Why Bachelor of Mathematics?
Have a passion for data-driven decision-making? Ready to reveal the patterns and trends that help shape our world?
Statisticians use their mathematical expertise to provide insights and inform decision-making in areas like pharmaceutical research, forecasting weather patterns, and analysing sport team performance. Our Bachelor of Mathematics majoring in Statistics builds your skills in collecting, analysing and interpreting data.
You’ll learn how to ethically gather statistical data, interpret results and apply complex data to everyday problems. Your ability to make sense of data and harness these insights will open you up to a world of career opportunities in industries where data is king – finance and banking, technology, software development, healthcare, climate modelling and more.
Overview
In our Bachelor of Mathematics majoring in Statistics, you’ll learn how to understand and translate real-world datasets, developing valuable and applicable skills in high demand by employers.
In your statistics major, you’ll learn how to conduct useful analyses and craft clear visual representations. Explore the ethical use and communication of statistical data. You’ll analyse and decipher complex problems in either our specialised Maths Clinic, industry internships or final projects, creating tailored solutions for real challenges.
You’ll gain critical skills in statistical modelling and apply these across a range of disciplines and situations. Use logical thinking, problem solving and creativity to deliver results. Develop your analytical and communication skills to inform and analyse datasets and explore the use of statistics in areas like medicine, weather, space and finance.
You’ll graduate ready to apply your knowledge in highly rewarding fields of interest like banking, finance, environmental protection, meteorology, health and research.
Key features
Create, collect, analyse and interpret data.- Engage with contemporary research in statistics.
- Common first year courses in mathematics provide flexibility for specialisation changes.
- Work in collaboration with industry partners through our Maths Clinic or an internship.
- Perform statistical analysis using appropriate software.
- Further your knowledge in mathematics research by undertaking an honours fourth year.
What you'll learn
Adelaide University’s degree will prepare you to feel challenged, engaged and invigorated in interpreting and analysing statistical data.
In first year, you’ll study introductory mathematics topics and fundamental concepts. With courses covering differential and integral calculus and statistical methods, you’ll begin to gain an understanding of how discrete mathematics is applied to real-world problems.
In your second year, you’ll explore advanced topics in linear algebra, mathematical modelling and differential equations, applying knowledge in mathematical theories and statistical practice.
Your third year will see you dive deeper into your statistics major. You'll gain experience in a range of types of data and modelling techniques.
- Statistical methodology
- Computational statistics
- Bayesian statistics.
Also in your third year, you’ll build important industry relationships with Adelaide University partners. You might do this through our specialised Maths Clinic, an internship or a supervised project. You’ll have the opportunity to build your communication, critical thinking and problem-solving skills – highly sought after by employers
Assessments for this degree include assignments, online quizzes, examinations, research projects and lab/practical team-based projects.
Majors
Did you know that you can also choose a Bachelor of Mathematics with a major in one of the following:
What courses you'll study
Complete 144 units comprising:
- 60 units for Core courses, and
- 18 units from Work integrated learning, and
- Either:
- 48 units for Majors, or
- 48 units for Discipline courses, and
- 18 units for Electives
Complete 60 units comprising:
- 0 to 18 units from Common core, and
- 42 units from Program core
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
An Ethically Rich Life
|
Course code
COREX001
|
Units
6
|
|
|
Course name
Fact or Fiction: Data for Everyone
|
Course code
COREX002
|
Units
6
|
|
|
Course name
Igniting Change: Ideas to Action
|
Course code
COREX003
|
Units
6
|
|
|
Course name
Proppa Ways, Future Practice
|
Course code
COREX004
|
Units
6
|
|
|
Course name
Responsible AI: Bridging Ethics, Education and Industry
|
Course code
COREX005
|
Units
6
|
|
|
Course name
Ways of Being, Ways of Seeing
|
Course code
COREX006
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
|
Course name
Calculus 1
|
Course code
MATH1004
|
Units
6
|
|
|
Course name
Calculus 2
|
Course code
MATH1005
|
Units
6
|
|
|
Course name
Communication and Research Skills in Mathematics
|
Course code
MATH1020
|
Units
6
|
|
|
Course name
Linear Algebra
|
Course code
MATHX104
|
Units
6
|
|
|
Course name
Multivariable Calculus
|
Course code
MATHX203
|
Units
6
|
|
|
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
Notes
-
Program core - Calculus 1 will not be compulsory for students entering the program who have successfully completed SACE Stage 2 Specialist Mathematics (or equivalent). For these students, Calculus 1 can be replaced with any first year mathematics elective.
