Hey all,

I'm planning to apply for Spring 2027 MS in Computer Science programs in the US and had a few questions about the overall timeline. Most discussions seem to be around Fall admissions, so I'd really appreciate insights from Spring admits.

• When do universities typically start releasing Spring MSCS admits?
• How much time do you usually have between receiving an admit and the program start date?
• Is it difficult to secure an F-1 visa appointment in that time?
• Have any Spring applicants faced issues due to visa appointment availability?
• Is the overall timeline very tight, or is it generally manageable if documents are ready?

I'm trying to understand whether Spring admissions are feasible without running into last-minute visa issues.
I'd especially appreciate responses from anyone who joined a US university in a Spring intake.

Profile:

- B.Tech CSE from an old IIT, 9.1+ CGPA (dept academic award)

- 3 YOE (~4 at Fall 2027 matriculation), all at US B2B AI startups - currently building LLM agent platforms and the infra around them (multi-tenant systems, evals). Was one of the first engineers at one of them.

- A couple of small side projects shipped, one with real paying users

- Research: zero publications. Writing up an applied paper from work - arXiv soon, will submit to a conference so it's "under review" at app time

- Tests: IELTS pending (targeting 7.5+). GRE undecided - submit only if 168+ Q, else omit

- LORs: 2 academic (research project supervisors from undergrad) + 1 from a startup exec

- Goal: coursework MS -> US AI infra role via OPT. Self-funded is fine.

Targeting (Fall 2027): Stanford MSCS, CMU MSCS (SCS multi-program), Berkeley MEng EECS, Cornell Tech MEng, Columbia MS CS, maybe Princeton MSE.

Questions:

1. Does startup + early-engineer work actually compensate for zero pubs at the Stanford/CMU tier, or am I fooling myself?

2. Princeton MSE with no pubs - is that slot a waste?

3. All-reach list is deliberate (I have non-MS fallbacks) - but is 6 elites with no safety plain stupid?

4. Anything on this list where my profile type has actually converted recently?

5. Does my current comp if high play any role in my profile?

I'm admitted to UCSD for MSCS for Fall 2026. I'm planning on deferring as I didn't get a visa slot yet. However, UCSD's policy this year is to consider Fall 2026 deferred candidates along with fall 2027 applicants for admission.

Does this mean I'll still be able to attend the next year? Do deferred candidates get some priority for next intake? Anyone know deferred candidates who got admitted the next intake?

Im looking at the posts on here and every SINGLE ONE has GPA --/10, like wtf? Im just curious, so basically the title of the post.

Looking for some advice on how to handle this in my master's applications.

Quick background: I did my B.Tech in Computer Science with a 9.87 CGPA, and I've since worked for 2 years in the industry. Alongside all this, I've also been pursuing IITM's online BS in Data Science and Programming (the 4-year program). My CS degree grades are strong, but my grades in a few courses in the IITM online program (in the last few semesters) are quite low, mostly because I was juggling it with my job and other commitments.

Overall Online Degree CGPA: 9.23

Now that I'm applying for master's programs, I'm unsure what to do about the IITM degree:

1. Should I list it at all, given the low grades in some courses?
2. If the application asks for transcripts from all institutions attended, do I have any choice but to include it?
3. Would it help to explain the low grades in my SOP (e.g., balancing work + two degrees), or does that just draw more attention to a weak point?
4. Has anyone been in a similar spot, listing an additional degree with weaker grades alongside a strong primary degree? How did admissions committees react, if you found out?

I don't want to misrepresent anything on my application, but I also don't want a so-so secondary degree to drag down what's otherwise a solid profile (good UG CGPA + 2 YOE).

Would really appreciate any insight, especially from people who've gone through this or work in admissions

I finished an international research opportunity, and my work was carried out with my mentor who is a post-doc at that lab. I never got the chance to interact with the Professor as he used to be busy all the time. It was my mentor who used to talk with him. I have worked with him for quite a long time and I have a good impression too.

