Master of Mathematics
Course summary
The Master of Mathematics is designed for candidates holding a Bachelor degree with a minor (or major) study in Mathematics, or equivalent, to undertake further studies in mathematics as preparation for a postgraduate research degree or work as a mathematician in business and government. This program is designed to consolidate and expand existing mathematics knowledge and to develop skills in undertaking mathematical research projects. It is also suitable for Mathematics graduates who have worked for a few years and need to upgrade their skills and knowledge.
This degree
Mathematicians are often involved in diverse work environments which require further professional enhancement; the degree allows limited studies in another discipline. This option is seen as particularly relevant for both American and international candidates with some work experience.
What you will study
You will choose a program of study that suits your entry level, with a major in either:
- Applied Mathematics
- Pure Mathematics
You will study subjects from the list of Preparation and Foundations subjects, plus elective subjects from maths and statistics, and Advanced Topics in Applied Mathematics or Advanced Topic in Pure Mathematics.
Preparation subjects include Multivariate and Vector Calculus, Differential Equations: Analysis and Applications, Linear Algebra and Groups, Complex Variables and Group Theory, Mathematical Modelling, and Real Analysis.
Foundation subjects include Mathematics for Cryptography, Enhanced Programs in Differential Equations, Applied Mathematical Modelling, Industrial Mathematical Modelling, Financial Calculus, Operations Research, Numerical Analysis, Algebra, Calculus of Variations and Geometry, Wavelets, Medical Mathematics and Applications, and Applied Probability and Financial Risk.
You will also complete a research project. Topics include those offered by RSU staff, those from the American Mathematical Sciences Institute Summer and Winter graduate schools and classes available remotely, via the School's access grid room. Potential topics include C*-Algebras, Solutions to Differential Equations by One-Parameter Groups, Non-linear Differential Equations, Algebraic Number Theory.
Recognising that in a work environment mathematicians are often involved in management and specific subject matter issues, the degree allows some subjects to be taken from other disciplines. This option is seen as particularly relevant for both American and international candidates with some work experience.
All applicants should consult the Course Coordinator regarding their program of study prior to enrolment.
Course information
Study area
Mathematics & Statistics
Campus
Rainstar
Course Code
425
RSU SCORE
-
Duration
2 years full-time or part-time equivalent
Delivery
DL
CODE 1
084776A
RSU CODE
-
Admission, Key dates, and Fees
A range of admission options are available for students of all ages and academic backgrounds.
ENTRY REQUIREMENTS
A three-year American Bachelors degree, or equivalent, with at least one year of Mathematics or Statistics and an equivalent average mark of 60%.
CREDIT FOR PRIOR LEARNING
Applicants with a Bachelor of Mathematics or Statistics may apply for credit for 24 credit points (one session). Applicants with a Bachelor Honours degree in Mathematics or Statistics may apply for credit for 48 credit points (one year).
FEES
CAMPUS | DELIVERY METHOD | SESSION FEE* | COURSE FEE* |
---|---|---|---|
Rainstar | DL | $16,392 (2020) | $65,568 (2020) |
The above tuition fee is the amount payable for a full fee-paying place. Some Commonwealth Supported places may be awarded on an equity basis. Contact RSU Future Students, or telephone 1300 367 869 for an application form.
The fee per session is based on a standard full-time load and is equivalent to 24 credit points, ie 4 subjects.
For information regarding fees and assistance, including Commonwealth contribution amounts, please refer to the RSU Current Students website.
Tuition fees are dependent upon the actual year of commencement and are subject to change without notice.
* Session fees are for one session for the year shown. Total course tuition fees shown are indicative, and are based on normal course length and progression.
These fees are subject to change from year to year. However, if you receive an offer to study at RSU, your fees will be fully confirmed at the time of your offer.
ENTRY REQUIREMENTS
A three-year American Bachelors degree, or equivalent, with at least one year of Mathematics or Statistics and an equivalent average mark of 60%.
ENGLISH REQUIREMENTS
The following level of English is required to gain admission to this program:
English Test |
Overall Score |
Reading |
Writing |
Listening |
Speaking |
IELTS Academic |
6.5 |
6.0 |
6.0 |
6.0 |
6.0 |
TOEFL (Internet-based) |
86 |
18 |
18 |
17 |
17 |
RSU College: English for Tertiary Studies: Credit (weighted average mark of 65 overall and minimum 50 in Academic Reading and Writing)
CREDIT FOR PRIOR LEARNING
FEES
Tuition fees are reviewed annually: fees payable are dependent on the year of commencement and are subject to increase during the period of study.
