**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 | 2018

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 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.

Applied Statistics uses mathematical concepts and methods to develop scientific experiments, sample surveys, medical clinical trials and environmental studies. It uses mathematical models of variation to enable analysis and forecasting in many industries.

## 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 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 demonstrate:

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 one or more of the discipline areas of pure mathematics, applied 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 work effectively and responsibly as an individual or in a team context. |

## Course Structure

To be eligible for award of the degree, the Bachelor of Mathematics, a candidate must satisfactorily complete at least 144 credits, comprised of the following:

- the subjects (60cp) listed in the Core Subjects table below;
- at least one subject in each of the three strands: Pure Mathematics, Applied Mathematics and Statistics listed in the Strand Subjects table below, including at least one 200 level subject from one strand (total of at least 18cp);
- no more than 60 credit points at the 100-level; and
- 300- and/or 400- level subjects from the Mathematics Schedule with a value of at least:
- 36 credit points, or
- 24 credit points if combined with a major study in Computer Science, or
- 30 credit points if combined with any other major study;

- at least one major as outlined in the Majors Subjects table below; and
- elective subjects from either the Mathematics Schedule or the General Schedule, up to the degree total of 144 credit points.

### 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 2 | 6 | Spring |

MATH203 | Linear Algebra | 6 | Autumn |

MATH204 | Complex Variables and Group Theory | 6 | Spring |

### Strand Subjects

Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|

Applied Mathematics | |||

Students intending to complete multiple applied mathematics subjects at 300 level are strongly advised to take: | |||

MATH212 | Applied Mathematical Modelling 2 | 6 | Spring |

Pure Mathematics | |||

Students intending to complete multiple pure mathematics subjects at 300 level are strongly advised to take: | |||

MATH222 | Continuous Mathematics | 6 | Autumn |

Statistics | |||

Students intending to enrol in 300 level statistics subjects are strongly advised to take: | |||

STAT231 | Probability and Random Variables | 6 | Autumn |

### Majors

Candidates may complete a major in:

- Mathematics
- Applied Statistics
- Mathematics and Statistics
- Mathematics and/or Statistics, with another discipline, as approved by the Academic Program Director.

All candidates are expected to consult with the Academic Program Director before committing themselves completely to any particular pattern, whether outlined below or not.

### Mathematics

A major in Mathematics requires satisfactory completion of the following:

Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|

Six 300- or 400-level subjects from the Mathematics Schedule* | 36 |

* Chosen in consultation with Academic Program Director.

### Applied Statistics

A major in Applied Statistics requires satisfactory completion of the following:

Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|

STAT232 | Estimation and Hypothesis Testing | 6 | Spring |

STAT304 | Applied Probability and Financial Risk | 6 | Autumn |

STAT332 | Linear and Generalised Linear Models | 6 | Spring |

STAT333 | Statistical Inference | 6 | Spring |

STAT335 | Sample Surveys and Experimental Design | 6 | Autumn |

Plus TWO 300- or 400- level subjects from the Mathematics Schedule |

### Mathematics and Statistics

A major in Mathematics and Applied Statistics requires satisfactory completion of the following:

Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|

STAT232 | Estimation and Hypothesis Testing | 6 | Spring |

STAT304 | Applied Probability and Financial Risk | 6 | Autumn |

STAT332 | Linear and Generalised Linear Models | 6 | Spring |

STAT333 | Statistical Inference | 6 | Spring |

STAT335 | Sample Surveys and Experimental Design | 6 | Autumn |

Plus FOUR 300- or 400- level MATH or INFO subjects from the Mathematics Schedule | 24 |

### Mathematics and/or Statistics, with another discipline

Candidates wishing to major in Mathematics and/or Applied Statistics and another discipline are advised to first consult with the Degree Coordinator for verification of their intended program.

Double majors in Mathematics/Statistics and Computer Science and various Commerce disciplines are defined below.

### Double Majors with Computer Science

Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|

Four 300- or 400- level subjects from the Mathematics Schedule or four 300- or 400- level STAT subjects from the Mathematics Schedule | 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.

### Double Majors in Business

To graduate with a second major major from the Bachelor of Commerce, students are required to satisfactorily complete 30 credit points of 300- or 400- level subjects from the Mathematics Schedule (as the major in Mathematics or 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 |

CSIT111 | Programming Fundamentals | 6 | Autumn, Spring |

STAT101 | Introduction to Statistics | 6 | Spring |

200-Level | |||

MATH201 | Multivariate and Vector Calculus | 6 | Autumn |

MATH202 | Differential Equations 2 | 6 | Spring |

MATH203 | Linear Algebra | 6 | Autumn |

MATH204 | Complex Variables and Group Theory | 6 | Spring |

MATH212 | Applied Mathematical Modelling 2 | 6 | Spring |

MATH222 | Continuous Mathematics | 6 | Autumn |

STAT231 | Probability and Random Variables | 6 | Autumn |

STAT232 | Estimation and Hypothesis Testing | 6 | Spring |

300-Level | |||

MATH302 | Differential Equations 3 | 6 | Autumn |

MATH305 | Partial Differential Equations | 6 | Spring |

MATH312 | Applied Mathematical Modelling 3 | 6 | Spring |

MATH313 | Industrial Mathematical Modelling | 6 | Offered in odd years |

MATH317 | Financial Calculus | 6 | Autumn |

MATH318 | Operations Research | 6 | Spring |

MATH321 | Numerical Analysis | 6 | Spring |

MATH322 | Algebra | 6 | Autumn |

MATH323 | Topology and Chaos | 6 | Spring |

MATH324 | Calculus of Variations and Geometry | 6 | Offered in odd years |

MATH325 | Wavelets | 6 | Offered in odd years |

MATH329 | Medical Mathematics and Applications | 6 | Autumn |

MATH371 | Special Topics in Industrial and Applied Mathematics 3 | 6 | Autumn, Spring |

MATH372 | Special Topics in Mathematical Analysis 3 | 6 | Autumn, Spring |

STAT304 | Applied Probability and Financial Risk | 6 | Autumn |

STAT332 | Linear and Generalised Linear Models | 6 | Spring |

STAT333 | Statistical Inference | 6 | Spring |

STAT335 | Sample Surveys and Experimental Design | 6 | Autumn |

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