The MSc is built on top of two active research departments — the UoM Department of Accounting and Finance and the CUT Department of Finance, Accounting and Management Science. Research output is systematically integrated back into the curriculum, and into evidence-based policy advice for public and private institutions.
The Departments systematically ensure that the outcomes of their research activities are integrated into the ongoing development of the programme’s curriculum. Course content is regularly enriched and updated to reflect new findings, emerging methodologies, and shifts in the financial and FinTech sectors.
First, academic staff publish in high-impact, peer-reviewed journals and participate in competitive international research projects. Several members hold editorial roles at leading journals in finance, accounting, statistics, and data science.
Second, the Departments operate a structured mechanism for monitoring evolving labour-market trends and industry developments, particularly in finance and FinTech, and feed those signals back into the modules.
Third, Faculty members contribute expertise to public bodies and advisory scientific committees, providing evidence-based insights to support policy formulation and strategic decision-making.
The MSc draws on two complementary academic departments. Both are active in international research, both maintain industry partnerships, and both integrate their research outputs into the joint curriculum.
Established in 1990, the Department has been continuously expanding its research footprint, professional accreditations, and international collaborations. Active research areas include accounting and auditing, financial markets, financial law, neural networks, quantitative methods, and AI applications in financial reporting.
Based in Limassol, FAMS combines teaching excellence with high-impact research in finance, accounting, data science, and management. The Department is the sole representative of Cyprus at the International Economics Olympiad and maintains active links with banks, regulators, and the Cyprus financial sector.
The UoM faculty’s active research interests span accounting, auditing, financial markets, computational methods, and the legal and ethical dimensions of finance.
Cutting-edge work on financial reporting that combines textual analysis with artificial intelligence, examining disclosure quality, sentiment, and reporting behaviour.
Empirical research on asset pricing, time-series analysis, risk management, converging processes, and herding behaviour in capital markets.
Application of neural networks and machine learning architectures to financial modelling, derivatives pricing, and financial decision-making.
Research on cost and management accounting, financial reporting standards, auditing, and accounting policy in both private and public sector contexts.
Quantitative methods research informing public bodies — including expert advisory work for the European Commission and the U.S. Department of Transportation.
Interdisciplinary work on the ethics of artificial intelligence, cyber risk in financial services, and Greek and European financial law.
The FAMS Department demonstrates strong research activity across six strategic strands. These strands directly inform the joint MSc’s analytical, financial, and management content.
Recent FAMS graduate-survey data indicate that almost 90% of graduates secure employment within one year of graduation, reflecting the strong alignment of research-led teaching with labour-market needs.
Several Department members hold editorial roles in international journals across accounting, finance, statistics, and data science.
Department members translate research into policy through advisory roles in public authorities, regulatory bodies, and professional associations.
The MSc’s research orientation is supported by dedicated computing infrastructure and library resources curated for analytical and empirical work.
The UoM has built a hypercluster providing students and researchers with extremely high computing power, enabling the computationally intensive workloads that modern Artificial Intelligence and machine learning research require.
Explore infrastructureStudents access high-quality datasets and peer-reviewed journals through Thyra and a curated set of databases including Scopus, Statista, ICAP CRIF DataPrisma, Web of Science, LSEG Workspace, AllThatStats, EconLit, IEEE Xplore, Wiley Interscience, and Elsevier ScienceDirect — with on-campus and remote access via the Library’s proxy.
Library & resourcesThe Departments maintain established collaborations with regulators, central banks, public bodies, accounting and consulting firms, and private-sector organisations across Greece, Cyprus, the EU, and beyond.
The MSc dissertation is the channel through which students contribute original research, supervised by faculty whose specialisations span the strands above. Browse the curriculum to see how the taught modules feed the dissertation.