Hey everyone, I plan to apply for a Statistics/ Data Science masters (preference for Statistics) with a background in Economics. Would love to hear my chances at each listed institution to better understand if I am being realistic!
Undergraduate Institution is University College London (UCL)
Major is Economics (Bachelor of Science)
GPA is 3.70+ (yet to graduate)
Type of Student White Male (UK)
GRE has not been taken yet, but I test well and believe I could get 168/166 (Q/V) and a strong result in the writing section
Research Experience is none currently, but am working on this
Work Experience is again, limited. Nothing much has happened since COVID but I have worked as a Venture Capital Director for our universities largest student society (approx 6,000 members across the university) and looking for a TA role. Have also been approached to help on a project for a FinTech startup which will be rooted in Econometrics and Statistics.
Letters of Recommendation strength will depend on research experience, but will get two strong letters from Econometrics and Microeconomics classes
My greatest fears are my transcript being weak, despite my overall performance being good. Furthermore, I am unsure whether my background has covered enough content in Statistics to be competitive.
Schools
MS, Statistics, Stanford
MS, Statistics, Oxford
MS, Data Science, Harvard
MA, Statistics, Berkeley
MS, Statistics, Yale
+ other schools, the above ones are my main focus (especially top two) so suggestions are very welcome!
Am I being unrealistic, and what steps can I take between now and my application to be more competitive? Thank you!