I am a third-year student and about to apply for 2019 fall Grad School.
Undergrad Institution: McMaster University (Canada)
Major(s): BSc honor in Financial Mathematics & Actuarial Science (Under Maths&Stats Department)
GPA: 3.68/4.0 (Math&Stats GPA: 3.9)
Expected GPA when applying: 3.75/4.0
'Expected' GRE General Test (I have not decided to apply for US Grad, but I am preparing it) :
Q: 167-170
V: 155-160
W: 4.0-5.0
Math:
Linear Algebra I A+
Linear Algebra II B-
Intro to Math Reasoning A+
Intro: Math Sci Computation A+
Calculus I, II, III A+
Intro to Mathematical Finance A+
Intro to Differential Equatns A+
Numbers for life A+
Mathematical Finance A+
Stats:
Intro to Prob A-
Stats MethodApplication A+
App.Regression Analysis with SAS A+
Mathematical Statistics I A+
Actuarial Math I A+
Actuarial Math I A+
Time Series A+
Programming skill: Python/SAS/R Courses all A+
Reference Letter: Got one very strong reference letter from a 60 H-index professor.
Work experience: Currently work part-timely as a teaching instructor in an off-campus Institution.
Awards: Dean's list
Applying to:
MS:
Harvard(Data Science)
NYU(Data Science)
Stanford University(dream school)(Data Science)
McGill University(Data Science)
University of Toronto(Data Science)
Northwestern(Data Science)
Columbia University(Data Science)
University of Waterloo
CMU
UCB(Statistics)
Concerns:
1. Low GRE Verbal scores
2. I still have a half year to strengthen myself, is it important to start a research about Stats?
3. My fresh year GPA is hell low, under(3.5)
4. Canadian Universities have an average GPA around 2.7 to 3.0, which is pretty lower than US's undergraduates.
I know my targets are pretty difficult for me to reach, but I still have time to prepare. If anyone could give me some advice about my profile, I will appreciate a lot.
Thanks a ton in advance to anyone who responds
