Mathematics/Statistics
Year
Type
Major, Minor, Sub-Major, Extended Major
Description
Mathematical skills are an essential ingredient for decision making and modelling in Business and Industry. Knowledge of Statistics is also essential for the collection and analysis of data. Most organisations realise that success depends critically on their ability to manage these activities and therefore seek employees with a solid background in Mathematics and Statistics. This stream develops knowledge of quantitative reasoning via studies in the fundamental concepts of Applied Mathematics, Numerical Mathematics, Operations Research and Statistics.
Prerequisite(s)
An introductory computer literacy course.
Assumed Knowledge
SACE Stage 2 Mathematical Studies
Courses
| Course | Area and cat no. | Units | Level | References | |
|---|---|---|---|---|---|
| Calculus 1 | MATH 1054 | 4.5 | 0 | ||
| Calculus 2 | MATH 1055 | 4.5 | 1 | ||
| Statistical Methods | MATH 1068 | 4.5 | 1 | Note(s): 4 | |
| Linear Algebra | MATH 1056 | 4.5 | 1 | ||
| Differential Equations 1 | MATH 2023 | 4.5 | 2 | ||
| Calculus 3 | MATH 2026 | 4.5 | 2 | ||
| Linear Programming and Networks | MATH 2014 | 4.5 | 2 | ||
| Methods of Applied Mathematics 1 | MATH 2028 | 4.5 | 0 | ||
| Fundamentals of Real Analysis | MATH 2027 | 4.5 | 0 | ||
| Statistical Foundations | MATH 2020 | 4.5 | 2 | ||
| Numerical Methods 1 | MATH 2010 | 4.5 | 2 | ||
| Introduction to Stochastic Processes | MATH 2018 | 4.5 | 2 | ||
| Optimisation | MATH 3009 | 4.5 | 3 | ||
| Applied Functional Analysis | MATH 3026 | 4.5 | 3 | ||
| Complex Analysis | MATH 3031 | 4.5 | 0 | ||
| Time Series and Forecasting | MATH 3018 | 4.5 | 0 | ||
| Simulation Theory and Application | MATH 4034 | 4.5 | 3 | ||
Rules
Nil
Notes
- At least 2 of the courses chosen in a Major must be at level 3.
- Other level 3 courses are available from both the LBMA and DBQF programs which may be taken, subject to prerequisite conditions.
- An eight-course major can be extended to a 12 course extended major by taking extra courses from the list or from additional electives in the third year of LBMA or DBQF, subject to prerequisites.
- Students cannot take both MATH 1068 Statistical Methods and MATH 1040 Statistics for Laboratory Sciences 101. For subsequent courses where MATH 1068 is listed as a prerequisite, a grade of Credit or better in MATH 1040 is required.
- Some of the listed level 3 courses may not be available in every year.
