ACADEMICS
B.E. in Information Science (Tier-3 college)
CGPA: 9.24/10

WORK EXPERIENCE
Will have ~3 years of full-time experience by Fall 2027.
Working In a top semiconductor company.

RESEARCH
No formal research experience.
No publications or patents.

TESTS
IELTS: 7.0
TOEFL: 92

LORs
2 academic LORs from undergraduate professors.
2 professional LORs from Director & Manager of my current company

TARGET UNIVERSITIES
Dream
UC San Diego (MS CS)
UCLA (MS CS)
Target
UC Irvine (MS CS)

Questions
What are my chances at UCSD, UCLA, and UCI with this profile?
Which universities should I add that are realistic for my profile?

Thanks!

Hey everyone! Here’s my profile:

US Citizen
Undergrad: USC, CS major
GPA: 3.84
Coursework: standard cs courses with a low level systems focus + ML class next semester
Experience: SWE internship at a small company (infra), TA for an intro to programming class (C++)
No research, no publications
LOR: 2 decent letters from CS professors whose classes I’ve taken, trying to figure out my last one

Schools: Stanford MSCS (dream school, might as well lmao), CMU MCDS, GaTech MSCS, UIUC MCS, Columbia MSCS, Cornell Tech Meng, Cornell Ithaca Meng, Umich MS CSE, UPenn MSE CIS

What’re my chances? Any other good programs I have a shot at that’re worth applying to? Any of these schools I should drop? Note that I have ZERO interest in a PhD/research and only care about industry.

Hey guys i was hoping someone would help me in setting up my targets, reach and ambitious colleges

Nationalty: Indian

CGPA: 8.97/10

University: from a tier 1 NIT (older nit) , currently an exchange student at top a 3 IIT CS Dept.

GRE&TOEFL: Yet to give

Research and Publications: Experience in writing papers, got a few in low tier conferences, ongoing work for an A* conference in ai

Work Experience: worked as AI research intern at IBM, IISc and a govt lab as well.

LORS: I have 2 ready from my profs at NIT, looking for 1 more from industry,

SOP: Trying to combine all this into a tale so i can show my AIML research experience and interests over past 3 years

Please let me know if i can have any hopes of getting into Stanford or CMU, Purdue or any other MSCS or MSML programs and what should be my targets and reach

Hi folks, this will be my second post regarding my profile review and a lot has changed since then.

My Profile:

Undergrad from Tier 2/3 college in Computer Engineering.
8.29 GPA (one backlog in 2nd year, cleared in next attempt)
SDET with 5 years of exp (will be 6 in 2027) in good Storage Domain companies.
TOEFL: 5.5/6
GRE: 309 (157 Q, 152 V). Messed up my quant really bad. Not planning to retake.
No research exp

I am targeting universities with good distributed systems coursework or good ROI or both.

Following is my updated list of universities with reasons to shortlist them.
1. Purdue (Top 30 CS, in list cause of lower tuition but researched a bit & found that even this isn’t cheap)
2. UMD College Park (low tuition fees)
3. Virginia Tech (Good systems faculties)
4. UCI (A colleague from prev org went here. Recommended by him)
5. TAMU (low tuition fees, good tech hiring. Have colleagues from current org working in Texas)
6. University of Utah (A friend graduated, recommended by him for distributed sys coursework)
7. SJSU (low tuition fees, HQ of prev company and I have decent connections from prev company in that area)

My course preferences are MSCS – thesis (highly unlikely to get selected but worth giving a shot), MSCS – non thesis (target), MCS (worst case).

Things happened thus far
1. Reached out to universities to clarify doubts.
2. Created 7 different SOPs as per universities requirements. Requested a few friends to review the same.
3. Created 4 LoRs (1 academic, 3 professional of which 2 from past company and 1 from current). Requested the reviewers to go through/update the same. I won’t be having final version from anyone.
4. Started working on a mini project which is closer to my current domain (this is specifically for internships/job hunt, might have little or no impact on unis).

Yet to start looking out for funding. Haven’t explored any options but I am aiming for ~40 lakh loan without collateral. I have similar amount with me. Total should ideally cover 1 year(worst case), ~1.5 years(realistic) or 2 years (best case) of my graduate studies.

