Hi!
Please I need help trying to figure out if I have chances to get admitted to some MS CS Programs.
Here is my profile:
Research Focus; Machine learning (Deep learning, reinforcement learning, unsupervised learning)
Final Objective: PhD from a US university. Looking to work as a professor or a research scientist in industry after graduation.
Undergraduate: BS in EE from an ABET accredited university in South America (TOP 500 worldwide, best in my country)
Position in class: Class topper
Research experience: Small projects in signal processing, controls and VLSI. No publications.
Work experience: Unrelated to the field I intend applying to, I was a TA at my home university though (math, physics and EE courses).
Motivation: I got motivated by small exposure to AI from signal processing and controls graduate level courses that i took as a free student, and also from online MOOCs.
GRE (310): V149, Q161, AWA 3.5
TOEFL (100): R27,L27,W24,S22
My plan: Since I consider that my profile is not competitive enough for top/middle tier PhD programs, I am planning to apply to MS programs first and then jump to a more prestigious one after graduation.
Here is the list of universities I've come up with, which offer good coursework and research opportunities related to my interests.
1 CMU
2 Stanford
3 UT Austin
4 U Mass
5 NYU
6 Columbia
7 Purdue
8 UC Irvine
9 U Michigan
10 USC
11 Northeastern U
Please guys, be honest with me about which universities should I take off of my list and which ones should I add.
Thanks !