Big Data Analytics and Business Intelligence

blended course

July 25 - August 11, 2023; 1 week online, July 24 - 28, 2 weeks in-class in Munich, August 3 - 11
Course content: Are you looking to generate and capture greater competitiveness in a data-driven business environment?
Big Data Analytics and Business Intelligence refer to a variety of methods and techniques for the analysis of large amounts of business data such as
(pre-) processing and extracting information from large datasets,
modeling underlying patterns by means of powerful data models, as well as
reporting and visualization of corporate information.

Course leader

Prof. Dr. Thorsten Sellhorn
Dr. Andreas Woltschläger, M.Sc., MBR
Dr. Gereon Hillert, M.Sc., MBR

Target group

Bachelor students, Master students as well as young professionals and scientists with an interest in corporate finance and business intelligence.
Prerequisites for participation are a good command of written and spoken English. Lectures, presentations and examinations will be held in English. Even though we do not require students to submit language test results, we urge students with poor language skills to abstain from applying. Knowledge of German is not a prerequisite.
In the interest of maintaining the program's high standards, the number of participants will be limited to 20.

Course aim

The objectives of the course are:

In this course, you will learn conceptual foundations of Big Data Analytics and Business Intelligence as well as the practical application using Microsoft PowerBI
To apply Big Data Analytics and Business Intelligence concepts to business topics such as product market analysis, sustainable earnings, cost of capital and investment analysis .
To develop data models using PowerBI in order to derive key insights in the company’s processes. Powerful visualization tools and scenario analysis allow a better understanding of key performance drivers of the underlying business model. These insights are of particular interest for key stakeholders such as managers, analysts and investors.

Credits info

6 EC
ECTS credits

Fee info

EUR 1200: This fee includes:
• Registration fee: € 300,00 (€ 150 early bird)
• Tuition fee: € 1050,00
• Accommodation:
€ 300.00 (double room, with shower and toilet on each floor)
€ 340.00 (double room with shower and toilet)
€ 450.00 (single room with shower and toilet)