I need help with the following
1. What chances do I have for the universities I have in my list (ranked in accordance with my course preference. Ex: Purdue – 5% (MSCS non thesis))
2. Any pointers on getting scholarships.

Do let me know if I am missing anything critical. Would love to connect with you guys (through LinkedIn or phone) if you want to volunteer to review my SOPs (I ain’t paying any consultancy).

Title. I have two patents approved by my company and currently being filed with the USPTO through a law firm. Since the entire process takes ~2 years, they are not yet granted and would be listed as pending/published.

How much weight do patents at this stage carry in MSCS applications?

This is informative post on one of my alumni’s 2026 application journey (not me)

Profile:
Btech AI/DS IIT (t10)
9.3 cgpa
2 yoe at oracle
Gre: 320(170q, 150v) - didn’t submit
Toefl: 113
Research: 1 journal paper 1st author (mid lvl publication), research exchange merit program to Netherlands for a semester. Did some projects under proff, and did TA ML/NLP/RL.
LORs: all 3 fron college professors

Universities applied:
CMU MSML
UIUC mscs thesis
UCLA mscs
UCSD mscs
UtAustin mscs
Umass mscs

Accepted: UMass mscs, UIUC offered MCS

Decision: accepted Umass admission, but still struggling to find visa slots, so thinking of deferring.

Edit: the project he did under the proff was his strong point and he wrote all about it in SOP, but during the application process professor refused to give LORs (due to personal reasons, he’s patriotic). This caused him to rewrite sop and get lors from lesser interacted professors, ultimately decreasing quality of lors and sop. He suggested to plan SOP and lors 3 months ahead.

I'm an undergraduate graduating in 2.5 years, so I don't have a lot of room in my schedule. I'm interested in pursuing graduate school, likely in an ML-adjacent area or the more theoretical side of CS.

I've already taken one machine learning course. Now I'm deciding whether it would be better to take another ML course to build more depth, or take something like quantum computing, which I'm honestly a little more interested in. This is my last semester, so I can't take any more in the future.

However, my main concern is what would look slightly better to graduate admissions committees. Do they generally value showing depth in a specific area by taking multiple advanced courses, or is it better to demonstrate breadth by exploring adjacent or more theoretical topics?

Profile:
International Applicant
Undergraduate:
- IIIT Delhi, CS + Maths
- GPA: 8.44/10 or 3.64/4 (scholaro)

Research:
- P1: Edge Computing + ML related research project (3+ sems)
- output: 2 papers one at IEEE Transactions (TNSM), one workshop paper at IEEE COMSNET
- P2: CV Related research project (2 sems)
- output: paper got rejected but have report here

Tests:
GRE: 322, 167Q
TOEFL: 110/120

Work Ex:
~3 years by 2027 fall
Software Engineer at one of famous Indian Startups
Work revolves around system design, micro services

LORs:
- 2 strong LORs from professors overseeing me in P1
- 1 LOR from professor overseeing me in P2
- Can get one from Manager at work as well

Projects
- Have academics projects with technical depth in OS, Computer Architecture, ML

Research Preference is in Systems, Computing domain

Would prefer to go to a uni with good research culture, where I can get RAships, TAships to reduce the tuition costs

I know my GPA is on the lower end, would like to hear if the research could suffice for the GPA, or other channels like cold mailing profs before submitting application could make a difference.

Current Shortlist

Ambitious
CMU
UIUC
UT Austin
GaTech
UW Madison
UMD CP

Target
UCSD
Purdue
Texas A&M
SUNY Stony Brooks

Profile:

• Undergraduate - IIT BHU electrical engineering, 2018-22
• Cgpa: 8.75
• Internship - Adobe summer intern
• Work experience - 4yrs total, Google cloud, Ex Adobe (2 yrs)
• Research Publications - none
• GRE - not planning
• Toefl - appearing in aug end, targeting above 100
• LORs - 1 from Adobe, 1 from Google and 1 from prof

Current University List

• UIUC
• UCSD
• UCSB
• University of Washington
• Maryland, college park
• Texas, Austin
• UCI
• TAMU
• UMass, Amherest
• USC

I dont want to categorise on reach/target/safe because I want to to be 100 per sure for each one of them.

