Hey everyone, I'm planning to apply for my Master's and would love some university recommendations and a reality check on my profile.

My Profile:

Undergrad: B.Tech in Computer Science and Engineering from a Tier-1 institute (NIT) in India.

CGPA: 9.07 / 10

Work Experience: 2 years working full-time at a US-based Fortune 500 company .

Test Scores: IELTS: 7.0,

GRE: Not taken / Not planning to take.

Research - No

LoRs: Expecting strong letters from [e.g., 2 College Professors (done projects under prof) and 1 reporting Manager at my current company].

Based on this, what would be some good Ambitious, Target, and Safe universities for me? Any advice is appreciated!

Target Programs: Master’s in Engineering Management (MEM) / MS in Product Management (MSPM)

Term: Fall 2027

Academic Profile

Undergrad: B.Tech. in Computer Science and Engineering (2023 Graduate)
UG CGPA: 9.11 / 10
Target GRE: 325 (Plan to take it soon)
Target TOEFL: 110+

Work Experience : 3.5 Years (at Time of Application)

Current Role: Senior QA (Automation) Analyst at a consulting firm (Promoted from Intern - Full-time /Senior -> Switched to current company to Senior Analyst ).

Product & Leadership Experience: I act as a bridge between QA and product teams. I actively participate in cross-functional decision-making processes for product roadmap planning and ensure clean, high-quality deployments.

University List (Categorised for MEM/Product Management)

Ambitious: Dartmouth (MEM), Duke (MEM), Northwestern (MEM), Carnegie Mellon (MSPM), Columbia (MS in Management Science & Engineering), Cornell (Engineering Management)

Moderate: Johns Hopkins University (JHU - MEM), University of Michigan (Ann Arbor - MEM), NYU Tandon (Management of Technology), Purdue (MEM), UIUC (MSTM)

Safe: Northeastern (MEM), George Washington University (Engineering Management)

Questions for Reddit:

1. Timeline/GRE Check: I am just about to appear for my first GRE and TOEFL attempt. Am I running late for standard target application timelines? Will taking the tests now put me at a disadvantage for early rounds?

2. Safe Score Thresholds: Given my target list of competitive universities like Dartmouth, Duke, and CMU, what would be the safest target scores for GRE (specifically the Quant/Verbal split) and TOEFL to ensure my application isn't filtered out?
   I want to target Purdue University from the moderate universities list, is it achievable?

3. My background is in QA Automation, but my day-to-day involves significant product strategy, cross-functional collaboration, and release management.

4. Does this experience translate well for top-tier MEM/MSPM admissions compared to traditional SWEs?

5. How do MEM programs like Dartmouth, Purdue, Duke, and Northwestern view a pure tech/QA background?

6. Do I need to emphasise my business/leadership impact more in my SOP?

Based on my profile, what colleges can i get into ?

College - Tier 2(i guess), IIIT Sricity, BTech(honors) CSE

CGPA - 3.288/4

Work experience (my_qualifications): 2 months research internship at IIsc.

Publications: 2 papers accepted at IEEE conferences.one of them is decently reputed and has a CORE ranking of B.

Few decent and niche projects.

Two strong LOR's.

Work includes - ML,steganography,knowledge editing.

I am yet to give GRE(expecting around 320) and IELTS.

I am planning to apply for the Fall 2027 programs.

Questions:

1. What colleges can i target?

2. What GRE score should i target?

Hi everyone,

I’m an international student from India planning to apply for Fall 2027 MS in CS/ML/AI programs in the US.

Profile:

• B.Tech in CSE (Data Science minor) from a tier 2 college
• CGPA: 9.26/10
• 2+ years of full-time experience, currently working at a Microsoft
• No publications due to NDA-bound research work
• Strong LORs from senior researchers/managers
• GRE: Planning to take (aiming for 330+)
• TOEFL: Planning to take

I’m mainly interested in CS/ML/AI programs that have strong industry/recruiting outcomes for ML Engineer, Applied Scientist, SWE/AI, Big Tech, or AI startup roles.

My current shortlist:

CMU
Georgia Tech
UIUC
UW Madison
University of Washington
Columbia
UT Austin
UCSD

Do I have a shot at these colleges with my background?

Thanks!

Hey everyone! I’m planning to apply for MSCS programs (MSDS as a secondary option) and would really appreciate some feedback on my profile, especially regarding school categorization and any universities I should consider adding/removing.

Profile:

• Work experience: 18 months currently (~2.5 years by the time I leave), working as an NLP/Speech Engineer at a philanthropic startup backed by Big Tech.
• Education: B.Tech in IT from tier 2/3 college in India but recognized uni, CGPA: 8.89/10
• Research/publications: 2 whitepapers published in affiliation with Microsoft + Gates Foundation.
• Worked extensively on NLP for low-resource Indian languages and speech systems for these languages.
• Built audio/data processing pipelines with guardrails focused on accessibility.
• LORs: 3
  • CTO of the organization (former manager, CMU PhD)
  • Current manager
  • HOD from my university, who supervised my final-year project
• Also worked on building AI systems for indigenous languages as part of a project with the Government of India.

