A research-focused MSc requires research-focused infrastructure: high-end computing for AI workloads, a deep library of subscription databases, and a learning platform that lets you study from anywhere.
The Department has built a hypercluster that provides students and researchers with extremely high computing power — the kind required to perform the computationally intensive tasks that contemporary Artificial Intelligence demands.
The hypercluster underpins the Computing for Data Science module, the Data Analytics module, and a growing share of dissertation work, allowing teams to fit transformer-based models on financial text, benchmark machine-learning pipelines, and run intensive simulations without resource constraints.
The University Library's discovery platform — Thyra — is a single search across books, peer-reviewed journals, and bibliographic databases. Through it, postgraduate students access high-quality datasets and resources covering financial analysis, auditing standards, data analytics, econometrics, and corporate reporting.
Access to these databases is supported both on campus and remotely through the Library's proxy server, ensuring uninterrupted availability of subscription content. This is particularly important for postgraduate students engaged in independent research, allowing continuous engagement with international academic literature, financial datasets, and methodological resources required for dissertation work.
The Library also operates MyLibrary Live (e-question), a real-time research-support service through which students can communicate directly with library staff for assistance with database navigation, literature searches, referencing, and research strategies.
The Open eClass platform — formerly known as GUnet eClass — is a Learning Management System designed and developed by the GUnet eLearning group as open-source software (GNU GPL). It is one of the most important Greek products in the field of open educational software.
Academic staff create the courses they teach and provide all educational material — lecture notes, assignment briefs, model solutions. Students enrolled in those courses submit assignments, take part in mid-term assessments, and access supplementary content from anywhere with a web browser.
A comprehensive user guide developed by the Department is provided for both students and teaching staff. Dedicated training sessions are organised regularly, and continuous user support is available to address technical issues and enhance the overall experience.
Open eClass is accessible at openeclass.uom.gr using credentials issued upon enrolment. Twenty years after launch, the platform has gone through 3+1 generations and 43 versions, with hundreds of installations active in Greece and internationally.
The University maintains an extensive collection of accounting and finance books, journals, and electronic resources in its Library & Information Centre. Through the Library's website, students can search for resources or browse subscribed databases for any research project or report.
The Library website also documents book-loan policies and procedures, and publishes practical guides on referencing, plagiarism, and information literacy — all of which are tested in module assessments and directly relevant to dissertation work.
Each module's outline lists the platforms, datasets, and software actually used in coursework and assessment — from PowerBI to Python to LSEG Workspace. The Curriculum page links into each.