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2018/2019  MA-MMFUV1026U  S1: Risk Management

English Title
S1: Risk Management

Course information

Language English
Course ECTS 6 ECTS
Type Elective
Level Part Time Master
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Min. participants 10
Max. participants 30
Study board
Study Board for Master i forretningsudvikling
Course coordinator
  • Tom Kirchmaier - Department of Accounting (AA)
Main academic disciplines
  • Managerial economics
  • Accounting
Teaching methods
  • Face-to-face teaching
Last updated on 14-12-2018

Relevant links

Learning objectives
  • Show knowledge of the big picture of compliance and risk management
  • Demonstrate an understanding of how to think about risks and what to measure, different ways to enforce compliance and the value for the financial sector.
  • Apply theories and models of the course to real cases.
Course prerequisites
This course is relevant for all interested in the growing and changing field of compliance and risk management in general, and financial sector specifically.
S1: Risk Management:
Exam ECTS 6
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Essay
Duration Written product to be submitted on specified date and time.
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content and structure

Data is changing the world, and with it what we can do (in terms of business models), how we look and understand systems, and the inherent risk in it. This course tries to give an overview over the technological changes driven by data, an introduction into the empirical models so that course participants can confidently oversee and discuss the work of specialists. In the second phase it then discusses the compliance dimension, which logically follows on the back of understanding risk. This course will be grounded in a real life cases and theoretical perspectives of the challenges experienced by companies.


The course will introduce statistical methods and use of big data in identifying and measuring risk, the regulatory changes and the link between Risk Management and Compliance.

Description of the teaching methods
This course will make use of short lectures, guest presentations, simulations, exercises, and workshops. There will always be two lecturers at each session.
Feedback during the teaching period
Feedback during lectures will be possible.
Student workload
Preparation 113 hours
Teaching hours 32 hours
Exam 20 hours
Last updated on 14-12-2018