PhD Management
Program Overview
The Ph.D. is a research-intensive program, designed to attract doctoral-level students with excellent academic potential, to prepare them to excel in the field of management research and to become leading management scholars and academics. Paramount importance is placed on ensuring adequate academic supervision; hence each proposed area of research study is scrutinized to ensure that a) the candidate has an adequate academic background in the area and b) top-notch academic supervision is readily available.
The PhD programme aims for doctoral researchers to become capable of analyzing a range of data using a range of qualitative and quantitative techniques as well as to be able to develop, test and expand theories underlying different approaches to management research. The PhD implies work from the student that allows to bring a significant contribution to knowledge through frontier research. PhD research is focused on developing theories, addressing a gap between theories, or addressing a gap in the general body of knowledge. The PhD may be more appropriate for students who are focused on a faculty career in higher education or a career as a researcher in a research centre.
PhD in Management requires students to take advanced business and research courses and spend time conducting an in-depth research study.
The program aims to produce scholars whose research is of the highest academic quality and for this to be attained it offers structured research training and supervision by faculty prominent in their fields. Thus, the PhD programme includes both an advanced coursework component and a strong and rigorous research component. In supervising the thesis work of PhD candidates, priority will be given to interdisciplinary collaborations between faculty members from the different fields.
PhD Management Program includes:
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Admissions Requirements
- A Master’s degree, preferably an MBA or MSc in a Management area or Economics, from a recognised accredited programme and a reputable institution, with a strong academic record in a major field of study and background relevant to the proposed graduate-level studies with a GPA of 80% or equivalent . Exceptionally qualified candidates from honours bachelor programs, and students with a Master degree in fields unrelated to management, may be admitted conditionally upon completing one year of study at the Master level (a minimum of 10 MBA or MSc courses relevant to their field of study totalling 60 ECTS, approved by the Ph.D. Faculty Committee).
- Strong quantitative and computational skills to allow competent research and analysis appropriate for the selected field of study, evidenced by relevant educational background.
- English Language (at least 6.5 IELTS; 570 paper-based TOEFL; 220 computer-based TOEFL; or other accepted International Standard, if from a school where English is not the teaching language).
- Three (3) reference letters from professors and practitioners familiar with the candidate and his/her academic performance.
- The application should include a preliminary research proposal, of about 1500 words, that describes the candidate’s proposed research topic including:
- The research questions and their significance
- The proposed research methodology
- The key literature on the research topic
- A timetable for completing the Ph.D.
- A successful hour-long interview by the Ph.D. Faculty Committee which includes:
- the Program Director
- the prospective doctoral thesis’ lead supervisor
- a faculty member in the applicant’s field of study
- a faculty member specializing in Quantitative/Qualitative Research Methods
Program Learning Outcomes
- Pursue original research in their field of study relating it to the general body of knowledge within their field.
- Pursue research of significance in their field under the guidance of academic advisors while developing the intellectual independence that typifies true scholarship.
- Critically apply theories, methodologies, and knowledge to address fundamental questions in their primary area of study.
- Demonstrate skills in oral and written communication sufficient to publish and present work in their field and to prepare research grant proposals.
- Follow the principles of ethics in their field, in research and more generally in academia.
- Present the results of their research in a critical and scholarly way.
- Master research and writing skills as to produce publishable research in peer-reviewed academic journals.
- Independently and systematically generate original knowledge and understanding to make a substantial contribution to a discipline.
- Demonstrate a mastery of skills and knowledge at a level required for college and university teaching and assessment of student learning in their discipline.
Program Requirements
The European Credit Transfer and Accumulation System (ECTS in short) is a tool of the European Higher Education Area for making studies and courses more transparent. It helps students to move between countries and to have their academic qualifications and study periods abroad recognized. The credits below are based on the ECTS.
To graduate students must complete 240 ECTS credits as follows:
a. Students who entered the programme with a Master’s degree receive credit for 60 ECTS on account of their Master’s and are required to earn an additional 180 ECTS credits as follows:
-
- Earn 60 ECTS from core doctoral courses.
- Earn 30 ECTS from an approved Structured Dissertation Proposal
- Earn 90 ECTS from the Completed, Defended and Approved Doctoral Dissertation
b. Exceptionally qualified candidates with a bachelor programme admitted into the PhD Programme, are required to complete one year of study (60 ECTS) at the Master level and then earn an additional 180 ECTS credits as follows:
-
- Earn 60 ECTS from the core doctoral courses
- Earn 30 ECTS from an approved Structured Dissertation Proposal
- Earn 90 ECTS from the Completed, Defended and Approved Doctoral Dissertation
Core Courses
Contact Hours: 36 Credits: 10
2. PM1100 – Theoretical Foundations of Management Research
Contact Hours: 36 Credits: 10
Contact Hours: 36 Credits: 10 OR
PH1020 – Advanced Qualitative Research Methods
Contact Hours: 36 Credits: 10
Contact Hours: 36 Credits: 10
2. PH1030 – Academic Research Design, Writing & Publishing
Contact Hours: 36 Credits: 10
Contact Hours: 36 Credits: 10
PM1130 – Dissertation Proposal Writing, Presentation and Approval
Credits: 30
Credits: 15
2. PM1150 – Dissertation Research: Data Collection & Analysis
Credits: 15
3. PM1160 – Findings & Interpretation
Credits: 10
4. PH1040/2 – Workshop Presentation & Feedback
Credits: 10
Credits: 10
6. PM1180 – Final Draft Writing & Submission
Credits: 20
7. PM1200 – Presentation, Defense & Approval
Credits: 10
UoL Faculty Members To Be Supervising Doctoral Theses
Professor Doron Sonsino
PhD Stanford University
Business Economic, Experimental Finance
Economic & Financial Management
Professor Vassilis Polimenis
PhD Wharton, University of Pennsylvania Finance,
FinTech and Econometrics
Economic & Financial Management
Professor Andreas Artemiou
PhD Penn State University Statistics, Machine Learning
Professor Waldemar Pfoertsch
PhD Free University Berlin Digital and Innovative Marketing
Strategic & Marketing Management
Professor Theodore Panayotou
PhD University of British Columbia Economics, Ethics,
Environmental Management
Professor William Brian Howieson
PhD University of Edinburgh
Leadership, Human Resource Management
Associate Professor Paris Cleanthous
PhD Yale University
Strategic Management
Public Sector Management
Associate Professor Olga Kandinskaia
PhD MGIMO University Moscow
Economic & Financial Management
Associate Professor Andrey Afanasiev
PhD Steklov Mathematical Institute, RAS
PhD Institute of Economics, RAS
Finance & Fintech
Financial Management
Associate Professor Ioannis Christodoulou
Aristotle University of Thessaloniki
Educational Leadership and Management
Business Ethics
Assistant Professor Snezana Eminidou
University of Cyprus
Economic & Financial Management
Assistant Professor Panagiotis Kosmas
Cyprus University of Technology
ducational Leadership and Management
Assistant Professor Ferrarini Louca
Leiden University, The Netherlands
Digital transformation of Business
Technology Management
Assistant Professor Christodoulos Efstathiades
National Technical University of Athens
Machine Learning; Date Analytics
Technology Management
Assistant Professor Panagiotis Kouvaros
Imperial College London
Artificial Intelligence; Safe AI /Technology Management
English (UK) 
Ελληνικά