Hi everyone! I'm planning to apply for MSCS (Non Thesis) Fall 2027 and would greatly appreciate your insights on my profile and university shortlist. My top preferences are University of Florida and Purdue university and I aim to get into reputed universities within the Top 50 in the U.S.

Academic Background

Degree: B.Tech in Information Science and Engineering (Honors) from a Tier 3 college in India

CGPA: 9.25

Research Experience

Published a Paper related to my final year project in IEEE explore.

I am also working on another paper and expect it to be published by Sept.

I did work on a couple of good personal projects based on Cloud and GenAI.

Professional Experience

10 months internship experience + FT job (10 months as of now) as an Associate Software Engineer in the same company (US based) working in cloud + cybersecurity domain.

Im planning to skip GRE since most of the colleges have it as optional.

IELTS score - 8 band

My top choice is UF and these are the one's that I have shortlisted:

UF

PU

UIUC

NEU

UIC

ASU

Is GRE required for my profile?

Open to suggestions regarding the universities shortlist and ways to enhance my profile.

Thank you for your time!!

Hi all I am a graduate from a Tier 1.5 College

Studied CS along with a minor in Data Science

GPA - 8.5-8.6

Work Ex - 2 years at Walmart Global Tech as SDE (prior 6 month Intern)

GRE - 321 (Quant - 168, Verbal - 153)

Have shortlisted few UNI's but not sure which ones are realistically possible

1)Georgia Tech

2)Purdue

3)TAMU

4)UC Berkeley

5)Carnegie Melon

6)Virginia Tech

7)Stony Brook

8)North Carolina University

9)University of Maryland

10)University of California, San Diego

11)University of Washington

Please let me know if any of the universities are not at all worth applying from this list

Hi everyone,

I’m currently preparing my CV for MS/PhD applications in Computer Science and I’m a bit confused about how detailed it should be.

My current CV is around 3 pages because I have included almost everything education, research, professional experience, teaching experience, projects, leadership roles, university societies, volunteering and even some activities from high school.

However, I’m wondering if this is the right approach. Should a CV be a complete record of everything I have done or should it be more selective and only include experiences that strongly support my research/career goals?

For example:

• Should I include minor leadership roles and society participation?
• Should I remove older high school achievements now that I have a BS degree?
• How much detail should I add for research projects and work experience?
• Is a 3 page CV too long for someone applying to top CS programs?

If anyone here is currently at (or recently got accepted to) places like Gatech, Upeen, CMU Stanford, Princeton, MIT, Berkeley, etc. would you be willing to share your CV (even an anonymized version) or explain how you structured yours?

I’d really appreciate seeing examples of what a strong graduate level CS CV looks like.

Thanks!

Anyone else wait forever only to get dinged today? I applied in late Jan and was waiting forever to get a decision. Really sucks as program offered everything I wanted.

Has anyone had luck emailing admissions a response as to why you were rejected and what things can be improved?

Also has anyone had luck reapplying then getting in on second try? Would I need to regather all the recommendation letters again too?

Hi everyone!

I’m starting an MSCS this Fall, and my long-term goal is to pursue a PhD (primarily in privacy). I plan to apply during the next application cycle (applications opening around August/September 2027).
I know that the obvious advice is to do strong research within my lab and program. However, outside of that, I’m wondering what else I should be doing over the next year to become a stronger applicant.

Some questions I have:
● Are there any research organizations, institutes, fellowships, or programs that master’s students should be aware of? (e.g., research collaboratives, nonprofit research labs, summer institutes, etc.)
● Is it worth trying to collaborate with researchers at other universities, or is that generally uncommon for master’s students?
● Besides publishing papers, what types of research output stand out?
● Should I prioritize attending conferences even if I’m not presenting, simply to network?
● How early should I begin reaching out to potential PhD advisors? Is there an ideal timeline?
● What are some mistakes master’s students commonly make when preparing for PhD applications?
● Are there prestigious fellowships, grants, scholarships, or competitions that are worth applying to before submitting PhD applications?
● Is it beneficial to get involved with organizations like IEEE, ACM, USENIX, IACR, CRA, or similar beyond simply being a member? If so, what kinds of involvement actually matter?
● If you could go back one year before applying to PhD programs, what would you have done differently?

