Extended Major Overview

Description

Mathematics is humanity's most powerful tool for comprehending the universe and is essential for many fields of modern endeavour such as science, technology, engineering, biology, finance, computing, etc. It also underlies data analysis, forecasting, modelling, decision-making and problem-solving principles. Mathematicians contribute creatively to almost every aspect of modern life. This major will equip you with foundational knowledge in mathematics that will allow you to pursue engaging careers in research, teaching, or industry.

Outcomes

Students are able to:

  1. explain mathematical concepts and principles that underpin a wide range of applications at the level of an early-career scientist
  2. investigate physical, numerical and theoretical problems using appropriate mathematical techniques
  3. demonstrate an understanding of axiomatic systems and the fundamentals of mathematics, by applying abstract reasoning, rigour and logical deduction in mathematics
  4. apply the power of mathematics to model and understand the real world.
Broadening guidelines
All students studying towards a Bachelor's Degree at UWA are required to broaden their studies by completing a minimum of four units (24 points) of study outside their degree specific major. Broadening is your opportunity to explore other areas of interest, investigate new disciplines and knowledge paradigms and to shape your degree to suit your own aspirations and interests. Many of you will be able to undertake more than this minimum amount of broadening study and we encourage you to do so if this suits your aspirations. Over the next few months you will find here some broadening suggestions related to your degree-specific major. While we know that many students value guidance of this sort, these are only suggestions and students should not lose sight of the opportunity to explore that is afforded by your Broadening Choices. Advice can also be sought from your Allocated Student Advising Office.
Suggested units to broaden your study area, are:
(1) PHYS1100 Classical and Frontier Physics
(2) PHYS1200 Modern and Frontier Physics
(3) CITS1401 Computational Thinking with Python
Prerequisites

Enrolment in the BP059 Bachelor of Mathematics and (Mathematics Methods ATAR or equivalent or higher) and (Mathematics Specialists ATAR or equivalent or higher) and an ATAR score of at least 90.

Incompatibilities

MJD-MATHS

Courses

Mathematics can only be taken as a degree-specific major in the following degree courses:

Example Study Plans

See study plans for more information.

Units

Key to availability of units:
S1
Semester 1
S2
Semester 2
N/A
not available in 2024 – may be available in 2025 or 2026

Level 1

Degree-specific major units

Take all units (24 points):

Availability Unit code Unit name unit requirements
S1, S2 MATH1011 Multivariable Calculus
Prerequisites
Mathematics Specialist ATAR
or MATH1722 Mathematics Foundations: Specialist or equivalent
S1, S2 MATH1012 Mathematical Theory and Methods
Prerequisites
Mathematics Specialist ATAR
or MATH1722 Mathematics Foundations: Specialist or equivalent
S1 MATH1013 Mathematical Analysis
Prerequisites
Mathematics Specialist ATAR
or MATH1722 Mathematics Foundations: Specialist or equivalent
S2 MATH1014 Algebra
Prerequisites
ATAR Subject(s) Mathematics Specialist ATAR
or Unit(s) MATH1722 Mathematics Foundations: Specialist or equivalent

Level 2

Degree-specific major units

Take all units (30 points):

Availability Unit code Unit name unit requirements
S1 MATH2021 Differential Equations
Prerequisites
MATH1011 Multivariable Calculus
or MATX1011 Multivariable Calculus
or MATH1013 Mathematical Analysis
and
MATH1012 Mathematical Theory and Methods
or MATX1012 Mathematical Theory and Methods
or MATH1014 Algebra
N/A MATH2030 Metric Spaces & Measure Theory
Prerequisites
MATH1011 Multivariable Calculus
or MATX1011 Multivariable Calculus
or MATH1013 Mathematical Analysis
and
MATH1012 Mathematical Theory and Methods
or MATX1012 Mathematical Theory and Methods
or MATH1014 Algebra
Incompatibility
MATH2031 Introduction to Pure Mathematics
S1 MATH2032 Complex and Fourier Analysis
Prerequisites
MATH1011 Multivariable Calculus
or MATX1011 Multivariable Calculus
or MATH1013 Mathematical Analysis
and
MATH1012 Mathematical Theory and Methods
or MATX1012 Mathematical Theory and Methods
or MATH1014 Algebra
S2 MATH2064 Numerical Methods
Prerequisites
MATH1011 Multivariable Calculus
or MATX1011 Multivariable Calculus
or MATH1013 Mathematical Analysis
and
MATH1012 Mathematical Theory and Methods
or MATX1012 Mathematical Theory and Methods
or MATH1014 Algebra
S2 STAT2062 Fundamentals of Probability with Applications
Prerequisites
MATH1011 Multivariable Calculus
or MATX1011 Multivariable Calculus
and
MATH1012 Mathematical Theory and Methods
or MATX1012 Mathematical Theory and Methods
Incompatibility
STAT2063 Probabilistic Methods and their Applications

Level 3

Degree-specific major units

Take unit(s) to the value of 42 points:

Availability Unit code Unit name unit requirements
S1 MATH3002 Network Science
Prerequisites
MATH1012 Mathematical Theory and Methods
or MATX1012 Mathematical Theory and Methods
S1 MATH3021 Nonlinear Dynamics and Chaos
Prerequisites
MATH2021 Introduction to Applied Mathematics
S2 MATH3022 Scientific and Industrial Modelling
Prerequisites
MATH2021 Introduction to Applied Mathematics
S2 MATH3024 Complex Systems
Prerequisites
MATH2021 Introduction to Applied Mathematics
S1 MATH3031 Algebraic Structures and Symmetry
Prerequisites
MATH2031 Introduction to Pure Mathematics
S2 MATH3032 Topology and Analysis
Prerequisites
MATH2031 Introduction to Pure Mathematics
S2 MATH3033 Geometry
Prerequisites
MATH2031 Introduction to Pure Mathematics
N/A MATH3034 Functional Analysis
Prerequisites
MATH1013 Mathematical Analysis
or MATH2031 Introduction to Pure Mathematics
or MATH2501 Advanced Mathematical Methods
S1 STAT3061 Random Processes and their Applications
Prerequisites
Enrolment in MJD-MTHST Mathematics and Statistics
STAT2062 Fundamentals of Probability with Applications
or STAT2063 Probabilistic Methods and their Applications
S1 STAT3062 Statistical Science
Prerequisites
Enrolment in MJD-MTHST Mathematics and Statistics and
STAT2062 Fundamentals of Probability with Applications
or STAT2063 Probabilistic Methods and their Applications
S2 STAT3063 Spatial Statistics and Modelling
Prerequisites
Enrolment in MJD-MTHST Mathematics and Statistics and
STAT2062 Fundamentals of Probability with Applications
or STAT2063 Probabilistic Methods and their Applications
S2 STAT3064 Statistical Learning
Prerequisites
Enrolment in
MJD-CDSDM Computing and Data Science
or MJD-MTHST Mathematics and Statistics
or MJD-DATSC Data Science
or MJD-HSDEM Human Sciences and Data Analytics
and
STAT2401 Analysis of Experiments
and STAT2402 Analysis of Observations
or
STAT2062 Fundamentals of Probability with Applications
or STAT2063 Probabilistic Methods and their Applications
Incompatibility
STAT4067 Applied Statistics and Data Visualisation
and STAT5061 Statistical Data Science