Faculty of Sciences > Programs > Graduate Diploma Programs > GradDipMath

Graduate Diploma of Mathematics (GDMA) - GradDipMath

Program Summary

Mode of Study

Campus

Fees

Duration

Articulation

HECS

PELS

RTS

Fee-Paying

Max

Min

From Program

To Program

ANZINT

On-campus

TWMBA

-

ü

-

ü

ü

4 years 

1 year 

 

 

External

TWMBA

-

ü

-

ü

ü

4 years 

1 year 

Web

N/A

-

-

-

-

-

 

 

Key
HECS = Higher Education Loans Scheme
PELS = Postgraduate Education Loans Scheme
RTS = Research Training Scheme
ANZ = Australia and New Zealand Students
INT = International Students

Program Aims

The program aims to provide an opportunity for graduates in programs other than Mathematics to gain skills in key areas of mathematics that relate to the needs of their profession or industry.

Program Objectives

Successful completion of the program will enable graduates to:

Admission Requirements

Entrants to this program must:

In addition, entrants are required to be able to demonstrate successful completion of studies that are equivalent to the course MAT1100 Foundation Mathematics.

Note: Applicants whose degree or equivalent qualifications includes a major in mathematics or statistics will not normally be eligible for admission. In such instances, a case for admission will need to be made to the Head of Department.

Program Structure

The program consists of eight units of study. The courses studied will depend on the student's background in mathematics but at least five will be courses from the Applied Mathematics major of the Bachelor of Science.

Students must complete any eight courses from the following table, provided that at least two Level 3 courses are completed.

Level 1   Level 2   Level 3 (at least two courses from:)  
CSC1401 Foundation Programming with C   CSC2401 Algorithms and Data Structures  CSC3409 Simulation 
MAT1101 Discrete Mathematics for Computing  CSC2403 Numerical Computing MAT3105 Partial Differential Equations## 
MAT1102 Algebra and Calculus I  MAT2100 Algebra and Calculus II  MAT3103 Mathematical Modelling for Dynamics
MAT1200 Operations Research 1  STA2300 Data Analysis   MAT3104 Random Processes to Financial Mathematics
  STA2301 Distribution Theory  MAT3201 Operations Research 2 
STA2302 Statistical Inference  MAT3106 Vector Calculus Applied to Fluid Mechanics## 
  STA3300 Experimental Design 
STA3301 Statistical Models 

* To be replaced by CSC2409 High Performance Numerical Computing in 2004.

# Available in odd-numbered years.

## Available in even-numbered years.

Program Fees

International Students

International students pay tuition fees. For details about international student fees, refer to the Fees and Charges section of this Handbook: http://www.usq.edu.au/handbook/2003/feecharge.html

Fee-Paying Postgraduate Domestic Students and Post-graduate Education Loans Scheme (PELS)

For those Australian citizens, New Zealand citizens and permanent residents of Australia who pay tuition fees, details about postgraduate fees, are in the Fees and Charges section of this Handbook http://www.usq.edu.au/handbook/2003/feecharge.html . Australian citizens and permanent residents of Australia may be able to defer their postgraduate fees through the tax system. For details about this Postgraduate Education Loan Scheme (PELS) refer to the PELS section of this Handbook: http://www.usq.edu.au/handbook/2003/feecharge.html

Enquiries

Initial enquiries should be directed to the Faculty Marketing Officer, Mary McGilvray: telephone (07) 4631 2681; email studysci@usq.edu.au .

Currently enrolled students should contact the Program Coordinator, Dr Richard Watson: telephone (07) 4631 5546; email rwatson@usq.edu.au .

Further information about postgraduate programs, courses and research projects of the Department of Mathematics and Computing may be found at http://www.sci.usq.edu.au/postgrad

Enrolment

Enrolment patterns will need to be determined for individual students. On acceptance into the program, students must submit an enrolment pattern for approval to the Undergraduate Coordinator, Mathematics and Computing. Pre-requisite courses should be taken as a guide to the assumed knowledge required for a course. It is the student's responsibility to ensure that they have the assumed knowledge before enrolling in a particular course.

Recommended Enrolment Pattern

There is no recommended enrolment pattern for this program. Students should select their own. If unsure about a suitable enrolment pattern, students should contact the Program Coordinator.




© The University of Southern Queensland
ISSN 1037-1818
To report any broken or non-working links, please contact the Webmaster