Data and Decision Making

The course provides an overview of the data-driven decision-making practice. Students learn the foundations of using data for better decisions, including the basics of statistical reasoning and data-driven storytelling; origins of the data; approaches to use the data to understand causal relationships and make evidence-based judgements; opportunities and challenges of predictions and forecasting; perspectives brought by the AI and machine learning. Students will acquire skills of using the data in reasoning and communication on par with understanding the potential flaws of other’s argumentations and detecting possible data misuses and manipulations. The course will consist of lectures, quizzes, discussions and individual presentations.

Course leader

Prof. Vitaliy Roud, Ph.D. (lectures, exams)

Target group

Bachelor and Master students

Course aim

1.able to apply the acquired knowledge of data-driven decisions practices in real-life circumstances
2.communicate effectively in a way appropriate for management positions.
3.the capacity of critical and analytical thinking.
4.have the capacity for adaptation which is necessary for doing business in the global environment.

Credits info

5 EC
Students will get 5 ECTS from this course

Fee info

EUR 1100: Students who apply in the Early Bird time will get the Early Bird price for 1100 euros for 1 term
EUR 1600: Students who apply in the Early Bird time will get the Early Bird price for 1600 euros for 2 terms and 2100 euros for 3 terms

Scholarships

Students who apply in the Early Bird time will get the Early Bird price