2018 Postgraduate Courses
  • Students are to follow the requirements of the Handbook for the year they commenced the course.

    However, the subject links below do not contain the subject information for the current year. You can view current subject information through the new Course Handbook.

Graduate Certificate in Mathematical Studies

Testamur Title of Degree:

 Graduate Certificate in Mathematical Studies

Abbreviation:

 GCertMathSt

UOW Course Code:

 2126

CRICOS Code:

 094752D

Study Area / Disciplines / My University Key words:

Mathematics, Applied Statistics, Maths, Industrial Mathematics, Pure Mathematics, Survey, Census Design, Analysis, Data Mining, Finance.

Total Credit Points:

 24

Duration:

 6 months full-time of part-time equivalvent

Home Faculty:

 Faculty of Engineering & Information Sciences

Intake Session(s):

 Exit path only

Delivery Mode:

On-campus (face-to-face) 

Delivery Campus / UAC Code:

Wollongong 

Overview

The Graduate Certificate of Mathematical Studies is designed to consolidate and expand the mathematics or statistics knowledge gained in undergraduate studies and to introduce candidates to mathematical or statistical research. The Graduate Certificate of Mathematical Studies is only open to candidates who commence postgraduate courses in the School of Mathematics and Applied Statistics, who have completed the required subjects of the relevant postgraduate program and who do not wish to continue with that program.

Entry Requirements

This is an early exit degree for students admitted to postgraduate course in the School of Mathematics and Applied Statistics.

Course Learning Outcomes

Course Learning Outcomes are statements of learning achievement that are expressed in terms of what the learner is expected to know, understand and be able to do upon completion of a course. Students graduating from this course will be able to demonstrate:

CLO Description
1 Review, analyse, consolidate and synthesise theoretical and technical knowledge in mathematics or statistics;
2 Develop cognitive and technical skills in either mathematics or statistics to independently analyse and generate solutions to complex problems
3 Interpret and transmit mathematical or statistical knowledge, skills and ideas to others;
4 Apply knowledge and skills ethically to demonstrate sound judgement as a mathematician or statistician.

Course Structure

The degree requires satisfactory completion of at least 24 credit points of subjects from postgraduate courses in the School of Mathematics and Applied Statistics, including MATH907 and no more than 6 credit points of List A. The remaining subjects are to be completed from List B (see the list below). The selection of subjects must be approved by the Academic Program Director, as appropriate.

Subject Code Subject Name Credit Points
Compulsory Subject
MATH907 Research Methods 6
List A
MTH8201 Multivariate and Vector Calculus 6
MTH8202 Differential Equations 2 6
MTH8203 Linear Algebra 6
MTH8204 Complex Variables and Group Theory 6
MTH8212 Applied Mathematical Modelling 2 6
MTH8222 Continuous Mathematics 6
MTH8231 Probability and Random Variables 6
MTH8232 Estimation and Hypothesis Testing 6
MTH8302  Differential Equations 3 6
MTH8305 Partial Differential Equations 6
MTH8312 Applied Mathematical Modelling 3 6
MTH8313 Industrial Mathematical Modelling 6
MTH8317 Financial Calculus 6
MTH8318 Operations Research 6
MTH8321 Numerical Analysis 6
MTH8322 Algebra 6
MTH8323 Topology and Chaos 6
MTH8324 Calculus of Variations and Geometry 6
MTH8325 Wavelets 6
MTH8329 Medical Mathematics and Applications 6
MTH8304 Applied Probability and Financial Risk 6
MTH8332 Linear and Generalised Linear Models 6
MTH8333 Statistical Inference 6
MTH8335 Sample Surveys and Experimental Design 6
List B - at least 12 credit points from this list 
INFO811 Data Mining and Knowledge Discovery 6
INFO812 Mathematics for Cryptography 6
MATH802 Differential Equations 3 (Enhanced) 6
MATH805 Partial Differential Equations (Enhanced) 6
MATH812 Applied Mathematical Modelling 3 (Enhanced) 6
MATH813 Industrial Mathematical Modelling (Enhanced) 6
MATH817 Financial Calculus (Enhanced) 6
MATH818 Operations Research (Enhanced) 6
MATH821 Numerical Analysis (Enhanced) 6
MATH822 Algebra (Enhanced) 6
MATH823 Topology and Chaos (Enhanced) 6
MATH824 Calculus of Variations and Geometry (Enhanced) 6
MATH825 Wavelets (Enhanced) 6
MATH829 Medical Mathematics and Applications (Enhanced) 6
STAT804 Applied Probability and Financial Risk (Enhanced) 6
STAT832 Linear and Generalised Linear Models (Enhanced) 6
STAT833 Statistical Inference (Enhanced) 6
STAT835 Sample Surveys and Experimental Design (with Project) 6

 

Other Information

For further information please email: eis@uow.edu.au

Last reviewed: 24 November, 2017