| Course name | Units |
|---|---|
| Year 1 | |
| Semester 1 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Year 2 | |
| Semester 1 | |
|
Course name
|
Units
6
|
|
Course name
Or Level 2 Statistics Elective |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Year 3 | |
| Semester 1 | |
|
Course name
Complete one group of 2 courses: MATH3013 - Mathematics Clinic 1 (6 units) and MATH3900 - Mathematics Clinic 2 (6 units) or MATH1021 - Professional Practice (6 units) and MATHX101 - Internship in Mathematics (6 units) or MATH3901 - Project in Mathematics (6 units) and MATH1021 - Professional Practice (6 units) Complete the first course in desired grouping |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
Complete one group of 2 courses: MATH3013 - Mathematics Clinic 1 (6 units) and MATH3900 - Mathematics Clinic 2 (6 units) or MATH1021 - Professional Practice (6 units) and MATHX101 - Internship in Mathematics (6 units) or MATH3901 - Project in Mathematics (6 units) and MATH1021 - Professional Practice (6 units) Complete the second course in desired grouping |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
Complete 48 units comprising:
- 18 units for all Statistics major courses, and
- 6 units from Level 1 Statistics major courses, and
- 6 units from Level 2 Statistics major courses, and
- 18 units from Level 3 Statistics major courses
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
|
Course name
Probability
|
Course code
STATX200
|
Units
6
|
|
|
Course name
Statistical Methodology
|
Course code
STATX302
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Discrete Mathematics
|
Course code
MATH1006
|
Units
6
|
|
|
Course name
Geometry
|
Course code
MATH1007
|
Units
6
|
|
|
Course name
First Steps in Mathematics Research
|
Course code
MATH1011
|
Units
6
|
|
|
Course name
Mathematics in Action
|
Course code
MATH1012
|
Units
6
|
|
|
Course name
Introduction to Mathematical Data Science
|
Course code
MATH1035
|
Units
6
|
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STATX300
|
Units
6
|
|
|
Course name
Stochastic Processes
|
Course code
STATX303
|
Units
6
|
| Course name | Units |
|---|---|
| Year 1 | |
| Semester 1 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Year 2 | |
| Semester 1 | |
|
Course name
|
Units
6
|
|
Course name
Or Level 2 Statistics Elective |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Year 3 | |
| Semester 1 | |
|
Course name
Complete one group of 2 courses: MATH3013 - Mathematics Clinic 1 (6 units) and MATH3900 - Mathematics Clinic 2 (6 units) or MATH1021 - Professional Practice (6 units) and MATHX101 - Internship in Mathematics (6 units) or MATH3901 - Project in Mathematics (6 units) and MATH1021 - Professional Practice (6 units) Complete the first course in desired grouping |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
Complete one group of 2 courses: MATH3013 - Mathematics Clinic 1 (6 units) and MATH3900 - Mathematics Clinic 2 (6 units) or MATH1021 - Professional Practice (6 units) and MATHX101 - Internship in Mathematics (6 units) or MATH3901 - Project in Mathematics (6 units) and MATH1021 - Professional Practice (6 units) Complete the second course in desired grouping |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
Complete exactly 18 units from the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Professional Practice
|
Course code
MATH1021
|
Units
6
|
|
|
Course name
Internship in Mathematics
|
Course code
MATHX101
|
Units
6
|
|
|
Course name
Statistical Practice
|
Course code
STATX290
|
Units
6
|
|
|
Course name
Mathematics Clinic 1
|
Course code
MATH3013
|
Units
6
|
|
|
Course name
Mathematics Clinic 2
|
Course code
MATH3900
|
Units
6
|
|
|
Course name
Project in Mathematics
|
Course code
MATH3901
|
Units
6
|
| Course name | Units |
|---|---|
| Year 1 | |
| Semester 1 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Year 2 | |
| Semester 1 | |
|
Course name
|
Units
6
|
|
Course name
Or Level 2 Statistics Elective |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Year 3 | |
| Semester 1 | |
|
Course name
Complete one group of 2 courses: MATH3013 - Mathematics Clinic 1 (6 units) and MATH3900 - Mathematics Clinic 2 (6 units) or MATH1021 - Professional Practice (6 units) and MATHX101 - Internship in Mathematics (6 units) or MATH3901 - Project in Mathematics (6 units) and MATH1021 - Professional Practice (6 units) Complete the first course in desired grouping |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
