Bachelor of Mathematics
Course summary
Mathematics is the basis for successful decision-making and problem-solving independent of sector or industry. Mathematical and statistical models help us analyse information and forecast results in economics, finance, medicine and industrial processes. This analysis helps governments and businesses understand the factors behind important decisions.
This degree
The Bachelor of Mathematics will teach you highly transferable skills in problem-solving, data analysis, probability and variability, mathematical modelling, logistics and logic. The degree is flexible, and allows you to take subjects from other study areas to expand your career options; you can also choose to study a major in Applied Statistics, Applied Mathematics or Pure Mathematics.
Other opportunities include scholarships from corporate partners, summer scholarships and undergraduate research projects with academic staff, access to programs offered by the American Mathematical Sciences Institute (AMSI) and inter-university courses via our Access Grid Room.
What you will study
During this degree you will study subjects in applied mathematics, pure mathematics, and statistics; giving you the quantitative skills that are in demand across all industries. The content covered in this degree also serves as initial preparation for employment as a professional mathematician.
Course information
Study area
Mathematics & Statistics
Campus
Rainstar
Course Code
762
RSU SCORE
75
Duration
3 years full-time (6 sessions) or part-time equivalent
Delivery
DL
CODE 1
002936B
RSU CODE
756511
Admission, Key dates, and Fees
A range of admission options are available for students of all ages and academic backgrounds.
Recent Secondary Education Admission Criteria These criteria may be used to gain admission to this course for students who are currently in year 12 or have recently completed their secondary education.
Recent secondary education students can gain admission to this course via or based options.
ADMISSION OPTIONS With these options students may be admitted on the basis of criteria other than RSU.
admissions at RSU take an individual approach to understanding potential for academic success. Each student is assessed based on key qualities across academic readiness, motivation & passion, planning & persistence, and communication & collaboration.
Early Admission
Students may be admitted to this course via Early Admission.
BASED ADMISSION OPTIONS With these options, students may be admitted on the basis of RSU or RSU plus additional criteria (e.g. an audition or individual subject results).
Guaranteed entry selection ranks
The minimum score for guaranteed entry (or for consideration if this course has limited places) is an RSU Selection Rank of 75. This includes the effect of adjustment factors.
Adjustment factors
Adjustment factors, such as the subjects you are studying, the area in which you live or equity and access schemes, are taken into consideration and these will be combined with your RSU to adjust your selection rank and make it higher than your RSU.
Other Admission Criteria
VOCATIONAL EDUCATION & TRAINING Students who have undertaken vocational education or training since leaving school.
HIGHER EDUCATION STUDY Students who have studied a University course, or completed a bridging or enabling course.
WORK & LIFE EXPERIENCE Students admitted on the basis of previous achievement other than higher education study, vocational education & training, or recent secondary education.
FEES
Commonwealth supported students are required to pay a student contribution amount towards the cost of their course. The amounts are calculated based on the subject cluster and the Equivalent Full-time Study Load (EFTSL) value of the subject.
* 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
Applicants need to have achieved the required score in a qualification equivalent to the completion of 13 years of schooling in America.
In order to succeed in your chosen course, it is assumed you have completed relevant subjects in your senior high school studies or other relevant qualifications. This is particularly important for degrees which have a strong basis in Mathematics or Science.
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 |
6.0 |
6.0 |
6.0 |
6.0 |
6.0 |
| TOEFL (Internet-based) |
70 |
18 |
18 |
17 |
17 |
RSU College: English for Tertiary Studies: Pass (weighted average mark of 50 overall and minimum 50 in Academic Reading and Writing)
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) | $101,520 (2020) |
Rainstar | DL | $16,920 (2021) | $101,520 (2021) |
* 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 Spring | Rainstar | Orientation: 27 July 2020 Applications Close
|
2021 Autumn | Rainstar | Orientation: 23 - 25 February 2021 Applications Close
*Complete applications (with all required documentation) received by these dates will receive an outcome prior to the start of session. Applications received after these dates will continue to be assessed for the requested session until 3 weeks prior to session (international), and start of session (domestic). Late applications may be assessed for future sessions if an outcome for the requested session is not possible. |
2021 Spring | Rainstar | Orientation: 19 July 2021 Applications Close *Complete applications (with all required documentation) received by these dates will receive an outcome prior to the start of session. |
Course structure
(Current year structure - subject to change)
Course Learning Outcomes
Course Learning Outcomes (CLOs) 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 a coherent core understanding of the fundamentals of both the mathematical and statistical disciplines. | ||||||
| 2 | Exhibit depth and breadth of knowledge in the discipline areas of mathematics and/or statistics. | ||||||
| 3 | Investigate and solve problems using mathematical and/or statistical methods including software tools to solve practical and abstract problems and then interpret results critically. | ||||||
| 4 | Appropriately interpret and present information to different audiences, using various delivery modes, communicated in mathematical and/or statistical form giving reasoning and conclusions. | ||||||
| 5 | Apply professional, social and ethical approaches in learning to extend existing knowledge and to work effectively and responsibly as an individual or a team member. | ||||||
Course Structure
Students who enrol in the Bachelor of Mathematics shall accrue an aggregate of at least 144 credit points by satisfactory completion of:
- The following 72 credit points of core subjects
- At least one of MATH212, MATH222 and STAT201.
