Prospective Students: Quantitative Finance (M.Sc.)


Theoretical and applied questions in financial economics are not only important key competences for jobs bearing responsibility in finance and insurance companies and financial supervisory authorities, but also in research and teaching. Theories of business management and economics, statistics and econometrics, as well as theories specific to capital markets all form the basis of teaching, which, in addition to strongly focusing on research, also frequently refer to practice in the financial market. Alongside an understanding of complex model mechanisms and diverse economic modelling approaches, empirical methods allowing for testing with regard to fiscal conditions are also imparted to the students.




What does Quantitative Finance offer?


Why Quantitative Finance?

The mandatory modules that students are required to take are for example: "Mathematical Finance", "Computational Finance", "Advanced Statistics" and "Econometrics I". These modules provide the basic foundation for students to understand the issues, theoretical tools and models used to study these topics.

Students are required to complete one seminar as part of their studies. This provides the opportunity for them to explore different topics that they are interested in and present their ideas to other students with similar interests.

Elective modules in financial economics and corporate finance are built precisely for students to endeavour into areas which they are interested or might be interested in. Through these elective modules, students can also choose to specialise in areas which they are interested in.

The mathematical skills taught in the programme allow students to dive deep into the issues from a scientific point of view. Foundation of theoretical Economics knowledge will be deepened and build upon to offer students insights into the different topics. Using both theoretical and mathematical knowledge, students are better able to understand and analyse the topics economists have to address that are facing the real world. Apply the economic analysis to real world economic issues



Checklist: Do I meet the requirements of the programme?


Those who enjoy a deep analysis of financial issues and how finance is an essential part of the economy today can look forward to a rewarding and challenging programme here in the CAU Kiel. The programme requires students to make use of mathematical models and statistical software like MATLAB and STATA. The mandatory foundation modules in Quantitative Finance offer students the opportunity to study in depth the financial and mathematical methods required for a deep understanding of the topics. The flexibility of the programme structure in the Master's Degree Quantitative Finance offers students the opportunity to build their studies according to what they are interested in or what they think would be useful.Students should understand that the Master's programme is more rigorous and 'accelerated' compared to their Bachelor's programme.

1. Mathematical Abilities

It is important to have reasonable mathematical ability as the course requires a high level of analytical rigour for a successful study. Areas which are particularly important for a successful course are Algebra, differential Calculus and Integral Calculus.

2. Foundation in economic knowledge

Students are expected to have completed Bachelor's modules in MIcroeconomics and Macroecnomics and have a good foundation in these areas. Most of the modules in the Master's programme are built on these areas and it would be extremely important for students to have a background in these topics to be able to understand the course materials.

3. Computational and statistical skills

Students are required to complete Statistics and Finance modules and are therefore expected to have the introductory knowledge in these fields. The fact remains that most financial analysis done today involve the heavy usage of computational and statistical analysis. Therefore students should be able to already understand the basic concept of these tools.

4. Interest and passion

As with most things in life, without interest and passion it is definitely difficult to endeavour in anything that runs for a prolonged period of time, that includes a 2-year Master's programme (and if it's in a different country for international students). As the programme is rigourous and demanding, it is imperative that students have a general level of interest already in a field of their choice, in Finance in general, and in deepening their analytical skills.

To test if you fulfil the requirements needed to succeed in this programme, please click here to complete the self-assesment to the assess if you have the pre-requisite knowledge in the relevant areas and the analytical skills to handle the assessment in the modules in the university.


For official admission requirements, please visit the page about application and admission.



Important Documents:

The Module Manual provides all information on each compulsory and elective module.



What possibilities do I have with a Master's Degree in Quantitative Finance?


Graduates of the Quantitative Finance programme can expect a fulfilling career not only in the financial industry like banking, but also in different fields, such as consulting, research institutes, statistical reporting, business and commercial areas. Companies hire graduates of the Quantitative Finance programme because of their ability as quantitative analysts to resolve financial and risk issues. Students can therefore choose to specialise in the field that they are interested in to gain more experience in the theoretical applications of the programme.

Some of our students also go on to deepen their knowledge in Economics by continuing onto the Phd programme in CAU Kiel, or also in other universities. For more information on this route, please see Doctorate regulations and faculty webpage for the PhD studies.


What is the structure of the programme in CAU?

The pre-requisite modules set the foundation for deeper understanding of the different topics in the 2nd and 3rd semesters. The elective modules on offer at the university are for example: "Risk and Uncertainty", "Behavioural and Neuroeconomics", "Portfolio Analysis", "Econometrics for Financial Markets", "Statistics for Financial Markets" and "Multivariate Methods".  The Master's thesis is expected to be written in the 4th semester of programme, depending on the progress of the individual student.

Study Programme Advisor

The Study Programme Advisor can provide advice on

  • Structure and Content of the programme
  • Programme planning
  • Approval of change of Master's programme
  • Examination Procedure