Complete one group of 2 courses: MATH3013 - Mathematics Clinic 1 (6 units) and MATH3900 - Mathematics Clinic 2 (6 units) or MATH1021 - Professional Practice (6 units) and MATHX101 - Internship in Mathematics (6 units) or MATH3901 - Project in Mathematics (6 units) and MATH1021 - Professional Practice (6 units) Complete the second course in desired grouping |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
Complete 18 units comprising:
- 6 units from University-wide electives, and
- One of the following:
- 6 units from Discipline electives Level 2, or
- 6 units from Applied Mathematics electives Level 2, or
- 6 units from Data Science electives Level 2, or
- 6 units from Pure Mathematics electives Level 2, or
- 6 units from Statistics electives Level 2, and
- One of the following:
- 6 units from Discipline electives Level 3, or
- 6 units from Applied Mathematics electives Level 3, or
- 6 units from Data Science electives Level 3, or
- 6 units from Pure Mathematics electives Level 3, or
- 6 units from Statistics electives Level 3
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Elective 1
|
Course code
AUXX1011
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Probability
|
Course code
STATX200
|
Units
6
|
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Probability
|
Course code
STATX200
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
|
|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Elective 1
|
Course code
AUXX1011
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
|
Course name
Simulation for Decision Science
|
Course code
MATHX207
|
Units
6
|
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
|
|
Course name
Advanced Optimisation
|
Course code
MATHX302
|
Units
6
|
|
|
Course name
Complex Networks
|
Course code
MATHX303
|
Units
6
|
|
|
Course name
Fluid Dynamics
|
Course code
MATHX304
|
Units
6
|
|
|
Course name
Functional Analysis
|
Course code
MATHX305
|
Units
6
|
|
|
Course name
Geometry of Surfaces
|
Course code
MATHX306
|
Units
6
|
|
|
Course name
Groups, Rings and Fields
|
Course code
MATHX307
|
Units
6
|
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATHX308
|
Units
6
|
|
|
Course name
Mathematical Biology
|
Course code
MATHX309
|
Units
6
|
|
|
Course name
Measure and Integration
|
Course code
MATHX310
|
Units
6
|
|
|
Course name
Metric and Topological Spaces
|
Course code
MATHX311
|
Units
6
|
|
|
Course name
Number Theory
|
Course code
MATHX312
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STATX300
|
Units
6
|
|
|
Course name
Data Science Practice
|
Course code
STATX301
|
Units
6
|
|
|
Course name
Statistical Methodology
|
Course code
STATX302
|
Units
6
|
|
|
Course name
Stochastic Processes
|
Course code
STATX303
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
|
Course name
Simulation for Decision Science
|
Course code
MATH2000
|
Units
6
|
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATH3001
|
Units
6
|
|
|
Course name
Mathematical Biology
|
Course code
MATH3002
|
Units
6
|
|
|
Course name
Advanced Optimisation
|
Course code
MATH3003
|
Units
6
|
|
|
Course name
Groups, Rings and Fields
|
Course code
MATH3004
|
Units
6
|
|
|
Course name
Metric and Topological Spaces
|
Course code
MATH3005
|
Units
6
|
|
|
Course name
Measure and Integration
|
Course code
MATH3006
|
Units
6
|
|
|
Course name
Geometry of Surfaces
|
Course code
MATH3007
|
Units
6
|
|
|
Course name
Number Theory
|
Course code
MATH3008
|
Units
6
|
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATH3009
|
Units
6
|
|
|
Course name
Fluid Dynamics
|
Course code
MATH3011
|
Units
6
|
|
|
Course name
Functional Analysis
|
Course code
MATH3012
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATH3021
|
Units
6
|
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
|
Course name
Complex Networks
|
Course code
MATH3023
|
Units
6
|
|
|
Course name
Statistical Methodology
|
Course code
STAT3000
|
Units
6
|
|
|
Course name
Stochastic Processes
|
Course code
STAT3002
|
Units
6
|
|
|
Course name
Data Science Practice
|
Course code
STAT3004
|
Units
6
|
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STAT3012
|
Units
6
|
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
|
Course name
Groups, Rings and Fields
|
Course code
MATH3004
|
Units
6
|
|
|
Course name
Metric and Topological Spaces
|
Course code
MATH3005
|
Units
6
|
|
|
Course name
Measure and Integration
|
Course code
MATH3006
|
Units
6
|
|
|
Course name
Geometry of Surfaces
|
Course code
MATH3007
