Updating Results

University of Melbourne

  • 37% international / 63% domestic

Master of Science (Mathematics and Statistics)

  • Masters (Coursework)

Mathematics and statistics provide powerful tools for understanding the natural world and human endeavours, ranging from health care to logistics to economics.

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time, 4 years part-time
Course Code
094599G
Study Mode
In person
Intake Months
Mar, Jul

About this course

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.

Study locations

Parkville

What you will learn

Course structure

The Master of Science (Mathematics and Statistics) is a 200-point course, made up of:

  • Discipline subjects (137.5 points), including compulsory subjects and electives
  • A professional skills subject (12.5 points)
  • A research project (50 points, or 25 points with approval and other subjects to compensate).

You'll 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

You'll select your subjects from the large range of advanced mathematics and statistics subjects on offer. The course will be made up of subjects from your chosen specialty and others. You can even choose masters level subjects in physics, computer science or bioinformatics. You can also take subjects through the Australian Mathematical Sciences Institute (AMSI) National Graduate Summer School.

You'll choose your professional skills subject from a selection that includes modelling, science communication, and scientific computing, giving you an extra skill that you can take with you through your career.

All students undertake a research project, over 12-18 months, working on a mathematics and statistics research question. To support you and provide direction, you'll be matched with one of our expert researchers as a supervisor. During the first semester of study you'll select your research topic and supervisor, with the research project usually beginning in the second semester.

Career pathways

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.

Our graduates go on to work as data scientists and analysts, macroeconomists, quant analysts and data engineers.

Employers in this field include:

  • Consulting firms including PWC, KPMG and EY
  • Financial services companies such as ANZ, NAB and IAG
  • IT companies such as IBM and Telstra
  • Medical research institutes such as the Walter and Eliza Hall Institute and the Murdoch Children's Research Institute
  • Universities and public research institutions such as the CSIRO.

How to apply

Application closing dates

Start-year Intake
Timely applications: 30 November 2021

Mid-year Intake
Timely applications: 31 May 2021

Note: Commonwealth Support Places (CSPs) will be allocated in timely application rounds, you will need to have submitted your full application prior to the timely application deadline to ensure you have the best chance to obtain a CSP.

Graduate outcomes

Graduate satisfaction and employment outcomes for Engineering courses at University of Melbourne.
72.5%
Overall satisfaction
85.4%
Skill scale
54.7%
Teaching scale
78.8%
Employed full-time
$66k
Average salary