The Department is responsible for the IT programme of the Faculty of Finance and Accountancy. It is primarily responsible for the undergraduate Business Information Technology programme in Hungarian and English and the higher-level vocational programme in Business Information Technology. It also supervises two-thirds of the courses offered within the above programmes. The Department is generally responsible for the IT courses taught at the Faculty. 

The instructors of the department offer courses on the following topics: ERP systems, banking system architecture, financial institution queries, banking informatics, IT modelling and application development, basics of financial and accountancy informatics, project management, material flow systems, logistics process modelling, process modelling, artificial intelligence, SQL business applications business analysis methodology, PLSQL in business applications, BigData technology, BigData analytics, data mining in practice, business intelligence, data visualization, knowledge management, computer science, data automation, business informatics, database systems, programming basics 1-2, OO programming, developing basic applications, computerised production management, SQL for business applications.

The Department conducts research in the following fields:

The study of the associations between data sets based on the shopping cart theory (also based on quantitative criteria - Big Data; Artificial Intelligence); process analysis of relationships among divisions in structured organizations; Machine Learning: who is suitable for which position (based on sample data); market/competitor monitoring for small businesses: development of data mining methods (including image analysis), digital maturity in SMEs; determination of digital maturity by the two-step Fuzzy method; methodological problems in the teaching of programming; applications of AI in various fields.

Some research-related publications:

• Gubán, Á., Sándor, Á., & Mezei, Z. (2022). A digitáliskarbonlábnyom-paradoxon feloldhatóságának problémája a kis- és középvállalkozások esetében. KÜLGAZDASÁG, 66(9–10), 76–99. http://doi.org/10.47630/KULG.2022.66.9-10.76
• Sándor, Á., & Gubán, Á. (2022). A multi-dimensional model to the digital maturity life-cycle for SMEs. International Journal of Information Systems and Project Management, 10(3), 58–81. http://doi.org/10.12821/ijispm100303
• FORMAN, N., & UDVAROS, J. (2023). Digital Innovation in Hospitality: Bridging the Gap between Concierge Services and Hotel Guests. JOURNAL OF ENVIRONMENTAL MANAGEMENT AND TOURISM, 14(6), 2673. http://doi.org/10.14505/jemt.v14.6(70).15
• Szabó, L., Forman, N., & Avornicului, M. S. (2023). Digital challenges of production processes in a company. INTERNATIONAL JOURNAL OF ADVANCED NATURAL SCIENCES AND ENGINEERING RESEARCHES, 7(6), 377–380. http://doi.org/10.59287/ijanser.1176
• Fauszt, T., Erdélyi, K., Dobák, D., Bognár, L., & Kovács, E. (2023). Design of a Machine Learning Model to Predict Student Attrition. INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 18(17), 184–195. http://doi.org/10.3991/ijet.v18i17.41449
• Szabó, L., Szabó, K., Forman, N., & Udvaros, J. (2023). THE ISSUE OF DIGITAL COMPETENCES IN LOGISTICS TECHNICIAN TRAINING IN HUNGARY. In INTED2023 (pp. 5735–5738). http://doi.org/10.21125/inted.2023.1500
• Kusper, G., Biró, C., Adamkó, A., & Baják, I. (2021). Introducing w-Horn and z-Horn: A generalization of Horn and q-Horn formulae. ANNALES MATHEMATICAE ET INFORMATICAE, 54, 33–43. http://doi.org/10.33039/ami.2021.03.009

New educational materials:

• Gubán Ákos; Rádi György: Anyagáramlási rendszerek (Material flow systems); Budapest, Hungary: Akadémiai Kiadó (2018) ISBN: 9789634541929 
• Gubán Ákos; Hua, Nam Son: Számítástudomány (Computer Science), Budapest, Hungary: Akadémiai Kiadó (2018) ISBN: 9789634542179 
• Rádi György: A termelésirányítás szervezési módszerei (Organizational methods of production management), Budapest, Hungary: Akadémiai Kiadó (2018) ISBN: 9789634541912 
• Avornicului Mihály Szilárd, Gubán Ákos, Seer László Szűcs Izabella: Internet és lehetőségei (Internet and possibilities), Budapest, Hungary: Academy Press (2019) ISBN: 
• Kovács Endre: Üzleti intelligencia (Business Intelligence) (2018) Károly Eszterházy University EFOP-3.5.1 Dual and practice-oriented courses 
• Kovács Endre: Az üzleti intelligencia korszerű módszerei (Modern Methods of Business Intelligence) (2018) Károly Eszterházy University EFOP-3.5.1 Dual and practice-oriented courses

Professional contacts:

·       SAP Hungary

·       Oracle Academy

·       IBM

·       KPMG

·       Deloitte

·       SAS