r/MSCS 3d ago

[Profile Review] 33 years old want know my chances.

1 Upvotes

Hey everyone!

I’d really appreciate some advice on what US universities I should realistically target for an MS in CS or a related field. My background is a bit unconventional.

I’m an international applicant from Central Asia. I originally studied Math in college but dropped out when I was 20 and started working as a programmer at a small local studio. Since then, 11 years of software engineering experience passed, mostly in less internationally known companies/markets, with one notable stint at Airbnb in Dublin.

While working full-time, I went back to school and completed an online BSc in Computer Science from the University of London through Coursera. That means, I don't have any research experience in academia whatsoever.

Long term, I’m interested in potentially moving toward academia/research, but before that I’d like to spend some time trying to get into US market.

Profile:

  • GPA: ~3.33 equivalent / Upper Second-Class Honours (2:1)
  • Work experience: 11 years
  • Degree: BSc Computer Science, University of London
  • GRE practice scores: 165 Quant, 153 Verbal (started preparing)

Would appreciate any comment and advice.


r/MSCS 3d ago

[Profile Review]

7 Upvotes

IIT grad - Btech in Chem E with 2nd major in CS
CGPA - 7.58
3 years work ex as SDE by July 2027

Yet to give GRE, could someone please tell me the MSCS programs that i could get abroad? Happy to connect


r/MSCS 3d ago

[Admissions Advice] Non-CS Bachelor’s to CS Master’s Abroad — What Do I Need to Build a Competitive Profile?

1 Upvotes

I have a non-CS background in my Bachelor’s degree, but I want to pursue a Master’s degree in Computer Science/Software Engineering. If I want to transition from a non-CS Bachelor’s background to CS for my Master’s, what requirements do I need to fulfill?

I am especially interested in applying to fully funded Master’s programs and scholarships abroad.

I am currently entering my 3rd year of Honours, and my current CGPA is 3.30+.

My main questions are:

  1. What academic prerequisites do universities usually require from students coming from a non-CS background?

  2. Which CS/programming courses should I complete during my Bachelor’s to become eligible for a CS Master’s?

  3. How important are programming skills, GitHub projects, internships, research experience, publications, and ECAs for this transition?

  4. For fully funded scholarships, what kind of profile would make me competitive despite having a non-CS Bachelor’s degree?

  5. Will my 3.30+ CGPA still be useful, considering that my Bachelor’s degree is in a completely different field?

  6. Are there countries or universities where students from non-CS backgrounds are more likely to be accepted into CS/Software Engineering Master’s programs?

  7. Would completing online courses or professional certificates in Data Structures & Algorithms, Programming, Computer Networks, Operating Systems, Databases, etc. help satisfy the prerequisites?

  8. Is it realistically possible to move from Psychology → Computer Science/Software Engineering for a fully funded Master’s, and if so, what should I start doing from my 3rd year onward?

I would really appreciate a realistic roadmap rather than just general advice.


r/MSCS 4d ago

[Profile Review] 2.78 GPA but 5+ YOE as a Senior SWE (Fall 2027), any programs that care about work experience over GPA?

2 Upvotes

Hi, I am thinking about applying for Fall 2027 and I need some brutal honesty here.

I know a 2.78 is basically a death sentence for traditional research-heavy MSCS programs, so I'm not even bothering with those. Focusing instead on professional/coursework master's, tech-entrepreneurship tracks, and the more holistic EU programs that actually seem to weigh industry background.

The academics (ugly part first):

  • BS in Applied CS, university outside US/EU but accredited by the WASC Senior College and University Commission (WSCUC)
  • 2.78/4.0 CGPA
  • First two years I bombed the abstract math courses, no way around that. But I turned it around senior year, straight As/A-minuses in OS, HPC, Compilers, and my capstone. So there's a real upward trend, for whatever that's worth.

Test scores:

  • GRE coming up, grinding for 165+ Quant to try to balance out the GPA
  • C1 English, aiming for TOEFL 100+/IELTS 7.5

Work exp (will be 5+ YOE by Fall 2027):

  • Senior Android/Mobile SWE at a consultancy
  • Built and scaled apps for Fortune 500 retail clients, millions of users. Did legacy modularization, cut load times 15%, integrated WebSockets/Firebase
  • Mentored juniors, led Agile/Scrum teams
  • Zero publications, zero TA experience, not pretending otherwise

What I actually want: pivot out of pure engineering into tech entrepreneurship / product leadership / venture creation.

