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2019 Statistics Masters Applicant Profile Evaluation


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Hello, I am new to this website but hope someone will be able to help out. I'm looking to apply to masters programs in statistics in a couple years after some work experience and will be graduating next year. 

Undergrad institution: Mid tier, large public state school (top 75 in US News)
Majors: Business Analytics, Mathematics
Year: Senior, graduating in May 2019
GPA: 4.0/4.0
Programs Interested In: MS in Statistics
Type of Student: Asian American Male

Relevant Courses: 
Math - Multivariable Calculus, Introductory Linear Algebra, Theory of Probability, Linear Optimization, Differential Equations, Fourier Series + Boundary Value Problems (with some PDEs), Math Reasoning (proof writing). I placed out of Calc I and II by taking AP Calculus BC. 
Business Analytics - Risk Modeling, Statistical Methods (second semester statistics course), Data Management, Decision Analytics under Uncertainty, Operations Management
Taking this year: Math - Linear Algebra, Real Analysis I, Theory of Statistics; Business Analytics - Time Series Modeling, Investment Modeling (both classes use R)

GRE: Will take next year

Recommendation Letters: Aiming for 3 letters from professors who I have taken several classes with and/or been a TA/grader for. Two are math professors and one is a business analytics professor.

Academic Experience: TA for Operations Management (an optimization methods course for business students), Grader for Intro Linear Algebra
Professional Experience: Data analysis intern at small tech company, data science intern at Fortune 100 company
Coding Experience: R, SQL, Python

Schools interested in: 
UCLA
Texas A&M
UNC
NC State 
CMU

Concerns:
-Few proof intensive courses (will change next year with Linear Algebra and Real Analysis, but still might not be enough)
-Math is not my first major. I added it recently after liking the other classes I've taken. 
-Business Analytics major might be hard to explain. I have taken various classes (listed above) heavily using probability, statistics, and optimization within the business school, though.

I would really appreciate any comments/advice on my profile and how competitive I would be for the schools I listed. Thank you in advance.

Edited by radicalace1
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I'm definitely not qualified to judge you, but I'll go ahead and chime in so that someone in the field gets annoyed enough to respond and give you an actual evaluation:

If you're applying to a Master's with two linear algebra courses (not sure what to make of Intro Linear Algebra, but I'll assume for now that it's a standard linear algebra class and your forthcoming Linear Algebra class is more advanced), Real Analysis, a putative 4.0 GPA and a Math major's worth of proofs background, then I'd hazard a guess that you could stand a reasonable chance of admission for most any Master's program, including those you listed, provided the work experience you're getting post-baccalaureate is statistics-related (which, given your internships, I'd assume so).  I'm not sure how Master's admissions committees view research experience, but your lack of that seems to be your only outright weakness, and job experience can certainly help allay such worries, even if it doesn't wholly dispel them.

As for your listed concerns, just get A's in Linear Algebra and Real Analysis, and if you're concerned take an extra proofs-based class, but I think that you would be fine regardless.  I doubt any department cares whether or not Math was your first major, and you can just explain Business Analytics briefly in your personal statement, or course-by-course as (maybe?) an addendum to your CV.  I would ask if one of your internship advisers/superiors, or preferably your future boss (even better if they're the same person), could write a recommendation for you -- three letters from Professors, none of which you've done research with, seems a bit monotone to my untrained eye, and you'd probably want to sell your communication skills and business experience so as to make yourself appear more fleshed-out as an applicant.

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