"The world's most valuable resource is no longer oil, but data” (The Economist, 2017). Everyone is talking about topics such as "artificial intelligence" and "big data”. In our everyday live, we are surrounded by data, numbers and trends. In order to have a say in these matters, the main discipline Quantitative Methods provides you with the basics for understanding methods, models and the possibilities for applying them to business and economic problems.

Curriculum and courses

In the first semester, we offer two lectures on important foundations of Mathematics and we deal with Analysis, Linear Algebra and Financial Mathematics. In the second semester, you will learn to use mathematics to determine optimal solutions in the lecture on Mathematical Optimization and to collect and prepare data and reliably describe samples in Descriptive Statistics. In the third semester, data-supported decisions are prepared and analyzed for operational challenges: Here, quantitative models for Operations Research and probability calculation for Inferential Statistics are available.

In the courses on Quantitative Methods of the first three semesters and beyond that in course-specific events in the higher semesters, you will learn to deal with methods and to think in a model-oriented way and how to apply this knowledge to examples for your study program.

Benefits

The Department of Quantitative Methods offer you the right tools to prepare decisions and to make them based on a quantified data basis in your specific study program. The fields for application are diverse. They range from financial mathematical knowledge, which you can use both in your personal live and in a company, to the versatile field of statistics to models of mathematical optimization. You will learn to understand business contexts in a structured way and how to to present those finding in a way that it can be understood by others.