Doctoral Program in Business Administration and Analytics
The program offers a broad range of specialisations, with PhD supervision offered by academics from Melbourne Business School.
The Melbourne Business School three-year thesis-only doctoral program in business administration and analytics provides students with an unparalleled opportunity to work directly with award-winning researchers who specialise in a wide variety of disciplines.
As Australia’s best business school, Melbourne Business School is uniquely positioned to deliver such a program by drawing on its strong connection to business and its ability to bring together a cohort of high-performing domestic and international students.
This program is specifically designed for high achieving candidates with an exceptional potential for undertaking cutting-edge research in one or more areas specialisation.
Specialisations
The program offers a broad range of specialisations, with PhD supervision offered by academics from Melbourne Business School on a broad range of fields including (but not limited to):
- Accounting
- Business Analytics
- Economics
- Finance
- Human Resource Management
- Leadership
- Management
- Marketing
- Operations
- Organisational Behaviour
- Statistics and Econometrics
- Strategy
- Sustainability
For more information on Melbourne Business School's academic staff, please visit mbs.edu/faculty
Success story
Melbourne Business School offered a collegial environment to undertake my studies, and throughout I was provided with a high level of personal and professional support. I was fortunate to be supervised by very accomplished researchers in my specialisation, and with their collaboration I published several research papers in leading academic journals, helping me to build an international profile of my own.
DR RUBEN LOAIZA-MAYA
PhD 2018, Statistics and Econometrics
University of Melbourne
Current PhD Students
Frederik Bossaerts
PhD (Business Analytics)
Frederik's research focuses on price formation and strategic behaviour of informed traders in financial markets, as well as the construction of optimal portfolios under different limited information sets.
Noor de Bruijn
PhD (Business Analytics)
Noor's research centres on using natural language processing to analyse gender bias in workplace performance evaluations.
Lin Deng
PhD (Business Administration)
Lin's research involves the development of Bayesian statistical methods applied to high-dimensional data and dynamic processes.
Yu Fu
PhD (Business Analytics)
Yu’s research lies in the intersection between machine learning and Bayesian econometrics, with a focus on developing flexible variational inference for econometric models.
Gaomin Liu
PhD (Business Administration)
Gaomin joined Melbourne Business School as a doctoral researcher, primarily focusing on sustainability and business innovation.
Yiing-Chee Tan
PhD (Business Analytics)
Yiing Chee’s research interest revolves around an interdisciplinary approach, employing statistical and econometric tools to analyse financial, economic, or time series data.
Weiben Zhang
PhD (Business Administration)
Weiben's research interest lies in Bayesian econometrics, with a focus on estimation methods for big models and data, and their application to stochastic modelling in finance.
Past PhD Students
Dr. Muralee Das
PhD (Business Administration),
2017
With a background in senior executive roles in international sports management, Muralee’s PhD thesis focused on leadership and firms’ processes that deliver blended value and the leadership of social entrepreneurs.
Dr. Ruben Loaiza-Maya
PhD (Business Administration),
2018
Ruben completed his PhD in statistics and econometrics. His research focuses on developing models and estimation methods that can be applicable to large data sets with multiple and highly dependent variables.
Dr. Nazanin Babolmorad
PhD (Business Administration),
2023
Nazanin completed her PhD in Finance. Her research lies at the intersection between finance and computer science, with a focus on extracting information from textual data for financial markets.
This course is offered at the University of Melbourne, Parkville campus.
For detailed information on the course including subject information, fees and how to apply, please visit Study Hub on the University of Melbourne website.
