Course list for the Computational Science and Statistics Dual Major

Information valid for students commencing 2018

Computational Science and Statistics (Dual Major)

(This major is available at St Lucia only)

Prerequisites for progression in this major:

Course Code Units Course Title
[ MATH1051 2 Calculus & Linear Algebra I [1]
[ or
[ MATH1071 2 Advanced Calculus & Linear Algebra I [2]
[ MATH1052 2 Multivariate Calculus & Ordinary Differential Equations
[ or
[ MATH1072 2 Advanced Multivariate Calculus & Ordinary Differential Equations [2]

Dual Major requirements (22 units)

Computational Science component (8 units)

4 units for -

Course Code Units Course Title
COSC2500 2 Numerical Methods in Computational Science
SCIE2100 2 Introduction to Bioinformatics

and 4 units from -

Course Code Units Course Title
BIOL3014 2 Advanced Bioinformatics
COMP3506 2 Algorithms & Data Structures
COSC3000 2 Visualization, Computer Graphics & Data Analysis
COSC3500 2 High-Performance Computing
MATH3104 2 Mathematical Biology
PHYS3071 2 Computational Physics
STAT3004 2 Probability Models & Stochastic Processes

Statistics component (14 units)

14 units for -

Course Code Units Course Title
MATH2001 2 Advanced Calculus and Linear Algebra II
STAT2003 2 Probability & Statistics
STAT2004 2 Statistical Modelling & Analysis
STAT3001 2 Mathematical Statistics
STAT3003 2 Experimental Design
STAT3004 2 Probability Models & Stochastic Processes
STAT3500 2 Problems & Applications in Modern Statistics

or any level 4 Statistics course with the permission of the Executive Dean.

End notes

  • [1] Students without at least a Sound Achievement in Senior Maths C are required to take MATH1050 as an elective before MATH1051
  • [2] Students with a high achievement in Senior Maths C (or a 6 or 7 in MATH1050) should take the sequence MATH1071, MATH1072 and MATH2401. Students with a sound achievement in Senior Maths C (or a 4 or 5 in MATH1050) should take the sequence MATH1051, MATH1052 and MATH2400.