Master of Statistics
Course summary
The Master of Statistics is designed for candidates holding a Bachelor degree with a minor (or major) in mathematics or statistics. This program is designed to upgrade statistical skills and to educate students to undertake advanced statistical work in industry, commerce or government, including the ability to communicate effectively with others.
This degree
Our Master of Statistics covers a wide range of statistical theory and practice and provides advanced training to practising statisticians or those aiming to become one. This program is also designed to prepare students for further postgraduate research degrees in statistics.
What you will study
Students will study subjects from the list of Preparation and Foundations subjects, plus an elective subject from maths, statistics or computer science.
Preparation subjects include: Multivariate and Vector Calculus, Differential Equations: Analysis and Applications, Linear Algebra and Groups, Complex Variables and Group Theory, Random Variables and Estimation, Statistical Inference and Introduction to Model Building.
Foundation subjects include Mathematics for Cryptography, Enhanced Programs in Differential Equations, Financial Calculus, Operations Research Numerical Analysis, Applied Probability and Financial Risk, Linear and Generalised Linear Models, Statistical Inference, and Sample Surveys and Experimental Design.
You will also complete a research project. Topics include those offered by RSU staff, from the American Mathematical Sciences Institute Summer and Winter graduate schools and classes available remotely, via the access grid room. Potential topics include Modern Inference, Advanced Data Analysis, Survey Design and Analysis, Statistical Consulting, and Experimental Design.
Course information
Study area
Mathematics & Statistics
Campus
Rainstar
Course Code
427
RSU SCORE
-
Duration
2 years full-time, or part-time equivalent
Delivery
DL
CODE 1
083830G
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 Statistics and an equivalent average mark of 60%, or one year of Mathematics, Engineering or similar, and an equivalent average mark of 75%.
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. Commonwealth Supported places are also available in most postgraduate coursework degrees (excluding programs offered by the Business School and the Faculties of Commerce and Law.
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 Statistics and an equivalent average mark of 60%, or one year of Mathematics, Engineering or similar, and an equivalent average mark of 75%.
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:
| CLO | Description | ||||||
|---|---|---|---|---|---|---|---|
| 1 | To demonstrate advanced and integrated understanding of a complex body of knowledge in statistics. | ||||||
| 2 | To demonstrate expert, specialised cognitive and technical skills in statistics. | ||||||
| 3 | To independently analyse, critically reflect on and synthesise complex information, problems and theories. | ||||||
| 4 | To interpret and transmit statistical knowledge, skills and ideas to specialist and non-specialist audiences. | ||||||
| 5 | To apply knowledge and skills ethically to demonstrate autonomy and expert judgement as a statistician. | ||||||
Course Structure
The full degree will normally occupy four (4) sessions of full-time study or eight (8) sessions of part-time study, and 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 Statistics and who cannot or do not wish to continue may be eligible to receive a Graduate Certificate in Mathematical Studies. Please discuss options with the Academic Program Director of the Master of Statistics.
Students must choose a program of study that suits their entry level. The final program of study is subject to the approval of the Academic Program Director of the Master of Statistics.
