Major overview
Major in applied mathematical statistics and turn data into scientific insight
Data, modelling and quantitative analysis play a critical role in understanding the physical world and solving complex scientific problems. The Applied Mathematical Statistics major within our Bachelor of Science (Physical Sciences) develops your ability to work with data, identify patterns and apply mathematical techniques to support evidence-based decision making across scientific and technical disciplines.
Throughout your applied mathematical statistics course, you’ll build a strong foundation in areas such as calculus, algebra, probability and statistical analysis while developing advanced quantitative and computational skills. You’ll learn how mathematical and statistical methods are used to investigate real-world problems, with applications across the physical sciences, engineering, technology and environmental systems.
Combining theory with practical application, you’ll gain experience using computational tools, coding and data analysis techniques to interpret complex data and develop mathematical models. Along the way, you’ll strengthen your analytical thinking, problem-solving and communication skills while exploring the ethical and professional responsibilities associated with quantitative analysis.
As part of your Bachelor of Science (Physical Sciences), the Applied Mathematical Statistics major is designed to be completed alongside either a Chemistry or Physics major. This combination allows you to apply advanced mathematical and statistical techniques to real scientific challenges while building expertise in your chosen physical science discipline.
By the time you graduate, you’ll have highly transferable analytical, technical and quantitative skills that are valued across science, technology, research and industry, preparing you for an applied mathematics career or further study through Honours or postgraduate programs.
3 reasons to study applied mathematical statistics at Murdoch University
- Develop practical skills in mathematical modelling, coding and statistical analysis to solve real-world scientific problems.
- Combine the Applied Mathematical Statistics major with either Chemistry or Physics, strengthening your scientific and quantitative expertise.
- Build highly sought-after analytical and problem-solving capabilities that are valued across science, technology and data-driven industries.
What you’ll learn
- Apply advanced mathematical concepts, including calculus, algebra, probability and statistics.
- Analyse, interpret and communicate complex data using statistical techniques.
- Use coding and computational tools to solve mathematical and statistical problems.
- Develop and evaluate mathematical models to investigate real-world scientific questions.
- Work with large and complex datasets using contemporary analytical technologies.
- Apply mathematical and statistical methods to challenges in the physical sciences.
- Communicate quantitative findings effectively to both technical and non-technical audiences.
Your future career in applied mathematical statistics
Applied mathematical statistics skills are increasingly valued wherever organisations need to interpret data, model complex systems and support evidence-based decision making. Combined with expertise in Chemistry or Physics, this major prepares you for opportunities across science, technology, research, government and industry.
Potential roles include:
- Data analyst
- Statistician
- Quantitative analyst
- Research scientist
- Operations analyst
- Policy or data adviser
For more details about our Applied Mathematical Statistics major, download our information pack.
Start dates
| Starting period | Location | Face to Face | Online |
Mixed mode
In this attendance mode, teaching and learning activities are delivered both face-to-face and online, with scheduled or flexible learning times. |
|---|---|---|---|---|
| Semester 1, 2026 | Murdoch | Yes | Yes | No |
| Semester 2, 2026 | Murdoch | Yes | Yes | No |
| Semester 1, 2027 | Murdoch | Yes | Yes | No |
| Semester 2, 2027 | Murdoch | Yes | Yes | No |
View the dates for our teaching periods or find out more about attendance modes.
| Starting period | Location | Face to Face | Online |
Mixed mode
In this attendance mode, teaching and learning activities are delivered both face-to-face and online, with scheduled or flexible learning times. |
|---|---|---|---|---|
| Semester 1, 2026 | Murdoch | Yes | No | No |
| Semester 2, 2026 | Murdoch | Yes | No | No |
| Semester 1, 2027 | Murdoch | Yes | No | No |
| Semester 2, 2027 | Murdoch | Yes | No | No |
View the dates for our teaching periods or find out more about attendance modes.
Major Structure
Visit the Course Handbook - Get detailed information on units, prerequisites, and pathways.
To help plan the structure of your course, search for our suggested course plans.
| Unit code | Unit name | Credit points |
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How to Apply
Majors are part of a degree and can't be applied on their own. Apply for a related degree first, then choose your major once enrolled.