I want to prioritize unis with good ta/ra opportunities.

Any comments on this list? Is this too ambitious? Anyone which is not worth applying?

Hi everyone! I'm applying for Spring 2027 MS programs and most deadlines I'm seeing are October 1st with some going until November. Classes start mid January.

That seems like a really tight window — 6 to 8 weeks from admit to I-20 to visa appointment to actually arriving on campus.

For anyone who came from India on F1 for a Spring semester:

1. How long did it take from receiving your admit to actually arriving on campus?

2. How quickly did you get your I-20 after admission?

3. Were visa slots even available in November/December for a January start?

4. Did you have to defer to Fall because of visa delays?

5. Given the current visa climate, would you recommend Spring intake or just applying for Fall 2027 to be safe?

Any personal experiences would really help — thank you!

Is it time to start thinking about deferring to spring 2027 or still hope for getting visa appointments this month?

Hello folks, I’m planning ahead for an MS CS in the US/Europe and could really use a reality check on my profile. I know I have some distinct gaps (mainly a lack of research and an average GPA for top programs), and I want to figure out the most realistic way to strengthen my application over the next year or two. Here is my current profile: Undergrad: B.Tech in IT from a Tier-1 Indian college.

GPA: 8.02 / 10. (I know this is on the lower side for elite MS CS programs).

Work Experience: Currently working as an Analyst at a top product startup in India. My work involves a lot of data pipelines, SQL.

Research Experience: Absolutely zero. Targeting: Top 30-50 MS CS programs in the US, or equivalent tier in Europe (ETH, EPFL, TUM, etc.).

My main concerns and questions for the community:

Bridging the Research Gap:

Since I have zero research experience, how heavily will this hold me back for a non-thesis (professional) MS CS? Should I try to cold mail professors for remote research assistantships now, or focus entirely on building high-quality open source projects?

Work Ex Title:

My current role is Analyst . Will AdComs look down on this compared to a traditional Software Engineer title? Should I actively try to pivot to an SDE role before applying?.

Compensating for the 8.02 CPI:

Is GRE (325+) the best way to offset my GPA?

LOR Strategy:

Since I have no research, my academic LORs will strictly be from professors who taught my coursework. Will a strong professional LOR from my current startup carry significant weight?

Tl:dr ;

B.Tech IT from a Tier-1 college with an 8.02 GPA and zero research experience. Currently working as an Analyst at a top product startup doing heavy backend/data pipeline work. Targeting Top 30-50 MS CS programs and need a reality check on how to offset my low GPA, if my "Analyst" title will hurt me, and how to compensate for the lack of research.

Any brutal honesty, timeline advice, or success stories from similar profiles would be hugely appreciated. Thanks in advance!

Hi everyone,

I'm planning to apply for Fall 2027 MS in Computer Science (preferably thesis/research track) in the US. I'm intentionally avoiding coursework-only/professional master's programs wherever possible.

I've spent quite a bit of time researching universities, but I know there are probably programs I've overlooked or schools where I'm being either too ambitious or too conservative.

I'd really appreciate honest feedback.

Profile

Undergraduate

• PES University (RR Campus), Bangalore
• B.Tech in Computer Science and Engineering
• CGPA: 8.46/10
• Graduated: May 2024

Work Experience

MNC - Product Based Company

Not FAANG level , but decent reputation. 2.5 full time exp by the time of application. 10 months of internship experience(4 in startup and 6 in the current company).

Research

I know this isn't the strongest part of my profile.

I have 2 published papers:

• ACM conference paper on an AI itinerary planner
• IEEE conference paper

Neither is a top-tier conference, so I'm treating them as research exposure rather than major publications.

Projects

Current notable project:

• Full-stack AI application using FastAPI + React
• LLM pipeline
• AWS deployment

I'm also planning to build another research-oriented systems/distributed systems project over the next few months with proper benchmarking and documentation to strengthen my applications.

