Course
Enterprise Risk Management (RIS650)
Facts
Course code RIS650
Credits (ECTS) 10
Semester tution start Autumn
Language of instruction English
Number of semesters 1
Exam semester Autumn
Time table View course schedule
Literature The syllabus can be found in Leganto
Introduction
The course teaches basic principles of enterprise risk management (ERM) based on recent advances in risk science.
NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by August 20th for the autumn semester.
The course addresses risk, uncertainty, knowledge, and performance in an enterprise risk management (ERM) and business context. Important topics are ERM frameworks; uncertainties and the potential for surprises; ERM integrating with strategy and performance; and integration of complementary concepts like robustness, resilience, and vulnerability.
After passing this course, the students should:
Knowledge
- have in-depth knowledge of enterprise risk management (ERM) principles and frameworks
- have knowledge of theories, methodologies and concepts related to ERM
- understand the importance of considering risk in the strategy-setting process
- have knowledge about types of risk commonly addressed in ERM
Skills
- have the ability to apply principles and frameworks of ERM
- have the ability to perform risk management work in an enterprise and business context
General competence
- strengthen the ability to communicate challenges and solutions related to enterprise risk management
Required prerequisite knowledge
Recommended prerequisites
RIS500 Risk analysis and risk management
RAG500 Foundations of risk analysis and risk science
Exam
Semester assignment and written exam
Semester assignment
Weight 1/2
Duration 1 Semesters
Marks Letter grades
Aid All
Exam system Canvas
Written exam
Weight 1/2
Duration 4 Hours
Marks Letter grades
Aid None permitted
Exam system WISEflow
Both semester assignment and written exam must be passed in order to receive a final grade in the course.
Digital written exam. When artificial intelligence is used in assessments, the student must document this by completing and submitting the self-declaration form. If you submit text, calculations, etc. that are directly copied from an AI writing tool, this will be regarded as presenting the work of others as your own and therefore constitutes cheating.
The semester assignment starts in the beginning of the semester with deadline late October/early November. The work is carried out in groups and includes a mandatory oral presentation of the group results.
Continuation opportunities are not offered on the semester assignment. Students who do not pass the semester assignment can take this part again the next time the subject has regular teaching.