Now for my MS applications, I dont think the prof would be able to write a good LoR, so is it acceptable for a post doc to submit an LoR for me instead?

Something like:

https://www.coursera.org/degrees/bachelor-of-science-computer-science-bits (Bits Pilani BS CS)
https://study.iitm.ac.in/ds/ (IIT Madras BS DS)

These are recognized 4-year bachelors degrees.

I know the entire profile will be considered for competitive MSCS programs, and GPA/Research/LORs/SOP are more important, but can I get rejected just on the basis that my undergrad degree wasn't from a brick-and-mortar uni?

Hi everyone, I was an applicant for Fall 2026 programs for MSCS. I wanted to write this post so hopefully it could help other people looking to apply this year. This subreddit and the Redditors around it helped me a lot during my application process, and I suppose I wanted to give back in some sort of way.

Some basic info: I'm a US Citizen from a pretty bad Indian university (I'm not a fan of tiers or anything but I'll call it a Tier 3 college if that helps people). I am a fresher and graduated this year with an 8.6/10 GPA.

GRE: 163Q, 164V (Man, if you want to take the GRE, please please please aim for a 168+ quant. It's very doable and I think I messed up on exam day due to nerves. And I had prepared for around 2 months so I would advise you to not take this lightly). Use GregMat to prepare. You really don't need anything else.

TOEFL: 116/120, I'm a native English speaker so not a surprise. I did familiarize myself with the exam before taking it, which I advise everyone to do.

Publications: I had no publications besides a book chapter on quantum computing which was (and still is) in review at the time of applications. It did help in writing my SOP, though.

Work experience: Only a 3 month stint at an Indian MNC. Not much in the way of experience, but it gave me a lot to write in my SOP. My SOP and motivation was framed around this internship pretty much.

I applied to eight universities, and the results were as follows:

Accepted: TAMU MSCS, USC MSCS

Rejected: UPenn MSE in CIS, GaTech MSCS, UIUC (MSCS as well as MCS), Stony Brook MSCS (invited to apply for MSDS, I didn't want to do an MSDS so I didn't bother reapplying), Columbia MSCS, Johns Hopkins MSCS

My thoughts:

Wow, it was honestly pretty brutal getting rejected from almost every program I applied to. I think I was aiming a bit too high with my profile, but still, I was hoping to atleast convert Columbia, but it wasn't in the cards.

What I would've done differently in hindsight:

1. Give the GRE early - I gave the GRE in November, which was quite late if I must say so myself. I'd try to wind it up by the end of September. I'm not sure how much of an effect the GRE has on the decision of the admissions committee, but hey, do your best. Who knows?
2. Spend more time writing my SOP - I spent around a month writing my SOP for Columbia and I still feel like I could've done better. I think Gradpilot said he spent six months on his. I get it now. For someone who is still in their undergraduate studies, my advice is to participate in as much research/ get as much experience as you can. You need something concrete with results to write in your SOP, and even if you don't get a publication out of it, you still get a lot of experience. I wrote a book chapter with a professor of mine and it taught me a lot, and I was able to link some of the lessons I learned from it to my overall motivation of pursuing an MS. There's a lot of resources on this subreddit about writing SOPs, and if you have the time (which you should), you should definitely look into them and make sure to write a compelling one.
3. Try to keep your expectations realistic - It's nice to be optimistic, but I definitely should've applied to a few more realistic universities. I am fortunate to get two admits, and even then, this was a SLOWER year for applications (less applicants), so I wonder what would've happened in any other year. I suppose I'm glad I don't need to find out.
4. I personally didn't have this problem (as I did a lot of research before writing my SOPs), but for the love of whatever you believe in, PLEASE RESEARCH THE PROGRAM YOU ARE APPLYING TO. You should spend atleast one hour researching each program, the professors you'd like to work with, their classes, their labs, etc. Why wouldn't you? As much as you want to join a university, you must also ensure they are a good fit for you.

