Profile Evaluation - MS Statistics or Computer Science

[nakols]

Hi Everyone!

I was wondering if I could get some advice on what tiers of schools I should apply for? I am going to apply for an MS in stats OR CS (Fall 2021).

Demographics: Eastern European

Undergrad: McGill

    Major: Joint Honours Mathematics and Economics

    GPA: 3.72 overall, Math major GPA: 3.73, Econ major GPA: 3.65

    Coursework:

MATH:

Calc 3, Advanced (A,A), Honours Algebra 1, 2, 3, 4 (A,A-,A,B-), Honours Analysis 1,2 (A,A-), Honours ODEs (A),  Honours Probability (A-), Honours Nonlinear Dynamics (A), Honours PDEs (B), Honours Statistics (A-).

ECON:

Honours Econometrics I (A-), Honours Econometrics II (A-) and other Macro/Micro classes

CS:

Only took one Foundation of Programming class but currently I work in data science.

Professional Experience: Working at a top tier consulting firm as an analyst/junior data scientist, mainly doing NLP and participating in building/deploying web apps on Azure/AWS. Doing a lot data cleaning and engineering. This mainly the reason I started considering CS or Applied Computing masters. 

Letters: I can get a very strong letter from a Senior Data Scientist colleague or form a DS Partner in the firm. Unfortunately, I did not do undergrad research but still can get good recommendation letters from my professors.

GRE: Current GRE results V:155 Q:163. Planning to retake it.

I am wondering what tiers of schools would be best to apply for? Which schools should I aim for and which should I keep as a plan B? I am mainly look for schools in the US and UK. Thank you very much for your help!

 

Edited July 2, 2020 by nakols

[StatsG0d]

I would say you could get into most if not all MS stats programs. I wouldn't retake the GRE unless you're thinking of going PhD.