Bachelor of Science (Statistics)Program details
Statistics is the mathematical science of collecting and analysing data to draw conclusions and make predictions.
In year one you will learn core mathematical and statistical knowledge and develop essential conceptual and analytical skills. In years two and three you will undertake advanced studies in mathematics, modelling, analysis and experimental design.
You will also have the opportunity to tailor your studies by choosing a number of elective courses in three areas of specialisation: Environmental Modelling, Finance and Marketing.
Completing this program equips graduates with a broad range of skills and knowledge enabling them to excel in roles dependent on data analysis and numerical reasoning.
How you will learn
RMIT partners with over 150 organisations around the world to provide you with global work and study opportunities.
You could spend a semester studying abroad, take part in a study tour or complete an international internship.
In Year 1 you'll study the basics of calculus, statistics, discrete mathematics, mathematical programming and professional practice.
In Years 2 and 3 you’ll learn about the mathematical foundations of statistics together with the numerous areas of application. It is at this stage that you choose your specialisation.
You will select eight courses from dozens of different electives in these specialisations to customise your studies for particular learning outcomes.
Examples of available electives are:
- Data Visualisation
- Mathematical Modelling
- Modelling with Differential Equations
- Sampling and Quality Control
- Scientific Computing
- Sports Statistics
- Business Finance
- Financial Markets
- Marketing Communication
- Nonlinear Optimisation
- Prices and Markets
- System Dynamic Modelling
With her newly polished skills, Kimberly Lau is ready for a career in the finance sector.
Mathematician and football enthusiast, Nicholas Miokovic, is aiming for an exciting career in sports statistics when he graduates from a Bachelor of Science (Statistics) at RMIT.