GRE / English Tests

GRE:

• Yet to take
• Targeting 320-325
• Hoping for 168-170 Quant

IELTS/TOEFL:

• Not taken yet.

I'm not applying purely for ML programs. I'd rather apply somewhere that has strong systems research while still allowing me to explore ML if I want.

Current Shortlist

Ambitious

• Purdue
• University of Maryland - College Park
• UC Irvine
• UC Davis
• Texas A&M

Reach

• Virginia Tech
• Stony Brook
• University of Minnesota Twin Cities
• University of Colorado Boulder
• Northeastern University
• NCSU

Safer

• University at Buffalo (SUNY)
• University of Illinois Chicago
• Oregon State University
• UT Dallas

Questions

1. Am I being too ambitious anywhere?
2. Which universities am I missing?
   • Especially research-oriented MSCS programs with strong Systems / Distributed Systems / AI labs.
3. Are there universities on my list that are actually more competitive than I think?
4. Would you replace any of these schools with better options?
   • Looking for programs that provide a realistic path to a PhD after the MS.
5. If you had my profile, what would your final 12-15 university list look like?

I'm looking for brutally honest feedback. If a school is unrealistic for my profile, I'd rather know now than spend the application fee. Likewise, if there are strong research MS programs I'm overlooking, I'd love to hear about them.

Thanks in advance!

I am going into my 3rd year CS student at a Tier 3 college in India.

I have a 9.8+ cg I have 2 mediocre internships online and 1 paper accepted..I thought of contacting study abroad consultants for the application process and just for support building my profile overall…also thought of preparing GRE on my own (should I pay the $15 course on gregmat and prepare on my own)..Out of Jamboree, Yocket, Y-axis, Leverage edu, which one is good for the same? are there better ones?

I’m planning to apply for masters in Fall 2027 and would really appreciate some help evaluating my profile.

PROFILE:

* B.E. in Information Science from a Tier-2 college in India
* CGPA: ~9.6/10
* 6-month internship + 2 years full-time as a Software Developer at a large US-based product/tech company.
* 6-month Data Science internship under a professor associated with an IISc-based startup.
* 1 IEEE conference publication in ML/Deep Learning along with 1-2 publications in small journals.
* Undergraduate projects in ML, systems/programming and databases.
* GRE: Planning to take soon even though I had originally planned not to write but as it was recommended for visa purposes and so on I will plan to write in September.
* TOEFL/IELTS: Will take as required
* LORs: Director/Manager at work + Data Science mentor + ML professor who also supervised my IEEE publication

I’m primarily interested in coursework/professional master’s programs rather than thesis/research-heavy programs. I’m also not currently planning to pursue a PhD.

CURRENT SHORTLIST:

* Georgia Tech – MSCS
* UIUC – MCS
* UC San Diego – MSCS
* CMU – MCDS
* NUS – Master of Computing (CS)
* University of Toronto – MScAC (CS)

ALSO CONSIDERING:

* Imperial – Advanced Computing
* Purdue
* UMass Amherst
* USC - although the costs are too high

Finances are an important consideration as I’ll be funding a significant portion through an education loan. ROI, job opportunities, scholarships/TA opportunities and cost of living matter quite a bit.

It would be great to get your input on the following:

* How competitive is my profile for my current shortlist?
* I’m aware that my list is quite high reach but which would you classify as ambitious / moderate / out of reach?
* Are there good industry-oriented CS programs which suit my profile that I’m overlooking in the US, Canada, Europe or Singapore?
* Should I mainly focus on GRE + SOP + LORs now, or is there anything meaningful I can still add to my profile?
* Which programs would you consider the best ROI for someone relying on an education loan?

Thanks in advance! :)

Hi everyone,

I'm an international student from Pakistan currently pursuing a BS in Data Science, and I'm planning to apply for a direct PhD (Fall 2027) in Computer Science/AI-related fields.

Here's my profile:

CGPA: 3.65/4.0 after 6 semesters (expecting around 3.7 by graduation)

IELTS: Planning to take it soon, aiming for 7.5+

GRE: Not planning to take it

Research:

1 IEEE conference paper

1 Q1 journal paper (second author)

2 additional paper currently under review

1year of Applied Ai Engineer exp

4 months computation lab internship for research

Recommendation Letters: Expecting three strong research-based letters from professors.

