Hi,
I am currently preparing my application for master's ( and Phd ) degree in Biostatistics. I am wondering if my background is good enough to apply for a few top ten programs. Also which are safe/ambitious for MS/ Phd.
Undergrad/grad Institution: One of the old IITs Major: BS MS (dual degree) Mathematics and Scientific computing GPA: 3.8/4.0 (MS), 3.2 ( BS )
Type of Student: Asian Male
Relevant Courses:
Except for C in Probability & Statistics, all A, A* or B in:
Probability & Statistics, Applied Stochastic Process, Time Series Analysis, Regression Analysis, Non-Linear Regression, Inference-I, Mathematical modelling, Numerical computation, Theory of Computation, Ordinary/Partial Differential Equations, Complex Analysis, bioinformatics and computational biology
Data Structures & Algorithms, Probabilistic Machine Learning, Natural Language Processing, Financial Engineering
GRE:
V152 Q170 W3.5
TOEFL: Awaiting score
Research Experience: Did an intern at IISc Bangalore, related to Markov Chains ( after my 2nd yr, so not much significant );
Will be starting my MS project on biostats this semester
Recommendation: All from home school (1 strong, 2 moderate)
Awards/Honors:
KVPY fellowship awardee
School of Interests:
Johns Hopkins
UMich
Wisconsin Madison
Columbia
Yale
Brown
Boston University
UNC
Georgetown
University of Minnesota, Twin Cities
University of Pittsburgh
UBC and SFU (joint)
Waterloo
UToronto
McGill
Thanks for your help!