Context: I’m an international student finishing a BSc in Computer Science & Artificial Intelligence at the University of Edinburgh. I want a practical, industry-focused master’s (not research/PhD-track) to deepen my skills and build a network that leads to strong job opportunities.
I study Japanese as a hobby, my speaking is decent, reading/writing still in progress and I’ll keep learning it regardless of where I study.
What I’m considering:
- Japan: University of Tokyo (Todai), Kyoto University (Kyodai)
- Singapore: NTU (and possibly NUS)
- Europe: e.g., TUM (Germany), ETH (Switzerland) (I’m not considering the US.)
Why Japan is on my list
- I enjoy the language/culture and think I’d enjoy studying there.
- Strong brand names (Kyoto/Tokyo).
Concerns about Japan (from my initial reading): programs seem more research-oriented, fewer applied/industry heavy options in English for my area, and the ROI might not justify the extra hurdles (language/admin, placement) for an industry path. For example: Kyoto’s relevant programs felt limited to a few tracks (see their admissions guide: [link]).
Question: For someone who wants an industry career in SWE/ML/NLP (not academia), is it worth the effort to target Todai/Kyodai? Or is it more practical to put that effort into Singapore (NTU/NUS) or top EU programs like TUM/ETH in terms of internships, placement, and post-study work?
Would love to hear from:
- People who did CS/AI master’s in Japan/Singapore/Europe aimed at industry (what were your internships, placements, work-visa experiences?).
- How “applied” the coursework actually was, and whether career services + recruiter presence were strong.
- If you could choose again for a non-research route, where would you go and why?
TL DR: CS/AI undergrad (UoE) seeking an applied master’s -> strong industry job. Japan is appealing but may be research-heavy/limited for internationals; is NTU/NUS or EU (TUM/ETH) a better ROI for industry?
by Impossible-Pin-7012