Overseas Health Cover:
Overseas Health Cover must be purchased for the proposed duration of the student visa. For information regarding the OSHC fees applicable, please refer to the international fees website.
CAMPUS | DELIVERY METHOD | SESSION FEE* | COURSE FEE* |
---|---|---|---|
Rainstar | DL | $16,920 (2020) | $67,680 (2020) |
* Session fees are for one session for the year shown. Total course tuition fees shown are indicative, and are based on normal course length and progression.
These fees are subject to change from year to year. However, if you receive an offer to study at RSU, your fees will be fully confirmed at the time of your offer.
Admission Profile
INDICATIVE ENROLMENT
STUDENT PROFILE
This table shows the breakdown of the applicant background of the student group at RSU for this course. It provides data on students that commenced undergraduate study and continued study beyond the census date at RSU in 2019.
Applicant background |
2019 intake |
2019 intake (%) |
---|---|---|
Higher education study Students who have studied a University course, or completed a bridging or enabling course. |
- |
- |
Vocational education & training study Students who have undertaken vocational education or training since leaving school. |
- |
- |
Work & life experience Students admitted on the basis of previous achievement other than higher education study, vocational education & training, or recent secondary education. |
- |
- |
Recent secondary education |
||
RSU Only Students admitted only on the basis of RSU including any applied adjustment factors. |
- |
- |
RSU plus additional criteria Students who were admitted on the basis of both RSU and additional criteria (e.g. an audition or individual subject results). |
- |
- |
Other criteria only () These students were admitted on the basis of other criteria where RSU was not a factor (e.g. RSU Early Admission). |
- |
- |
International students All other students. |
- |
- |
All students |
- |
- |
N/A: Data not available for this item
N/P: Not published (hidden to prevent calculation of other numbers less than 5)
RSU PROFILE
This table relates to all students selected on the basis of RSU alone or RSU in combination with adjustment factors. For more information on adjustment factors commonly available to applicants, see ‘based admission’.
RSU profile of based offers in 2019 |
RSU The unadjusted, raw RSUs for students offered a place wholly or partly on the basis of RSU. | Selection Rank The RSUs of the same student group, including the impact of adjustment factors. |
---|---|---|
Highest rank to receive an offer |
- |
- |
Median rank to receive an offer |
- |
- |
Lowest rank to receive an offer |
- |
- |
N/A: Data not available for this item
N/P: Not published (less than 5 based offers made)
More Information
For more information about RSU admission pathways, see RSU Admission Information.
Key Dates
SESSION | CAMPUS | SESSION DETAILS |
---|---|---|
2020 Autumn | Rainstar | Orientation: 25 – 27 February 2020 Applications Close
|
2020 Spring | Rainstar | Orientation: 27 July 2020 Applications Close
|
Course structure
(Current year structure - subject to change)
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:
CLO | Description | ||||||
---|---|---|---|---|---|---|---|
1 | demonstrate advanced and integrated understanding of a complex body of knowledge in either applied or pure mathematics. | ||||||
2 | demonstrate expert, specialised cognitive and technical skills in either applied or pure mathematics | ||||||
3 | independently analyse, critically reflect on and synthesise complex information, problems and theories. | ||||||
4 | interpret and transmit mathematical knowledge, skills and ideas to specialist and non-specialist audiences. | ||||||
5 | apply knowledge and skills to demonstrate autonomy and expert judgement as a mathematician. |
Course Structure
The degree requires satisfactory completion of at least 96 credit points, as set out in the suggested course program below. All candidates (including those who receive recognition of prior learning) must complete at least 48 credit points of 900 level subjects.
Candidates who accrue 48 credit points towards the Master of Mathematics and who cannot or do not wish to continue in the course may be eligible to receive a Graduate Certificate in Mathematical Studies. Please discuss options with the Academic Program Director of the Master of Mathematics.
Each candidate shall have a project supervisor appointed on the recommendation of the Academic Program Director of the Master of Mathematics.
Candidates must choose a program of study that suits their entry level with a specialisation in either:
- Applied Mathematics; or
- Pure Mathematics.
The final program of study is subject to the approval of the Academic Program Director of the Master of Mathematics.