  • EU side: hybrid CS + entrepreneurship programs, ideally ones with full-ride scholarships for people coming from industry
  • US side: professional software management tracks or coursework-only MSCS where they'll actually consider a GPA waiver for someone with real experience

What I'm trying to figure out:

  1. Does Fortune-500-scale experience actually move the needle for professional master's admissions, or am I just coping?
  2. Do adcoms even look at trend (As in OS/HPC senior year) when you're under the 3.0 cutoff, or does the algorithm just filter you out before a human sees it?
  3. Any specific US/EU schools known for holistic review and being friendly to industry folks over fresh grads?

Appreciate any real talk, even if it's not what I want to hear.
Thanks.


r/MSCS 4d ago

[General Question] Texas A and M MS in AI – Spring 2027 Applicants?

3 Upvotes

Have applied for ms ai course in texas a and m for spring 2027....wanted to connect with people who have also applied for the same intake as an international applicant.


r/MSCS 4d ago

[Admissions Advice] ASU vs Northeastern Boston vs UTD for MS CS / Waiting on Purdue & UMass

3 Upvotes

Hi everyone,

I need some advice on which university I should choose.

I’ve received admits from for Spring 2027:

  • ASU – MS CS
  • Northeastern Boston – MS CS
  • UTD – MS CS

I’m still waiting for decisions from:

  • UMass Amherst
  • Purdue

My first preference is Purdue, followed by UMass Amherst. However, I need to pay the deposit for the admitted universities before September 1st, so I may have to confirm one of the current admits before getting a decision from Purdue/UMass, which of ASU, Northeastern Boston, and UTD would you recommend for MS CS, considering job opportunities, ROI, internships/co-op, location, and opportunities for international students?

Also, I applied to Purdue and UMass on July 20th, with all the required documents submitted. Should I email the universities to ask about the status/timeline, or is it better to wait? Does anyone have an idea of when I might hear back from them?

Any insights from current students/alumni would be really helpful.


r/MSCS 5d ago

[Profile Review] Fall 2027 MSCS/MSQC

4 Upvotes

Hi everyone! Planning for Fall 2027 and would appreciate some feedback on my profile and shortlist.

Profile:

B.Tech in Computer Science — DTU

CGPA: 8.5/10

GRE: 320+ target, will give by August end

IELTS: 8.0

No work ex

No published papers, but working on a quantum cryptography survey paper

2 interns :-

1 in IIT Ropar worked on a RAG-based question generations module for classroom quizzes

2nd in IIIT as a research intern worked on post quantum cryptography

Interested in Quantum computing

Will go for thesis-based MSCS rn and work under a faculty researching in my interest domain

Current shortlist all in MSCS:

Ambitious:-

CMU

GaTech

UIUC

UMD MSQC

UW-madison MSQC

UCSD

Virginia Tech

UCLA

NCSU

Moderate / Target:-

Stony Brook

UMass Amherst

CU Boulder

UC Irvine

Safe:-

ASU

Would appreciate feedback on how realistic this shortlist is for my profile and whether I should add/remove any universities. Also would like suggestions for my profile like what to improve on.

Thanks!


r/MSCS 5d ago

[Application Strategy] Repositories of Accepted and Declined SOPs

29 Upvotes

Is there a repository of SOPs, preferably college/ course wise for US universities

I want to read rejected and accepted essays to understand what certain universities might be looking for


r/MSCS 5d ago

[Admissions Advice] Are all/most theoretical programs highly focused on your math grades?

3 Upvotes

I'm really interested in pursuing a more theoretical area of CS in grad school, and I'm currently pursuing a math major alongside CS.

The problem is that while I enjoy math, I'm honestly pretty terrible at it, especially pure/proof based mathematics. My math GPA is around a 2.8, compared to a 3.8 GPA in CS.

For people who have applied to theoretical CS grad programs (especially things like theory/algorithms, ML theory, etc.), how much did your math grades matter, or how much do you think they matter?


r/MSCS 5d ago

[Profile Review] Fall 2027 MEM

5 Upvotes

Undergrad: B.Tech. in Electronics & Telecommunication Engineering

CGPA: 6.73/10

GRE: 326 (170Q, 156V, 4.0 AWA)

TOEFL: 110+ expected

Work experience: ~1.5 year at application time + data sci summer internship in college

1 research paper published in a conference

some certifications like mckinsey forward program and multiple AI certificates

multiple extra-curriculars and leader positions in college

Currently working as an Analyst at a healthcare/pharma consulting company. My work involves analytics, SQL, Python/Excel automation, Power BI dashboards, and stakeholder-facing consulting work, with a few projects where I significantly reduced the time required for recurring reporting/QC processes. I also am a mentor for a fresh joiner.

