Course Level
Bachelor Degree (Pass)
CRICOS
111273G
Bachelor of Applied Mathematics and Statistics
In RMITs Bachelor of Applied Mathematics and Statistics, youll be taught to think logically, and learn how to approach theoretical and real-world problems in analytical and creative ways, and apply your knowledge to professional and academic contexts. Major in Mathematics and Statistics, developing in-depth knowlege of fundamental and advanced mathematical and statistical theory. Youll use a wide range of mathematical and statistical models, programming languages and environments, approaches and software. Connect with industry through industry-based projects, workplace visits, lectures from practising professionals and work placements. These opportunities will provide you with real-world experience, grow your network and enhance your employability. Undertake work integrated learning projects (capstone experience) involving a real-life industry problem with feedback from industry professionals. In these projects, youll characterise, analyse and solve a range of problems using your new knowledge and skills, as well as industry-relevant software and analytical tools.
Campus | Duration | Fees | ATAR |
|---|---|---|---|
Melbourne City | Full-time - 3 years | N/A | N/A |
Melbourne City | Full-time - 3 years Part-time - 6 years | N/A | N/A |
Structure
288 credit points
Subjects
- ONPS2700 Data for a Scientific World
- ONPS2701 Physical Sciences in Action
- ONPS2699 The World of Life Sciences
- MATH2443 A Mathematical Toolbox for Scientists
- COSC2960 Foundations of Artificial Intelligence for STEM
- ONPS2702 STEM for Sustainable Development
- BIOL2525 Foundations in Digital Health
- MATH2196 Industrial Applications of Mathematics and Statistics 1
- MATH2197 Industrial Applications of Mathematics and Statistics 2
- MATH1144 Vectors and Calculus
- MATH2311 Advanced Linear Algebra with Vector Calculus
- MATH1150 Discrete Mathematics
- MATH2138 Modelling with Differential Equations
- MATH2150 Real and Complex Analysis
- MATH2390 Optimisation
- MATH2148 Algebra for Information Security
- MATH2312 Complex Networks
- MATH2109 Mathematical Computing and Algorithms
- MATH2237 Data Visualisation with R
- MATH2201 Statistical Methodologies
- MATH2300 Analysis of Categorical Data
- MATH2142 Multivariate Analysis
- MATH2203 Linear Models and Experimental Design
- MATH2204 Time Series and Forecasting
- MATH2387 Machine Learning
- MATH2155 Statistical Inference
- MATH2305 Applied Bayesian Statistics
- MATH1144 Vectors and Calculus
- MATH2311 Advanced Linear Algebra with Vector Calculus
- MATH1150 Discrete Mathematics
- MATH2138 Modelling with Differential Equations
- MATH2150 Real and Complex Analysis
- MATH2237 Data Visualisation with R
- MATH2201 Statistical Methodologies
- MATH2203 Linear Models and Experimental Design
- MATH2204 Time Series and Forecasting
- MATH2387 Machine Learning
- MATH2312 Complex Networks
- MATH2391 Numerical Techniques
- MATH2109 Mathematical Computing and Algorithms
- MATH2305 Applied Bayesian Statistics
- MATH2155 Statistical Inference
Entry requirements
- You must have successfully completed an Australian Year 12 (or equivalent qualification).
Related Courses
Bachelor of Mathematics (Applied Statistics)
University of Wollongong
Bachelor of Mathematics (Applied Mathematics)
University of Wollongong
Bachelor of Science (Mathematics and Statistics) (Honours)
RMIT University
Bachelor of Mathematics - Industrial and Applied Mathematics (LBMH)
University of South Australia
Bachelor of Applied Science (Honours) (Mathematics)
University of South Australia
