The unit provides PGR candidates with an understanding of the research design as the foundation for effective and interesting research. It emphasises a systematic approach to developing rigour in research design, building theoretical and paradigmatic links from a research idea to the design of research methods.

This unit aims to provide students with a review or introduction to the types of quantitative analysis techniques that they may be required to know, discuss or conduct, both during their PhD and in their future working lives. The unit aims to provide such a basic training with a focus on econometric and statistical analysis methods. The skills taught in this unit are considered important for all PhD candidates to possess, both during and after their candidature.

The unit is intended to introduce PhD students in the University of Sydney Business School to a broad range of philosophical approaches to research. Students also discover the practical implications for the research design accompanying each of the approaches. The unit is intended to introduce PhD students in the University of Sydney Business School to a broad range of Interpretive approaches to research, students will learn to choose a methodological approach that is appropriate for particular interpretive research enquiry, keeping in mind the epistemological 'fit' with the research question. The unit also helps students understand the practical implications of adopting a particular methodological approach.

This unit aims to provide students with an introduction to the types of advanced quantitative analysis techniques that they may be required to know, discuss or conduct, both during their PhD and in their future working lives. The unit aims to provide such advanced training with a focus on some special topics in econometric and statistical analysis. The skills taught in this unit are considered important for PhD candidates who have a large data analytic component to their thesis, for understanding and use both during and after their candidature. Topics include: Review of basic quantitative methods; Estimation; Categorical data analysis; Time series methods; Volatility modelling / VaR; Principle components / Factor analysis.

The purpose of this unit is to introduce doctoral students to the diversity of ways of conducting case study research and to improve their own research practice. Upon completion of this unit, students are able to evaluate case research and enhance their own case study design. Students also discover the practical implications for the research design accompanying each of the approaches.

The unit aims to develop advanced quantitative research proficiencies for managing and analysing large-scale datasets, and applying advanced statistical and econometric techniques using real data. This is a hands-on workshop and all material is straightforwardly applied using the software Stata.

This unit provides research candidates with the opportunity to gain in-depth business-related knowledge in their academic domain and assists them to engage in critical interrogation of academic work. Through reading and in-class discussions, candidates are exposed to seminal papers and key trends that influence the thinking within their discipline. The unit is seminar-based and candidates are expected to actively contribute to class discussions around readings and research ideas. Candidates submit a short written synthesis of the readings assigned for each session. Additionally, based on the readings and discussions, candidates write and present a 5,000 word final essay. Enrolment is limited to research candidates and is by special permission from each discipline and the Director of Doctoral Studies.