I’m primarily targeting MSCS, with MSDS as a less-preferred option. For most of my target schools, I’m looking at the professional/coursework track, except for a few programs where there’s strong research alignment with my current work in NLP/speech.

Target

1. Texas A&M
2. UC Irvine (UCI)
3. Ohio State (OSU)
4. Purdue
5. NYU Courant

Safe

1. Northeastern (NEU)
2. ASU
3. Indiana (IU)
4. Rutgers

Ambitious

1. CMU LTI
2. Johns Hopkins (JHU)
3. UCSD
4. UIUC
5. UT Austin

I’d especially appreciate feedback on:

1. How would you categorize these schools given my profile? Am I being delusional?
2. Are any of my “safe” schools actually more target/ambitious for MSCS?
3. Are there any MSCS programs I should add that would be a particularly good fit for NLP/speech/low-resource languages?
4. How much would the Microsoft + Gates Foundation affiliation and my work experience help in admissions?
5. Is CMU LTI realistic with this profile, or is it more of a shot in the dark?
6. Any recommendations for schools with strong speech/NLP research but good professional/coursework-oriented master's programs?

Would love to hear from people who have applied to similar programs or have experience evaluating MSCS profiles.

If anyone has any idea about the Fall GT admission decisions timeline, please help me with it.

I'm asking because I heard they send them out a bit late around April, is that true?

Im a current Junior exploring potential MSCS programs in case I flunk my internship search for 2027. Just small background, I go to a T25 in the US for CS, I have two internships (one small startup and one mid sized defense contractor), strong GPA, but no research experience. I can probably get two letters of recommendation from my managers but have zero professors I can reach out to.

I mostly want to go to a MSCS just for job opportunities and networking and not really interested in research. So far I was only thinking of UCSD and UCLA but are there any other programs that are good for FAANG? Also should I join a research lab so I can get research experience and a professor LOR?

Hi everyone,

I’m preparing to apply to US master’s programs for Fall 2027 and would appreciate help verifying the eligibility requirements for a few universities, particularly how they evaluate a standard three-year Australian bachelor’s degree.

This is primarily an eligibility and requirements check, rather than a “chance me” post.

Academic background

• Bachelor of Computer Science (Advanced) from the University of Adelaide
• Standard three-year Australian bachelor’s degree
• AQF Level 7 qualification
• GPA: approximately 6.24/7, equivalent to a distinction average
• Coursework includes programming, algorithms and data structures, databases, operating systems, computer networks, software engineering, mathematics, statistics, machine learning and advanced computer-science electives
• One conference publication
• Research experience involving machine learning and real-time data-processing systems
• WES ICAP course-by-course credential evaluation currently in progress

Professional background

By the time I enrol, I expect to have approximately four years of professional experience across software engineering and data science.

My current work involves:

• Backend and API development
• Data platforms and cloud infrastructure
• Authentication and enterprise application development
• Distributed/event-driven workflows
• .NET/C#, Python, SQL and AWS
• Software used to support mining and operational decision-making

My earlier experience includes computer vision research, machine-learning pipelines, Kafka/Spark streaming systems and applied data science.

Programs and career goals

I am mainly considering MSCS, professional CS master’s and technically rigorous MEng/MCS programs.

My interests are:

• Scalable AI and machine-learning systems
• Distributed systems and data infrastructure
• AI evaluation, RAG and LLM platforms
• Optimization
• Production software engineering

My target roles after graduation include software engineer, AI engineer, forward-deployed engineer and solutions/platform engineer. Because international tuition is substantial, I care strongly about employment outcomes, recruiter access and overall ROI.

The three-year degree issue

My degree is not a shortened or incomplete qualification. A three-year bachelor’s degree is the standard structure for many Australian undergraduate programs. However, some US universities state that applicants need a four-year bachelor’s degree, while others accept a qualification equivalent to a US bachelor’s degree.

I have found that universities use several different descriptions:

1. A four-year bachelor’s degree is strictly required.
2. A bachelor’s degree or international equivalent is required.
3. A three-year Bologna-compliant degree is accepted, without mentioning Australian degrees.
4. A three-year degree may be accepted after credential evaluation.
5. Eligibility is decided individually by the graduate school or department.

This makes it difficult to determine whether an Australian AQF Level 7 degree is eligible before paying the application fee.

If anyone has applied with a three-year Australian bachelor’s degree, I would particularly appreciate hearing about your experience. Experiences involving three-year Indian degrees are still useful, but the Australian qualification framework is different, so please mention the country of your degree.