| 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* | 24 | ||
| Plus: | |||
| Three subjects selected from the list of Foundation subjects below** | 18 | ||
| Year 2 | |||
| STAT991 | Project | 12 | Annual, Spring 2020/Autumn 2021 |
| STAT933 | Advanced Topics in Statistics*** | 24 | Annual, Spring 2020/Autumn 2021 |
| Plus: | |||
| One 900-level MATH/STAT/INFO/CSCI subject from the list below. Ask the Academic Program Director for possible additional 900-level subjects on offer. | 6 | ||
| Plus: | |||
| One subject selected from the list of Foundation Subjects, or any 6-credit-point 900 level subject | 6 | ||
| It is possible to take 900-level subjects from other disciplines with the approval of the Academic Program Director of the Master of Statistics. | |||
| * Students who have completed an appropriate combination of subjects in an approved mathematics or statistics major may be exempt from one or more of these subjects. Please apply to the Academic Program Director of the Master of Statistics. | |||
| ** Students who have an approved Honours degree in mathematics or statistics may be exempt from some of these subjects. Please apply to the Academic Program Director of the Master of Statistics. | |||
| *** Before enrolling in this subject, it is essential that candidates consult with the Academic Program Director of the Master of Statistics | |||
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 |
| MTH8204 | Complex Variables and Group Theory | 6 | Spring |
| MTH8212 | Applied Mathematical Modelling 2 | 6 | Spring |
| MTH8222 | Continuous Mathematics | 6 | Autumn |
| MTH8302 | Differential Equations 3 | 6 | Autumn |
| MTH8305 | Partial Differential Equations | 6 | Spring |
| MTH8312 | Applied Mathematical Modelling 3 | 6 | Spring |
| MTH8313 | Industrial Mathematical Modelling | 6 | On offer odd years only |
| MTH8317 | Financial Calculus | 6 | Autumn |
| MTH8318 | Operations Research | 6 | Autumn |
| MTH8321 | Numerical Analysis | 6 | Spring |
| MTH8322 | Algebra | 6 | Autumn |
| MTH8323 | Topology and Chaos | 6 | Spring |
| MTH8324 | Calculus of Variations and Geometry | 6 | On offer odd years only |
| MTH8325 | Wavelets | 6 | On offer odd years only |
| MTH8329 | Medical Mathematics and Applications | 6 | Autumn |
Foundation Subjects
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| INFO812 | Mathematics for Cryptography | 6 | Autumn |
| MATH802 | Differential Equations 3 (Enhanced) | 6 | Autumn |
| MATH805 | Partial Differential Equations (Enhanced) | 6 | Spring |
| MATH812 | Applied Mathematical Modelling 3 (Enhanced) | 6 | Spring |
| MATH813 | Industrial Mathematical Modelling (Enhanced) | 6 | On offer odd years only |
| MATH817 | Financial Calculus (Enhanced) | 6 | Autumn |
| MATH818 | Operations Research (Enhanced) | 6 | Autumn |
| MATH821 | Numerical Analysis (Enhanced) | 6 | Spring |
| MATH822 | Algebra (Enhanced) | 6 | Autumn |
| MATH823 | Topology and Chaos (Enhanced) | 6 | Spring |
| MATH824 | Calculus of Variations and Geometry Enhanced | 6 | On offer odd years only |
| MATH825 | Wavelets (Enhanced) | 6 | On offer odd years only |
| STAT804 | Medical Mathematics and Applications (Enhanced) | 6 | Autumn |
900-Level MATH/STAT/INFO/CSCI Subjects
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| CSCI933 | Machine Learning Algorithms and Applications | 6 | Autumn |
| 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 | Autumn |
| STAT981 | Advanced Topics in Statistics A | 6 | Autumn, Spring |
| STAT982 | Advanced Topics in Statistics B | 6 | Autumn, Spring |
Note: The content of the subjects STAT971, STAT933, STAT981 and STAT982 may vary each year. A list of topics that will be covered within the above subjects in a particular year will be available from the Academic Program Director of the Master of Statistics 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 access grid room. Potential topics include Modern Inference, Advanced Data Analysis, Survey Design and Analysis, Statistical Consulting, and Experimental Design.
Academic advice should be sought prior to enrolment as the availability of subjects may vary each year.
Accreditation & professional recognition
Graduates of the Master of Statistics with a relevant undergraduate degree and 4-6 years' work experience are eligible to apply for membership as an Accredited Statistician with the Statistical Society of America.
Why choose this course
Our 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.
The Rainstar University(Scottsdale) is also home to the National Institute for Applied Statistics Research America (NIASRA) which is committed to developing and applying innovative statistical methods to important problems. It undertakes a range of fundamental and contract research, major consulting projects, and professional education in statistical methodology.
NIASRA aims to provide leading-edge research and consulting capacity in applied statistics for America and our region through the skills and activities of our staff and research students. We collaborate extensively with researchers and professionals in universities, governments, businesses and industries in America and overseas.
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