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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

 

Edited by DAVE F

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