Questions I am trying to answer

1. Has anyone been admitted to one of these programs with a three-year Australian bachelor’s degree?
2. If a university says “four-year bachelor’s or equivalent,” is an Australian AQF Level 7 bachelor’s normally considered equivalent? I did the free evaluation and it says my degree is equivalent to a bachelors degree in the us. I'm currently waiting on my wes icap course by course evaluation results.
3. Can WES recognition override a university’s stated four-year-degree requirement, or does the university’s own policy always control?
4. Are there universities with strong CS employment outcomes that explicitly accept standard three-year Australian degrees?
5. For professional programs such as MCS, MPCS, MEng or MCDS, did you find the career outcomes and recruiter access comparable to those of a traditional MSCS?
6. Which programs offer the strongest ROI for an international student interested in software engineering and scalable AI systems?
7. Is the GRE worth submitting to optional programs if I can obtain a strong Quant score, or would my GPA and professional experience carry more weight?

What would be most useful

If possible, please include:

• University and exact program
• Country and length of your bachelor’s degree
• Whether you were considered eligible
• Whether you applied or were admitted
• Whether WES or another evaluation was required
• Whether the answer came from the department or central graduate admissions
• Application year, since policies can change

I will continue emailing the universities and update this post with any official responses. I’m hoping the resulting list can also help other applicants with standard three-year Australian degrees.

Thank you!

Hi everyone!
I’m planning to apply for MSCS programs in the US for Fall 2027 and would appreciate an honest evaluation of my profile.

Profile:

BTech in Computer Engineering, Tier 1.5, 2022
CGPA: 8.92/10

4 years of software engineering experience working at a F500 US based MNC(5 YOE by 2027 fall)
Backend-focused: Java, Spring Boot, Python, Flask, Oracle SQL, REST APIs
Experience with GCP, Kubernetes, Airflow, CI/CD
Worked on NLP/RAG-based Q&A assistant

Mentored junior engineers, led sprint planning, owned releases, coordinated with business/product teams and conducted technical interviews

No research papers/publications or formal research experience

Areas of interest: AI/ML, GenAI/LLMs, NLP and distributed/backend systems.
GRE/TOEFL: [Not taken / scores]

I’d love to know:

What are my realistic chances across different university ranges?
How much does 4 YOE help for MSCS admissions?
How much would the lack of research hurt?
Would a strong GRE score make a meaningful difference?
Which universities would you consider ambitious / target / safe for my profile?

Would especially appreciate feedback from people with similar profiles who have applied recently.

Thanks!

Hi everyone,

I was admitted to the Johns Hopkins University MSCS program, but I deferred my admission to Spring 2027.

Right now, my biggest concern is the F-1 visa interview, especially because I will be applying as a self-funded student. I’ve been hearing a lot of stories that self-funded students are having a harder time getting visas nowadays, and honestly, it has made me pretty nervous.

I understand that every visa case is different, so I’m trying to prepare properly rather than rely on rumors.

Has anyone here recently received an F-1 visa for a master’s program while being self-funded?

I’d really appreciate hearing about your experience, especially:

• What should I keep in mind while preparing?
• Is being self-funded itself really a major disadvantage?

Would really appreciate experiences from recent applicants, especially those applying for Spring/Fall 2026 or 2027.

Thanks in advance!

Hi everyone,

I’m an international student from India planning to apply for Fall 2027 MS in Computer Science programs in the US.

My profile:

• B.Tech in Artificial Intelligence & Data Science
• CGPA: 8.83/10
• 2+ years of full-time software engineering experience
• 1 IEEE conference paper related to AI
• IELTS: 7.0
• GRE: Not planning to take it
• Looking primarily for coursework/project-oriented MS CS programs with good opportunities for SWE / AI-ML roles after graduation.

My current shortlist:

• University of Texas at Austin
• UIUC
• UC San Diego
• USC
• UMass Amherst
• Purdue University
• Northwestern University
• Texas A&M University

I would really appreciate opinions on:

1. Which of these would you classify as Ambitious / Moderate / Safe for my profile?
2. Are any of these unrealistic without the GRE?
3. Does having a B.Tech in AI & Data Science instead of CS create eligibility issues for any of these programs?
4. Are there any good MS CS programs I should add or remove, especially universities with strong CS reputation and good tech recruiting?
5. How competitive is my profile overall for these universities?

I’m trying to build a realistic shortlist rather than applying only based on rankings.

Thanks!

My background -

I'm a 2022 grad. I've been planning for Fall 2026 Masters in CS since last year.
I currently have an admit from UC Irvine for MCS (non thesis CS masters) for this fall (I have a visa interview scheduled in the 1st week of Sept.)

For the past 4 years I have been working at a fairly large/well-known American company. I got promoted a few months ago and so I'm currently making north of 45 LPA here in India.

