B.Sc. in Engineering Physics and Data Science
Munich, Germany
DURATION
7 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Oct 2024
TUITION FEES
EUR 1,890
STUDY FORMAT
On-Campus
Introduction
Handle the physics of the future: Become an expert in technological innovation with Engineering Physics and Data Science.
In this degree program, you will learn everything you need to be able to work as a physics engineer or data scientist later on. Physics teaches the basics - that is, you learn how things move (mechanics), how electricity works (electrodynamics), what heat actually is (thermodynamics) and what happens in the world of the tiniest particles (quantum physics).
You will learn how to deal with a lot of information (data) and how to use machine learning to design technological innovations. This involves understanding and evaluating (very) large amounts of data, which helps to find patterns and solutions to complex problems. In addition, methodological knowledge in data science is taught, which usually includes the analysis and processing of large amounts of data using statistical methods, machine learning and computational science.
More in-depth areas, such as developing new materials, researching acoustics and light (photonics), understanding chips and electronic components (semiconductor technology) or working with renewable energies, which are of particular interest to you, are offered in the form of electives in the 6th and 7th semesters, which you can immerse yourself in.
You not only acquire a lot of knowledge but also learn how to apply this knowledge to solve real problems. Gaining practical experience is a good way to do this. You will spend at least one practical semester in a company or perhaps in one of our faculty's laboratories. You will write your Bachelor's thesis by working with companies that are active in these areas.
At the end of this Bachelor's degree program, you will be able to develop solutions independently and take on key tasks in your future career as a physics engineer or data scientist.