Between Applied Data Science and Applied Computer Science at Göttingen, which offers better career prospects for a computer science graduate?
Applied Computer Science offers broader, more stable career prospects across software, cloud, and systems roles, while Applied Data Science offers a higher salary ceiling in a narrower, cyclical market. If you value flexibility and job security, choose Computer Science; choose Data Science only if you want a specific research niche.
Since you already have a computer science background, this choice really comes down to whether you want to stay a flexible generalist or move into a specialised niche. Both paths at Gottingen lead to solid outcomes, but they suit different risk appetites.
Career Prospects Compared
| Metric | Applied Computer Science | Applied Data Science |
|---|---|---|
| Market demand | Extremely high, broad | High but more cyclical |
| Role versatility | Software, cloud, systems, DevOps | Narrower, AI and analytics focused |
| Long term track | Software architect, tech lead | Research lead, data specialist |
Why Each Path Makes Sense
- Applied Computer Science keeps your options open across software development, cloud, and infrastructure roles in nearly any industry
- Applied Data Science leans into niche domains like medical data science and bioinformatics, useful if you want biotech or advanced AI research
- Entry level pure data science hiring is competitive, and employers often prefer engineers who later upskilled into data over fresh graduates
My Advice
If you are unsure which industry you want to enter, pick Applied Computer Science, since it keeps every door open while you figure that out. Choose Applied Data Science only if you already know you want a specific research heavy niche such as healthcare or sustainability, since that focus is what makes the degree pay off.
Will you actually get a job after your US master's?
Talk to a counsellor about real outcomes, salaries and which courses employers hire from.
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