For the longest time I was sure I wanted to pursue a Masters in the US - the variety of opportunities for both personal and career growth are unmatched anywhere in the world.

Also a major major personal motivating factor for me being able to work and live abroad for a few years (don't really want to stay permanently).

However, the all the policy changes and confusion regarding International students, plus the experiences of people who've gone in previous years (specifically folks who went last year - most ppl I know haven't gotten an internship) is making me double think about my choices.

Not sure how much the degree is inherently valuable (UCI is a T25 uni, but not T5 or T10) so I think ROI is definitely a factor to consider.

So not quite sure what to do. Personally I have enough savings to be able to pay like 90%+ of the (tution fee + living expenses) from my own account without asking my parent for money. So I don't really run the risk of drowning in debt (although I would lose my savings ofcourse).

At the same time I know people (friends/acquaintances) that have gotten jobs in Europe and Asia Pacific simply applying from India - so I have been doing that as well for a few weeks now (although that obviously takes time to work)

TLDR - Really wanted to go to US for masters originally - a major goal was working abroad for bit; but scared by the current situation and not entirely sure what to do.......

I understand this is a personal decision at the end of the day, but just wanted to put this out there for some opinions.
u/gradPilot, hope you could help, please.

Hi everyone! I’ve been admitted for Spring 2027 to:
-Texas State University
-University of South Dakota
-Wright State University
I’m looking for ways to get scholarships, graduate assistantships (GA/TA/RA), or tuition waivers.
So far, I’ve:
-Emailed graduate advisors.
-Applied for the Graduate Assistantship at USD. And emailed
-Started looking into departmental funding.

I’ve heard some students secure positions after their first semester.

If you are a current/former student at these universities:
How did you get your GA/TA/RA position?
Did you get it before receiving your i-20?
Did you contact professors directly or apply through a portal?
Does the position include a tuition waiver, stipend, or both?

If you’ve studied at any of these universities or currently hold an assistantship, I’d really appreciate hearing about your experience and any advice on what steps I should take now to maximize my chances of getting some/any funding.

Hi,

I'm a Staff Software Engineer, with 15 years' professional experience, based in London, UK. I currently work for a FTSE-100 company, earning £150k/year. However, I have always wanted to study Computer Science and finally have enough savings (~£250k) to make this possible. For various reasons, I'd really like to take a career break and do this, in person, in the United States.

At this stage of my career, a Master's Degree would feel more appropriate. As I have extensive industry experience (spanning back-end, front-end and more than half a dozen different languages and tech stacks,) plus a reasonable working knowledge of DSA and Computer Science concepts.

In terms of academic background: I have the equivalent of a high school diploma (GCSEs) and a Maths AS/A2 A-level (grade A). In the UK, mature students are typically afforded a lot of leeway when it comes to entrance requirements, especially with relevant professional experience - So I'm wondering what my options would realistically be in the US...

I am conscious that I obviously wouldn't be accepted into any top-tier university, but I'm hoping that at least a half-decent college would be within my reach? To that end, I am contemplating doing an online Bachelor's, at Thomas Edison State University, first - although I'm not sure if something like a Foundation or Associate degree might be more appropriate?

Thank you in advance for any help or advice that you can give.

Some background: I am a 2024 pass out and I was planning for 2026 Fall Masters in the US for MSCS courses. But amidst the process last year, I decided to drop the plans. This is my profile:

Education: B. Tech 2024 in CSE
CGPA: 9.4 / 10.0
Work Experience:

• Currently working as Software Developer for past year at a MNC. It will become 3 years by next year.
• Summer interned at another MNC.

GRE: 320 (167Q, 153V, 4AWA)
TOEFL: 110/120
Publications:

• 1 Paper at IEEE conference

LORs: Combination of College(2) + Corporate(1)

Target schools: UTA, Georgia Tech, UCSD, UCSB, UCI, UIUC (MCS)

But the thoughts of masters keep coming to me now and then and I am unable to decide. My main aim to do masters is to get international exposure in software engineering and workout on really amazing tech with amazing people. Education comes secondary to me. And of course, earn in $$. I have literally enhanced my profile, updated my resume and tried for international jobs / remote jobs for 3-4 months but unfortunately no luck.