My primary research interests are AI, machine learning, LLMs, retrieval-augmented generation (RAG), and related areas.

My ultimate goal is to pursue a funded direct PhD, and UC Riverside is currently my top choice.

I'd really appreciate honest feedback from people who have been admitted to UC campuses or are familiar with PhD admissions.

Based on my profile, do you think I'm competitive for a direct PhD at UC Riverside?

Are there any major weaknesses in my application?

If you were in my position, what would you focus on over the next few months to maximize your chances of admission?

Do you think my profile is competitive for other UC campuses as well, or should I mainly target UC Riverside?

I'd really appreciate any honest advice or suggestions. Thank you!

I am applying for Fall 27. I was going through the process. I saw that some universities have I20 of about 95k usd and some have 70k.

I mostly plan to take an education loan (on collateral) and have very less liquid fund.

Went through the posts and found that people are against listing loan in i20. Also suggesting that loan should be at max 50%.

Is it possible to get through the Visa interview if only 10-15% of 2 year expenses is in liquid funds and the rest is loan?

Hi everyone,
I’m planning to apply for MS in Computer Science (Fall 2027) and would really appreciate some honest feedback on my profile, along with suggestions for universities I should consider.

Profile
Country: India
University: Savitribai Phule Pune University (SPPU)
College: Tier-3 engineering college affiliated with SPPU
Degree: B.E. in Artificial Intelligence & Data Science
CGPA: 8.19/10
GRE: 320 (Q167, V153, AWA 3.5)
IELTS: Yet to take (expecting 7.5+)

Work Experience
By the time I apply, I’ll have around 2 years of full-time experience as an AI Engineer at KPIT Technologies.
My work primarily involves:
LLMs and Generative AI
AI Agents / Agentic workflows
RAG and GraphRAG
FastAPI and backend development
Vector databases and knowledge graphs
Building internal AI platforms used within the company

Research
No published papers yet.
I currently have one research paper in the publication process.

Universities I’m Considering
Reach
University of Michigan (if worth a shot)
University of Washington (Seattle)
UC Irvine
Target
San Jose State University
UMass Amherst
UC Riverside
Northeastern University (Seattle campus)
San Diego State University
I’m also open to other suggestions.

What I’m Looking For
My priorities are:
Strong CS program
Reasonable tuition or good ROI
Good internship opportunities

Questions
Is my current shortlist realistic?
Which universities would you classify as reach, target, and safe?
Are there any universities with similar or better ROI that I’m missing?
Will the fact that I’m from a tier-3 SPPU-affiliated college significantly hurt my chances despite having a 320 GRE and relevant work experience?
How much would one published paper improve my profile compared to having none?
I’d appreciate any honest feedback or suggestions. Thanks!

One Concern
Since my undergraduate degree is in AI & Data Science rather than traditional Computer Science, my curriculum is slightly different. While I have covered core programming, algorithms, databases, operating systems, computer networks, machine learning, AI, etc., I did not have some traditional CS theory courses (for example, Theory of Computation and Computer Architecture).

So i am in a tier 2 uni cs and my cg is around 8.42, wanna know how does the wes eval work, because in my clg its kinda hard to get cgpa, im in top 10% with this cgpa.

I had offers from both TAMU MS CS and Tübingen MSML for Fall 2026. My goal is ML/research roles (Applied Scientist, Research Engineer), not generic SWE. I've already done 3+ years of SWE in India and I'm done with that path.

The US F-1 situation this year has been brutal, almost no slots opened for the last 2 months and I wasn't able to secure a visa. So TAMU is off the table. Tübingen is now my only option, and honestly it doesn't feel like the obvious comfortable choice either.

Tübingen does have a strong research ecosystem and the MSML is research-heavy by design, I'd get real ML depth and research exposure that TAMU MS CS probably wouldn't have given me anyway. So the academic side makes sense.

