**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 | 2020

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 nearly 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
- 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.

## Other Information

Further information email: eis@uow.edu.au or Academic Program Director