2020 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 | 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:

  1. The following 72 credit points of core subjects   
  2. 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.

  3. At least one of MATH212, MATH222 and STAT201.
  4. Additional 300- and/or 400-level subjects from the Mathematics Schedule with a value of at least:
    1. 30 credit points, Note: Students may choose to meet the requirements of a major study in Applied Mathematics, Pure Mathematics, or Applied Statistics, or
    2. 24 credit points if adding any other major study, or 
    3. 18 credit points if adding a major study in Computer Science (outlined below).
  5. 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.
  6. No more than 60 credit points at 100-level.

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

Last reviewed: 2 July, 2020