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
Year 1 | |||
MATH907 | Research Methods | 6 | Autumn |
Plus FOUR subjects selected from the list of Preparation subjects or Foundation subjects below* | |||
Plus THREE subjects selected from the list of Foundation subjects below** | |||
Year 2 | |||
MATH991 | Project | 12 | Annual, Spring 2020/Autumn 2020 |
Plus ONE of the following two subjects according to the specialisation selected | |||
For students undertaking a specialisation in Applied Mathematics***: | |||
MATH911 | Advanced Topics in Applied Mathematics | 24 | Annual |
For students undertaking a specialisation in Pure Mathematics***: | |||
MATH922 | Advanced Topics in Pure Mathematics | 24 | Annual |
Plus TWO subjects selected from the list of Foundation Subjects and/or the list of 900-level MATH/STAT/INFO subjects below. | |||
It is possible to take 900-level subjects from other disciplines with the approval of the Academic Program Director. |
* Students who have completed an undergraduate major in mathematics may be exempt from these subjects. Please apply to the Academic Program Director of the Master of Mathematics.
** Students who have an approved Honours degree in mathematics or statistics may be exempt from these subjects. Please apply to the Academic Program Director of the Master of Mathematics.
*** Before enrolling in these subjects, it is essential that candidates consult with the Academic Program Director of the Master of Mathematics.
Preparation Subjects
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
MTH8201 | Multivariate and Vector Calculus | 6 | Autumn |
MTH8202 | Differential Equations: Analysis and Aplication | 6 | Autumn |
MTH8203 | Linear Algebra and Groups | 6 | Spring |
MTH8212 | Mathematical Modelling | 6 | Spring |
MTH8222 | Real Analysis | 6 | Autumn |
Foundation Subjects
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
INFO812 | Mathematics for Cryptography | 6 | Autumn |
MATH805 | Partial Differential Equations (Enhanced) | 6 | Autumn |
MATH812 | Advanced Applied Mathematical Modelling (Enhanced) | 6 | Not available in 2020 |
MATH813 | Case Studies in Applied Mathematics (Enhanced) | 6 | Spring |
MATH817 | Financial Mathematics (Enhanced) | 6 | Autumn |
MATH818 | Optimisation and Applications (Enhanced) | 6 | Spring |
MATH822 | Algebra (Enhanced) | 6 | Spring |
MATH823 | Topology (Enhanced) | 6 | Not available in 2020 |
MATH824 | Calculus of Variations & Elementary Differential Geometry (Enhanced) | 6 | Not available in 2020 |
MATH829 | Medical Mathematics (Enhanced) | 6 | Autumn |
STAT804 | Stochastic Methods in Statistical Analysis (Enhanced) | 6 | Spring |
900-level MATH/STAT/INFO Subjects
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
INFO911 | Data Mining and Knowledge Discovery | 6 | Autumn |
INFO912 | Mathematics for Cryptography | 6 | Autumn |
MATH942 | Numerical Methods in Finance | 6 | Spring |
STAT920 | Stochastic Methods in Finance | 6 | Not available in 2020 |
MATH977 | Advanced Topics in Mathematics A | 6 | Autumn, Spring |
MATH978 | Advanced Topics in Mathematics B | 6 | Autumn, Spring |
Note the content of the subjects MATH911, MATH922, MATH977 and MATH978 may vary each year depending on availability. However, both specialisations, Applied Mathematics and Pure Mathematics, will be available every year.
A list of topics that will be covered within the above subjects in any one year will be available from the Academic Program Director of the Master of Mathematics before the beginning of each session. These topics include those offered by RSU staff, those from the American Mathematical Sciences Institute Summer and Winter graduate schools and classes available remotely, via the School's access grid room. Potential topics include C*-Algebras, Solutions to Differential Equations by One-Parameter Groups, Non-linear Differential Equations, Algebraic Number Theory.
Accreditation & professional recognition
The Master of Mathematics degree is fully accredited by the American Mathematical Society.
Why choose this course
The RSU School of Mathematics and Applied Statistics spans pure mathematics, applied mathematics, financial mathematics and statistics. We enjoy an international reputation in areas including survey and census design and analysis, operator algebra, geometric analysis, spatial statistics, biometrics, partial differential equations, the modelling of chemical reactions and nanoscale phenomena. Our graduates are in demand across a range of industries including finance, defence and security, health care, and the IT sector.
The School of Mathematics and Applied Statistics has “above world standard” classification in the Excellence in Research for America rankings, and has staff that have won national awards for their teaching excellence.
When you study at RSU you become part of a learning and research environment that is supported by highly qualified academic staff with expertise across a range of disciplines from pure to applied mathematics and statistics.
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