|
Units
6
|
|
|
Course name
Number Theory
|
Course code
MATH3008
|
Units
6
|
|
|
Course name
Functional Analysis
|
Course code
MATH3012
|
Units
6
|
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
|
|
Course name
Complex Networks
|
Course code
MATHX303
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STATX300
|
Units
6
|
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATHX308
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
|
Course name
Simulation for Decision Science
|
Course code
MATHX207
|
Units
6
|
|
|
Course name
Statistical Methodology
|
Course code
STATX302
|
Units
6
|
|
|
Course name
Stochastic Processes
|
Course code
STATX303
|
Units
6
|
|
|
Course name
Fluid Dynamics
|
Course code
MATHX304
|
Units
6
|
|
|
Course name
Mathematical Biology
|
Course code
MATHX309
|
Units
6
|
|
|
Course name
Advanced Optimisation
|
Course code
MATHX302
|
Units
6
|
|
|
Course name
Data Science Practice
|
Course code
STATX301
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Simulation for Decision Science
|
Course code
MATH2000
|
Units
6
|
|
|
Course name
Mathematical Biology
|
Course code
MATH3002
|
Units
6
|
|
|
Course name
Advanced Optimisation
|
Course code
MATH3003
|
Units
6
|
|
|
Course name
Groups, Rings and Fields
|
Course code
MATH3004
|
Units
6
|
|
|
Course name
Metric and Topological Spaces
|
Course code
MATH3005
|
Units
6
|
|
|
Course name
Measure and Integration
|
Course code
MATH3006
|
Units
6
|
|
|
Course name
Geometry of Surfaces
|
Course code
MATH3007
|
Units
6
|
|
|
Course name
Number Theory
|
Course code
MATH3008
|
Units
6
|
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATH3009
|
Units
6
|
|
|
Course name
Advanced Differential Equations
|
Course code
MATH3010
|
Units
6
|
|
|
Course name
Fluid Dynamics
|
Course code
MATH3011
|
Units
6
|
|
|
Course name
Functional Analysis
|
Course code
MATH3012
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATH3021
|
Units
6
|
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
|
Course name
Complex Networks
|
Course code
MATH3023
|
Units
6
|
|
|
Course name
Stochastic Processes
|
Course code
STAT3002
|
Units
6
|
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STAT3012
|
Units
6
|
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
|
|
Course name
Data Science Practice
|
Course code
STATX301
|
Units
6
|
Notes
-
Discipline electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
-
Applied Mathematics electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
-
Data Science electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
-
Pure Mathematics electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
-
Statistics electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
-
Discipline electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
-
Applied Mathematics electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
-
Data Science electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
-
Pure Mathematics electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
-
Statistics electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
| Course name | Units |
|---|---|
| Year 1 | |
| Semester 1 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Year 2 | |
| Semester 1 | |
|
Course name
|
Units
6
|
|
Course name
Or Level 2 Statistics Elective |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Year 3 | |
| Semester 1 | |
|
Course name
Complete one group of 2 courses: MATH3013 - Mathematics Clinic 1 (6 units) and MATH3900 - Mathematics Clinic 2 (6 units) or MATH1021 - Professional Practice (6 units) and MATHX101 - Internship in Mathematics (6 units) or MATH3901 - Project in Mathematics (6 units) and MATH1021 - Professional Practice (6 units) Complete the first course in desired grouping |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
| Semester 2 | |
|
Course name
Complete one group of 2 courses: MATH3013 - Mathematics Clinic 1 (6 units) and MATH3900 - Mathematics Clinic 2 (6 units) or MATH1021 - Professional Practice (6 units) and MATHX101 - Internship in Mathematics (6 units) or MATH3901 - Project in Mathematics (6 units) and MATH1021 - Professional Practice (6 units) Complete the second course in desired grouping |
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
|
Course name
|
Units
6
|
Career outcomes
As a mathematics expert in statistics, you could predict the behaviour of financial markets and optimise investment strategies for banks, investment firms, and hedge funds.