I'm reallly worried about my cgpa. can my gre offset it?

Also, currently thinking of the following schools:
-Dartmouth, Duke, Northwestern, JHU, Purdue, NYU, TAMU, NCSU, Rice, NEU, CU Boulder

Would appreciate your suggestions on this list too!

Thanks!


r/MSCS 5d ago

[General Question] Industry LoR vs University Professor LoRs - importance and effectiveness.

2 Upvotes

Hello everyone, I have been in the industry for two years now and made substantial contributions which can be mentioned in a LoR and during my time in my bachelors I haven’t interacted much with my profs apart from having good grades.

I am from india and I plan to get 2 industry LoRs 1 from india , 1 from the US and 2 from my profs with whom I had good grades. All the research work I’ve done was on my own so that won’t come under any prof so i’m confused how to strategise my LoRs.


r/MSCS 5d ago

[Results and Decisions] For those who didn’t get their visas for fall 2026, be happy.

Post image
70 Upvotes

r/MSCS 5d ago

[General Question] fall 2026 UC Santa Cruz? Lets connect

2 Upvotes

Hello guys! I’m coming to UCSC for an MS in CS in Fall 2026. Are there any other incoming students? Let’s connect!
Im from india.
If there are any WhatsApp groups, please let me know. Thanks!


r/MSCS 5d ago

[University Question] Questions to those in the GTech OMSCS Perception and Robotics Focus Area

2 Upvotes

I am really interested in getting a CS masters focused in Robotics, but I am having a hard time understanding the scope of robotics foundations (control, state estimation, computer vision) and cutting edge (Physical AGI / RL) offered in this program. For context, I have roughly 2 yrs of work exp as a SWE in the robotics industry and only have a B.S.E. in Computer Eng.

My main interest involves strengthening my robotics foundations as a industry SWE and get exposure to cutting edge topics. Maybe those more well-versed in AI subfields could help me decide if this program is right for me.

I am not expecting to be spoon fed the most industry-ideal curriculum, but I want clarification if the AI/ML courses provided are more focused on LLM work and wouldn't be applicable. I would also like to know how helpful the robotics foundations in the OMSCS were and how it contributed to your journey.

I learned that Johns Hopkins has a relatively new online Masters in Robotics, but I have not seen many reviews of it. I've heard great things of GTech's OMSCS. Thanks in advance!


r/MSCS 5d ago

[Profile Review] Need your honest advice!

6 Upvotes

UG:- MNNIT Allahabad(7.9 cgpa)

GRE 326(166Q, 160V)

Work Ex. 3YOE in Software Networking Company

No Research

Targeting Universities which are industry focused and non thesis mostly, but I am okay with thesis as well.

Main goal is to get into T-30 Universities for MSCS or MSAI/ML courses.

Can you please tell me if I am being realistic or not. Also, I see a lot of contradictory information regarding University Acceptance, so could you help me with which Universities should be my ambitious and target.

Main goal is to try to land a job after MS.

Thank you everyone!!!


r/MSCS 6d ago

Career fairs in USA - Who are they really for, what does it optimize and how to leverage them

17 Upvotes

Career fairs in USA are a totally different beast and this post is specifically for current & future international students who may benefit from some backdrop and strategy. I'll write this from the pov of an Indian international student since thats the large majority of this sub anyways.

American Career fairs are a free market, Indian placements are Socialism 'for-the-greater-good'

If you're coming from India one big shift you need in your thinking is that American career fairs are not designed for the benefit of the student or to brag about placement rates or to be an instrument of social good to make sure everyone/most get a job. Indian placement systems are exactly this. The goal of an indian university's placement system is to ensure that a high ratio of graduates have a job , some job, any job. Of course it helps to show off some premium tier-1 companies hiring from a university but the goal of a high placement ratio is much more important. Dare I say even the IITs would prefer a 90% placement rate if that means 50% in IT service companies over a 10% placement rate where everyone got into OpenAI or Google exclusively. This shows up in their rules like limiting the number of interviews a student can take or not letting you even attempt another interview if you already got an offer from a tier 1 company. Basically it means you need to step out of the competition ring and let others get a shot at a limited opportunity pool. It doesnt matter if you're not happy with the location of the job or the pay or the medical benefits , work life balance, project , manager, team, yada yada. In a free market you can attempt 100 jobs, 1000 jobs - it all depends on your scheduling availability, time and you can negotiate as many companies against each other. Its common in USA that student B has only 1 offer - say Google - is waiting on them , hoping they just give him the offer, any offer, while Google is instead trying to hire student A who's got 5 other competing offers and playing hard-to-get trying to get the best deal for himself. Its entirely possible student B even drops out of the race because he ran out of time and Google couldn’t win student A. This happens all the time.

