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Masters Degrees in Mathematics, Australia

We have 11 Masters Degrees in Mathematics, Australia

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Do you have an aptitude and passion for mathematics and statistics, a keen interest in finance and insurance and want to work for a major financial organisation in finance, insurance or the money market? This course will provide you with a deep understanding of the world of finance, and give you the ability to speak its 'language'. Read more
Do you have an aptitude and passion for mathematics and statistics, a keen interest in finance and insurance and want to work for a major financial organisation in finance, insurance or the money market? This course will provide you with a deep understanding of the world of finance, and give you the ability to speak its 'language'. This course combines theory with hands-on practical skills via an industry placement or research project – ensuring you graduate with the right skills increasingly being sought by banks and other financial institutions.

The Master of Financial Mathematics offers advanced training in the core areas of stochastic, financial and insurance modelling, statistical analysis and computational methodology, as well as in a wide range of elective topics from economics, econometrics, finance, mathematics and probability.

Graduates of this course are likely to enter specialist careers in research departments within banks, insurance and consultancy firms or derivatives of valuation and portfolio management within investment houses.

The School of Mathematical Sciences sits within the leading Faculty of Science at Monash University. This vibrant, dynamic and successful School is undergoing a period of growth with the appointment of several new senior academic staff including Professor Gregoire Loeper, Course Director for the Masters of Financial Mathematics. With mathematics as the fundamental underpinning of so many subject areas, sectors and disciplines, the School is also building ever stronger collaborations with relevant industries, including the financial sector.

Visit the website http://www.study.monash/courses/find-a-course/2016/financial-mathematics-s6001?domestic=true

Course Structure

The course is structured in three Parts. Part A. Orientation studies, Part B. Specialist studies, Part C. Applied professional practice. All students complete Part B. Depending upon prior qualifications, you may receive credit for Part A or Part C or a combination of the two.

Part A. Orientation studies
These studies provide an orientation to the field of Financial Mathematics. You will choose studies that complement your current knowledge relevant to financial mathematics, including principles of econometrics, mathematical methods and stochastic processes.

Part B. Specialist studies
These studies will provide you with advanced knowledge and skills relevant to thoughtful, innovative and evidence-based practice in financial modelling and analysis. You will acquire core knowledge of and skills in financial econometrics, and advanced mathematical modelling and computational methods in finance. You will complement these with study in areas of your choice, including interest rate modelling, Markov processes, statistical learning in finance, and global financial markets.

Part C. Applied professional practice
These studies will provide you with the opportunity to apply your knowledge skills developed in Part A and B to "real life" problems, through completing an industry project or an industry internship. Students admitted to the course who have a recognised honours degree or graduate diploma or graduate certificate in a cognate discipline including mathematics or statistics, will receive credit for this part however, should they wish to complete a 24 point research project as part of Part B they should consult with the course convenor.

For more information visit the faculty website - http://www.study.monash/media/links/faculty-websites/science

About Mathematical Sciences

The School of Mathematical Sciences at Monash University is leading the way towards finding effective solutions to some of society's most pressing problems. Maths is the language of science and forms the basis of most of modern science and engineering. Our enthusiastic mathematicians love finding the true magic and beauty in maths and subsequently pass this passion on to their students.

Teaching

Studying maths equips you with a range of valuable, unique skills. Some of the exciting areas mathematicians at Monash are working on include mathematical modelling to predict behaviour, analysis using pure maths, and stochastic processes involving risk, randomness and change.

Mathematics and statistics are also the two cornerstones for decision making and various quantitative activities in commerce, industry, education and defence. From direct and daily experience, most companies and organisations have realised that success depends critically on the level of analytical, quantitative and statistical skills of their workforce and they therefore seek employees with a sound mathematical training.

By studying mathematics at Monash, you will also develop general skills in problem-solving, critical thinking, modelling, learning, analysis, research and creativity, which can be used wherever your career may take you.

Research

The School of Mathematical Sciences focuses on these main areas of research:

- Applied and Computational Mathematics
- Pure Mathematics
- Stochastic Processes

Find out how to apply here - http://www.study.monash/courses/find-a-course/2016/financial-mathematics-s6001?domestic=true#making-the-application

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The Masters of Science (Mathematics and Statistics) is a flexible program that allows students to study subjects across Pure Mathematics, Applied Mathematics, Mathematical Physics, Operations Research, Discrete Mathematics, Statistics, Probability and Stochastic Processes. Read more

The Masters of Science (Mathematics and Statistics) is a flexible program that allows students to study subjects across Pure Mathematics, Applied Mathematics, Mathematical Physics, Operations Research, Discrete Mathematics, Statistics, Probability and Stochastic Processes. Subjects are taught at an advanced level and form an ideal preparation for research in Mathematics and Statistics, including doctoral (PhD) studies.