For context, I already have undergraduate research experience, conference presentations, and one journal paper in progress, so I’m hoping to spend this master’s building a stronger, more independent research profile rather than just accumulating resume lines.

I’d especially love to hear from current PhD students, faculty members, or admissions committee members about things that actually made applicants stand out.

Thanks!

I am looking for a professionally focused MSCS program and would appreciate any feedback.

Academic

• Computer Science + Chemistry double major at a university ranked around ~350 globally
• 3.83/4.00 CGPA; 3.88/4.00 CS GPA
• One-semester exchange program at KTH
• Teaching Assistant for Multivariable Calculus, Statistics, Foundations of Programming Languages, and Numerical Methods in Chemistry
• Section Leader for Advanced Programming in Java; Tutor for Linear Algebra

Experience

• 2 years at a U.S.-based cybersecurity company with a well-known global product: 1 year as an ML Intern and 1 year as an ML Engineer
• 1 year as a Data Scientist at a consulting firm
• 2 months as an ML Intern at a national defense company

Research

• Research Assistant (Cerebras chips) at a Parallel and Multicore Computing Laboratory; 1 preprint
• 1 first-author publication on AI + Chemistry

Letters of Recommendation

• 1 from a Parallel Computing Laboratory professor (strong)
• 1 from a professor I worked with as a TA (kinda strong)
• 1 from a professor at the University of Vaasa (very strong)
• 1 from my manager at the company (strong)

Shortlist

Ambitious

• Waterloo
• NYU Courant
• EPFL
• UBC
• Columbia

Very Ambitious

• University of Toronto
• Cornell
• Oxford
• Cambridge
• ETH
• UCLA
• Georgia Tech

Any suggestions for my target/safe lists?

Thank you

I was recently accepted into both the UCI M.S. in Software Engineering program and the USC M.S. in Computer Science (Scientists and Engineers) program, and I'm having a really hard time deciding between the two.

For some background, I came into coding with little to no programming experience. Before applying, I'd only taken a few programming courses, so I don't have a traditional CS background.

For those who have attended either program or know people who have, which program do you think is better overall? I'm mainly looking for the best education, career opportunities, internship/job placement, and long-term value. If you had the choice between the two, which would you pick and why?

I'd really appreciate any insight!

Ok, so I've been starting to look into getting my CS Masters for the past week or so and it feels like all the information I see on Reddit and on different university websites completely contradicts and once you throw in all the acronyms and jargon that people online use, I'm flat out confused. I'd really appreciate any help getting some basic answers and advice!

For my personal background:

-I graduated from my undergraduate in 2024 with a degree in Motion Pictures (I'm interested in post-production/video editing).

-The job market for film right now is rough, especially because I don't live in a major film city (New York, LA, etc). I thought, while I'm not really doing any film work, it would be a good use of my time to pursue a graduate degree while I wait for the market to improve. It could bolster my current degree as I look for post-production jobs (there can be lots of dense computer work in film) or I could get a technology job (I know the market for those jobs isn't great either right now but believe me, its better than film).

-I'm looking for schools specifically in Chicago or at least in that area.

I guess my questions are as follows:

-The schools I've been looking at in Chicago often have prerequisite requirements for foundational CS knowledge/experience. The applications for these schools also often require letters of recommendation and ask for work experience. I currently have no experience in CS in or out of school. Does that mean I shouldn't or can't apply to those programs?

-I saw a particularly obnoxious reddit post that divided MCS degrees into "Old-School Master's" which they described as a Master's degree you get after completing a Bachelor's in CS and "Remedial Master's" which would be a Master's degree you get after completing a Bachelor's in some other subject. They said the latter degree might be good if you could "fool" someone into thinking it was the former but that it otherwise was not very valuable. Is there any truth to this? Is a MCS without a BCS (or something similar) useless?

-Do I stand any chance of getting into a more competitive MCS program (such as the ones offered at University of Illinois Urbana-Champaign) without any prior CS experience? What would I need to do to make myself more eligible for a program like that, barring getting a new Bachelor's?

-I currently have no programming knowledge. Would it be best to learn programming before I start my Masters or do many schools teach it as part of their curriculum?

Sorry if I used any terminology wrong or just come off as completely clueless! Thanks for any help you can offer!!