Maybe you’ll work in public health, gathering data and performing statistical analyses to manage infectious diseases, engineer prosthetic limbs and test new life-saving drugs.
With further study, you could even work as a forensic statistician, analysing evidence and developing statistical models for criminal investigations.
Careers may also include:
- Data scientist
- Data analyst
- Biostatistician
- Policy analyst
- Epidemiologist
- Statistician.
Potential employers include defence industries, banking and finance, health, universities and technical consulting companies.
Industry trends
Mathematics and statistics professionals are essential to Australia’s future health and wellbeing. In fact, the need for statisticians is at its highest level ever in Australia alone. Apply your deep discipline in mathematics and statistics to a range of global industries that benefit from the interpretation of large and complex datasets (Australian Mathematical Sciences Institute, 2021).
Advancements in robotics, infrastructure, software and machines have seen jobs in the sector rising by 50 percent in the last decade. Learn and embody the mathematical literacy required to join like-minded mathematicians and be at the forefront of the growing field of technology-led industries (Australian Mathematical Sciences Institute, 2021).
Ready to apply?
Please note that a non-refundable application fee of AUD$150 applies for every application submitted to Adelaide University.
Your study experience and support
Adelaide University sets you up for success in your studies – and your social life. You’ll have access to work placement and internship opportunities, overseas study tours and exchanges, networking events with guest speakers and more. Our campuses are equipped with purpose-built facilities including lecture theatres, libraries, workshops, laboratories, and spaces that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform with personalised study information and resources.
You’ll have everything you need to live well and thrive during your studies, with health services on campus, gymnasiums, technology zones and modern student lounges. Get involved in campus sport or join our student clubs that will connect you to your passions – and the people who share them.
Adelaide also has a variety of accommodation options to suit your individual requirements and budget, with options ranging from dedicated student accommodation to private rentals. One of the world’s most liveable cities, Adelaide has lots of leafy parks, gardens and social hubs – and some of the highest living standards globally. No matter where you are in Adelaide, you’re only a short distance from beaches, vineyards, museums, art galleries, restaurants, bars and parklands. Visit the accommodation web page to find out more.
Student services
We’re here to support you on your student journey. Adelaide University offers a range of support services and facilities, including:
- Career advice and mentoring services
- Personal counselling
- LGBTQIA+ support
- Academic support
- Fees and finance help
- Security services
- Accommodation services
- Common rooms
- Prayer rooms.
You’ll also have unlimited access to our dedicated student support hub. Visit in-person or online, or contact our friendly team by phone. We can assist you with anything study-related including enrolment, identification cards, timetables, fees and more.
Your campus
You'll be studying at one of our renowned campuses, accessing cutting-edge facilities and contemporary study spaces.
Study hours
Your courses will require a combination of different learning formats, including lectures, tutorials, workshops, seminars and practicals. Aside from your classes, you’ll also need to allocate additional time for independent study. This may include assignments, readings, projects and contributing to online discussion forums. As a rough guide, full-time studies may require 12-26 hours of class time and 14-18 hours of independent study per week.
Assessment
During your studies at Adelaide University, you’ll complete a mixture of practical, professional and research-based learning. Your assessment types will vary depending on the degree you’re studying, but may include:
- Case studies
- Essays and assignments
- Examinations
- Group projects
- Internships and placements
- Practicals
- Presentations
- Reports and project documentations
- Research projects
- Workplace and classroom contributions.
