Zita Mónika Nagy, Dr.

Mónika Zita Nagy, Dr.

Last modified: 26. October 2022

​​​​​​​Dr. Mónika Zita Nagy
associate professor
PhD, 2009
tel.: +36 82 505 800 / 3505
e-mail: nagy.monika.zita@uni-mate.hu

My goal with the taught subjects is for the students to acquire knowledge that is up-to-date and can be used in everyday life. I consider it important to present the points of connection between the current curriculum and current socio-economic phenomena, thus making the more complicated analysis tools interesting and easy to learn. During my research, I strive for cooperation between the university's institutes. I also participate in the implementation of domestic and international research and educational development projects.

Name of organizational unit: Department of Agricultural Data Processing and Data Analysis

Professional experience:

  • ​​​​​​​2010-: at the University of Kaposvár, lecturer
  • Project manager and professional implementer of several national and international tenders
  • I was the Head of the Methodological Institute of the University of Kaposvár
  • Chairman of the Agricultural Economics Working Committee of the Academic Committee of Pécs

Education, qualification:
•    Penta Unió: Chartered Accountant (Entrepreneurship), 2011
•    Kaposvár University: certified agricultural economic engineer, 2005
•    Kaposvári Nozzlopy Gáspár Közgazdasági Szki.: Foreign trade administrator, 2000

Fields of research and activities: wildlife management, regional development differences, agricultural enterprises, economic analysis, statistical methods, digital management

Doctoral training information: https://doktori.hu/index.php?menuid=192&lang=HU&sz_ID=35892
Publication data: https://m2.mtmt.hu/gui2/?type=authors&mode=browse&sel=10028458

Taught subjects:
•    Business economics 1-2-3
•    Agricultural statistics
•    Data Analysis and Quantitative Ecology
•    Business statistics
•    Digital management

Optional thesis topics:
•    Territorial development studies with a statistical eye
•    Statistical analysis of wildlife management
•    Company analysis using statistical methods
•    Economic analysis of agricultural enterprises