Faculty of International Management and Business


Faculty of International Management and Business
Dr. László Budai
Department of International Trade and Logistics
Associate professor
Dr. László Budai
  • Office:1165 Budapest, Diósy Lajos utca 22-24.
  • Building:Building E, 2nd Floor, Room 16
  • Phone:+36 1 467-7936
  • Internal extension:936
  • Email:budai.laszlo@uni-bge.hu


I graduated in 2008 as a teacher of mathematics and computer science. Between 2009 and 2011, I earned a master’s degree (MA) in both majors. Between 2011 and 2016, I carried out my PhD research, which aimed to assess the impact of the involvement and efficiency of IT tools in mathematics education. In 2017, I obtained a PhD. Doctoral degree from the Doctoral School of Mathematics and Computer Science of the University of Debrecen. Since 2013, I am a lecturer of Budapest Business School.

Office Hours

HoursSzerda/Wednesday 9:45-11:15
CommentA kiírt fogadóóra időpont 2022/23/2. félévének szorgalmi idejében él! The office hours will last until the end of the study period of the semester 2022/23/2! Előzetes egyeztetés szükséges/prior consultation is required

Subject(s) taught

  • Data Mining and Massive Data Management (Hungarian)
  • Introduction to Digital Business Models (Hungarian)
  • Information Management (Hungarian)
  • Information Technology and the World (Hungarian)
  • Informatics 2 (Hungarian)
  • IT Skills Development (Hungarian)
  • Professional and Financial Information Processing Skills (Hungarian)
  • Internship (Hungarian)
  • Business Information Systems B (Hungarian)
  • Business Information Services (Hungarian)
  • Business Intelligence in Practice (Hungarian)
  • Business Intelligence, Decision Support Systems (Hungarian)
  • ERP Systems (SAP) (Hungarian)

Professional career

  • 2004 - 2008teacher of mathematics and informatics
  • 2009 - 2011Diploma in Mathematics - Informatics Teacher (MA)
  • 2017Obtaining a PhD degree in Mathematics and Computer Science
  • 2017-member of public body of the Hungarian Academy of Sciences
  • 2018-GM FOSZK Digital Business Services specialization in charge
  • 2019-Chairman of the Faculty Study Committee
  • 2019-leader of BOSCH Smart Shop Floor Logistics Laboratory

Research areas

  • data models
  • data analysis
  • data visualization
  • data-driven BI self-service systems
  • Areas of application of ML / DL algorithms