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

CampusFeesEntryMid year intakeAttendance
Melbourne City International: $120,960 No
  • Full-time : 3 years
Melbourne City No
  • Full-time : 3 years
  • Part-time : 6 years

Fee comments

Campuses: Melbourne City.

Available for Domestic Student. For more information about the tuition fee, please contact RMIT.

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