Master of Science in Banking and Finance
The financial sector needs economists with a thorough micro- and macrofinancial training, and a mastery of data science and quantitative risk management techniques for modern financial services companies. The goal of this programme is to deliver experts who are able to formulate and implement innovative solutions to tackle today’s relevant banking, asset management and risk management challenges in financial services firms.
About the programme
Programme summary
Find out more
Off to a good start
After graduation
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
1
|
sem 1
|
en
|
Rudi Vander Vennet
|
6
|
|
|
1
|
sem 2
|
en
|
Michael Frömmel
|
6
|
|
|
1
|
sem 1
|
en
|
William De Vijlder
|
5
|
|
|
1
|
sem 1
|
en
|
Frank De Jonghe
|
6
|
|
|
1
|
sem 1
|
en
|
Gerdie Everaert
|
4
|
|
|
1
|
sem 1
|
en
|
Kris Boudt
|
4
|
|
|
1
|
sem 2
|
en
|
Koen Inghelbrecht
|
4
|
|
|
1
|
sem 2
|
en
|
Jeroen Kerkhof
|
4
|
|
|
1
|
sem 2
|
en
|
Selien De Schryder
|
4
|
|
Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
---|---|---|---|---|---|---|
|
1
|
year
|
en
|
Michael Frömmel
|
17
|
|
Competence field 1: Competency in one or more scientific disciplines
- Demonstrate advanced insight in the state-of-the art knowledge in the fields of financial markets, banking, financial risk management and asset management.
- Analyze and solve problem-based return/risk trade-offs in banking using relevant quantitative methods.
- Understand and apply appropriate risk and portfolio management techniques and models.
- Understand and apply recent theoretical and empirical models of financial markets.
- Integrate the related fields of monetary economics and corporate finance in the analysis of banking and finance problems.
- Identify and adapt sophisticated quantitative and econometric techniques to analyze complex financial problems.
- Use advanced software (such as MatLab, Eviews) and subject-specific databases (such as Datastream, Bankscope) to solve banking and finance problems.
- Understand the dynamics and interconnectedness of financial issues and provide sound policy advice to professionals and policymakers.
- Define financial research questions based on up to date academic and professional literature.
- Set up a research framework autonomously and select the appropriate quantitative research method given data characteristics and theoretical and empirical constraints.
- Select and manipulate appropriate data to solve real-world financial problems.
- Develop financial models and applications by using advanced statistical software.
- Analyze and solve financial problems with a high degree of autonomy based on up-to-date scientific knowledge.
- Adapt and apply diligently selected models and quantitative techniques to analyze real-world financial issues.
- Articulate a balanced and scientifically well founded position in discussions about public policy issues in banking and finance.
- Exhibit a critical attitude towards existing paradigms and accepted solutions in finance.
- Present analyses and own research results in written reports to peers, academics and finance professionals.
- Present papers and own research results orally to peers, academics and finance professionals.
- Cooperate in teams on financial sector problems assuming different roles.
- Interact with professionals from the financial sector.
- Integrate the ethical dimension in financial decision making and governance of financial institutions and processes.
- Assess economic and ethical consequences of evolutions and innovations in the financial sector and act accordingly in the interest of society at large.
Departures from the Scheduled Academic Calendar for this Study Programme
Flexible Academic Calander
- Courses are in a modular structure, for more information: https://www.ugent.be/eb/en/study-programmes/master-banking-and-finance/overview.htm.