CS Grad School: Trouble Deciding Where to Go

I'm having a bit of difficulty choosing where to attend grad school. I've been fortunate enough to be admitted to:

CMU MS in CS (unfunded)

UCSD PhD in CS (fully funded: ~$2.6k / month)

I originally applied to UCSD for their MS but after connecting with a professor there, was able to change my application to PhD and get in.

Pros for CMU:

1. Top school


2. Could get into PhD program > UCSD


3. Great job prospects if I just apply for jobs after MS

Cons for CMU:

1. If I apply to PhD might not get into program as good as UCSD


2. It's hard to do research as an MS student at CMU (there's no thesis option; coursework only)


3. I got sub-par fall grades which would show up if I apply for PhD (whereas if I went to UCSD, this would be a non-factor)


4. Stress of reapply to PhD, needing to get top grades, etc.


5. Unfunded

Pros for UCSD:

1. I really like the lab the professor I've talked to is in (does research in exactly what I'm interested in)


2. Wouldn't have to reapply for PhD


3. Could get started in research earlier (potentially)


4. Fully funded

Cons for UCSD:

1. Not as good if I just leave with MS

People have thoughts on this? Would love to get insight, especially from current professors / people who have experience evaluating candidates / making admissions decisions.

Thanks, Mariogs