Engineering Physics and Data Science Hochschule München University of Applied Sciences

In this degree programme, you will learn everything you need for a career as a physics engineer or data scientist later on.

Physics teaches the basics – you will 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, are offered in the form of elective courses in the sixth and seventh semesters.

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 programme, you will be able to develop solutions independently and take on key tasks in your future career as a physics engineer or data scientist.

We regularly offer online information sessions for prospective students on the Bachelor Engineering Physics and Data Science:

https://sci-intern.hm.edu/fk/aktuelles.php?mode=1&studgang=PSB&info=1&lang=en

The table below provides an overview of the structure of the programme. Detailed module descriptions are available at the following link. It allows you to select and explore individual modules:

https://sci-intern.hm.edu/fk/fachthemen2.php?studgang=psb&lang=de

The numbers below each module name indicate the semester hours per week (SWS; one SWS equals 45 minutes) split into lectures, exercises, and lab classes. The ECTS credit points are indicated at the top.

The first two semesters offer basic modules in physics, mathematics, chemistry, computer science, and electrical engineering. The modules are very similar to those offered in the German-language programme "Technische Physik", so that interested students can switch courses if desired.

The third and fourth semesters offer the specialisation subjects of the study programme. These are modules in applied physics, data science, machine learning, and engineering.

The fifth semester includes an internship. Students apply for sponsored internships at companies or research institutes.

The elective modules in the sixth and seventh semesters provide a high degree of flexibility and enable you to tailor studies to your main area of interest: micro- and nanotechnology, photonics and acoustics, or renewable energies. There are also general and multidisciplinary elective modules.

The programme concludes with a Bachelor's thesis, which is typically written in companies or research institutes.

Mandatory internship in the fifth semester

The prerequisite is a university entrance qualification recognised in Bavaria.

Student union fee: 97 EUR

Tuition fees for non-EU students (approx. 500 EUR per semester) are being discussed and might apply soon. 

https://hm.edu/en/your_stay_at_hm/students/fulltime/living.en.html

Munich is a large city with a dynamic job market for all kinds of jobs.

Finding accommodation in Munich might not be easy.

If you need help finding a room or flat, you will find some helpful links on this page: (https://www.hm.edu/en/your_stay_at_hm/students/fulltime/living.en.html).

Beyond that, we recommend that you do your own research. Unfortunately, the HM does not provide accommodation for students.