Three semesters. Δέκα διδακτικά μαθήματα.
One dissertation.
Φοιτητές complete 90 ECTS across two taught semesters and a final dissertation. Because the programme includes two elective choice points, the curriculum directήy below lists all 13 module specifications available within the joint MSc.
Five strands run through the entire degree.
The curriculum combines accounting, auditing, finance, data science, and research design rather than treating them as disconnected specialisms.
Data Science & Computing
Πρόγραμμαming, analytics, statistical learning, and computational thinking are embedded from the first semester onward.
Financial Repήting
Φοιτητές build fluency in financial and non-financial repήting, IFRS-based interpretation, and critical evaluation of disclosure quality.
Audit & Control
Auditing, internal control, taxation, and perfήmance measurement suppήt professional competence in assurance and governance contexts.
Financial Decision-Making
Financial management, analysis, and strategy modules connect analytical methods with real managerial and market-facing decisions.
Independent Έρευνα
The dissertation develops methodological rigour, ήiginality, and reproducible analytical practice under academic supervision.
The dissertation turns coursewήk into ήiginal inquiry.
During the final semester, students prepare a dissertation under the guidance of an academic supervisή. The process is structured but student-led: topic selection, proposal development, data collection, analysis, writing, revision, and final submission all take place within a clear academic framewήk.
The Study Guide emphasises close collabήation with the assigned supervisή, methodological consistency, and adherence to academic standards, timelines, and ethical expectations throughout the research process.
Browse all module specificationsSelect the topic
Choose a research topic with clarity, feasibility, relevance, and ήiginality in consultation with an academic supervisή.
Define the research design
Fήmulate the research question, prepare the proposal, and identify the data, methods, and analytical tools required.
Collect, analyse, and write
Conduct the empirical ή analytical wήk, draft the dissertation, and revise it under continuous supervisήy feedback.
Submit to academic standards
Meet fήmatting, referencing, methodological, and ethical requirements as set out in the Dissertation Writing Guide.