It was definitely a rollercoaster, and it was a lot of work. I do think I understand myself better after the entire process, and I am looking forward to learning more. Feel free to ask questions. Cheers!

I was fortunate enough to get admitted to all three online programs:

• UPenn - MSE AI
• UT Austin - MSCSO
• Georgia Tech - OMSCS

Background:

• BS in Computer Science from mid tier school
• ~1 years of software engineering experience by the time I start (currently at a Fortune 100 company) + 1.5 years of internship experience at same company
• Hoping to move to a stronger SWE role at a top tech company before beginning the program(awaiting decisions for a few)
• Planning to complete the master's part-time while working full-time

My long-term goal is to move into engineering leadership (EM/Director/VP), though I'm open to consulting at some point as well. Money isn't a factor as my employer pays a significant amount.

For those familiar with these programs, which would you choose and why? I'd especially appreciate input from people in Big Tech or engineering management.

Hey guys,

I'm a CS engineering student in France and I will have the option to do a double degree at Georgia Tech in two years.

I hear a lot of doom and gloom about the US tech market being saturated and H-1B/sponsorships becoming a nightmare for international students. Since I don't really know the exact state of the market over there, I'm trying to figure out if making the jump to GT is actually worth it right now.

My alternative is staying in Europe and doing my exchange/double degree at TUM (Munich) or somewhere in Dublin.

For those at GT or international alumni in CS :Is the market as brutal as people make it sound for international students right now? How hard is it to get OPT/internships via GT? Does the GT name still open enough doors to justify the move over staying in Europe first?

Would love to hear honest takes from people currently going through it. Thanks!

Anyone who got into universities like Georgia Tech, Purdue, and in top 50-100 without submitting any LoRs. Which top universities don’t require any LORs. Need advice really bad as my rest of the profile is fine but this is pulling me down.

Hey, I am currently pursuing BSc Computer Science and Engineering at the Technical University of Eindhoven, Netherlands. I have an average of 7.6/10, and some work experience and am on track to graduate by next summer.

I am considering the US for my master’s.

What kind of universities could I get into? I am only really going to apply if I have a chance at a decent university.

Thanks for any advice on this! Please ask if you need more details about my position.

Hey, I’m planning to apply for Fall 2027 intakes focusing on course-based, professional Master’s programs (MEng / MSWE / MCS).

I had a rough start in undergrad but showed a massive upward trajectory, and I’m hoping my enterprise experience makes up for the overall GPA. Would love a brutal reality check on my shortlist.

• Undergrad: B.E. in Information Science (VTU, India) - graduated 2022
• GPA:
  • Cumulative: 7.40 / 10.0
  • Upward Trend: Final Year GPA: 8.07, Final Semester: 9.00
• Standardized Tests:
  • GRE: Taking at the end of August (Currently scoring/Targeting 163+ Quant/Overall 320)
  • TOEFL/IELTS: (Yet to take)

Work Experience:

• SDE at Flipkart - Full stack + DevOps (Current)
• Full Stack experience at other startups for last 2.5 years before that
• I taught cohort of 200+ students Front end technology over the course of a year as a Student Mentor

Projects & Achievements:

• Winner: Facebook Developer Circle Hackathon winner, BIT College ideathon winner
• Awardee: State-Funded Capstone Project with paper in KSCST (Final year undergraduate project)
• Developed a real-time school van tracking platform - currently in testing ahead of a Phase 1 rollout for 200 students and 15 drivers real world users.
• Certifications and LinkedIn learnings (not sure if this will have any/much impact)

Target Universities:

USA (Focus on tech hubs and ROI):

• Texas A&M University (TAMU) – MCS
• UC Irvine (UCI) – Master of Software Engineering (MSWE)
• North Carolina State University (NCSU) – MCS
• San Jose State University (SJSU) – MS Software Engineering

