C06097v1 Graduate Diploma in Mathematics and Statistics for Business and Finance
Award(s): Graduate Diploma in Mathematics and Statistics for Business and Finance (GradDipMathStat)UAC code: 942741 (Autumn semester), 945741 (Spring semester)
CRICOS code: 065346C
Commonwealth supported place?: No
Load credit points: 48
Course EFTSL: 1
Location: City campus
Note(s)
Holders of the UTS Bachelor of Science in Mathematics or Bachelor of Science in Statistics degree or equivalent are not eligible for admission to this course. Instead, they should consider the Graduate Certificate in Mathematics (C11210).
Overview
Course aims
Admission requirements
Credit recognition
Course duration and attendance
Course structure
Course completion requirements
Course program
Other information
Overview
A sound knowledge of mathematical and statistical methods is in ever growing demand in various government organisations, ranging from defence to education, and in such diverse fields as finance and public health, construction industry and agriculture, manufacturing and transportation. Despite the demonstrated and continuing demand for specialists trained in mathematics and statistics, most university graduates do not acquire the required knowledge in their bachelor's degrees.
This course is designed for applicants who need more mathematics and/or statistics in their everyday work or who wish to broaden their career choices.
Course aims
This course aims to provide a solid mathematical and statistical background by means of a flexible study program that can be tailored to suit university graduates who need this knowledge in their work or plan to pursue further studies.
Admission requirements
Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.
Applicants are expected to have knowledge in mathematics comparable with the following UTS Mathematical Sciences foundation stream subjects:
- 35101 Introduction to Linear Dynamical Systems
- 35102 Introduction to Analysis and Multivariable Calculus
- 35151 Introduction to Statistics.
Applicants who do not satisfy this requirement should instead consider enrolment in the Graduate Certificate in Mathematics (C11210).
The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 58-66
Eligibility for admission does not guarantee offer of a place.
International students
Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.
Credit recognition
Students can apply for exemption only from core subjects.
Course duration and attendance
The duration of the course depends on the choice of subjects and their availability. As a guide, minimum full-time attendance is one year of study and part-time attendance is two years of study. Applicants should be aware that subjects may require attendance at daytime classes. The current timetable is available at:
Course structure
Students are required to complete 48 credit points, comprising three core subjects and five electives (options). Elective subjects can be chosen from the list of options below but are not limited to it. Any elective which is not in the list of options below must be approved by the course director, postgraduate programs.
Many subjects offered by the Department of Mathematical Science have prerequisites. It is students' responsibility to check that they have the required knowledge specified by these prerequisites. Students are strongly advised not to enrol in any subject if they do not have knowledge equivalent to the subject's prerequisites.
Course completion requirements
35353 Regression Analysis | 6cp | |
35363 Stochastic Models | 6cp | |
35241 Optimisation in Quantitative Management | 6cp | |
Select 30 credit points from the following options: | 30cp | |
35100 Introduction to Sample Surveys | 6cp | |
35111 Applications of Discrete Mathematics | 6cp | |
35140 Introduction to Quantitative Management | 6cp | |
35212 Computational Linear Algebra | 6cp | |
35231 Differential Equations | 6cp | |
35232 Advanced Calculus | 6cp | |
35252 Mathematical Statistics | 6cp | |
35255 Forensic Statistics | 6cp | |
35322 Advanced Analysis | 6cp | |
35335 Mathematical Methods | 6cp | |
35340 Quantitative Management Practice | 6cp | |
35342 Nonlinear Methods in Quantitative Management | 6cp | |
35344 Network and Combinatorial Optimisation | 6cp | |
35355 Quality Control | 6cp | |
35356 Design and Analysis of Experiments | 6cp | |
35361 Stochastic Processes | 6cp | |
35383 High Performance Computing | 6cp | |
35391 Seminar (Mathematics) | 6cp | |
35393 Seminar (Statistics) | 6cp | |
Total | 48cp |
Course program
Three example programs are shown below.
The first program shows full-time attendance for Autumn-commencing students and is recommended for those who are interested in acquiring a solid mathematical background for pursuing a career in finance.
The second program shows full-time attendance for Autumn-commencing students and is recommended for those who need in-depth knowledge in quantitative management.
The third program shows full-time attendance for Autumn-commencing students and is recommended for those who wish to pursue a career in statistics.
Finance, Autumn commencing, full time | ||
Year 1 | ||
Autumn semester | ||
35232 Advanced Calculus | 6cp | |
35241 Optimisation in Quantitative Management | 6cp | |
35252 Mathematical Statistics | 6cp | |
35363 Stochastic Models | 6cp | |
Spring semester | ||
35322 Advanced Analysis | 6cp | |
35342 Nonlinear Methods in Quantitative Management | 6cp | |
35353 Regression Analysis | 6cp | |
35361 Stochastic Processes | 6cp | |
Quantitative Management, Autumn commencing, full time | ||
Year 1 | ||
Autumn semester | ||
35140 Introduction to Quantitative Management | 6cp | |
35212 Computational Linear Algebra | 6cp | |
35241 Optimisation in Quantitative Management | 6cp | |
35363 Stochastic Models | 6cp | |
Spring semester | ||
35340 Quantitative Management Practice | 6cp | |
35342 Nonlinear Methods in Quantitative Management | 6cp | |
35344 Network and Combinatorial Optimisation | 6cp | |
35353 Regression Analysis | 6cp | |
Statistics, Autumn commencing, full time | ||
Year 1 | ||
Autumn semester | ||
35241 Optimisation in Quantitative Management | 6cp | |
35252 Mathematical Statistics | 6cp | |
35356 Design and Analysis of Experiments | 6cp | |
35363 Stochastic Models | 6cp | |
Spring semester | ||
35100 Introduction to Sample Surveys | 6cp | |
35353 Regression Analysis | 6cp | |
35361 Stochastic Processes | 6cp | |
Select one of the following: | 6cp | |
35393 Seminar (Statistics) | 6cp | |
35355 Quality Control | 6cp |
Other information
Further information is available from the UTS Student Centre on:
telephone 1300 ask UTS (1300 275 887)
or +61 2 9514 1222
Ask UTS www.ask.uts.edu.au
