Masters in Mathematics in Australia: Top Universities, Courses, Cost, Requirements, Eligibility & Scholarships

The Australian National University provides our Master of Philosophy students with a vibrant research community and outstanding program support. When selecting a research program, an institution's reputation is everything. ANU is one of the world's leading universities, and the smart choice for your research program.

Mathematics and statistics provide powerful tools for understanding the natural world and human endeavours, ranging from health care to logistics to economics. This coursework masters degree, which includes a major research project, will take your expertise in mathematics and statistics to an advanced level. The Master of Science (Mathematics and Statistics) provides excellent preparation for a specialist role in the workforce or graduate research in the field. The course is designed with flexibility in mind. Choose from one of five areas to specialise in: Applied Mathematics and Mathematical Biology Operations Research and Industrial Optimisation Pure Mathematics Statistics and Stochastic Processes Mathematical Physics and Physical Combinatorics

The Master of Mathematical Sciences offered by University of Sydney is an advanced Masters course designed for students aspiring to become professionals in Mathematics. Students will gain hands-on experience through practical exercises and real-world projects, allowing them to apply the concepts learned in class. The curriculum is carefully designed to ensure that students develop a strong foundation in Mathematics and acquire the skills needed to solve complex problems in the industry. Upon completion of this course, students will be well-prepared to tackle the challenges of Mathematics and pursue rewarding career opportunities such as Actuary, Data Analyst/Scientist, Mathematician, Operations Research Analyst, Financial Analyst, Statistician.

The Graduate Certificate in Mathematics and Statistics is a short and flexible program designed to deepen the mathematics or statistics knowledge gained in undergraduate studies. It's designed for students with a degree comprising a significant quantitative component, such as science, engineering or finance, who wish to consolidate their mathematical background for further studies.

Learn how to use sophisticated mathematical and computational techniques to measure and manage risk in the financial marketplace. You'll study the pricing of financial contracts such as financial and real options, management of investment portfolios, capital adequacy requirements for financial institutions, valuation of firms, optimal capital management and optimal contracting. Our 1 year full-time program offers you a practical and flexible curriculum that you can tailor to your interests and career goals through a range of elective courses, including computation in financial mathematics, financial calculus, machine learning, financial risk management, and econometrics of financial markets. Accelerate your career in organisations such as investment banks, corporate risk management units, insurance companies, fund management institutions, financial regulatory bodies, brokerage firms and trading companies. Program highlights Build on your background in mathematics, commerce or economics/econometrics. Tailor the curriculum to your interests and career goals by selecting from 20 courses. Learn cutting-edge computational methodology, mathematical modelling and stochastic methods in finance to identify strategic investment or business opportunities, manage portfolios and price financial products.

The Master of Financial Mathematics offered by Monash University is an advanced Masters course designed for students aspiring to become professionals in Mathematics. Students will gain hands-on experience through practical exercises and real-world projects, allowing them to apply the concepts learned in class. The curriculum is carefully designed to ensure that students develop a strong foundation in Mathematics and acquire the skills needed to solve complex problems in the industry. Upon completion of this course, students will be well-prepared to tackle the challenges of Mathematics and pursue rewarding career opportunities such as Actuary, Data Analyst/Scientist, Mathematician, Operations Research Analyst, Financial Analyst, Statistician.

The Master of Research is a program of independent, supervised research that can be taken in any discipline for which appropriate supervision is available and is assessed solely on the basis of a thesis. The Master of Research is a highly flexible course that mirrors the structure and breadth of the Master of Philosophy.

The Graduate Certificate in Mathematics is a three-subject course. The flexible course structure allows for study programs designed to suit different university graduates who require a mathematical foundation for further studies. The course is recommended for those with insufficient mathematics in their bachelor's degree who wish to meet the admission requirements of the Mathematical and Statistical Modelling major in the Master of Science (C04241) or Master of Mathematics and Quantitative Finance (C04419).

The Master of Applied Statistics concentrates on specialised areas of study, such as biostatistics, data mining, epidemiological methods, generalised linear models, marketing research, time series and stochastic finance. It has a strong focus on the application of contemporary statistical methods and the use of the latest computational techniques. The development of relevant computing skills also forms an integral part of this degree.

Develop your logical, analytical and creative problem solving skills and further the growth of mathematical theory and application. You will join an active research community and work with academics, peers and partner organisations who have demonstrated research success in a range of specialities, including: Mathematics Statistics and operations research RMIT's researchers deliver high-impact and influential outcomes.Success is demonstrated through excellent performance in university rankings, such as being ranked as well above world standard in the Australian Research Council Excellence in Research for Australia (ERA) 2015 round. Full-time candidates are expected to commit at least four days per week (or at least two days per week for part-time candidates) to their research. The academic year is 48 weeks.

The Master of Philosophy aims to expand knowledge beyond the undergraduate honours or postgraduate diploma level, culminating in a research thesis. Upon completion of a master by research degree, you may apply to be considered for entry into a Doctor of Philosophy (PhD) program.

Take the first step on your career journey towards the revolutionary field of big data. There's currently high demand for data scientists1, and this graduate certificate will prepare you for the workplace, or to study towards a master degree. Vast volumes of data are generated every day around the globe. The need to make sense of it has given rise to the revolutionary area of 'Big Data', and to a new career of 'data scientist'. Data scientists find patterns, making meaning and drawing value from the seeming chaos. This postgraduate degree is offered as part of a suite of three programs (graduate certificate, graduate diploma and master). Each qualification extends to the next, so you can easily transition to a master level qualification. In the Graduate Certificate in Data Science you will gain an understanding of core concepts in information technology and statistics. You will develop: cognitive skills to review, analyse, consolidate and synthesise knowledge and identify and provide solutions to complex problems in data science cognitive skills to think critically and to generate and evaluate complex ideas specialised technical and creative skills in data science communication skills to demonstrate an understanding of theoretical concepts communication skills to transfer complex knowledge and ideas to a variety of audiences

Industrial and scientific organisations collect data to gain an understanding of their environment and the effects of past and future events. Statistical computing provides insight into processes that generate the data, allowing analysis of the effect of events and the prediction of future events. This course introduces the skills and knowledge, with a strong focus on practical application, required to begin a career in statistical modelling and analytics.