Management Science and Technology

1. Departmental Context and Research Mission

The Department of Management Science and Technology (MST), at the Hellenic Mediterranean University, is an active academic department as part of the School of Administrative Sciences and Economics. The Department's focus is broad and focused on the intersection of management theory and practice; and, data driven decision making; organizational systems and technology innovation.
It seeks to provide analytical rigor combined with practical application to address contemporary issues relating to organizations, economies and technologies.
The Department's Doctoral Studies program will continue to build on this foundation by developing scholars who are able to conduct original research that adds to our understanding in the areas of management science, information systems, digital transformation, business analytics, and organizational design.
The Department has created a research culture that is fostered through collaborative work and engagement with external partners; regular research seminars; and, academic dissemination opportunities that allow the Department's faculty and doctoral students to engage with global scholarly communities.

2. Doctoral Programme Structure and Progression

The PhD in Management Science and Technology operates within national statutory frameworks and the Department's own policies. The typical time frame for full-time study can be at least three (3) years, however, this may be extended for up to six (6) years based upon the complexity and scale of the research undertaken by the student.
Admission to the program will be competitive, and subject to the applicant having appropriate academic credentials, a record of relevant research experience, and developing a doctoral research proposal that is consistent with the interests and capabilities of departmental faculty. Applicants to the program will submit a research proposal outlining their research questions, conceptual framework, preliminary methodology, and the expected implications of their work.
Following admission into the program, the candidate will enter a research-focused period of their studies where they are expected to be undertaking independent research rather than coursework. During this period the candidate is expected to develop their research agenda, undertake and conduct rigorous analyses, and engage with the existing literature in the field. In addition to their independent research activities, the candidate is required to regularly meet with their supervisors to provide them with feedback and critique on the quality of their work.
The doctoral dissertation serves as the major indicator of the student's scholarly abilities. The dissertation must demonstrate original thought, methodological rigor, and contribute new knowledge to the discipline of either theory or practice in the areas of management science and technology. Upon the successful completion, the student will present their dissertation in a public oral defense of their dissertation to an expert panel of examiners.

3. Academic Domains and Research Focus Areas

The PhD programme in Management Science and Technology supports research across several interrelated domains, all of which reflect key areas of contemporary management and technological transformation:

Strategic Management, Organizational Change, and Leadership

Research in this domain focuses on how organizations navigate complexity, competition, and change. Topics include strategic decision-making, organizational adaptation, leadership in digital contexts, governance structures, and change management frameworks that integrate technology and human capital.

Digital Transformation and Innovation

Candidates explore the strategic adoption of digital technologies, innovation ecosystems, digital business models, and the organizational impacts of digital disruption. Research here often involves empirical investigations of how firms leverage digital tools for competitive advantage and sustainable value creation.

Business Analytics, Decision Support, and Information Systems

This domain emphasizes data inference, analytical decision support systems, data governance, and the integration of quantitative methods in managerial decision processes. Doctoral research may involve advanced analytical techniques such as machine learning, optimization, simulation modelling, and predictive analytics applied to real organizational data.

Project Management and Systems Integration

Research topics address project design, execution strategy, risk assessment, and systems thinking for complex organizational systems. This domain is concerned with both technology-enabled project management and the integration of processes that support cross-functional coordination.

Consumer Behavior, Marketing Analytics, and Service Systems

In this domain, research focuses on the interface between humans and organizations, investigating consumer behavior under evolving marketplace dynamics, the role of digital marketing, and the optimization of service processes and quality.

4. Research Integration, Facilities & Professional Engagement

The Department of Management Science and Technology provides research integration through a collaborative approach to analysis, and by providing access to analytic tools and through an engaged research network. While doctoral research in this area does not require candidates to utilize physical laboratories (such as in engineering sciences), candidates will extensively utilize computational, statistical, and data analytics resources for empirical study. This includes access to research software for data analysis, simulation, computational modeling, and decision support system development.

The department also offers candidates an opportunity to engage in research externally through collaborations on funded research projects at both the national and European level. In addition to contributing as a collaborator or principal investigator on such projects, candidates can also acquire experience as a researcher, develop their project management skills, and become familiar with real world problems related to industry and public policy needs. The program utilizes a formalized quality assurance process that involves collecting feedback from students, alumni, academic partners, and employers to continuously evaluate and enhance the research training provided by the program, aligns curriculum expectations with internationally recognized research standards, and ensures ongoing relevance.

5. Graduate Outcomes and Professional Preparation

The graduates of the PhD in Management Science and Technology  are prepared to:

• Formulate and conduct independent research that contributes to theoretical and applied knowledge in management science and technology.

• Apply both qualitative and quantitative research methodologies in rigorous analysis and interpretation.

• Communicate research findings effectively to diverse academic and professional audiences.

• Lead multidisciplinary research efforts and collaborate across institutional and cultural boundaries.

• Recognize ethical, social, and professional responsibilities in the conduct and dissemination of research.

• Engage in lifelong learning and adapt to evolving scholarly frameworks and technological innovations.

The programme’s emphasis on analytical depth, cross-disciplinary relevance, and strategic insight ensures that graduates are capable of influencing research, practice, and policy in a range of global contexts.