Bachelor of Mathematical Sciences (Statistics)

Degree Level Undergraduate

Years

Australian students

Start Date
February
July

Campus
Mawson Lakes

Duration
3 year(s) full-time

Program Code
LBMA

SATAC Code
434661 (Internal)

Study as
Full-time or part-time

Fees
Commonwealth Supported

Entry Requirements
Selection Rank (Internal): 99.95 (for 2013)
View full entry requirements

Prerequisites
SACE Stage 2 Math Studies
More info

Assumed Knowledge
None

Entry requirements

Admission criteria

The admission criteria have been grouped to assist you to easily find the information most relevant to your circumstances. However, you may fit into more than one and the university will consider applicants against each of the relevant criteria.

Certain conditions apply. For more information refer to Appendix 4 of the University's Selection and Entry policy.

To be eligible for selection, applicants are required to have:

Completed the South Australian Certificate of Education (SACE); and
- completed 200 credits of subjects;
- achieved a grade of C* or better in the Personal Learning Plan, 20 credits of literacy, 10 credits of numeracy and the Research Project at Stage 2;
- achieved a grade C- or better in an additional 60 credits at Stage 2;
- obtained a competitive ATAR.
* For Stage 2 subjects a grade of C- or better is required

Alternatively, the minimum educational requirements may be met by those who have one of the following qualifications:
- Completed the equivalent secondary education qualifications as required for University entry under SACE and fulfilled any prerequisite requirements;
- Completed the International Baccalaureate Diploma, obtaining a minimum score of 24 points and fulfilled any prerequisite requirements;
- Completed or partly completed a recognised higher education program at a recognised higher education institution and fulfilled any prerequisite requirements;
- Completed at least four Open Universities Australia (OUA) courses at the appropriate level and fulfilled any prerequisite requirements;
- Completed an award from TAFE or from another registered training organisation at AQF Certificate IV or above and fulfilled any prerequisite requirements;
- Qualified for Special Entry and fulfilled any prerequisite requirements;
- Completed the University Foundation Studies program with a grade of Credit or better in the course Foundation Mathematics 2 Calculus.
Essential requirements for admission
Prerequisites

SACE Stage 2 Math Studies

Assumed Knowledge
None
View full entry requirements Hide full entry requirements

Aim

This program aims to produce graduates who are skilled in any one of three important areas of modern Mathematical Science, namely Applied Mathematics, Statistics or Optimisation. These graduates will be well equipped for work in Business or Industry or to continue with postgraduate studies.

Content & Structure

This three year program provides a comprehensive grounding in modern Applied Mathematics, Statistics and Optimisation theory and practice. Students receive a solid foundation in each of the three areas of Applied Mathematics, Statistics and Optimisation in the first two years of the program, with the opportunity to further specialise within their chosen Elective Stream in the final year. Students may have the opportunity to work with Business or Industry on a major Clinic Project and will be selected on academic merit.

One hundred and eight (108) units of study are required to complete the program.

The ATAR cut off for this program is subject to significant fluctuation e.g. in 2009 the ATAR cut off was 85.7, whereas in 2010 the cut off was 97.3. The cut off is provided for information only and is not to be considered as the minimum ATAR required for entry in the program in future years. Prospective students interested in studying this program are encouraged to include this program in their SATAC preferences irrespective of their actual or expected ATAR.

