Science - Postgraduate courses

Graduate Certificate in Mathematical Sciences


UTS course code: C11147 Testamur title: Graduate Certificate in Mathematical Sciences Abbreviation: GradCertMathSc Course Director: Dr Peter Petocz Course fee: $220 per cp (local)¹ Total credit points: 12 Footnotes: 1. This course is not offered to international students. Overview Admission requirements Course duration Course structure Course program Rules and regulations Other information Overview The Graduate Certificate in Mathematical Sciences has been developed in response to a demand for short courses in mathematics, statistics, operations research and computational mathematics. It provides those employed in industry with access to additional training or retraining in quantitative disciplines. Admission requirements Applicants are normally expected to hold a Bachelor's degree, or higher qualification, from a recognised tertiary institution. Applicants who do not possess such qualifications are considered on an individual basis. Prior to their admission, all applicants are required to discuss their preferred program of study with the Course Director for Postgraduate Programs (Mathematics) in order to ensure that they have the requisite background knowledge for their chosen subject sequences. Course duration The course is offered on a part-time basis over two semesters. Course structure The course has a flexible structure and the wide range of subjects offered in the other postgraduate and undergraduate courses in the Mathematical Sciences is available to intending students. Students may undertake any sequence of subjects offered by the Department with a total value of 12 credit points, provided that individual subject prerequisites are satisfied. Course program A number of coherent subject sequences in the areas of mathematics, computational mathematics, operations research and statistics are possible. Samples of these are listed below. Some computing subjects require extra attendance for laboratory work. Details are given in the Subject Descriptions section of this handbook. Computational mathematics Sequence A Theme: Elementary numerical methods Presumed knowledge Equivalent to introductory courses in calculus, linear algebra and differential equations, and an elementary knowledge of a symbolic algebra package such as Mathematica. Program of study 35170 Introduction to Computing 6cp 35281 Numerical Methods 6cp Sequence B Theme: Numerical analysis Presumed knowledge Equivalent to introductory courses in calculus, linear algebra and differential equations, an elementary knowledge of the C language and a symbolic algebra package such as Mathematica. Program of study 35281 Numerical Methods 6cp 35382 Numerical Analysis 2 6cp Mathematics Sequence A Theme: Differential equations Presumed knowledge Equivalent to introductory courses in calculus and linear algebra. Program of study 35102 Mathematics 2 6cp 35231 Differential Equations 6cp Sequence B Theme: Modern and linear algebra Presumed knowledge Equivalent to introductory courses in matrix algebra and discrete mathematics. Program of study 35212 Linear Algebra 6cp 35314 Pure Mathematics 3B 6cp Sequence C Theme: Analysis with Applications to Probability Theory Presumed knowledge Equivalent to introductory courses in calculus, differential equations and linear algebra. Program of study 35321 Analysis 1 6cp 35322 Analysis 2 6cp Operations research Sequence A Theme: Financial modelling Presumed knowledge Equivalent to intermediate courses in calculus, linear algebra and statistics. Program of study 35241 Optimisation 1 6cp 35340 Operations Research Practice 6cp Sequence B Theme: Techniques of mathematical programming Presumed knowledge Equivalent to intermediate courses in calculus and linear algebra. Program of study 35241 Optimisation 1 6cp 35342 Optimisation 2 6cp Sequence C Theme: Simulation and decision support Presumed knowledge Equivalent to intermediate courses in calculus and statistics. Program of study 35361 Probability and Stochastic Processes 6cp 35363 Simulation Modelling 6cp Statistics Sequence A Theme: Analysis of experimental data Presumed knowledge Equivalent to introductory courses in calculus and statistics. Program of study 35252 Statistics 2 6cp 35353 Regression Analysis 6cp Sequence B Theme: Industrial applications of statistics Presumed knowledge Equivalent to intermediate courses in calculus and statistics. Program of study 35355 Quality Control 6cp 35361 Probability and Stochastic Processes 6cp Sequence C Theme: Mathematical statistics Presumed knowledge Equivalent to intermediate courses in calculus and statistics. Program of study 35356 Design and Analysis of Experiments 6cp 35361 Probability and Stochastic Processes 6cp Rules and regulations Students will have their registration discontinued for failure to complete the course in three semesters from the time of registration in the case of a part-time student, or two semesters from that time in the case of a full-time student, not inclusive of periods of leave of absence (Rule 3.2.6.1). Other information All academic inquiries should be made to: Course Director, Graduate Certificate in Mathematical Sciences Dr Peter Petocz Department of Mathematical Sciences telephone (02) 9514 2264 fax (02) 9514 1531 email Peter.Petocz@uts.edu.au