Statistics & Data Analysis
Programme overview
Main Subject
Mathematics
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
This degree programme provides a thorough training in statistical methodology and modelling and their application to interdisciplinary problems. In addition, students will learn to use the computer as a tool for analyzing data. To these ends, they acquire essential mathematical skills and a profound knowledge of probability theory and statistics as well as relevant programming skills. Specialized courses in, for example, economics and computer science or lectures in further areas of mathematics beyond statistics supplement this knowledge. Through a combination with courses on more advanced statistical topics, students are able to develop their own individual profile.
The first study year focuses on an application- and data-driven approach to statistics, before, from semester 3, fundamental courses in probability and mathematical statistics lay the foundations for more advanced subjects in the field.
The knowledge and skills acquired during the programme enable graduates to solve statistical problems independently and competently. Moreover, graduates will be able to apply appropriate statistical methods to analyze data in interdisciplinary contexts, to interpret the results correctly and to communicate findings efficiently.
Programme overview
Main Subject
Mathematics
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
This degree programme provides a thorough training in statistical methodology and modelling and their application to interdisciplinary problems. In addition, students will learn to use the computer as a tool for analyzing data. To these ends, they acquire essential mathematical skills and a profound knowledge of probability theory and statistics as well as relevant programming skills. Specialized courses in, for example, economics and computer science or lectures in further areas of mathematics beyond statistics supplement this knowledge. Through a combination with courses on more advanced statistical topics, students are able to develop their own individual profile.
The first study year focuses on an application- and data-driven approach to statistics, before, from semester 3, fundamental courses in probability and mathematical statistics lay the foundations for more advanced subjects in the field.
The knowledge and skills acquired during the programme enable graduates to solve statistical problems independently and competently. Moreover, graduates will be able to apply appropriate statistical methods to analyze data in interdisciplinary contexts, to interpret the results correctly and to communicate findings efficiently.
Admission Requirements
Scholarships
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