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Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
7 ECTS
- (*)W_AOB1
Economics
o.Univ.-Prof. Helmut Pernsteiner
4 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Non-Degree Bachelor's programme Finance, Banking and Digitalisation 2025W
Learning Outcomes
Competences
Students know the basics of applied mathematics and statistics as they are required to understand their application in finance & banking. Furthermore, students know the importance and application area of these subjects in the context of business informatics in general and data science and artificial intelligence in particular.
Skills
Knowledge
Overview of applied mathematics and statistics with special consideration of their use in finance & banking
Mathematical and statistical foundations of data science
In-depth use of AI methods and tools with a focus on data science
Students know the importance and practical application of applied mathematics and statistics for finance & banking in general and for data science and artificial intelligence in particular.