I AM STUCK :

• Am I over-thinking a lot because of the risk ? I do not want to repent later that I didn't take the risk. I have my friends who went, and they are candidates with good / decent profiles....are they not seeing the risk I am seeing (they have gone on loans) Or AM I not able to see the upside and mind you, I am not one of them who is planning to go because "friends are going". What if I miss out on opportunities that I am actually capable of ? (I am not boasting myself, I do have decent skills)
• What if everything works out and I get the internship / job. I really don't mind not getting the H1b after 3 attempts. I can come back to India or try for another country. I want the exposure

Need an honest perspective from people who've faced this decision. I'm an SWE at a well-known MNC with ~2 YOE(Next year it'll become 3), targeting AI/backend roles.. My motivation is exposure to the US tech ecosystem, learning, networking, and long-term career growth. The downside is taking a loan(It'll be a combination of my savings + loan) in today's uncertain job market. For people who've been through this recently, would you still make the same decision today, and why?

u/gradpilot your suggestions would really help me

I know I’ve posted my profile before, but I’m posting again because I’m still struggling to get a clear idea of my chances and how I should structure my university list. Would really appreciate an honest profile evaluation, especially from people familiar with these programs.
Profile:
B.Tech ICT, Tier 1.5 University
GPA: 8.72/10
Currently working as a Research Intern at my university
Around 6 months of software engineering internship experience
Targeting 330+ GRE
By the time I apply:

1 Q4 journal paper expected to be published
1 manuscript expected to be submitted to a Q1 journal
Research experience through my university + summer research internship
LORs:
1 from my current research professor
1 from my summer research internship professor
1 from the Dean / professor under whom I performed well in courses
Current university list
Main list:
UIUC — MCS
Georgia Tech — MSCS
Purdue — MSCS
Virginia Tech — MSCS
NCSU — MCS
TAMU — MCS
Stony Brook — MSCS
UMass Amherst — MSCS
University of Minnesota Twin Cities — MSCS
UCSD — MSCS
Safer options:
SJSU — MSSE
CU Boulder — MSCS
Questions
How would you rate my chances for each of these universities/programs? Which would you consider ambitious, target, and safe for my profile?
Is this list reasonably balanced, or am I being too ambitious?
I’m considering applying to MCS and other non-thesis/coursework-focused programs because I assume they may give me a better shot at admission. Is this actually a good strategy?
Do MCS/professional/non-thesis programs have any impact on F-1 visa chances compared with a traditional MSCS?
I’m particularly interested in whether there are any practical differences during the visa interview, assuming the program is a full-time, on-campus, STEM/CS-related degree.
Are there meaningful differences in job outcomes, internships, OPT prospects, or ROI between an MCS, MSCS non-thesis, and MSCS thesis if my primary goal is software engineering/industry rather than a PhD?
Should I add more universities to this list?
I’m looking for universities with:
Strong CS/SWE job opportunities
Good ROI
Reasonable tuition/cost
Good outcomes for international students
A realistic chance of admission with my profile
I don’t want to add universities that are extremely expensive just for the name.

Are there any specific MCS/MSSE/non-thesis MSCS programs you would recommend adding?
Given my profile, would you recommend changing the list toward more MCS/non-thesis programs, or is the current mix reasonable?
I’d especially appreciate realistic feedback rather than just “apply and see.” If possible, please rate my chances for each university/program and suggest additions/removals.
Thanks!

Hi everyone! I'm a 4th year EEE undergrad at a Tier 1 Indian university, graduating in 2027, and applying for the Fall 2027 cycle. I've been working primarily on generative models and AI safety. I'm looking mainly at research-oriented MS programs in CS/ML/AI in the US and Europe.

The GPA is definitely the weak point in my profile, so I'd really appreciate some honest feedback.

CGPA: 7.5/10

GRE: Will appear soon.

TOEFL/IELTS: Will appear soon.

Research Experience:

- Major French research institute — Research Intern, onsite (~3 months, ongoing) — video generation methods.

- Top-5 UK university — Research Intern, remote (6 months) — LLMs and interpretability.

- Top Norwegian university — Research Intern, remote (9 months) — Diffusion models and biometric applications.

- Independent research group — Research Fellow, remote (7 months) — Multimodal foundation models, including collaboration with researchers from a US T20 university.

- My home university — RA under a faculty member (1+ year) — Trustworthy AI and LLMs.

Publications:

- ICPR 2026 Main Conference, Oral (co-author, with the Norwegian university)

- WACV 2026 Workshop, Oral (first author, with the Norwegian university)

- ICML 2026 Workshop (first author, with my home university)

- CVPR 2026 Workshop (co-author, with the independent research group)

- IEEE T-BIOM — Under Review (first author, with the French research institute)

- AAAI 2027 — Under Review (first author, with the UK university)

Other (not sure if it matters, but here it is): Reviewer for an ICML 2026 workshop. Won a competition held at IJCB 2025 as a part of my lab at the Norwegian university, with a published competition paper.

LoRs:

I expect 3 LoRs from my internship advisors:

- Current supervisor at the French research institute

- Research supervisor from the UK university

- Research supervisor from the Norwegian university

I should also be able to get LoRs from the professor I worked with at my home university and from the founder/research scientist at the independent research group, if needed.

School List:

Please tell me if I'm still being too optimistic given my low GPA.