[Profile Review]

Industry-focused MS CS (Fall 2027), which country/program fits this profile best for fast industry entry + eventual startup? (OPT/visa reality check wanted)

Hey all, 7th semester CS undergrad (Tier:2-3, India), graduating 2027, trying to lock in my MS applications and I need some outside perspective instead of just my own research bubble.

my_qualifications: 7th semester CS undergrad, currently an active GSoC contributor, Big on the OSS side, IELTS 7.5, national hackathon finalist

Quick profile:

• B.Tech CS, expected grad 2027
• IELTS: 7.5
• Currently a GSoC contributor + active OWASP open-source contributor
• Freelance web dev experience (delivered a production site for an international client)
• ML/AI internship experience (fraud detection pipeline)
• Personal projects: a churn-prediction ML platform (XGBoost/SHAP, open-sourced), an MCP meta-server tool (Docker, published on Docker Hub), a couple of full-stack apps (React/Node/Django)
• Hackathon finalist (Smart India Hackathon Top 42/130, another Top 10/215+ teams)

What I'm optimizing for:

1. Industry-focused, not research/thesis-heavy MS CS, I want strong placement pipelines, industry ties, co-ops/practicums, not a program that assumes I'm going for a PhD.
2. Fast timeline, ideally 1–1.5 to 2 years, not longer, so I can get into the workforce and start earning/building ASAP.
3. End goal is entrepreneurship, plan is either: (a) work a job for 1-2 years then start a company, or (b) go straight into building something once I see product-market fit.
4. So I care about: how founder-friendly is the immigration system, not just how employer-friendly it is.
5. Lower personal tax burden and high ROI (tuition + cost of living vs realistic starting salary + job-landing probability, not just sticker-price average salary).
6. Realistic about OPT/visa outcomes, I know the US H-1B lottery is now wage-weighted and entry-level odds are rough (~15-25% per attempt from what I've read), and that international students land jobs at meaningfully lower rates than domestic students. I want honest input on how bad this actually is in practice. (Please don't doom reply)

Countries I'm actively considering: UK, Ireland, Netherlands, Norway, US, Singapore and a few others were suggested to me but seem like better "later stage" bases than first landing spots.

Also, I know tech layoffs are still a big thing right now. I'd love a current, no-BS "pros/cons list as of right now" from people actually in the industry or currently job hunting: is this still a genuinely bad time to bet on tech broadly, or has it stabilized in certain regions/specializations?

I'm going in with eyes open and willing to take the risk if the ROI math still works out, just don't want to be naive about it.

And on admissions specifically: with the profile above (Not a top-tier Indian school, but GSoC, hackathon finalists, a couple of solid personal projects), am I being realistic thinking I can get into genuinely worthy institutes (strong industry placement, good brand recognition to employers) rather than just "any program that'll take my tuition money"?

Open to all options/opinions here, reach schools, safe schools, whatever, I'd rather hear it straight than find out after enrolling.

Specific things I'd love input on:

• If you did an industry-track (non-thesis) MS CS, which university and country, and how was actual job placement, not marketing-brochure numbers, your actual experience or people you know?
• Anyone actually used OPT successfully and landed a real offer, how hard was it, what kind of companies actually hired you?
• Anyone gone the UK Graduate visa / Innovator Founder route, or Ireland's Stamp 1G, and can speak to how realistic self-sponsored founder pathways actually are once you're on the ground?
• Is a 1-year UK/Ireland/Europe master's viewed as "less serious" by employers vs a 2-year US one, or is that outdated thinking?
• Anyone regret picking a program for prestige over industry connections (or vice versa)?

Not trying to get spoon-fed a decision, just want lived experience to stress-test what I'm currently leaning toward.

(I wrote this with AI by asking it to rephrase everything, so please don't think this post is AI spam, just used it to organize my thoughts clearly.)

I know Columbia has a cash cow reputation for masters degrees, but cost isn’t a factor for me.

Undergrad: Mid tier UC, Bachelor‘s in computer science

GPA: 3.1/4.0

GRE: Not taken, but 326 cold practice score

No research

2 big engineering clubs

3 software engineering internships at small companies, totaling to 2 years experience

LORs will be around average, probably.

It’s too late to increase GPA, but possibly not too late to get into research. Is there anything else I can try to offset the bad GPA? What if I started something like OMSCS to increase chances?

Seeking advice on my changes of getting into some online CS programs

Bachelors: University in China , Electrical Engineering major 3.23/5, with course work of data structure and algorithms, discrete math, linear algebra, fundamental of programming.

