Fuzzy Data Analysis (Hägusate andmete analüüs majanduses ja ärijuhtimises)

The program is suitable for analysts, consultants, public officials in need of the skills of different analysis techniques (eg public sector special subject managers), and master’s students who must have a bachelor’s degree or equivalent, also Ph.D. students. Previous knowledge of statistics or econometrics is not required.

This program provides a review of the theoretical foundations and applied methods of new modern technology of mathematical modeling of management, production, and broader economic problems – fuzzy modeling – in the context of solving practical problems of economic analysis, marketing, logistics, management, and creation and use of software and information technology. The purpose of the program is to provide practitioners and students, including masters, and graduate students with opportunities to learn the basics of fuzzy set theory and practical skills in fuzzy modeling. The successful graduate of the program receives:

• Practical skills for developing applications of fuzzy data analysis;
• Skills in the creation of applied computer decision-making models based on fuzzy logic approaches;
• Skills in using specialized software for various management, marketing, business, and economic tasks.

In the 2024/2025 academic year, the course takes place from December to April once a week on either Fridays or Mondays as 6-hour study days. We will add the specific dates of the study at the beginning of December.

The program consists of 2 subjects:

• Specific applications of fuzzy data and practical training (6 ECTS);
• Introduction to the concept of fuzzy sets: analysis, systems and applications (6 ECTS).

Academic top-level (professor) with practical experience in performing respective analyses in different fields and applications.

Admission is based on a bachelor’s degree or the corresponding level of education and the submission of a motivation letter.

Please enter a short letter of motivation in the “additional information or questions regarding participation in the training” field when registering for the course. Please include your educational and professional background and a brief explanation of why you would like to participate in the program.

If you have completed your previous studies outside the University of Tartu, it is necessary to submit a document proving your education. Please send the proof of education to kersti.kurri@ut.ee by the deadline for registering for the course.