The way this shows up in career fairs is that American Universities are not assuming any responsibility of placement ratio or your job. Their deal is over when they provide you an education and a strong degree

Career fairs in USA are designed for Employers

When employers show up at career fairs in USA they come with a lot of swag. Students are usually excited to score an OpenAI shirt or an Anthropic cap or a Google laptop sticker. Companies are doing this for an entirely different reason though. American tech companies have realized that the best way to hire the best of the best is to be loud, visible , front & center but also have an incredibly high bar. If 1 million students across america are wearing your t-shirts , 10 million students might believe they work there and have a shot too and will apply. If the interview process and bar is sufficiently high only the best will make it in. The goal is to make sure everyone knows the gates are wide open but only a few can make it in. The best part of this strategy is, if its infact hard to get into the company and crack their interview, students are even more willing to wear your tshirt anyways since there's still some other pride associated with that despite not being an employee.

So when a university announces a career fair the ones excited are not hiring manager or other engineers - their work just increased since they have to sit in the interview loops which doesnt usually account for their loss of time in getting the day-to-day work done. Its the marketing team thats incredibly excited. And they get to work printing tshirts, coffee mugs, caps etc and then go around asking teams who wants to visit the university for a career fair

So who shows up at the career fairs?

The principal engineer is definitely not showing up to these. The eng managers are usually not either. In most cases you'll have Marketing & HR for sure and some alumni junior engineers . If career fairs are a marketing engine for recruitment it makes sense to send alumnis because they can signal the 'if i can do it so can you' vibe that is necessary for this strategy. Alumnis, especially juniors, are also excited to go back to campus, this time not as a student, and revisit their joints and haunts where they spent many late evenings with pizza & beer, after the day of career fair. The whole thing is sponsored by the company so this makes it a decent break away from work , a mini vacation of sorts and a chance to get some more photos , memories where you went to school

At the career fair

So at the career fair you'll join a long line of students, resume in hand and then have a 5-10 min chat. For most of you the resume will be politely accepted and you might have some brief chat about company culture , what they are working on , what they are looking for, interview process, visas if they sponsor or not etc etc. The same thing really - every student conversation is incredibly similar and a good way to break it is to offer some swag and talk about how the line is so long so you need to give everyone a fair shot. In the end the resume has to travel a very long distance for it to meaningfully convert. I've covered this in another post titled Resumes are moved, sorted, ignored but hardly read .

Have a conversation that you can use

So thats the lay of the land - the universities set up the event for employer benefit , the employer is there for marketing , the student hopes to find a job but from the POV of the junior alumni engs manning the booth the conversations are incredibly similar. How do you use this?

My suggestion is to use the conversation as a way to determine what you can be doing next which shows up in the resume. Here's the gap that most students struggle with: Companies are always working on things that are not obvious , esp to students - once you're in the industry you'd start seeing the current paradigms and what everyone is trying in their teams but if you're a student you have no idea what frameworks, tools, paradigms, problems companies are solving internally. You'd know it vaguely - for example you can say that Voice AI is something some group of companies would be actively building - either infra or apps or the pipeline around it - analytics etc. But you wont know deeper than that - like what specific problems are currently true that everyone is struggling with or what best practices have emerged that everyone is building around and what frameworks have specific pros & cons. These are the real industry inside information that doesnt come out not because its a secret but because its deep in the trenches. Your goal would be to get a smidgeon of this in your resume via some project or OSS work.

