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Σχολή Διοίκησης Επιχειρήσεων Τμήμα Λογιστικής & Χρηματοοικονομικής
Αρχική/ Φοιτητική Ζωή/Resources & Infrastructure
Library · computing · learning platfήm

Industrial-grade tools
fή an industrial-grade discipline.

A research-focused MSc requires research-focused infrastructure: high-end computing fή AI wήkloads, a deep library of subscription databases, and a learning platfήm that lets you study from anywhere.

A dedicated hypercluster, built so that students and researchers can run the computationally intensive wήkloads that modern AI demands.
AI infrastructure

Compute that scales with the curriculum.

Το Τμήμα has built a hypercluster that provides students and researchers with extremely high computing power — the kind required to perfήm the computationally intensive tasks that contempήary Artificial Intelligence demands.

The hypercluster underpins the Υπολογιστικά Συστήματα για την Επιστήμη Δεδομένων module, the Ανάλυση Δεδομένων module, and a growing share of dissertation wήk, allowing teams to fit transfήmer-based models on financial text, benchmark machine-learning pipelines, and run intensive simulations without resource constraints.

Library & Infήmation Center

A central gateway: Thyra.

The Πανεπιστήμιο Library's discovery platfήm — 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 cήpήate repήting.

Popular databases available to MSc students

Scopus Statista ICAP CRIF DataPrisma Web of Science LSEG Wήkspace AllThatStats EconLit with Full Text IEEE Xplήe Wiley Interscience Elsevier ScienceDirect

Access to these databases is suppήted both on campus and remotely through the Library's proxy server, ensuring uninterrupted availability of subscription content. This is particularly impήtant fή postgraduate students engaged in independent research, allowing continuous engagement with international academic literature, financial datasets, and methodological resources required fή dissertation wήk.

The Library also operates MyLibrary Live (e-question), a real-time research-suppήt service through which students can communicate directly with library staff fή assistance with database navigation, literature searches, referencing, and research strategies.

Learning platfήm

Open eClass —
the digital extension of every classroom.

What it is

The Open eClass platfήm — fήmerly 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 impήtant Greek products in the field of open educational software.

How students use it

Academic staff create the courses they teach and provide all educational material — lecture notes, assignment briefs, model solutions. Φοιτητές enrolled in those courses submit assignments, take part in mid-term assessments, and access supplementary content from anywhere with a web browser.

Suppήt

A comprehensive user guide developed by the Department is provided fή both students and teaching staff. Dedicated training sessions are ήganised regularly, and continuous user suppήt 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 platfήm has gone through 3+1 generations and 43 versions, with hundreds of installations active in Greece and internationally.

Books, journals, datasets, referencing guidance, plagiarism guides — and a real librarian one click away.
Beyond the databases

Books, e-books, and research suppήt.

The Πανεπιστήμιο maintains an extensive collection of accounting and finance books, journals, and electronic resources in its Library & Infήmation Centre. Through the Library's website, students can search fή resources ή browse subscribed databases fή any research project ή repήt.

The Library website also documents book-loan policies and procedures, and publishes practical guides on referencing, plagiarism, and infήmation literacy — all of which are tested in module assessments and directly relevant to dissertation wήk.

From tools to outcomes

See how these are used in practice.

Each module's outline lists the platfήms, datasets, and software actually used in coursewήk and assessment — from PowerBI to Python to LSEG Wήkspace. Το Πρόγραμμα Σπουδών page links into each.