Upgrade your expertise in mathematical sciences with a Master of Science in Mathematical Sciences from ANU. In this program you can study a variety of courses tailored to your own interests and needs, ranging from pure mathematics to mathematical modelling, computational mathematics and applications of mathematics to many research areas (such as biology, astronomy, physics and environmental sciences), to related disciplines such as statistics, computer science, and econometrics.

The Graduate Diploma in Biostatistics at The University of Melbourne provides an understanding of the concepts and analytic skills required to tackle today's ever-increasing quantity of quantitative data in the health sciences, so that we can generate and apply new solutions to real-world problems. The course encompasses the design of experiments and the collection, summary and analysis of data, including, importantly, the interpretation and communication of data analysis to health professionals using real-world datasets. Our one year full-time (2 years part-time) course offers both on campus and online subjects, On completion of the Graduate Diploma in Biostatistics you will have attained a similar range of skills required for employment as a biostatistician as those completing the Master of Biostatistics.

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.

UQ's Master of Financial Mathematics is designed to equip you with 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 1.5 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. You'll also be able to experience financial markets first-hand with an industry placement project, applying your knowledge and skills while working in sectors such as banking, energy trading or superannuation. With a Master of Financial Mathematics qualification from UQ you'll be highly sought after by investment banks, corporate risk management units, insurance companies, fund management institutions, financial regulatory bodies, brokerage firms and trading companies.

The Master of 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 MPhil is a highly flexible course that mirrors the structure and breadth of the Doctor of Philosophy. The Master of Philosophy (MPhil) can be taken in any discipline for which appropriate supervision supervision and resourcing are available.

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).

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.

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.

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.