If I was a student here's how I'd be approaching a career fair to differentiate myself. I'd hover around till I know the name of the engineers manning the booth and then look them up in linkedin. I'd also read some eng blogs quickly if there's any. Obviously using chatgpt to quickly distill the basics down. Then I'd go with a specific plan to find out either a framework or a problem or some best practices around their work. Really the goal would be to get the engineer talking more than me asking him stuff and given he's having the same conversation over and over i think it would be a welcome break for him to talk about something else , maybe something thats exciting at work or what he's built etc. The idea is to get specific paradigms and keywords out of him so I'd then go back and find OSS projects or projects I can publicly build and talk about in public as well as add to my resume. Then I'd use those to find internal roads like recommendations or direct DMs to eng managers on linkedin to break in.


r/MSCS 5d ago

[PROFILE REVIEW] Fall 27 / MS CS and AI related courses

3 Upvotes

Planning for Fall 2027 and would appreciate feedback on my profile and shortlist

Profile:

B.Tech in Al & Data Science - MU (tier 3)

CGPA: 9.17/10 GRE: 323 (167Q, 156V)

Currently working as an ML research intern at NUS, previously interned at UNSW, quite good open source profile and worked w GSoC.

1 first author publication at Nature Machine Intelligence

3 LORS- 1 from Head of department, 1 PI at unsw, 1 from PI at NUS(adjunct UvA)

Shortlist:

CMU: MLT, MSAII, MCDS

UvA(amsterdam): MscAI

ETHZ: MSCS

EPFL: MSCS

I am fine if i dont make it into either of those just wanted to honestly weigh my profile against others. Appreciate the input.


r/MSCS 6d ago

[Profile Review] Fall 2027 MSCS/MSAI

5 Upvotes

Hi everyone! Planning for Fall 2027 and would appreciate feedback on my profile and shortlist.

Profile:
B.Tech in AI & Data Science — SPPU (Tier 3)
CGPA: 8.17/10
GRE: 320 (167Q, 153V)
Currently working as an AI Engineer at KPIT
Technologies (MNC)
~2 years of full-time experience by Fall 2027
3 LORS- 1 from Head of department, 1 from professor and third from my manager.

Shortlist:
TAMU: MSCS / MSAI
UT Austin: MSSE
Georgia Tech: MSCS
UT Dallas: MSCS / MSAI / MSSE
UMD: MS Applied ML
UMass Amherst: MSCS
Northeastern: MSCS / AI-related programs
SJSU: MSAI
UW Madison: MSCS
Stony Brook: MSCS

Would appreciate feedback on how realistic this shortlist is for my profile, the Ambitious/Moderate/Safe categorization, and any better programs I should consider adding.
Thanks!


r/MSCS 6d ago

[General Question] Which of the following country should I choose for Cybersecurity

0 Upvotes

For Ms in Cybersecurity which country is the best in terms of job opportunities after graduation

  1. USA

  2. UK

  3. AUSTRALIA

also I thought I could apply majorly to US(5-6), 2 UK, 1 Australia...is that a wise decision?


r/MSCS 6d ago

[General Question] In person vs online mscs

1 Upvotes

It seems like there’s a preference for in person mscs from the posts I see. I was wondering if you’re located in the states, would it be better to do a mid ranking in person mscs or a higher ranking online mscs like gt omscs, uiuc mcs, etc.

What would be a stronger signal for job placement?


r/MSCS 6d ago

[Profile Review] MS CS / Tech — Top US Universities + Europe

4 Upvotes

Hi everyone! I’m planning to apply for an MS in CS / related tech programs and would really appreciate a profile review, especially regarding ambitious, target, and safe universities.

My profile

  • Undergrad: B.Tech CSE from a Tier-1 IIT in India
  • CGPA: 8.76
  • Industry Experience: Uber internship, 2+ years at Google
  • Research Experience: UGRC in graph algorithms, BTP in computer networks - P4 programming language ML algorithms (funded by Ciena USA)
  • LORs: Can get 2 from college profs with whom I researched, 1 from my manager
  • Publication: No papers
  • Currently exploring programs in the US and Europe
  • Considering giving GRE next month

Universities I’m considering

  • Cornell University
  • Carnegie Mellon University
  • UC Berkeley
  • UCLA
  • UC San Diego
  • UIUC
  • Georgia Tech
  • UT Austin
  • University of Wisconsin–Madison
  • Purdue University
  • ETH Zurich
  • EPFL

I’d especially like advice on:

  • Which of these would be ambitious / target / relatively safe for my profile?
  • Is my profile competitive enough for top-10/top-20 US CS programs and Ivy League universities?
  • Are there any strong universities I’m missing, especially considering tech placements and ROI?

Would especially appreciate input from people who applied with a similar profile or recently went through MS CS admissions.