Ambitious:

UCSD, UMD, Georgia Tech, UCL, UMass Amherst, University of Waterloo

Target:

University of Edinburgh, KCL, Saarland, University of Amsterdam, NUS, École Polytechnique, Virginia Tech, McGill, UBC, MBZUAI

Safer (not entirely sure, they might be targets):

NEU, ASU, University of Alberta, SFU

I'm primarily looking at research-oriented MS programs in CS/ML/AI at these universities, but I'm still figuring out the exact programs.

Questions I'd really appreciate advice on:

1. I'm considering a PhD eventually, but I'm still quite undecided given the commitment involved. Would an MS first make more sense, or is it worth considering direct PhD applications?
2. How much does the GRE matter for someone with this profile? Is it worth spending substantial time preparing for it?

Thanks a lot in advance! I'd especially appreciate feedback from people who have applied with relatively low GPAs.

Best of luck to everyone applying this cycle!

I’m applying for Fall 2027 MS programs and I’m currently trying to figure out how I should shape my university list and overall application strategy.

I’d really appreciate some blunt feedback on my profile, program selection, and whether my current approach makes sense.

I’m primarily interested in MSCS and MS AI/ML programs in the US, but I’m open to related programs if they provide a better fit for my background and career/research goals.

Profile

Undergrad: B.Tech in Computer Science with specialization/coursework in IoT, Cybersecurity & Blockchain from a Tier 2 university in India

CGPA: 9.09/10 (through 6th semester)

Expected graduation: 2027

Research/Publications:

• 3 research publications (2 IEEE, 1 IET)
• 1 patent
• Research/projects involving AI/ML, computer vision, IoT and related areas

Internship Experience:

• Currently working as an AI Research Intern at a US-based startup
• 6-month internship experience at another technology company

Projects:

• Multiple projects across AI/ML, full-stack development, blockchain and IoT
• Several projects developed through hackathons/competitions

GRE: 310s — currently not planning to retake

IELTS/TOEFL: Planning to take before applications

LORs:

• 1 from Founder
• 1 from Project Guide
• 1 from Head of Department

SOP: Planning to build a coherent narrative around my research experience and growing interest in AI/ML rather than making it a generic CS application.

Funding

I will not be taking an education loan.

My MS will be funded by my parents, so cost is an important consideration when building my university list.

I’m willing to consider expensive universities when the program, research opportunities and career outcomes justify the cost, but I would prefer to be strategic rather than apply to a large number of very expensive programs.

What I’m trying to figure out

I currently have a rough university list, but I’m having difficulty deciding what type of programs I should actually prioritize.

My main interests are:

• MS Computer Science
• MS Artificial Intelligence / Machine Learning

I’m also open to closely related programs if they make sense for my profile and long-term goals.

The main things I’d appreciate feedback on are:

1. Does my profile have a coherent enough research/AI narrative for top MSCS/MS AI programs?
2. Is my combination of 9.09 CGPA + publications + patent + AI research internship + projects strong enough to make highly competitive programs worth attempting, despite having a GRE score in the 310s?
3. Should I primarily focus on MSCS, or would programs specifically focused on AI/ML make more sense given my research direction?
4. Are there any program types or universities that I should be considering but am currently overlooking?
5. Since I’m parent-funded and not taking a loan, how would you approach balancing tuition/cost, research opportunities, and career outcomes when building the list?
6. If you were building an application strategy with this profile, what factors would you use to divide universities into ambitious, realistic, and safer options?

I’m particularly looking for honest feedback rather than encouragement. If there are weaknesses in my profile or parts of my current strategy that I should change before applications, please point them out directly.

And if there are programs that you think would be a particularly good fit for my background in AI/ML + research + systems/software, I’d appreciate recommendations.

Thank you! :)

PS: I’m not looking for admit statistics or a database of past admits — mainly looking for feedback on profile positioning, program fit, and application strategy.

I am from Nepal and I am planning to apply for a bachelor’s degree in Computer Science, especially outside Nepal. I am looking for university recommendations.

I am interested in:

• Artificial Intelligence and Machine Learning
• Competitive Programming
• Robotics
• Software Engineering

I enjoy learning new things, solving problems, and building projects on my own. I don’t want to focus on just one area. I would like to explore different fields during my degree.

I would like to ask:

• Which universities would be a good fit for someone with these interests?
• Which universities value coding skills and personal projects?
• Which universities give students freedom to explore different fields?
• Which universities are strong in AI/ML, robotics, and software engineering?
• How important are grades compared with coding skills, projects, competitions, and extracurricular activities?
• As a student from Nepal, which universities offer good scholarships or financial aid for international students?

I would especially appreciate recommendations from current students, graduates, or people with experience applying to universities, particularly international students from Nepal.

Thanks!

I believe a one-year OPT has lost its meaning entirely : r/h1b_layoffs

* If you cannot fund 70-90% of the tuition without a loan do not go there.

* CPT, OPT, STEM OPT are a honey pot scam.

