2018/2019
MA-MMFUV1026U S1: Risk Management
English Title |
S1: Risk Management |
|
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 |
|
Last updated on
14-12-2018
|
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. |
Examination |
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