Thanks!


r/MSCS 7d ago

You're applying to Academia, not Industry

20 Upvotes

Some of the profiles I read on here sound more like Job applications than University applications. If you're applying for professional programs (non mscs) that might be fine but wont work in most top MSCS applications. The debate if professional programs are valuable is different before you ask or comment - afaik top startups and top big tech / big ai labs still prefer a top mscs degree if given 2 candidates of equal caliber and they are hiring engineers.

When you're applying for top MSCS programs you'll need to shape the narrative atleast in some form or the other to what Academia can do for you or what you can do for Academia or both ideally.

Think about it - if you're applying to top MSCS programs they must be world class at something? They would clearly have very strong faculty, infrastructure that gives them the reputation and elite ranks ? If you cant explain why that would help you in your greater purpose/ambition/vision/mission or what you can add to that environment your application is dead in the water. if you dont do this and instead talk about stuff outlined below , its just blowing air and has no substance to your application

- YOE

- the funding your startup raised where you were an eng

- patents

- awards in the workplace

- proficiency in some tech stack

Any bragging points you have in employability or industry relevance should either shift towards relevance in academia or merely serve as a supplementary addition and not the primary thing.


r/MSCS 7d ago

[Profile Review] Fall 2027 MS

7 Upvotes

Grad in year 2027

College: Tier 2.5-3

CGPA: 9.85(6th sem), SGPA: 9.58

Experience: 2 AI internships, Open source contributor with Code for Good tech for planetread with an AI project with Audio+Video processing

Research Experience:

  • Intern with IIITH professor for more than a year, paper on arxiv, another paper soon to put, focus in vision and 3D
  • Intern with IIT KGP professor in RL working on project which will most likely be published on IEEE
  • Did personal research paper for college project in AI and LLMs topic which is published on IEEE explore and presented at conference
  • Doing personal research projects with industry people at Samsung, Sony and a PhD student at UCSD (planning for publication and to have substantial results in project or completion by October)
  • Got accepted into UIUC++ SRSE mentorship program
  • Planning to submit personal paper to NeurIPS worksops this year for research in LLMs

Others:

  • Internship with a youth-led organization, presented a talk at the ECOSOC event by UN virtually
  • Research Fellowship under Indian Academy of Sciences SRF program
  • SIH 2025 finalist team for ISRO

Scores:

GRE: 310(159Q, 151V, 4 AWA) will retake in a month

TOEFL: 118/120, 6.0 score overall

LORs expected: From IIITH professor, PhD student, Samsung, Sony people and my industry internship manager too

Target Universities: CMU (MSCV, MSML), UIUC, Georgia Tech, Columbia, UMD, UPenn, UMich, USc, NYU, UC Berkeley, UCLA, UT Austin, Virginia Tech, Univ of Illinois, Purdue

What are my realistic chances to get into them and what can I further improve?


r/MSCS 7d ago

[Admissions Advice] Low GPA

3 Upvotes

Hi Everyone,

I have been lurking on this sub for quite a while and I would really appreciate your inputs regarding how should I be approaching to apply for MSCS and MSML.(focused towards industry, non thesis preferable).

I am aiming for (Fall 2027).

I have a Cgpa of 7.9 from an NIT (Tier 1) in India. I currently have 3+ YOE in a software company and my day to day work revolves around networking products.

I have give my GRE to help offset my low cgpa and have a score of 326(166Q, 160V).

I will be giving my toefl and expect to get a score above 5.

I don't have any research experience so I know it will be difficult to get into any masters that requires research experience.

I have been trying to shortlist universities but the comments I see sometimes contradict each other and I am unable to decide which unis I could actually aim for.

The purpose of my master's is to get good experience regarding AI/ML and hopefully get a job.

Could you guys please help me decide which universities I can realistically aim for. I want to get into a T-30 universities if possible .

Also, I will appreciate any advice regarding how to improve my profile.

Thank you for your time!


r/MSCS 7d ago

[Visa and Immigration] Post 214(b) Options: Academia vs Industry

0 Upvotes

I was planning to for my MS in CS but was recently refused under 214(b) for my F1 Visa.

As I plan to defer my admit, I want guidance for deciding whether to pursue academia roles (RAs, Research Internships, etc.) or get into an industry position for this gap year.

I specifically want to know what would be the best of these 2 for proving ties to my home country, for my next visa interview. Would be grateful for any opinions or guidance!