What courses you'll study

Course name	Area and cat no.	Units	Reference
FIRST YEAR
First Semester (Study Period 1, 2 or 3)
Calculus 1	MATH 1054	4.5
Directed Elective			Note(s): 1
Statistical Methods	MATH 1068	4.5
Discrete Mathematics	MATH 1043	4.5
Second Semester (Study Period 4, 5 or 6)
Calculus 2	MATH 1055	4.5
Mathematical Communication	MATH 2024	4.5
Linear Algebra	MATH 1056	4.5
University-wide Elective		4.5	Note(s): 1,2
SECOND YEAR
First Semester (Study Period 1, 2 or 3)
Differential Equations 1	MATH 2023	4.5
Linear Programming and Networks	MATH 2014	4.5
Statistical Foundations	MATH 2020	4.5
Methods of Applied Mathematics 1	MATH 2028	4.5
Second Semester (Study Period 4, 5 or 6)
Numerical Methods 1	MATH 2010	4.5
Introduction to Stochastic Processes	MATH 2018	4.5
Calculus 3	MATH 2026	4.5
Fundamentals of Real Analysis	MATH 2027	4.5
THIRD YEAR
First Semester (Study Period 1, 2 or 3)
Time Series and Forecasting	MATH 3018	4.5
Statistical Inference	MATH 2029	4.5
Categorical Data Analysis	MATH 3024	4.5
Mathematics Clinic 1	MATH 3021	4.5	Note(s): 3
or
Design and Analysis of Experiments	MATH 3032	4.5	Note(s): 3
Second Semester (Study Period 4, 5 or 6)
Multivariate Statistical Analysis	MATH 3030	4.5
Introduction to Stochastic Calculus	MATH 3033	4.5
Investment Science	MATH 3019	4.5
Advanced Mathematics Clinic	MATH 3034	4.5	Note(s): 4
or
Mathematics Project 2	MATH 3013	4.5	Note(s): 4
DIRECTED ELECTIVES
First Semester (Study Period 1, 2 or 3)
Problem Solving and Programming	COMP 1039	4.5
Applied Physics 1	PHYS 1007	4.5
Chemistry 100	CHEM 1006	4.5
Molecules to Tissues A	BIOL 1007	4.5

Electives

Course name	Area and cat no.	Units
Mathematics electives First Half (Study Period 1, 2 or 3)
Data Structures	COMP 2012	4.5
Optimisation	MATH 3009	4.5
Time Series and Forecasting	MATH 3018	4.5
Mathematics Clinic 1	MATH 3021	4.5
Operations Research Project 1	MATH 3027	4.5
Categorical Data Analysis	MATH 3024	4.5
Differential Equations 2	MATH 3025	4.5
Simulation Theory and Application	MATH 4034	4.5
Mathematics electives Second Half (Study Period 4, 5 or 6)
Applied Functional Analysis	MATH 3026	4.5
Operations Research Project 2	MATH 3028	4.5
Statistics Project	MATH 3029	4.5
Multivariate Statistical Analysis	MATH 3030	4.5
Computer Science Topics for Software Engineers	COMP 3022	4.5
Computational Biology	MATH 4041	4.5
Numerical Linear Algebra	MATH 4042	4.5
Mathematics Clinic 2	MATH 3022	9
Investment Science	MATH 3019	4.5
Decision Science	MATH 3017	4.5
Advanced Operations Research	MATH 3010	4.5

Rules & notes

Notes

1. Students are provided with the opportunity to specialise in a related science discipline of either: Computer Science; Biology; Chemistry or Physics by selecting one of the science-based Directed Electives from the list in the schedule above. Should a student wish to continue their science-discipline studies in Study Period 5, they are encouraged to do so by enrolling in subsequent courses: Programming Fundamentals; Chemistry 101; Applied Physics 2 or Biological Science 101 as their university-wide elective.

2. Students may select a freely chosen Elective course from any other School or Division. It is recommended that students do not select electives in the discipline of Mathematics. A list of elective courses is available from the UniSA website via http://www.unisanet.unisa.edu.au/programs. The selection will be subject to availability and satisfaction of pre-requisite requirements.

3. The availability of Mathematics Clinic 1 is dependent upon student eligibility and minimum enrolment requirements. Should Mathematics Clinic 1 not be offered, students in the Applied Mathematics and Optimisation streams will be advised to enrol in Variational Calculus. Students in the Statistics stream will be advised to enrol in Design and Analysis of Experiments.

4. Advanced Mathematics Clinic is a continuation of the group project commenced in Mathematics Clinic 1. When Clinic is not available, students will be required to enrol in Mathematics Project 2 (MATH 3013) in lieu of Advanced Mathematics Clinic in Study Period 5.