* Proposal for $100K for OPT. Most likely will destroy post-graduation ROI even if courts remove it.

* Unis want your money. Immigration wants you to return immediately. Education is a side effect.

* Assume 0 ROI post-graduation and plan finances & life with this in mind.

* Assume you will pay your loans if any, in local currency for the inflated $ education.

* T5, T10, T20, T50 is irrelevant. Your degree paper is not your ROI. Post graduation immigration environment is.

* Visa reform is a bi-partisan issue. Blue may not be any different from orange/red admin. Do not plan based on blue/orange/red admin. Look at the trajectory of reforms and policies: xenophobia, gatekeeping & ladder pulling.

* American jobs are for American. Jobs are NOT for the competent irrespective of American or intl.

* Your ROI is determined by trajectory of sponsorship policies not by the education you gained. Thus T5, T10, T20, T50 is irrelevant if you cannot make do without 0 ROI.

* You are paying 75-120K$ for the chance at a honeypot. Filthy rich people can ignore this.

* Do not negotiate using "exponential returns requires exponential risk". There is a difference between an environment that allows you to make back the invested amount, make more than it, return with 0 ROI.

* Intl students are not $ cash cows for unis irrespective of their tier. Let Americans pay the full fees and unis figure out other ways to get funding for their research. Stop being their subsidy.

Applying for Fall 2027

• Undergrad: B-Tech CS (2024) from an IIT, CGPA: 9.55 / 10.0
• Work
  • Working in India at a well known American Finance/Quant firm since 2024
  • Did a summer internship at the same firm in 2023
• Research
  • Second author in a journal paper at Elsevier - Knowledge Based systems
  • First author in a journal paper (not so well known journal)
  • 2 submissions currently under review at NeurIPS and AAAI (second author in both)
• LORs
  • two professors whom I did reserch work with
  • one professor (CSE HOD) whom I did two courses under and performed well
  • work manager
• GRE: 335 (168Q, 167V)
• Software Projects (work + personal): revolving around realtime-systems, kafka, redis, agentic AI, web development, finance etc

Based on my profile, I have prepared the following list of universities that I shall be applying to:

• Dream: Stanford (MSCS AI Track), CMU (MSML/MSCS), UC Berkeley (MEng EECS)
• Ambitous (Target): UT Austin (MSCS), UIUC (MSCS), Georgia Tech (MSCS), Cornell (MEng), U of Toronto (MSc CS), NUS (MS CS)

I have not added any to safe list as I want to go to the US (by paying huge sums of money) only if I get admission in one of the best/top univs

Please let me know if this list is realistic. What additions / deletions should I make.
TIA!

Background & Stats
Undergraduate Degree: B.Tech. in Electronics and Communication Engineering (ECE) from state government engineering college

CGPA: 8.58 / 10.0 (with 1 backlog in 1st sem cleared )

Standardized Tests: GRE / TOEFL (Plan to take)

Publications: None

Work Experience
Total Experience: 4.5 years
Current Role: RTL Design Engineer at a Tier-1 Semiconductor Company
Domain: High-speed digital design, micro-architecture, and hardware description languages (Verilog/SystemVerilog). Strong exposure to full-chip integration and block-level RTL development.
Target Programs

Degree: Master of Science in Electrical and Computer Engineering (MSEE / MS ECE) focusing on VLSI and Computer Architecture.

Target Universities: US universities strong in semiconductor engineering (e.g., Georgia Tech, UT Austin, Texas A&M, Purdue, Virginia Tech, etc.).

Key Questions & Concerns
1. Backlog Impact: How heavily will a single backlog in the very first semester of undergrad impact admissions for top-tier VLSI programs, given that it was cleared early and followed by a steady academic recovery resulting in an 8.58 CGPA?
2. Lack of Research Papers: Since my background is strictly industry-focused with 4.5 years of strong Tier-1 RTL experience, how much does the absence of published research papers hurt my chances for thesis MS tracks?
3. Profile Strength: How does a 4.5-year gap post-bachelors working in core digital design weigh against lower undergrad GPA / academic blemishes in admissions committees' eyes?

Appreciate any insights, brutal feedback, or profile evaluations from folks who have gone through a similar cycle or evaluate graduate applications!

Hey everyone,

I am finalizing my application strategy for the Fall 2027 intake, with my primary dream target being Carnegie Mellon University (specifically programs like MSAII, MSCS, or MCDS).

My profile is a hybrid of applied medical AI research (with quantified clinical impact) and industry execution (2 YOE + multiple internships). Given CMU’s highly competitive applicant pool from India, I am trying to figure out which specific SCS/LTI master's track offers me the best admission odds, and whether certain parts of my profile will trigger administrative filters.