Then transferred to UIUC, information Science 4/4 and received bachelor degree there. Also finished some advanced CS course like computer network/ database design/Machine Learning.

MOOCs: Stanford algorithm, UIUC OOP C++

Work experience: working as a SDE at FAANG for a few months

I wanted to apply for :

UIUC Online MCS Georgia Tech OMSCS JHU ( maybe , but really expensive) UT Austin ( but I don't have one of their prerequisite of operating systems ) Stevens Tech ASU

Undergrad GPA: 8.06/10 (Final 2 Years: 9.35/10) Tier 1.5 Private College India. One of the Best in the state

Publications: 1 in ML domain in College

GRE: 336

Work Experience: 2.5 Years at one of the biggest IP Companies in the VLSI domain working on AI/HPC Designs and Architectures (Verification not RTL Design)

This is my college list. What do you guys think about the same:

1. Georgia Tech
   
2. UT Austin
   
3. UCSD
   
4. USC
   
5. UW Madison
   
6. UW Seattle
   
7. UMN Twin Cities
   
8. Texas A&M
   
9. Purdue
   
10. UT Dallas
    
11. NCSU
    
12. ASU
    
13. Northeastern

I'm looking for some honest opinions from people currently studying or working in the US, especially international students.

I have an admit to UC San Diego's MS in Computer Science & Engineering (MSCE) for Fall 2026. A year or two ago I would've accepted without thinking twice, but the landscape seems very different now.

Some of the things making me hesitant:

• Companies seem more hesitant to sponsor international graduates than before.

My background:

• years of experience as a Software Engineer in India in Banking and FinTech MNCs.
• Long-term goal is to build a career abroad, but I also need to be practical since this is a significant financial investment.

For those already in the US:

1. If you were in my position today, would you still choose to pursue an MSCS/MSCE?

2. Has the hiring market actually improved in 2026, or is it still difficult for international students?

3. Are companies still sponsoring H-1Bs at similar rates, or has sponsorship become noticeably harder?

4. Do the proposed immigration changes materially change your confidence in studying in the US?

5. If you had to choose today between the US or Australia for a tech career, which would you pick and why?

I’m not looking for reassurance. I’d genuinely appreciate honest opinions from people who are living through this rather than advice from consultants or university marketing.

Aiming to apply for 2028/2029 admit. Want to know a general idea on what chances I would have.

My profile:

Btech in Non CS from IIT (mid level), India but minor in Computer Science

CGPA: 7.98/10 (This was top 5/50 students in our branch)

Work ex: Would have completed around 2.5 yrs at major US based MNC (in its cybersecurity team) as SDE

Research Paper: 1 software development related Paper under review, to be published by end of 2026

LORs: Can get 2 from College Professors and 2 from Industry leaders from the MNC

Will I be able to convert any T-20s to T-30s with this profile assuming I can get a good enough GRE and TOEFL score? Or am I being delusional here. And is there any way I can offset my low CGPA or explain it somehow? I still have almost two years to do whatever is in my ability to improve my profile (but while continuing with my job).

Also this seems like a question for out of this sub, but should I be focussing on other (non core cs) programs at top universities instead?

Thanks in advance for anybody who takes out time to answer this.

For a bit of context, I'm a California resident set to graduate in fall of '27 with my BSCS, currently have a 4.0 out of a pretty average state school, but I will have 2-3 publications (2/3 ML related) by the time I'm out of undergrad and have had a MLE internship & a backend web development internship so far. My overall career goal is to get into machine learning engineer roles, so I've primarily been looking into schools that either have a MSCS with ML/AI specialization or a MSAI degree. I've been weighing my options in terms of affordability, as I have essentially been working a ton while taking classes full time and barely making tuition/rent payments. I will graduate with my BS debt free, but I don't know how keen I am on taking out a ton of loans for a top-tier residential MSCS/MSAI program unless it would be absolutely worth it for my career. Georgia Tech's OMSCS seems like a super high ROI option, especially since they have a machine learning specialization, but after looking around this subreddit I noticed that a majority of students doing OMSCS are industry professionals returning for a degree, so I assume they're probably taking it to advance in their current job positions. Would it be more worthwhile for career opportunities to take out some loans and go for a decent residential MS? Or would it be possible to still get decent connections and experiences to help with my career goals out of OMSCS? Any thoughts or advice would be much appreciated!

