300 EUR registration fee (non-refundable) / 695 EUR tuition
With an early-bird application (until 1 September 2026), the registration fee is reduced to 150 EUR.
Mix of live seminar sessions / online classroom via "MS Teams" as well as asynchronous teaching via Moodle
Bachelor's students, Master's students, as well as young professionals and scientists with an interest in corporate finance and business intelligence.
We put special emphasis on the use of modern business intelligence tools to tackle a wide variety of real-world business problems, focusing on corporate decision-making and big data modelling. Hence, you will learn to consume, analyse and model corporate data based on state-of-the-art data analytics tools. Adopting a user perspective, you will learn how to create data models to inform different corporate decisions, building on large amounts of data.
From the perspective of a business analyst, we will apply these data analytics methods to key business topics such as sales analysis, product portfolio analysis, derivation of key cost drivers, as well as profitability analysis. Using Microsoft Power BI, you will learn to describe, model and explore data and create dashboards to improve economic decision-making in today's corporate environment.
The objectives of the course are:
All essential programming skills are taught in this course, and there are no prior programming skills required.
300 EUR registration fee (non-refundable) / 695 EUR tuition
With an early-bird application (until 1 September 2026), the registration fee is reduced to 150 EUR.
Mix of live seminar sessions / online classroom via "MS Teams" as well as asynchronous teaching via Moodle
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Master's degree
Doctorate
Graduate school
Language course/short course
