Master of Science (Mathematics and Statistics)
UniSQ's Master of Science (Mathematics and Statistics) is ideal for graduates from any discipline looking to develop their mathematics/statistics knowledge and skills.
About the Course
UniSQ's Master of Science (Mathematics and Statistics) is ideal for graduates from any discipline who are looking to develop their mathematics/statistics knowledge and skills. Even if you haven’t studied in some time, this degree will provide you with an in-depth education in mathematical and/or statistical techniques and problem solving skills. Examine the fundamentals of theoretical and applied statistics, mathematical modelling and operations research, and computing and coding skills. This degree incorporates practical methods for undertaking analysis, modelling and evidence-based, data-driven decision-making.
Course Entry Requirements
- 3-year Bachelor degree from an Australian university or equivalent; or equivalent professional work experience, as determined through the Credit and Exemption procedure. Proof of meeting the English Language Proficiency requirements is also required.
- Exemptions/credit will be assessed based on the UniSQ Credit and Exemption Procedure. Claims for credit for previous study should be submitted prior to or at the time of enrolment. Each claim will be assessed on individual merit in line with UniSQ policy.
Course Structure
Recommended study pattern
Year 1
SCI6103 Research Fundamentals & Ethics
STA6200 Statistics for Quantitative Researchers
MAT5002 Algebra and Calculus A
STA6190 Applied Experimental Design
MAT5300 Applied Operations Research A
MAT5200 Algebra and Calculus B
STA6302 Applied Statistical Models
1x Elective
Year 2
MAT5409 Advanced High Performance Numerical Computing
MAT6105 Advanced Partial Differential Equations
STA6100 Multivariate Analysis for High-Dimensional Data
MSC6001 Research Project I
MSC6002 Research Project II
1 x Elective
Award requirements
Completion of 16 units as outlined in the Recommended Study Pattern section.
- Integrate an advanced understanding of a complex body of expert knowledge in a discipline of science.
- Apply established research theories and principles associated with scholarship and/or professional practice within a relevant science discipline.
- Critically analyse, reflect on, and synthesise complex expert information, problems, concepts and theories applicable to a relevant science discipline.
- Interpret and transmit expert knowledge, skills and ideas, both individually and collaboratively, to specialist and non-specialist audiences.
- Display autonomy, responsibility, adaptability and ethical practice in decision-making and engage in lifelong learning through critical reflection in a range of professional and cultural contexts.