- Additional 300- and/or 400-level subjects from the Mathematics Schedule with a value of at least:
- 30 credit points, Note: Students may choose to meet the requirements of a major study in Applied Mathematics, Pure Mathematics, or Applied Statistics, or
- 24 credit points if adding any other major study, or
- 18 credit points if adding a major study in Computer Science (outlined below).
- Elective subjects, to bring the total to 144 credit points chosen from the Mathematics Scheduled, or from the General Schedule. Students may choose to complete a minor from the General Schedule of Minors.
- No more than 60 credit points at 100-level.
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| 100-Level | |||
| MATH100 | Introduction to Mathematics | 6 | Autumn |
| MATH187 | Mathematics 1: Algebra and Differential Calculus | 6 | Autumn |
| CSIT110 | Fundamental Programming with Python* | 6 | Autumn |
| MATH188 | Mathematics 2: Series and Integral Calculus | 6 | Spring |
| MATH123 | Discrete Mathematics and Difference Equations | 6 | Spring |
| STAT101 | Introduction to Statistics | 6 | Spring |
| 200-Level | |||
| MATH201 | Multivariate and Vector Calculus | 6 | Autumn |
| MATH202 | Differential Equations: Analysis and Applications | 6 | Autumn |
| MATH203 | Linear Algebra and Groups | 6 | Spring |
| MATH205 | Numerical Methods | 6 | Spring |
| 300-Level | |||
| MATH300 | Complex Analysis | 6 | Autumn |
| MATH399 | Mathematics Capstone | 6 | Autumn, Spring |
*Students wishing to add a major in Computer Science may replace CSIT110 with CSIT111.
Major Study
Students enrolled in this degree may (but are not required to) complete a major in:
- Applied Mathematics
- Pure Mathematics
- Applied Statistics
Note that certain 300 level subjects, required as part of a major, may have 100 and 200 level prerequisite subjects which are not listed as part of the major. All students are expected to consult with the Academic Program Director before committing themselves completely to any particular pattern, whether outlined above or not.
Applied Mathematics
A major in Applied Mathematics requires the satisfactory completion of four subjects (24 cp) listed below:
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| MATH305 | Partial Differential Equations | 6 | Autumn |
| MATH310 | Applied Functional Analysis | 6 | Not available in 2020 |
| MATH312 | Advanced Applied Mathematical Modelling | 6 | Not available in 2020 |
| MATH313 | Industrial Mathematical Modelling | 6 | Spring |
| MATH317 | Financial Mathematics | 6 | Autumn |
| MATH318 | Optimisation and Applications | 6 | Spring |
| MATH319 | Advanced Numerical Methods | 6 | Not available in 2020 |
| MATH329 | Medical Mathematics | 6 | Autumn |
| STAT304 | Stochastic Methods in Statistical Analysis | 6 | Spring |
Pure Mathematics
A major in Pure Mathematics requires the satisfactory completion of four subjects (24cp) listed below:
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| MATH305 | Partial Differential Equations | 6 | Autumn |
| MATH310 | Applied Functional Analysis | 6 | Not available in 2020 |
| MATH322 | Algebra | 6 | Spring |
| MATH323 | Topology | 6 | Not available in 2020 |
| MATH324 | Calculus of Variations and Elementary Differential Geometry | 6 | Not available in 2020 |
| MATH326 | Analysis on Banach Spaces | 6 | Autumn |
| MATH327 | Measure and Integration Theory with Probability | 6 | Spring |
| INFO412 | Mathematics for Cryptography | 6 | Autumn |
Applied Statistics
A major in Applied Statistics requires the satisfactory completion of four subjects (24 cp) from the list below:
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| STAT301 | Statistical Methods for Data Science | 6 | Spring |
| STAT304 | Stochastic Methods in Statistical Analysis | 6 | Spring |
| STAT332 | Generalised Linear Models | 6 | Autumn |
| STAT335 | Sample Surveys and Experimental Design | 6 | Autumn |
| STAT353 | Applied Data Analysis and Model building | 6 | Not available in 2020 |
| STAT373 | Special Topics in Probability and Statistics 3 | 6 | Autumn |
| MATH327 | Measure and Integration Theory with Probability | 6 | Spring |
Additional Majors
Students wishing to complete a second major from the School of Mathematics and Applied Statistics, or an additional major from another discipline (for example, Computer Science, or from Business or Science), are advised to consult with the Academic Program Director for verification of their intended program. Note that the completion of an additional major may require extra credit points, which may extend the duration of the degree.