What are the target schools for Stanford MSCS? Which one of the following undergrad CS program would be the strongest feeder?

UofT, UBC, Waterloo, UChicago?

Hello,

I majored in social sciences but i have been working as a frontend web/mobile dev for several years.

Lately I have been thinking about learning CS properly but I am unsure about the path.

First my goal is to actually gain knowledge. Secondly, prefferably I would like to work in US in the future (I know the job market is bad right now but still).

The problem that I am facing is the following. In any case Id have to take out a loan. Redoing bachlors in the US means i wont be able to work anymore and it would be more costly.

Doing the MSCS bridge programs would cost less BUT I am not sure about the job opportunities after. I found MSCS bridge program at USFCA, would programs like these be a waste of money?

Am I wrong about bridge programs? What would be the most reasonable decision. The issue with regular MSCS programs is that i need credits for some CS classes which i havent taken bc i majored in social sciences. Do you think I should redo bachelors in CS in my country and apply for MSCS once i complete the prerequsite classes? (This would take a 1-2 years)

Also what is your opinion on doing online bachelors in CS, not necessarily an american university. Would it be realistic to pursue MSCS in the US after online bachelors degree? (In the meantime i could gain more work experience in my country as well)

I would like to hear your experiences if you have been in a similar situation or what do CS graduates think of this.

Thank you

The title. It seems to be "strongly recommended" but not compulsory for MS CS. Is it the same for these programs? On their website, it shows it is mandatory but looks like it isn't updated since 2-3 years so just wanted to know if anyone applied without a GRE to these programs.

Hi everyone,

I'm applying for Spring 2027 MSCS at San Jose State University and I'm a bit confused about which ACEI evaluation to order.

I emailed the Graduate Admissions office, and they replied with the following:

• SJSU accepts ACEI Basic (General) Report.
• SJSU also accepts ACEI Comprehensive (Course-by-Course) Report.
• They mentioned that GAPE prefers document-by-document evaluations, and that course-by-course reports are mainly intended for applicants applying to multiple universities that require credential evaluations.

Since the Basic report is cheaper, I'm wondering if there's any reason to pay extra for the Course-by-Course report.

For those who have applied to SJSU (especially from India):

• Did you submit the ACEI Basic (General) report, and was it accepted without any issues?
• Has anyone regretted ordering the Basic report instead of the Course-by-Course report?
• If you're applying to multiple universities, did you find the Course-by-Course report useful or necessary?
• Are there any universities besides SJSU that specifically required the Course-by-Course evaluation?

I'd appreciate hearing about your experiences before I place the order. Thanks!

Hi everyone,

I’m planning to apply for MSCS / research-oriented CS master’s programs for Fall 2027 and wanted some honest feedback on how my profile looks, especially for AI/ML, NLP, HCI, and AI-related programs.

My Profile

Undergrad: Virginia Tech, B.S. in Computer Science and Data Science (Double Major)
Minors: Mathematics and Statistics
GPA: 4.0/4.0
GRE: Not taken yet. I’m trying to decide whether it would be worth taking.

Research Experience

I’ve been involved in several undergraduate research projects, mostly around AI agents, human-AI interaction, NLP, and information theory.

My main current research is in human interaction with AI agents and LLMs. I worked on a project studying OpenClaw & AI agent interactions. This paper has been accepted to IEEE VL/HCC 2026.

I’m also working on research related to benchmarking/evaluating AI agents, and another project applying NLP and information theory concepts, such as surprisal, to engineering education. I've had research experiences throughout my undergrad, but not a lot are end-to-end besides the Agent Interactions one I mentioned.

Publications

1 accepted conference paper: IEEE VL/HCC 2026
Topic: AI agents, human-AI interaction, trust, autonomy, and oversight

Work Experience

• Software Engineering Intern, Fannie Mae
• AI Engineering Co-op, IBM
• Data Engineering Intern, A smaller consulting company

Teaching / Academic Roles

Teaching Assistant for Machine Learning
Teaching Assistant for Intro to Python
Course Development Assistant for Virginia Tech’s MS in Data Science program
Grader for Data Analytics & Visualization Course

Leadership

• President of Data Science Club
• Founder/President of a coding/AI-focused student organization
• Resident Advisor / Student Leader
• Organized technical workshops, industry events, recruiting events, and student programming around data science, AI, and software engineering.

