hopelesslyconfused

thanks everyone i am inclined towards ut austin finally am putting down some of my thots.. open for discussion for the help of juniors in similar dilemma 1. cmu lti masters - extremely expensive, hands down the best course bt too specefic, current US scenario not ideal for this mch loan 2. cornell meng - best course to get placements but not sure if cornell meng tag == cornell tag. dont knw wrth of the degree as compared to nrml ms from uta 3. ucla - no point after ut austin since uta is cheaper and better ranked and a bit mre reputed for cs 4. umcp - HARDEST DECISION for me. funded admit. very helpful advisor. still nt sure y im leaving this and gng fr ut austin (20-25 lacks hit) but mostly because of the higher ranked and better reputation of ms course at utaa

Hello, Please help me out with the final decision regarding Ms in Cs admissions. ( Data mining, Db all univs are good with respect to research work in my field) I have recieved admits from the following univs: Carnegie Mellon University, Masters LTI (Extremely expensive, good course, CMU reputation, no aid) University of Texas, Austin, Masters (Comparatively cheaper, Excellent University, no aid) University of Maryland, College Park (Fully Funded, slightly oriented toward DB not DM though not a big factor, job scene unknown) University of California, Los Angeles, Masters (California, Job Prospects, Pretty Expensive, no aid) Please help me out with the decision in terms of job prospects (do not wish to pursue PhD), reputation and financial constraint (BIG FACTOR) Thank you so much in advance. Hoping for your valuable suggestions and comments