Bachelor of Applied Mathematics and Statistics
RMIT University
Type of institution: University/Higher Education Institution
Level: Undergraduate
CRICOS: 00122A
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.
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
Standard entry requirements
You must have successfully completed an Australian Year 12 (or equivalent qualification).
Study information
Campus | Fees | Entry | Mid year intake | Attendance |
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Melbourne City | International: $120,960 | No |
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Melbourne City | No |
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Fee comments
Campuses: Melbourne City.
Available for Domestic Student. For more information about the tuition fee, please contact RMIT.