Lian109

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 !