Research Focus
Numerical analysis of partial differential equations, finite element and finite volume methods, foundations of scientific computing, applications in multiphysics coupling mechanisms, error estimation and adaptivity.
Programme Structure and Funding
This programme is a full-time PhD programme with a duration of 3–4 years (36–48 months).
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Study location: Melbourne, Australia
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Application period: Applications accepted year-round
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Tuition: AUD 57,700 per year, equivalent to RMB 260,000–270,000 per year
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Language of instruction: English
The China Scholarship Council (CSC) offers scholarships to Chinese students who wish to pursue a PhD abroad. Monash University is a CSC partner institution. Students may apply for the CSC scholarship themselves via the website; the application period is from 0:00 on 1 March to 14:00 on 1 April.
Entry Requirements
Academic background: a 2:1 bachelor’s degree or above in a relevant discipline (at least four years), or a 2:1 master’s degree or above in a relevant discipline Grade requirement: GPA of no less than 3.3 Language requirements:
- IELTS 6.5, with no component below 6 (test taken within two years)
- or TOEFL 79, with Reading 13, Listening 12, Speaking 18, Writing 21 (test taken within two years)
- A degree obtained in an English-speaking country may exempt the language requirement References: detailed information for at least two referees
Application Period
Applications accepted year-round
Tuition and Living Costs
Study and Living
- Housing: Students may apply for on-campus accommodation or rent off-campus. On-campus accommodation is approximately RMB 1,600 to 3,000 per week (depending on type); off-campus rent is approximately RMB 3,700 to 7,000 per month
Career Prospects
PhD graduates in mathematics from Monash University will possess the ability to solve complex problems and advanced analytical skills, with a wide range of career options. · Academia: This is the most direct path. Graduates can undertake postdoctoral research at universities or research institutions, with the ultimate goal of becoming a lecturer or professor, continuing to push the boundaries of theory in fields such as pure mathematics and applied mathematics. · Industry and finance: This is a field that absorbs a large number of mathematics PhDs. Graduates can work in technology companies on data science and machine learning algorithm development; serve as quantitative analysts in financial institutions, undertaking financial modelling and risk management; or rely on strong modelling skills to solve practical problems in industries such as consulting, pharmaceuticals and logistics. · Government departments and research institutions: Government departments and national laboratories also need mathematics experts to conduct research related to policy simulation, economic forecasting, cryptography or national security.
