This page gives the Doctor of Philosophy (PhD) highlights and explains the eligibility requirements and how to apply and enrol.
- The Doctor of Philosophy (PhD) is an advanced degree awarded for original contribution to research in a student's chosen discipline, with the findings published in a thesis.
- The PhD is directed by an appointed supervisor, co-supervisor and possibly an advisory committee. It can be completed within three to four years of fulltime study or on a part-time basis.
- The degree provides a qualification for students wishing to pursue an academic or research career and is offered in all departments of The University of Auckland Business School.
A Master of Commerce with Honours (First Class or Second Class First Division), or an approved equivalent from some other recognised university. BCom(Hons) First Class Honours from The University of Auckland may also qualify.
The MBA is generally not sufficient unless substantial research has been undertaken.
For information about applying for a doctoral programme including tips on finding a supervisor and completing an Application for Admission (AfA), visit our Applying for a doctoral programme web page.
For a full listing of Business School postgraduate scholarships, search our scholarships and awards database.
Apply now for a doctoral scholarship worth up to $90,000
If your PhD thesis may have relevance and potential impact on New Zealand business and/or business development in a globalising world, you should apply for the Barry Spicer and Owen G Glenn PhD Scholarships. Winners receive up to $30,000 a year for up to 3 years and complete their PhD in the heart of New Zealand’s business capital. Applications close in December.
DEPARTMENTS, RESEARCH INSTITUTES, CENTRES AND GROUPS
- Accounting and Finance
- Commercial Law
- Graduate School of Management
- Information Systems and Operations Management
- Management and International Business
- Research centres and groups
- New Zealand Asia Institute
- New Zealand Leadership Institute
- Centre for Entrepreneurial Learning