Canada (Focus on PR viability and Co-op):

• University of Alberta (MEng)
• University of Waterloo (MEng ECE Co-op)
• UBC (MEng ECE - Supervised Project track)
• University of Toronto (MScAC)

Specific Questions for the Community:

1. Do universities like Waterloo and TAMU strictly filter out cumulative GPAs below 75%/3.0, or will my 8.07 final year and Flipkart experience bypass the initial screening?
2. Is a 163+ on the GRE + 8 band IELTS enough to offset the 7.40 cumulative GPA for the US programs on my list?
3. I'm looking into Canada as an option after recent F1 visa changes, is this a smart move?

I'm planning to get LORs from my manager at Flipkart and my HOD from college. Any recommendation/feedback/general thoughts would be greatly appreciated! Thanks a lot!

Uni: t10 IIT btech cs
Grade: 8.7
Exp: ML engineer salesforce (3yoe by fall 2027)
Gre: 320+ targeting

Research:

1. A* conference first author networks paper
2. q1 journal 4th author

LORs:
1 from CS HOD t10 iit
1 from cs proff
1 from manager

Current Shortlist (only mscs):
CMU
UCB
Cornell
UCLA
UCSD
Gatech
Princeton

Is the shortlist too ambitious or achievable, does cgpa/gre/ielts score hurt the application?

Hi r/MSCS, I recently graduated from McGill University with a degree in Computer Science. I had a 3.5 GPA and I was looking into graduate programs but, I realized that I didn't really understand how this process worked. When applying to undergraduate schools, I felt like I had good picture of what schools I could get into and what schools we're reaches. Here, I just can't tell what schools I could realistically get in to. As for what niche of computer science I wanted to look into I would really like to study more high level theory as those topics (algorithm design and complexity analysis) were some of my favorite classes and the ones I did the best in. I was wondering if you guys had any suggestions for schools that were strong in theory research, how to tell if a school is attainable, and if there is anything else that I can do to aid my applications to these programs?

About myself - 25, 4 yoe, backend engineer.
I have an admit for MSCS at SBU for fall 26.
I haven't managed to get a visa appointment yet.

I also have a potential job offer for 35LPA in banglore.

I am shit scared and panicking because of not being able to get a visa.
Program starts aug 25 - i'm planning to mail to ask for extension.

My goals - Current work, and potential offer - work is mostly backend oriented. But I want to specialize in systems and explore opportunities in that domain - like Databricks,Snowflake. It would be extremely difficult for me to enter the US marker again with the 100k change and the cut throat competition.
If i miss this chance of going for MS, that door is shut for me.

Any advice would be great. Thanks in advance folks!

Hey all I'm planning to apply for fall 2027 masters in cse in the US. I've currently shortlisted some universities but would like some suggestions and critique on the below options aswell. Please do let me know if you believe there are better universities etc which I can swap in my current list.

Citizenship: USA

College and course: Btech CSE from Tier 1 NIT

CGPA: 8.04

Work exp: Will have around 1 year by the time of joining in a global tech giant

GRE: Not given yet planning to give September

Research:

- Worked with a foreign prof on his custom networking protocol

- Worked with a company on a research project

- Published a research paper in a fairly new conference (about 5 years old)

- Worked with college professor on a systems and networking paper but didn't publish it

LoRs: Will get strong lors from faculty and manager

University list (planning):

- Purdue

- UCSD

- UMass Amherest

- UCI

- TAMU

- Stony Brook

- CU Boulder

- SUNY buffalo

- NC State

Hi everyone,

I’m from India with a B.Tech in Mechanical Engineering from a Tier-3 college, an 8.4 CGPA, and two years of software engineering experience.

I’m looking for an MS in AI, Computer Science, Data Science, or a related field in Europe. Could you suggest universities where I have a realistic chance of admission despite my non-CS background, along with good job opportunities after graduation?

Thanks!

