Should I focus on getting into the number one Data Science university in Germany?
You usually do not need to chase the number one Data Science university in Germany. Public universities there are often seen as being at a similar level, and employers tend to look at your skills and German language. Admission to well-known names can be very difficult, so compare cities too.
You usually do not need to chase the number one Data Science university in Germany. Names like TUM and LMU Munich appear at the top of searches, but Germany works differently from systems where the college name is everything.
Why Rank Matters Less
| Factor | What to consider |
|---|---|
| University rank | Public universities such as RWTH Aachen, TU Berlin and Mannheim are often seen as having a similar degree value |
| Admission difficulty | Admission to TUM is very difficult and the rejection rate is high |
| City | Berlin is described as a hub for startups and job opportunities |
| Tuition | Most public colleges have no tuition fees, but check each one |
What to Focus On Instead
- Your coding skills and practical experience
- Your German language ability
- The city that suits your goals and budget
My Advice
Shortlist a mix of universities across cities instead of betting on one name. Build projects and practical experience, and learn German, since employers tend to check these more than rank.
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