Bachelor of Mathematics Advanced

University of Wollongong

About

The Bachelor of Mathematics Advanced is available to students who excel in the highest level of Mathematics subjects offered in the NSW HSC or its equivalent.

Students in the program undertake a reduced number of first-year mathematics subjects and carry out individual enrichment projects, through which students will benefit from a closer interaction with active researchers.The degree program links in with the strong research activities of the School of Mathematics and Applied Statistics, and provides opportunities to build links with industry and to understand the interaction between mathematics and society.A Mathematics Advanced (Honours) degree is available to candidates who achieve a distinction average or better in the Bachelor of Mathematics Advanced degree.

Structure

Students who enrol in the Bachelor of Mathematics Advanced shall accrue an aggregate of at least 144 credit points by satisfactory completion of:

  1. The following 78 credit points of core subjects;
Subject Code Subject Name Credit Points Session(s)
MATH110 Advanced Mathematics 6 Autumn
MATH201 Multivariate and Vector Calculus 6 Autumn
MATH202 Differential Equations: Analysis and Applications 6 Autumn
CSIT110 Fundamental Programming with Python 6 Autumn
STAT101 Introduction to Statistics 6 Spring
MATH203 Linear Algebra and Groups 6 Spring
MATH205 Numerical Methods 6 Spring
MATH212 Mathematical Modelling 6 Spring
STAT201 Random Variables and Estimation 6 Autumn
MATH222 Real Analysis 6 Autumn
MATH300 Complex Analysis 6 Autumn
MATH235 or STAT235 Mathematics Project A Statistics Project A 6 Autumn, Spring
MATH345 or STAT345 Mathematics Project B Statistics Project B 6 Autumn, Spring
  1. Additional 300- and/or 400-level subjects from the Mathematics Schedule with a value of at least
  2. 30 credit points. Note: Students may choose to meet the requirements of a major study in Applied Mathematics, Pure Mathematics, or Applied Statistics,, or
  3. 18 credit points if adding a major study in Computer Science, or
  4. 24 credit points if adding any other major study;
  5. Elective subjects chosen from the Mathematics Schedule or from the General Schedule to bring the total to 144 credit points;
  6. No more than 60 credit points at 100-level.

Students enrolled in this degree may complete a major in:

  • Pure Mathematics,
  • Applied Mathematics,
  • Applied Statistics, or
  • Computer Science

Students are referred to the Bachelor of Mathematics rules for the details of these majors.

Note that declaring a major is not required to complete a Bachelor of Mathematics Advanced.

Continuation in the Bachelor of Mathematics Advanced degree will normally be dependent upon achieving an average mark of at least 80% each year. Students who do not meet the required average may be transferred to the Bachelor of Mathematics degree. All candidates are expected to consult with the Academic Program Director before committing themselves to any particular pattern.

Candidates wishing to add a second major from the School of Mathematics and Applied Statistics, or an additional major from another discipline, are advised to consult with the Academic Program Director for verification of their intended program.

Honours

Entry requirements

Information on academic and English language requirements, as well as eligibility for credit for prior learning, is available from the Course Finder.

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 and firm 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 statistics. 3 Investigate and solve advanced 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 team member. 6 Apply knowledge and skills to demonstrate growing independence in judgement as a training mathematician or statistician

Institution