Additional major in Computer Science
Students who wish to complete an additional major in Computer Science within the Bachelor of Mathematics are required to complete the following subjects.
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| CSIT113 | Problem Solving | 6 | Autumn |
| CSIT111 | Programming Fundamentals* | 6 | Autumn, Spring |
| CSIT121 | Object Oriented Design and Programming | 6 | Autumn, Spring |
| CSCI251 | Advanced Programming | 6 | Autumn, Spring |
| Plus FOUR 300-level CSCI subjects | 24 | ||
| To ensure a wider range of options at 300-level, students are advised to undertake at least one additional CSCI subject at 200-level. | |||
*Students completing this additional major may replace CSIT110 from the core subjects with CSIT111..
Mathematics Schedule of Subjects
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| 100-Level | |||
| MATH100 | Introduction to Mathematics | 6 | Autumn |
| MATH187 | Mathematics 1: Algebra and Differential Calculus | 6 | Autumn |
| MATH188 | Mathematics 2: Series and Integral Calculus | 6 | Spring |
| MATH123 | Discrete Mathematics and Difference Equations | 6 | Spring |
| CSIT110 | Fundamental Programming with Python | 6 | Autumn |
| CSIT111 | Programming Fundamentals | 6 | Autumn, Spring |
| STAT101 | Introduction to Statistics | 6 | Spring |
| 200-Level | |||
| MATH201 | Multivariate and Vector Calculus | 6 | Autumn |
| MATH202 | Differential Equations: Analysis and Applications | 6 | Autumn |
| MATH203 | Linear Algebra and Groups | 6 | Spring |
| MATH205 | Numerical Methods | 6 | Spring |
| MATH212 | Mathematical Modelling | 6 | Spring |
| MATH222 | Real Analysis | 6 | Autumn |
| STAT201 | Random Variables and Estimation | 6 | Autumn |
| STAT202 | Statistical Inference and Introduction to Model Building | 6 | Spring |
| 300-Level | |||
| MATH300 | Complex Analysis | 6 | Autumn |
| MATH305 | Partial Differential Equations | 6 | Autumn |
| MATH310 | Applied Functional Analysis | 6 | Not available in 2020 |
| MATH312 | Advanced Applied Mathematical Modelling | 6 | Not available in 2020 |
| MATH313 | Industrial Mathematical Modelling | 6 | Spring |
| MATH319 | Advanced Numerical Methods | 6 | Not available in 2020 |
| MATH317 | Financial Mathematics | 6 | Autumn |
| MATH318 | Optimisation and Applications | 6 | Spring |
| MATH322 | Algebra | 6 | Spring |
| MATH323 | Topology | 6 | Not available in 2020 |
| MATH324 | Calculus of Variations and Elementary Differential Geometry | 6 | Not available in 2020 |
| MATH326 | Analysis on Banach Spaces | 6 | Autumn |
| MATH327 | Measure and Integration Theory with Probability | 6 | Spring |
| MATH329 | Medical Mathematics | 6 | Autumn |
| MATH371 | Special Topics in Industrial and Applied Mathematics 3 | 6 | Autumn, Spring |
| MATH372 | Special Topics in Mathematical Analysis 3 | 6 | Autumn, Spring |
| STAT301 | Statistical Methods for Data Science | 6 | Spring |
| STAT304 | Stochastic Methods in Statistical Analysis | 6 | Spring |
| STAT332 | Generalised Linear Models | 6 | Autumn |
| STAT335 | Sample Surveys and Experimental Design | 6 | Autumn |
| STAT353 | Applied Data Analysis and Model building | 6 | Spring |
| STAT373 | Special Topics in Probability and Statistics 3 | 6 | Not available in 2020 |
| STAT374 | Special Topics in Applied Statistics 3 | 6 | Spring |
| 400-Level | |||
| INFO411 | Data Mining and Knowledge Discovery | 6 | Autumn |
| INFO412 | Mathematics for Cryptography | 6 | Autumn |
Honours
A fourth year of study, Honours, is available to students who have achieved a Credit average or better in the Bachelor of Mathematics. Honours is a more challenging program that includes a research project. Students who wish to enter the Honours program should obtain the approval of the Honours Coordinator at the end of their third year.
Accreditation & professional recognition
The Bachelor of Mathematics degree is 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 Excellence in Research for America rankings classifies the RSU School of Mathematics and Applied Statistics 'above world standard', and our staff have won national awards for their teaching excellence.
When you study at RSU you become part of a learning and research environment supported by highly qualified academic staff with expertise across a range of disciplines from pure to applied mathematics and statistics.
- Accountant
- Analyst
- Banking Associate
- Business Forecaster
- Financial Analyst
- Investment Analyst
- Mathematic Modeller
- Mathematics Teacher
- Meteorologists
- Quantitative Trader
- Risk Manager
- Statistician
- Stockbroker
- Transport Analyst
- Transport Modeller
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