Studying mathematics and statistics can take you into any industry, or lead to further study to deepen your knowledge and skills.
How to study Mathematics and Statistics in the Bachelor of Science
The School of Mathematics and Statistics offers four majors as part of the Bachelor of Science:
We also offer the Diploma in Mathematical Sciences, which is taken at the same time as the Bachelor of Science or another undergraduate degree. It is equivalent to studying a major in Mathematics and Statistics.
- Course advice: to help you choose your major or electives and to plan your course.
- Study Mathematics and Statistics as electives or breadth: you can study mathematics and statistics to complement your major studies in other disciplines.
If you're planning to study mathematics and statistics in the Bachelor of Science, you will need to meet the prerequisites.
If you didn't complete VCE Mathematical Methods 3/4 (or equivalent) in Year 12, you will need to complete Calculus and Probability Online. This will meet the course requirements for entry to the Bachelor of Science, Commerce or Biomedicine at the University of Melbourne, as well as for subjects within those degrees.
Diplomas and certificates
For those who didn't major in mathematics or statistics in their undergraduate degree, but now wish to complete further studies in mathematics and statistics:
- Graduate Diploma in Science: for students who have already completed a bachelor degree in any discipline, and meet the first-year subject prerequisites for their chosen stream.
- Graduate Certificate in Science: for students who have already completed a bachelor degree in any discipline, and meet the first- and second-year subject prerequisites for their chosen stream.
- Graduate Diploma in Science (Advanced): for students with a relevant undergraduate major to complete additional study in mathematics and statistics and gain credit towards a Master of Science (Mathematics and Statistics).
- Graduate Diploma in Data Science: the ideal starting point for a career in data science if you don’t have a background in computer science or statistics.
A graduate degree in mathematics and statistics can prepare you for entry into the workforce with specialist skills, or it can be a pathway to graduate research - for example a PhD.
- Master of Science (Mathematics and Statistics): a coursework masters that’s a pathway to graduate research in mathematics and statistics.
- Master of Science (Bioinformatics): a coursework masters that’s a pathway to graduate research in the field of bioinformatics.
- Master of Computational Biology: a professional coursework masters, which draws from biology, mathematics and computer science.
- Master of Data Science: a professional coursework masters, giving you the tools to make sense of big data.
If your future lies in research, our Graduate Research Pathway offers a guaranteed masters + PhD pathway to fulfil your research ambitions.
Graduate research (PhD and MPhil)
If you complete a masters course with a significant research component, you can go on to study a PhD (Doctor of Philosophy), or another graduate research program:
List of possible supervisors available for PhD and MPhil research projects.
For enquiries, contact the Graduate Research Coordinator, Dr Sophie Hautphenne: firstname.lastname@example.org
The University of Melbourne has one of the most generous scholarship programs in Australia. With over 1200 scholarships and prizes available for new and current students, it's more than likely there is one that you're eligible for either when you start your course or during your studies.
There are a number of scholarships available to high-achieving students studying mathematics and statistics at both undergraduate and graduate levels. You will be automatically considered for a number of scholarships, but some awards will be assessed by application.
These undergraduate scholarships are in recognition of academic success and overall performance. You will automatically be considered for these scholarships based on your academic results.
- Exceptional Talent Scholarship supports exceptional students who have applied for the Bachelor of Science and who are intending to major in Mathematics and Statistics.
- The Dixson Scholarship for Applied Mathematics is awarded as three prizes, based on academic results, nominated by the Head of Mathematics and Statistics.
- The Dixson Scholarship for Pure Mathematics is awarded as two prizes based on academic results, nominated by the Head of Mathematics and Statistics.
- The Maurice H. Belz Prize in Statistics is awarded on academic merit to a third year student continuing with graduate studies in the Faculty of Science.
- The Maurice H. Belz Prizes in Statistics are awarded to the highest and second-highest aggregate marks in the major second-year subjects Probability and Statistics.
- The John Macfarland Exhibition is awarded to the highest achieving first year student in Pure Mathematics.
- The Stephen Bell Prize is awarded to the Bachelor of Science student achieving the highest score in the second-year subject Engineering Mathematics.
- The M. L. Urquhart Third Year Prize is presented to the top third year student for their over performance in Discrete Mathematics and Operations Research,
- The Norma Mcarthur Prize is awarded to the most outstanding student in third-year Statistics of the Bachelor of Science.
- The E.R. Love Prize is awarded to third-year Bachelor of Science students placed first in the subjects Mathematics and Statistics.
There are awards available to graduate students for both coursework and research projects to recognise your hard work and achievement.
Awarded by automatic consideration:
- The Professor Nanson Prize is awarded for the best original memoir on a subject in Pure or Applied Mathematics.
- The Professor Wilson Prize is awarded for the best thesis in Pure or Applied Mathematics.
- The Wyselaskie Scholarships – Mathematics is awarded to the best graduate student in Mathematics.
- The M L Urquhart Graduate Prize is presented to the graduate student with the best overall performance in mathematics as a part of the Master of Science research degree.
- The Dwight Prize in Mathematical Statistics is awarded to the student with the highest results in Statistics and Stochastic Processes in the Master of Science.
- Master of Science (Mathematics and Statistics) Scholarship: If you achieve an average mark of 75% of greater while studying full-time and are not the recipient of a "National Scholarship" or another scholarship valued over $4000 in that year, you will receive a scholarship installment of $2000 (total maximum scholarship is $6000 over the course of your degree).
- Helen Freeman Scholarship for Mathematics and Statistics supports female students for two years in the Master of Science. Students commencing at the start of the year, must apply when they enter. Students commencing in mid-year must apply 6 months after commencing.
- The Professor Maurice H. Belz Fund supports graduate coursework or research for students travelling overseas for further study in statistics.
- The Professor Maurice H. Belz Scholarships support masters students undertaking research in statistics, applied probability, stochastic processes or operations research.
- Graduate Research Student Travel funding is available to support students to engage with national and international academic communities to advance their research training and their project through travel to conferences, workshops and direct collaborations.
- Xing Lei PhD Scholarship in Mathematics and Statistics provides additional financial support for commencing PhD candidates who are recipients of an Australian Postgraduate Award, Melbourne Research Scholarship or Melbourne International Research Scholarship and are working on a project which combines advances in a theoretical area in mathematics (including probability and statistics) with their applications in other fields including, but not limited to, biology, information technology, engineering and medicine.
Careers in maths and statistics
Our graduates go on to many and varied careers. They work in fields as diverse as research, banking, finance, commerce, mining, healthcare, software, logistics, and market research.