The Mathematical Sciences program is offered by the School of Mathematics and Statistics, situated in the Faculty of Science. Units of study in this program are available at standard and advanced level.
The Mathematical Sciences encompasses a diverse set of disciplines that share common ideas and themes that develop and become clear to high achieving students as they progress in their studies. Generally speaking, a deep understanding of the common ideas and their application in both theoretical and practical spheres comes as a result of high-level syntheses rather than low-level foundational learning.
We want to give our very best students the opportunity to attain this level of learning through a program which enables them to engage across the breadth of the subject and to develop depth in one or more subdisciplines. This program will form an outstanding foundation for honours at 4000-level in Pure Mathematics, Applied Mathematics, Statistics, Data Science or Financial Mathematics and Statistics and further studies including the Master of Mathematical Sciences degree.
As part of this program, a student undertakes a major in one of Mathematics, Statistics, Data Science or Financial Mathematics and Statistics as well as a set of additional units that depend on which major is selected. The additional units are intended to add breadth to a student’s mathematical sciences experience. Students may choose another major or minor, alongside the program to fulfil their degree requirements. Students are free to choose their second major, it cannot be the same as the major selected for the program, but it can be another major from the School of Mathematics and Statistics.
The Mathematical Sciences program requirements are listed in the Mathematical Sciences unit of study table.
Dr Michael Stewart
Students who graduate from Mathematical Sciences will be able to:
|1||Exhibit a broad and coherent body of knowledge in the principles and concepts of a range of foundation areas in mathematics.|
|2||Describe the breadth of the discipline, its role in other fields and the way that other fields contribute to development in mathematics, statistics and data science.|
|3||Interpret information communicated in mathematical and statistical form.|
|4||Analyse data in descriptive, interpretive and exploratory ways using graphical methods and visualisation tools.|
|5||Communicate mathematical and statistical concepts and findings through a range of modes for a variety of purposes and audiences, and effectively respond to questions and challenges.|
|6||Construct logical, clearly presented and justified arguments incorporating inductive reasoning.|
|7||Formulate and model practical and abstract problems in mathematical and statistical terms using a variety of methods.|
|8||Solve practical and abstract problems in the mathematical sciences using a range of concepts, techniques and technologies, working professionally, ethically and responsibly and with consideration of social and cultural perspectives, as individuals or as part of collaborative, interdisciplinary teams.|