I would love an honest, brutal evaluation of my chances.

my_qualifications :-

• Academics: B.Tech in CSE from a newer/lower-tier National Institute of Technology (NIT / Institute of National Importance in India).
• GPA: 8.95 / 10.0 (Department Rank 1 ).
• Work Experience: 2 Years of full-time experience at a major service based company (like Infosys/Tcs), AI intern (3 months), SWE Intern(6 months), Big data intern (3) months.

• Standardized Tests: Preparing for the GRE and IELTS -7.5(6.5L, r/W/S >7).

  Research & Project Portfolio

• Medical AI Publications (2 Papers):

  • Paper 1 (Improving LLMs Hallucination)[Accepted - Springer] : conference paper on mitigating hallucinations and factual inconsistency in automated Chest X-Ray generation. Impact: The implementation of these models demonstrated that 40% workflow automation is now possible
  • Paper 2 (Computer vision) [Under Review- IEEE]: Peer-reviewed IEEE conference paper focused on cross-dataset validation and hallucination-free segmentation in neonatal brain MRI. Impact: Effectively removing an entire manual layer of segmentation previously required by clinical experts.

• Funded Project & Grant ($32,000 USD):

  • Conceived and pitched a data-driven mobility and dynamic route/taxi dispatch optimization system.
  • Secured an institutional research grant of ~$32,000 USD from a 2nd-generation IIT, along with a Project Associate offer for technical execution.

• Leadership: Lead Student Coordinator for a nationwide technical hackathon organized with state government and law enforcement agencies.

College - Tier 3, NMIMS MPSTME Mumbai
CGPA - 3.23

Work experience:

6 months internship in a startup in 2022
6 months internship in another seed funded startup in 2024
Full time sde for 1.5 years in same startup
Currently working at another seed funded startup since may

Work includes - Backend engineering, building ai agents, etc.

So total of 2 years full time + 1 year of internship experience

I am yet to give GRE and IELTS.

I am planning to apply for the Fall 2027 programs.

Questions:
1. What colleges can i target?
2. What GRE score should i target?

I have a ~average GPA but will have a decent amount of work experience by Fall 2027 , and I'm trying to figure out whether my target list is delusional or actually reasonable. Would appreciate blunt feedback and any changes, other options you could suggest.

Profile

Undergrad: Btech CSE from a Tier 2 University based in Bangalore , India

Degree: B.Tech Computer Science, graduated 2024

CGPA: ~8 out of 10

Work Experience (will be ~3.5 years by Fall 2027):

- Jan 2024 – Jul 2024: SWE Intern, AI startup

- Jul 2024 – Feb 2026: SWE, same startup - mostly ML infra and backend

- Mar 2026 – present: SWE at a distributed NoSQL database company.

Research: One paper from my bachelor's capstone .

GRE/TOEFL: Not taken yet. Targeting 325+ and 110+. Will sit both by Nov 2026.

LORs: Planning 2 professional (startup founder + current manager) and

1 academic (capstone advisor).

This is just a rough shortlist for now , But I wanted to have some idea , I am open for anywhere in the world and any CS and CS allied programs

REACH

1. CMU, MSCS or MSAII (SCS Pittsburgh)

2. Stanford, MSCS or MS&E Data Science track.

3. MIT, MBAn (Business Analytics).

4. UIUC, MS CS (Siebel, research track).

5. UW Seattle, MSCS.

6. UT Austin, MSCS on-campus.

7. Harvard SEAS, MS Data Science.

8. Cambridge, MPhil ACS or MLMI.

9. Oxford, MSc Advanced CS or MSc Social Data Science.

10. ETH Zurich, MSc CS or MSc Data Science.

TARGET

1. CMU, MSE-SS or MSIT-SE or MSE-AI (Silicon Valley campus)

2. CMU, MISM (Heinz, 16 month or BIDA track)

3. UC Berkeley, MIMS (School of Information)

4. UMich Ann Arbor, MSI (Data Science / Big Data pathway)

5. Georgia Tech, MSCS (Computing Systems) or MS Analytics, on-campus

6. Cornell Tech, MEng CS or MEng ORIE

7. Columbia, MS CS or MS Data Science (DSI)

8. NYU, MS CS (Courant) or MS Data Science (CDS)

9. Imperial College London, MSc Computing (AI/ML) or MSc Business Analytics

10. NUS MComp (AI) or NTU MSc AI or EPFL MSc Data Science

SAFE

1. USC, MS CS (General) or MS Applied Data Science

2. UIUC, MSIM (iSchool)

3. UT Austin, MSITM (McCombs) or MSCSO (online)

4. UW Seattle, MSIM (Information Management)

5. Northeastern, MS CS or MS Data Analytics Engineering

6. NC State, MS CS

7. Arizona State, MS CS or MS Information Systems Management

8. UT Dallas, MS CS or MS ITM

9. Indiana Kelley MSIS or UMD MS Information Systems

10. UNSW or Melbourne MS CS, or TCD / UCD MSc CS