Business Management FT
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Financial Mathematics and Statistics

level of course unit

first cycle, Bachelor

Learning outcomes of course unit

• have basic knowledge about quantitative methods of economic sciences and basic knowledge about statistical methods and procedures to describe and analyze economic data.
• are able to assess and implement descriptive statistics (empirical distribution, means, measures of dispersion), probability calculations, one-dimensional and two-dimensional probability variables, theoretical distributions, samples and sample distribution as well as methods of estimation (confidence intervals) and test procedures (parameter tests, variance analysis, distribution tests) and regression analysis (linear single and multiple regression).
• are familiar with the fundamentals of financial business management and its differentiation of tasks in financial management (liquidity planning, financing and investing) and are familiar with the values of corporate management and value-oriented corporate management.

prerequisites and co-requisites

not applicable

course contents

Part A: Introduction to fundamentals based on this, students then tackle economic questions by applying mathematical methods from the following fields: fundamentals of mathematics, functions, differential calculus, functions of several independent variables, integral calculus.

Part B: Students acquire basic knowledge about fundamental statistical concepts. They are able to evaluate and interpret statistical data. Introduction to fundamental statistical concepts: empirical distributions, means, measures of dispersion, probability calculation, random variable.

recommended or required reading

Pfeifer, A. (2001): Praktische Finanzmathematik, Frankfurt am Main, 2000.
Salomon, E. u. W. Poguntke: Wirtschaftsmathematik, 2. Auflage, Köln.
Schwarze, J. (2000): Mathematik für Wirtschaftswissenschaftler. Band 1-3, 11. Auflage, Berlin.
Tietze, J. (2000): Einführung in die angewandte Wirtschaftsmathematik, 9. Auflage, Braunschweig, Wiesbaden.
Tietze, J. (2001): Einführung in die Finanzmathematik, 4. Auflage, Braunschweig, Wiesbaden.
Bleymüller, J./ Gehlert, G./ Gülicher, H.(2012): Statistik für Wirtschaftswissenschaftler
Quatember, A.(2010): Statistik ohne Angst vor Formeln: Das Studienbuch für Wirtschafts- und Sozialwissenschaftler
Schira, J.(2009): Statistische Methoden der VWL und BWL: Theorie und Praxis

assessment methods and criteria

written examination

language of instruction


number of ECTS credits allocated


planned learning activities and teaching methods

Lecture, group work, presentation and task discussion

semester/trimester when the course unit is delivered


name of lecturer(s)

Prof. (FH) DDr. Mario Situm

year of study

1.year of studies

recommended optional program components

not applicable

course unit code


type of course unit


mode of delivery

In-class course

work placement(s)

not applicable