Data Driven Decision Making and Change Management in Organisations

This course is designed to introduce knowledge management and strategic planning concepts into an organizational change context and to provide an in-depth focus on data-driven decision-making in various leadership functions, including strategic planning and resource allocations in various organizations and institutions. The course examines models, tools, techniques, and theory of data-driven decision- making that can improve the quality of leadership decisions through case studies. Learning activities in the course will examine how decisions and strategies are developed and how tacit or explicit knowledge can be identified, captured, structured, valued and shared for effective use. Assessment as a dynamic process in the planning cycle will be examined. Organisational leaders are tasked with making difficult decisions based solely upon incomplete, inaccurate, misleading, and subjective information. As such, this course provides an introduction to theoretical and practical applications of data-driven decision-making and planning for change agents in organisations.

Course leader

Sirje Virkus is a professor of information science and the head of the study area of Information Sciences at the School of Digital Technologies of Tallinn University.

Target group

We invite both undergraduate and graduate students who are interested in data driven decision making and change management to participate.

Course aim

The objective of the course is to provide students the knowledge and skills on data-driven decision making and change management in the context of e-governance.

Credits info

2 EC
Upon full participation and completion of an individual project.

Fee info

EUR 250: Early-Bird fee until 31 March 2022.
EUR 300: Regular fee. Accommodation and meals are not included.