | 6cp | |
35344 Network and Combinatorial Optimisation | 6cp | |
Total | 48cp |
The example program below shows full-time attendance for Autumn-commencing students.
Year 1 | ||
Autumn semester | ||
35241 Optimisation 1 | 6cp | |
35212 Linear Algebra | 6cp | |
35363 Stochastic Models in Operations Research | 6cp | |
35252 Statistics 2 | 6cp | |
Spring semester | ||
35342 Optimisation 2 | 6cp | |
35340 Operations Research Practice | 6cp | |
Select 12 credit points from the following options: | 12cp | |
35353 Regression Analysis | 6cp | |
35355 Quality Control | 6cp | |
35344 Network and Combinatorial Optimisation | 6cp |
Further information is available from: