MSc in Management
Advanced Data Analysis and Decision Making
Course Description
Students will be exposed to the most common statistical and econometric procedures and methods. Opportunities for applying learned concepts in practice are built into the course structure. Introduction to decision theory is taught, and focus is given to foundations, mathematical description, and cognitive aspects of decision making.
Learning Objectives
The aim of this course is to develop students’ understanding of key concepts and principles of data analysis and decision making. Students will become acquainted to the most common statistical and econometric procedures, learning how to apply them in practice and how to implement them on a computer (SPSS). Furthermore, students will be exposed to theoretical and practical knowledge about various aspects of decision making.
Instructors
Dr. Ivo Ponocny
Dr. Christian Weismayer
Semester Offered
Fall
