Doctoral Business Administration
Program Overview
The DBA is a doctoral program for business leaders, executives and professionals seeking to link corporate experience to organizational theory and rigorous research. It connects the business and research communities to enact change and fosters progress through original and publishable research. The DBA represents the highest level of academic achievement in business administration. The UoL DBA program is a rigorous educational opportunity provided by leading academic researchers within the field of business administration. The DBA program is designed with the highest quality standards as a course-and-research-based terminal degree.
The DBA is as academically rigorous as the PhD but is designed for senior experienced professionals who want to bring impact to their organization and/or society by leveraging academic research to solve concrete organizational problems. It connects academic theories and concepts with business and management practices leading to intellectual contributions as demonstrated by outstanding publications.
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 if you are focused on a faculty career in higher education or a career as a researcher in a research centre. In contrast, DBAs focus on real-world organizational and business problems and involve original and secondary research to explore, examine, and address those problems. The DBA is primarily for those focused on a career in business and consulting. However, many DBAs do teach in colleges and universities. PhD in Management and DBA degree programs both require the students to take advanced business and research courses and spend time conducting an in-depth research study.
In the first phase of the programme, candidates undertake advanced studies in organizational theory and management practice, and quantitative and/or qualitative research methods under the instruction and guidance of leading academics. In the second phase of the program, the DBA candidates conduct rigorous empirical research and write a dissertation of academically publishable quality under the guidance of three experienced academics as research supervisors.
The distinguishing feature of the UoL DBA is its strong organizational focus. It requires students to use organization theory in interdisciplinary ways to think critically and analytically about organizations and management, work practices, processes and institutions. The DBA offers skills and capabilities to its students, through courses in research philosophy and ethics, organization theory, research methodology and doctoral research workshops and seminars.
The DBA represents the highest level of academic achievement in business administration. The UoL DBA program is a rigorous educational opportunity provided by leading academic researchers within the field of business administration. It is equivalent in stature and rigour to a PhD degree, but distinct in that candidates pursue applied research rather than theoretical knowledge, enhancing their organization’s performance through evidence-based research and theoretically-sound practice. By conducting original research into real and complex issues in their specialist area, and through the application of sound theory and rigorous methodology, DBA candidates contribute to the body of knowledge about organizations and build expertise that grows their competitive advantage and differentiates themselves in the marketplace thereby furthering both their careers and the discipline.
Doctoral Business Administration Program includes:
Click here ↗to learn more.
Click here ↗to learn more.
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
- Master theories and methods at the frontiers of knowledge in their particular area of concentration.
- Exhibit proficiency in academic research, writing and critical thinking skills.
- Develop sound research designs so as to use and apply existing theories, to acquire new information and to develop new insights for theoretical and practical problems with scholarly integrity.
- Apply organization and leadership theories and techniques in the field of business administration using advanced communication, collaboration and critical thinking skills.
- Conduct applied rigorous research through innovative or traditional methods in the field of business administration in an ethical manner.
- Analyse emerging trends and technological influences to advance the theory and practice of business management.
- Synthesize interdisciplinary business knowledge and ethical concepts and models to explore complex problems and advance the theory and practice of global business management.
- Conduct original research in order to solve real organizational and management problems in business or public administration settings and contribute to the body of knowledge in applied organizational theory and management.
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 DBA 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. DB1100 – Advanced Organization Theories
Contact Hours: 36 Credits: 10
Contact Hours: 36 Credits: 10
4. 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
DB1130 – Dissertation Proposal Writing, Presentation and Approval
Credits: 30
Credits: 15
2. DB1150 – Dissertation Research: Data Collection & Analysis
Credits: 15
3. DB1160 – Findings & Interpretation
Credits: 10
4. PH1040/2 – Workshop Presentation & Feedback
Credits: 10
Credits: 10
6. PM1180 – Final Draft Writing & Submission
Credits: 20
7. DB1200 – 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