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
Course Calculus 1	Area and cat no. MATH 1054	Units 4.5	Level 0	References
Course Calculus 2	Area and cat no. MATH 1055	Units 4.5	Level 1	References
Course Statistical Methods	Area and cat no. MATH 1068	Units 4.5	Level 1	References	Note(s): 4
Course Linear Algebra	Area and cat no. MATH 1056	Units 4.5	Level 1	References
Course Differential Equations 1	Area and cat no. MATH 2023	Units 4.5	Level 2	References
Course Calculus 3	Area and cat no. MATH 2026	Units 4.5	Level 2	References
Course Linear Programming and Networks	Area and cat no. MATH 2014	Units 4.5	Level 2	References
Course Methods of Applied Mathematics 1	Area and cat no. MATH 2028	Units 4.5	Level 0	References
Course Fundamentals of Real Analysis	Area and cat no. MATH 2027	Units 4.5	Level 0	References
Course Statistical Foundations	Area and cat no. MATH 2020	Units 4.5	Level 2	References
Course Numerical Methods 1	Area and cat no. MATH 2010	Units 4.5	Level 2	References
Course Introduction to Stochastic Processes	Area and cat no. MATH 2018	Units 4.5	Level 2	References
Course Optimisation	Area and cat no. MATH 3009	Units 4.5	Level 3	References
Course Applied Functional Analysis	Area and cat no. MATH 3026	Units 4.5	Level 3	References
Course Complex Analysis	Area and cat no. MATH 3031	Units 4.5	Level 0	References
Course Time Series and Forecasting	Area and cat no. MATH 3018	Units 4.5	Level 0	References
Course Simulation Theory and Application	Area and cat no. MATH 4034	Units 4.5	Level 3	References

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.

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