Students in the Master of Science (Mathematics & Statistics) who have a weighted average mark of 80% or higher in the prerequisite undergraduate major, are eligible for consideration for the Graduate Research Program in Science. This is a five-year course of study comprising the Master of Science and the Doctor of Philosophy (PhD)Find out more.

Upon completion of this course, students should have:

  • Discovered the challenge of research in mathematics and statistics;
  • A deeper knowledge of mathematics and statistics;
  • Completed a substantial piece of research; 
  • A sound preparation for future research in mathematics or statistics.

CAREER OUTCOMES

Qualified mathematicians and statisticians are in high demand due to a national shortage. Consequently, graduates of higher level degrees in these areas often attract head-hunters and above average salaries. As a graduate, you may find a rewarding career in:

  • Quantitative analysis
  • Equities analysis
  • Statistics
  • Operations management
  • Labour supply
  • Consulting
  • Data services
  • Strategic management
  • Financial services and fund management
  • Biostatistics
  • Business development
  • Scientific programming


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Fast-track your qualification. study full-time and complete in 18 months. Learn from leading biostatisticians at the University of Melbourne and Australia-wide. Read more
  • Fast-track your qualification: study full-time and complete in 18 months
  • Learn from leading biostatisticians at the University of Melbourne and Australia-wide
  • Benefit from a hybrid approach to teaching: subjects offered both face-to-face and online
  • Attain skills for employment as a professional biostatistician in medical and public health research centres, universities, hospitals, government departments and the pharmaceutical industry.
  • Our course is accredited by the Statistical Society of Australia Inc. and is an affiliated program of the Biostatistics Collaboration of Australia.

COURSE DESCRIPTION

Biostatistics provides the concepts and analytic skills required to tackle today’s ever-increasing deluge of quantitative data in the health sciences, so that we can apply new understanding to the solution of real-world problems. It 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.

If you naturally ask ‘why?’, appreciate the value of scientific rigour and have an inclination towards grappling with data to address complex real-world problems, then this degree will equip you with the skills and insights needed for using data to improve health. Your professional background could be in health sciences or mathematics; this degree suits both, but you must have an aptitude for mathematics.

Our 18-month full-time (three-year part-time) course offers both on campus and online subjects, meaning you can benefit from interaction with local biostatistics experts and also have access to academic biostatisticians located throughout Australia via our affiliation with the Biostatistics Collaboration of Australia.

 Career essentials and outcomes

This degree covers all the necessary statistical theory, but the emphasis throughout is on the application and adaptation of computational analysis using real health datasets. The compulsory research project ensures that you are able to apply your skills to real-world problems. The wide-ranging elective subjects allow great flexibility in terms of biostatistics career pathways.

With a critical shortage of biostatisticians worldwide, there are ample career opportunities in a wide variety of workplaces, from medical research centres, universities and hospitals, to government departments and the pharmaceutical and medical-device manufacturing industries. This degree also provides an excellent grounding for those wishing to undertake a PhD. Our course is accredited by the Statistical Society of Australia Inc. (SSAI).



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Computational Biology is a rapidly growing field at the intersection of biology, mathematics and computer science. The Master of Computational Biology is a 300 point degree that aims to meet the educational needs of students seeking to work as computational biologists in industry, academia or government. Read more

Computational Biology is a rapidly growing field at the intersection of biology, mathematics and computer science. The Master of Computational Biology is a 300 point degree that aims to meet the educational needs of students seeking to work as computational biologists in industry, academia or government.

The course consists of:

  • Core subjects that provide theoretical and practical training in the analysis, interpretation, and management of large biological data sets;
  • Electives that provide specialist training in core areas of computational biology including bioinformatics, systems biology, biological and ecological modelling and biophysics.
  • Additional electives chosen from an array of disciplines including computer science, mathematics, statistics, biology, chemistry, physics, genetics and biochemistry;
  • A project (industry, applied or professional) and/or a research project (the option to undertake a research project is dependent on a student’s results and availability of suitable project and supervisor);

Professional skills modules which provide training in business, communications and science application.



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