garmungo

If you could be accepted off Chicago's waiting list your choice would be clear. Just so you know Chicago's program is very theoretical and most of their masters students continue on to PhD after graduation. 
 
As far as my cousin knows, in his class two students (computer science undergrads) found consulting jobs at start-ups. He knows one student (math undergrad) continued to PhD at Minnesota. A few international students chose to do another masters just like my cousin due to being unable to find employment. 
 
If you like computational stats then I would say go for UCLA. If you like biostats, JHU no doubt. I don't know much about JHU's program but its stats dept. seems to be very reputable. There are definitely more jobs for statisticians in the east coast. Another thing you might want to consider is the cost. My cousin paid a scary number (at least for me lol) for his entire two-year UCLA life. If money is not an issue you will have a good time in UCLA for sure.
 
Good luck! 

I would definitely go for U. Michigan if I were not accepted by U. Chicago. Ranking in stats area, job placement, preparation for PhD, TA-opportunity, cost of living, Michigan beats UCLA in all of them. Of course, it would nice to live in Cali with sunshine all year long and LA is a paradise  
 
I am not trying to say it would be a terrible mistake to choose Michigan over UCLA. It depends on what u want after masters. My cousin (international student with US undergrad degree) actually graduated from UCLA's stats masters program last Aug.and his experience was that masters students do not get much or none attention from Profs or the dept. And it's quite a small dept with heavy focus on computational statistics if that interests you. He is now doing another masters in fin. math at NYU simply b/c he cannot land a job after graduation. He told me he regrets a lot for the tuition and high cost of living paid for 2 years' UCLA life lol.
 
Hope that helps.