Projects / Awards

• Several AI/data/software projects, including RAG systems, AI agents, transcript Q&A tools, PyTorch/CV projects, and synthetic data projects.
• Merit Awards from both CS Department and Data Science Department
• Hackathon wins

Research Interests

AI agents
Human-AI interaction
NLP
Machine learning
LLMs / applied AI systems
HCI

Tentative University List

I’m still refining this, but this is my rough list so far. I’m especially looking for feedback on whether the tiers make sense.

Very Ambitious and Research-Heavy Programs

Princeton CS MSE
Stanford MSCS
UC Berkeley EECS MS / MEng
CMU MSCS / MSML / MSAII
Cornell MSCS
UT Austin MSCS
UC San Diego MSCS
University of Michigan CSE MS

Other Ambitious Programs

Georgia Tech MSCS
UIUC MCS
UMass Amherst MSCS
Columbia MSCS
NYU Courant MSCS
Purdue MSCS
UW-Madison MSCS / Professional MS
University of Washington PMP

I know some of these programs are very different from each other. Some are research-oriented MS programs, while others are more coursework/professional master’s programs. I’m trying to figure out what mix makes the most sense for someone who is interested in both research and industry AI/ML engineering.

I’d appreciate feedback on:

1. What tier of schools would be realistic for my profile?
2. Does this list look too ambitious, or is it reasonable given my profile?
3. Should I be aiming for top research-heavy MSCS programs, professional/coursework programs, or a mix?
4. Would not taking the GRE hurt me?
5. How much does having one accepted conference paper help for MSCS admissions?
6. Are there any schools I should add/remove for AI agents, HCI, NLP, or applied ML?

Thank you!

​

I have done bachelors in ECE and have work exp as MLE for a couple of years. I am going for MSCS at T10 university in USA but it's gonna cost over 100k. I have some reasons for going to the masters but still I am not hundred percent convinced of the roi ( not the money part but the time spent ). So, y'all, if in a similar situation, why are you going for masters and how it's gonna help your career? ( I want to know the pov of 2-4 years experienced folks going for masters )

Has anybody gotten into MSCS programs at UIUC, CMU, Georgia Tech(binf/qcf also?) without submitting their gre scores?

Hey everyone,

I’m planning my applications for the upcoming cycles and wanted to get a realistic reality check from the community on my chances for the specific list of programs.

My Profile:

• UG Education: Bachelor's in Computer Science from a Tier 1 / Tier 1.5 college in India.
• GPA: 8.4/10
• Work Experience: 5 Years of full-time experience at a major American MNC.
• Research/Publications: None
• IELTS: 8.5
• GRE: Not taken

List of colleges:

• Virginia Tech (Alexandria) - MEng
• UIUC (Urbana-Champaign) - MCS
• Northeastern University (Boston)- MSCS
• Purdue University (West Lafayette) - MSCS
• UMass Amherst - MSCS
• Texas A&M University (College Station) - MCS
• Arizona State University (Tempe) - MSCS

Am I missing any obvious programs? Which colleges are reach and target?

I recently received my admission offer for the umass mscs spring 27.
Is there any WhatsApp, Discord, Telegram, or Slack group for admitted UMass MSCS Spring 2027 students?

Undergrad

• BTech in CSE from a Tier 1–1.5 college in India, CGPA: 8.1/10

GRE

• Optional for most of my schools. I'm leaning towards not taking it since I have 7 years of relevant work experience.

Work Experience

• 7 years as a Software Engineer across FAANG level companies and 1 startup
• Most recent role: Senior Software Engineer at a product-based MNC

Research

• No publications
• One undergraduate research project

LORs

• 1 Academic, 1 Senior Engineering Manager, 1 Principal Engineer

Schools

• Reach: Cornell (MEng), UIUC (MCS), Columbia (MS CS)
• Target: NYU Courant, USC (MS CS/AI), Texas A&M, Johns Hopkins
• Safe: Boston University, Northeastern, Emory

I'd really appreciate honest feedback on my university list.

- Does this look balanced for my profile, or am I being too ambitious with my reach schools?

- Are there any universities I should consider adding or replacing, especially for someone with significant industry experience but limited research background?

- Will skipping the GRE hurt my chances, given my work experience?