University of Technology SydneyHandbook 2007

C07081v5 Graduate Diploma in Operations Research

Award(s): Graduate Diploma in Operations Research (GradDipOR)
UAC code: 942707 (Autumn semester), 945707 (Spring semester)
CRICOS code: 006825K
Load credit points: 48
Course EFTSL: 1
Faculty/institute responsible: Science
Location: City campus

Note(s)

Mid-year (Spring) entry is only available on a part-time basis.


Overview
Course aims
Articulation
Additional admission requirements
Additional recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Other information

Overview

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.

Course aims

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.

Articulation

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.

Additional admission requirements

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).

Additional recognition of prior learning

Exemptions from core subjects due to prior study may be approved. Contact the Faculty of Science for details.

Course duration and attendance

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.

Course structure

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.

Course completion requirements

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 Algebra6cp 
35252 Statistics 26cp 
35353 Regression Analysis6cp 
35355 Quality Control6cp 
35344 Network and Combinatorial Optimisation6cp 
Total 48cp

Course program

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 Analysis6cp 
35355 Quality Control6cp 
35344 Network and Combinatorial Optimisation6cp 

Other information

Further information is available from: