Undergraduate Courses
  • 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:

  1. the subjects (60cp) listed in the Core Subjects table below;
  2. 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);
  3. no more than 60 credit points at the 100-level; and
  4. 300- and/or 400- level subjects from the Mathematics Schedule with a value of at least:
    1. 36 credit points, or
    2. 24 credit points if combined with a major study in Computer Science, or
    3. 30 credit points if combined with any other major study;
  5. at least one major as outlined in the Majors Subjects table below; and
  6. 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 AccountancyEconomics, 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

Last reviewed: 24 November, 2017