somethingofascientstmyself

Hi everyone, Any insights on the MS in Data Science at University of San Francisco? I see a few people in this thread applied. I applied to NYU, Columbia, Brown and UPenn and was rejected from all unfortunately but made it into USF. Would you guys recommend the program? The curriculum and career placement seems strong but it doesn't have the name brand factor. Are there other programs somewhere between USF and Columbia/NYU etc. that I should try to apply to for next year instead based on my profile below? Profile: CGPA: 3.4 in Industrial Engineering from top 3 Canadian school (poor first year GPA, 3.6+ from 2nd year onwards) GRE Q/V/A: 169/160/4.5 Work experience - 1 year business intelligence analyst, 2 years business analyst, 2 years senior data analyst using Python for operations research and other data analysis projects. Lots of work using pandas, numpy and dataviz libraries in Python. Some small ML projects at work, lots of online course work and self learning. Weak points: CGPA kinda low, No research experience. nothing special in SOP - just about my interest and passion in the field but I imagine many people wrote something similar. Thank you!