Profile Evaluation: MS Statistics

[thegreatdentit]

Hi all! Like many others, I am seeking some guidance on my overall profile and would appreciate any feedback.

 

Undergrad: Nothing Great but reasonably known

Course of Study: Computational Math Major and Stats Minor

GPA & GRE: 4.0 GPA ; 162V 167Q 4.5AWA

Coursework: Single and Multivariable Calc, Linear Algebra, Probability Theory, Stat Inf, Intro Proofs, Scientific Computing, ODEs, Math Methods in Physics (Covers LARGE variety of topics), Complex Analysis, Number Theory, (May take Real Analysis or a Data Analysis class), Applied Dynamic Systems

Research: Nothing major just a senior thesis about RNG

Schools:

                Reach: Harvard (MS Data Science), Univ of Mich (MS Appl Stats), Stanford, Univ of                                        Wash (MS Stats)

                 Reasonable: UIUC (MS Stats), UCLA (MS Stats), Texas A&M (MS Stats)

If any other info would be helpful please feel free to let me know Thanks all

[Stat Assistant Professor]

You stand a good chance getting into a good Masters program. I think UIUC, UCLA, and TAMU sound perfectly reasonable.  

I would avoid any "Applied Statistics" MS programs. I think it is better (for both industry and possible preparation for future PhD programs, if you're contemplating that) to make sure you attend an MS program that requires a year-long sequence in mathematical statistics (usually based on Casella & Berger) and a class on Theory of Linear Models.

[thegreatdentit]

Thanks so much! Honestly, Univ of Washington has been my top choice for that reason; they have a nice mix between theory and applications + their proximity to big companies doesn't hurt either.