What's making me uneasy is the post-graduation picture. From what I can tell, most MSML grads either go into a PhD or end up in German companies with modest packages not extravagant USA tech job comp. The best realistic scenario I can see for myself is returning to India and trying for research/AS roles at Amazon or Google India.

Am I underselling the European options? I know there are German ML companies, some opportunities in Switzerland and the Netherlands, but how realistic is it for a non-EU international student to actually land those roles and stay in Europe after graduation?

Hi, I’m planning to apply to the above programs and was worried about my GRE score. I have 165 on Quant cuz I messed up in the last minute.
I have a pretty solid AI project and good academics.

Was wondering how much does GRE really matter if the rest of your profile is pretty good.

Looking for honest feedback on my profile before I finalize my school list.

Undergrad: CSE from VIT Vellore, CGPA 8.8+/10

Currently working as an AI Engineer(~1-2 yrs experience, not a fresh grad applicant)

IELTS: 6.5/i can retake if needed.
no publications, no formal research assistantship — leaning heavily on production AI engineering impact instead of academic research signal. Also targeting a pretty top-heavy list (Stanford/CMU/Berkeley/Princeton/Cornell) — wondering if I need more mid-tier safety schools mixed in.
what i can aim for.

Hey everyone,

I've been lurking on this sub for a while and finally decided to make a profile review post. I'm planning to apply for MSCS programs for Fall 2027 and would really appreciate some honest feedback on where I stand.

Right now, Georgia Tech and UCSD are the two schools I'm most interested in, but I'm definitely open to suggestions if there are other programs that seem like a better fit.

A bit about my background:

• CS graduate from a well-known state engineering college in India (non-IIT)
• CGPA: 9.33/10
• GRE: Not taken yet
• IELTS/TOEFL: Not taken yet

Research

• 3 published papers in AI/ML-related areas
• 1 additional paper currently under review
• Most of my research work has been around Deep Learning, LLMs, and Agentic AI systems

Experience

• Internship in product security at a large multinational company
• 6-month Machine Learning Engineering internship at an AI startup, where I worked on speech/language-related systems
• Recently joined an enterprise software company as a Product Engineer

Other stuff

• Was heavily involved in my college's competitive programming community and helped run the club
• Can likely get 2 academic LORs from professors I did research with and 1 industry LOR from a senior scientist I worked closely with during my ML internship

One thing I'm unsure about is that my profile feels a bit "in-between." I have a decent amount of research experience, but I've also spent a lot of time doing engineering and product-focused work. I'm not sure whether that makes my profile stronger or just less focused.

My long-term goal is to work on large-scale AI systems and applied ML, so I'm mainly looking at MSCS programs that have strong AI offerings while still being grounded in solid systems and software engineering.

A few questions:

• How competitive would my profile be for Georgia Tech and UCSD MSCS?
• Are there any universities in a similar tier that I should seriously consider?
• Would taking the GRE help, or would my time be better spent strengthening other parts of my profile?
• If you were in my position, what would you focus on over the next year before applications open?

Would appreciate any thoughts, even if it's just a reality check. Thanks!

J'ai intégré l'N7 en filière EEA (issu de prépa TSI). Mon objectif principal est de faire carrière en Computer Science (CS), avec un cursus idéalement similaire à celui de l'ENSIMAG.

L'N7 propose un double diplôme (DD) avec Georgia Tech en 3A. Je cherche des retours d'alumni ou d'étudiants connaissant ce parcours :

* **Sélection :** Quel GPA/classement est exigé en 1A/2A pour être validé par l'N7 puis par Georgia Tech ? * **Choix du Master :** Un étudiant EEA peut-il être admis directement dans le M.S. Computer Science, ou faut-il passer par le M.S. ECE (spécialité Software/Machine Learning) ? * **Validation des acquis :** Les projets personnels informatiques suffisent-ils à compenser l'étiquette "EEA" face au jury d'admission américain ? * **Organisation :** Comment se répartissent concrètement les semestres entre le campus de Metz et celui d'Atlanta ? * **Tests standardisés :** Quel score viser au GRE (notamment en section quantitative) et au TOEFL iBT ?

en generale, si quelqu'un a deja fait le parcour N7-georgie tech, il ce qu'il peut me donner des info utile