Course AMI27V

Data-Driven Leadership

7.5 Credits
Second Cycle

Starts week 46, 2024

The course teaches theories and abstract concepts and illustrates them with practical labs and experiments. The course starts with the problem of making an individual, rational investment decision and reviews the contained concepts and the feasibility of obtaining estimates on the concepts. In this context, strategies for data acquisition and search cost are reviewed. The learnt concepts of utility and preferences are then generalized to collective decisions and the information sharing fallacy is identified. The fallacy is connected to game theoretical insights. Having conceptualized conventional hinders in attaining collective decisions that satisfies the decision-makers, Mechanism Design is introduced as a technology for achieving satisfactory solutions.

Throughout the course, students are assigned to a team and the performance of the team and its members is monitored by each student by means of a self-reflecting protocol. The student‘s practical implementation of the theories is assessed and feedbacked in frequent team seminars.

Starts and ends:
week 46, 2024 - week 3, 2025
Study Rate:
Time of Day:
Teaching form:
P: Course only offered as part of programme.
Entry Qualifications :
  • Bachelor’s degree in Statistics, Economics, Business Administration, Computer Science, Information Science or Informatics comprising at least 180 credits and English 6
Selection :
Guarenteed admission
Application Code:
Main field of study:
Tuition Fee
First Tuition Fee Installment:
16,875 SEK
Total Tuition Fee:
16,875 SEK
EU/EEA Citizens or exchange students are not required to pay fees.
Information on application and tuition fees:
Open for late application
Literature List

Literature lists are published at the latest one month ahead of the course start date.

To Literature List
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Course room in Canvas

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Course Coordinator
Kenneth Carling