r/cmu • u/Extra-Designer9333 • 4h ago
PhD in ML vs LTI vs CS: how different are they really?
Hey everyone!
I'm applying for Fall 2027 PhD at CMU. One thing I'm still trying to figure out is the difference between the three PhD programs: Machine Learning (MLD), Language and Information Technologies (LTI), and Computer Science (CSD).
My research is mostly around foundation models, RL/post-training, efficient fine-tuning, and LLM agents, so I've actually found professors whose work interests me in all three departments.
I know the obvious answer is to prioritize research fit with a potential advisor, and I completely agree with that. But I'm curious about a few other things:
- Competitiveness: Is there any meaningful difference in how selective these three programs are? I know they're all insanely competitive, but is MLD, for example, noticeably harder to get into than LTI or CSD?
- Career opportunities: Does graduating from one program versus another make any difference for research scientist positions in industry (frontier AI labs, etc.) or academic careers? Or is it basically all about your advisor and research output?
- Research flexibility: How easy is it to collaborate with or be advised by professors from other SCS departments once you're admitted? Are the program boundaries actually important in practice?
I'm considering applying to more than one of them, but the application fees add up, so I'm trying to figure out whether that's worth doing.
Would especially love to hear from current PhD students, alumni, or anyone familiar with these programs.
Thanks!