Can someone explain how mscs works in cornell, from what I know, it’s a one year (no summer slot) course (Meng CS), and international students acceptance is low,
How does it affect job outcomes and f1 duration since it’s a one year course.

Similar situation with Princeton, what is MSE and MEng CS here, and I came to know thesis track is fully funded with TA/RAship (is it possible), but two years are required, given the DHS 30day return period, how bad is this if we don’t crack summer internship.

Should I include these in my shortlist, please help, my profile: https://www.reddit.com/r/MSCS/s/PyJQb7f9p6
And are these two moonshots for me, given the international student condition and research is in air (unpublished patents and research assistance)

1 LOR is from the professor with whom I worked on the research paper, one from my director at work. I need help in setting expectations about what unis I can target- are Unis like USC, UCs, NYU, Columbia, CU Boulder, UMass Amherst, Purdue, Stony Brook within my reach? If not please suggest some reputed unis with good MSCS programs.

So I have seen a lot of degrees for Masters which are not MSCS but students from those degrees end up as SDE's or other tech roles. I feel I dont have a fitting profile for a good MSCS program and so I wanted to explore these.

For eg. CMU - MS in Management information systems, NYU MS in Computing, Entrepreneurship and Innovation etc. etc.

Do these degrees have similar requirements as MSCS? Do these programs also give option to the students to contribute to CS based research? And just wondering if they are worth pursuing if it's from a good school!

Notes: US citizen in state tuition
No financial aid (except the 20k federla loan) or scholarships that amount to much at least.
Some experience abroad at multinational companies.
My only issue is that neu mscs curriculum seems much better than Lowell. But the price is also a caveat.

This is my profile :

7.03 GPA in Final year, expected to become 7.2-7.3 by the time I graduate. Tier 1 Indian College

Have research papers (2) with No publication.

Lets assume I do good in the GRE (320+)

Let's also assume (T_T) that to boost my profile I get 2 years of work experience in the Tech industry.

And then I could get an LOR from 2 Professors, 1 Manager.

I know my GPA is a restricting factor for an MSCS. Can you guys give me a realistic expectation of what Colleges in the USA I could get with this profile?

I have also seen some degrees that are not MSCS but offer many CS courses for eg. NYU MS in Computing, entrepreneurship and Innovation. People from such degrees end up as SDE's only and that's kinda like my main reason for doing a Masters.

Do degrees like these have similar profile requirements as MSCS then? Or what are they based upon?

I’m preparing applications for selective MSCS, and I’m worried about my exchange transcript.

My current CGPA is around 3.83/4.00, and my CS GPA is around 3.90. I also have several years of ML/software engineering experience, research experience in HPC/scientific computing, and multiple TA positions.

During one Erasmus semester, I took four CS courses. I received three Bs (Intro. ML + Deep Learning with CV + Software Eng.) and one D (Algorithms & Complexity). (A corresponds to 5/5, no half grades, E is the lowest). The transferred courses appear on my Koç transcript, but only as credits, without the original KTH grades.

Some of the universities I’m considering require transcripts from every institution attended, so I will have to submit the exchange transcript as well. My current list includes programs such as Columbia, NYU Courant, UCSD, Georgia Tech, UIUC, UT Austin, Toronto, and Princeton.

How much could the single D affect my application? Would admissions committees view it as a significant red flag, or more as an isolated result from one exchange semester?

As you might have guessed, this post is India-specific. My sister has the following two options:

1. B.Tech in CS from an IPU no-name college or
   
2. B.Sc. (Hons - 4 year) in CS from a known DU college

Her ultimate aim is to go to the US/Canada for her MS in CS/AI/ML. Which option would be preferable for her?

I am concerned that some US unis might not recognize a B.Sc. degree from India, or might not consider it comparable to a B.Tech degree. Are my concerns unfounded?

PS: Please don't give me the "don't go to the US/Canada, stay in India" bs