- Students are to follow the requirements of the Handbook for the year they commenced the course.
However, the subject links below do not contain the subject information for the current year. You can view current subject information through the new Course Handbook.
Bachelor of Mathematics | 2019
Testamur Title of Degree: | Bachelor of Mathematics |
Abbreviation: | BMath |
UOW Course Code: | 762 |
CRICOS Code: | 002936B |
Total Credit Points: | 144 |
Duration: | 3 years full-time or part-time equivalent |
Home Faculty: | Faculty of Engineering and Information Sciences |
Intake Session(s): | Autumn/Spring |
Delivery Mode: | On-campus (Face-to-face) |
Delivery Campus / UAC Code: | Wollongong / 756511 |
Overview
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.
Graduates of UOW's Bachelor of Mathematics will gain highly transferable skills in problem solving, data analysis, probability and variability, mathematical modelling, logistics and logic. The degree is flexible, so students can take up to one third of their subjects from other disciplines to expand their career options.
Entry Requirements & Credit Arrangements
Information on academic and English language requirements, as well as eligibility for credit for prior learning, is available from the Course Finder.
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
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 | Not available in 2019 |
MATH399 | Mathematics Capstone | 6 | Not available in 2019 |
- 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, or
- 18 credit points if combined with a major study in Computer Science, or
- 24 credit points if combines with any other major study.
- Elective subjects chosen from the Mathematics Schedule or from the General Schedule, to bring the total to 144 credit points.
- No more than 60 credit points at 100-level.
Majors
Students enrolled in this degree may complete a major in:
- Mathematics or
- Applied Statistics.
Note that declaring a major is not required to complete a Bachelor of Mathematics.
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.
Note that the 300-level subjects in the following majors will be available from 2020.
All candidates are expected to consult with the Academic Program Director before committing themselves completely to any particular pattern.
Mathematics
Students may choose either an Applied Mathematics or Pure Mathematics strand within the Mathematics major.
The Applied Mathematics strand requires the satisfactory completion of four subjects from the list below:
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
MATH305 | Partial Differential Equations | 6 | Spring |
MATH310 | Applied Functional Analysis | 6 | Not available in 2019 |
MATH312 | Advanced Applied Mathematical Modelling | 6 | Not available in 2019 |
MATH313 | Industrial Mathematical Modelling | 6 | Spring |
MATH319 | Advanced Numerical Methods | 6 | Not available in 2019 |
MATH317 | Financial Mathematics | 6 | Autumn |
MATH318 | Mathematical Optimisation and Operations Research | 6 | Spring |
MATH329 | Medical Mathematics | 6 | Autumn |
STAT304 | Applied Probability and Financial Risk* | 6 | Autumn |
* Can be counted towards the Applied Mathematics strand only if taken as part of a double major in Mathematics and Applied Statistics.
The Pure Mathematics strand requires the satisfactory completion of four subjects from the list below:
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
MATH305 | Partial Differential Equations | 6 | Spring |
MATH310 | Applied Functional Analysis | 6 | Not available in 2019 |
MATH322 | Algebra | 6 | Not available in 2019 |
MATH323 | Topology | 6 | Not available in 2019 |
MATH324 | Calculus of Variations and Elementary Differential Geometry | 6 | Spring |
MATH326 | Analysis on Banach Spaces | 6 | Not available in 2019 |
MATH327 | Measure and Integration Theory with Probability | 6 | Not available in 2019 |
INFO412 | Mathematics for Cryptography | 6 | Autumn |
Applied Statistics
A major in Applied Statistics requires the satisfactory completion of four subjects from the list below:
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
STAT301 | Statistical Methods for Data Science | 6 | Not available in 2019 |
STAT304 | Applied Probability and Financial Risk | 6 | Autumn |
STAT332 | Linear and Generalised Linear Models | 6 | Spring |
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 | Autumn |
MATH327 | Measure and Integration Theory with Probability | 6 | Not available in 2019 |
Double Majors
Candidates wishing to add a second major from the School of Mathematics and Applied Statistics, or from another discipline, are advised to consult with the Academic Program Director for verification of their intended program. Candidates undertaking a double major may choose to count MATH301 toward completion of one of their majors.
Double major within Mathematics and Statistics
Candidates wishing to complete two majors from the School of Mathematics and Applied Statistics are required to complete each major individually, but may count up to one subject towards both majors.
Double major with Computer Science
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
Completion of a major from the School of Mathematics and Applied Statistics | 24 | ||
Plus the following subjects: | |||
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 the double major must complete CSIT111. CSIT111 is a prerequisite for the other programming subjects in the double major, and may be substituted for CSIT110.
Double Majors with Business
To graduate with a second major from the Bachelor of Commerce, students are required to satisfactorily complete a major from the School of Mathematics and Applied Statistics and satisfactorily complete a major study in Accountancy, Economics, Finance, Management or Marketing as outlined in the Bachelor of Commerce entry. Note, however, that students are not required to complete the core subjects as listed in the Bachelor of Commerce, except where those subjects are prerequisites to subjects in the major.
All students must satisfy subject prerequisites except where waivers have been granted. Alternatively candidates may wish to consider enrolling in the Bachelor of Mathematics and Finance (Honours).
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 | |||
(Note that some of the following subjects will not be available until 2020, and that some existing codes are renamed from 2020) | |||
MATH300 | Complex Analysis | 6 | Not available in 2019 |
MATH305 | Partial Differential Equations | 6 | Spring |
MATH310 | Applied Functional Analysis | 6 | Not available in 2019 |
MATH312 | Advanced Applied Mathematical Modelling | 6 | Not available in 2019 |
MATH319 | Advanced Numerical Methods | 6 | Not available in 2019 |
MATH317 | Financial Mathematics | 6 | Autumn |
MATH318 | Mathematical Optimisation and Operations Research | 6 | Spring |
MATH322 | Algebra | 6 | Not available in 2019 |
MATH323 | Topology | 6 | Not available in 2019 |
MATH324 | Calculus of Variations and Elementary Differential Geometry | 6 | Spring |
MATH326 | Analysis on Banach Spaces | 6 | Not available in 2019 |
MATH327 | Measure and Integration Theory with Probability | 6 | Not available in 2019 |
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 |
MATH399 | Mathematics Capstone | 6 | Not available in 2019 |
STAT301 | Statistical Methods for Data Science | 6 | Not available in 2019 |
STAT304 | Applied Probability and Financial Risk | 6 | Autumn |
STAT332 | Linear and Generalised Linear Models | 6 | Spring |
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 | Autumn |
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. It 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.
Other Information
Further information email: eis@uow.edu.au or Academic Program Director