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 and the higher-level vocational programme in Business Information Technology while it oversees two-thirds of the courses offered as part of the above programmes. The Department is responsible general for the IT courses taught at the Faculty. 

There are 3 mathematicians in the department (holding PhD degrees); 2 mathematics instructors (with PhD), 3 economists (2 with PhD and 1 candidate), 4 instructors holding engineering and IT degrees, 4 instructors holding IT degrees (1 qualified) and a sociology and IT instructor. 75% of the instructors have worked for several years or are still working in the private sector.

The instructors of the department offer courses in 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 of 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: developing data mining (including image analysis) methods, digital maturity at SMEs; determining digital maturity by the two-step Fuzzy method; methodological problems in the teaching of programming. 

Some research-related publications: 

• Gubán, Ákos; Sándor, Ágnes: Állapotváltozásos folyamatrendszerek izolációja, Logisztika - Informatika - Menedzsment (Isolation of state-changing process systems, Logistics - Informatics – Management) 3: 1 pp. 83-89. , 7 p. (2018) 
• Baják Imre; Baják Szabolcs; Gubán Ákos: Adatbázisok tervezése – esettanulmány egy közszolgálati személyügyi rendszer fejlesztéséről, Logisztika - Informatika - Menedzsment (Database design - case study on the development of a public service personnel system, Logistics - Informatics – Management) 3: 1 pp. 21-29. , 9 p. (2018) 
• Gubán, Ákos; Mezei, Zoltán: Modeling Economic Processes of Hungarian Prison Service, Asian Business Research 2: 1 pp. 31-41. , 11 p. (2017) 
• Demetrovics J; Hua, N S; Gubán Á: A Formal Representation for Structured Data Acta Polytechnica Hungarica 13: 2 pp. 59-76. , 18 p. (2016) 
• Richard Kása; Miklós Gubán; Ákos Gubán: Logistical processes of service system, with special regard to their amelioration - A model framework 1 pp. 31-51., 20 p. 
• Benedek Botond; Mihai-Constantin, Avornicului: Designing an event extraction system; Management Intercultural XIX: 38/2017 pp. 105-112. (2017) 
• Razvan, Petrusel; Loredana, Mocean; Mihai, Avornicului; Ramona, Lacurezeanu; Dan-Andrei, Sitar Taut; Liana, Stanca Baze de Date si Programare Cluj-Napoca, Romania: Risoprint (2017), 173 p. ISBN: 9789735320713 

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 
• StarSchema