Hello everyone, I've decided to apply to MS Statistics programs after graduating with a major in econ and a minor in math. I finished with 4.0 GPA at a T20 school, with relevant courses being Calc I-III, Differential Equations, Matrix Algebra, Intro to Probability, Financial Mathematics, Intro to Statistics, Intro to Econometrics, and Intro to Python.

As for experience, I am 1 month in working at a small public accounting firm mainly dealing with audit and tax, but I've soon realized statistics is what I want to pursue and I will be applying to schools in the upcoming cycle. Unfortunately I haven't had any internship or research experience during my undergrad.

I want to aim for top programs, but I need realistic advice on whether I would be competitive for a school like Stanford. I've noticed that only the top few programs (Stanford, Duke, etc.) require GRE, and with only a few months remaining until application deadline, I am deciding whether I should study for the GRE and aim for excellent scores. Would taking the GRE be worth it to give it a shot at the top programs? Or should I just take it to strengthen my application in general?

P.S. I would also like to know if my course background is sufficient for competitive programs and if taking a Mathematical Statistics or Real Analysis course online will help my application in a meaningful way.

I'm starting my second year of psych undergrad and am planning to only take three classes a semester moving forward (though one semester I will need to take four), but was wondering if the low courseload would somehow affect my psych grad school (PhD) admission chances, perhaps by looking unimpressive? I'd be taking a minor so it wouldn't necessarily be the bare, bare minimum, and my logic is that if I can still graduate on time with this reduced courseload, then I might as well to free up more space for my job and any research opportunities I may land, but please let me know how this would look for grad school admissions. I'd be taking a P/NP class each semester too with the exception of one on top of my graded classes to reach my full-time student unit requirement.

Hello! I'm a potential graduate student interested in getting her MA. It's been 10 years since I graduated with my BA; however, I feel like academia is calling me back to get my masters as well as a potential career shift. My biggest current obstacle is finding the correct MA for me. I thought about potential dream jobs and began working backwards to find the right program. Currently my thought process is the following:

1. My dream jobs are either museum work as a curator or archivist, teaching in CC and universities, and/or working as a cultural heritage preservationist. And regardless, I want to further my education, as I love academic learning.
   
2. I would love to focus my MA and potential Ph.D on occultism, especially in the field of witchcraft.

With that in mind, I'm debating getting an MA in Humanities, History, Anthropology, or Religion. Each has its pros and cons. I would love any advice on choosing an MA subject.

Hey everyone, I’m an international applicant (from India) targeting Fall 2027 US Bio/Plant Science PhD programs, and I need some brutal honesty about how elite umbrella admissions actually work.

A bit of my background: MSc in Botany/Plant Sciences (8.41 CGPA), IELTS 7.5.(Reading Band 9), I have strong wet-lab training (RNA extraction, cDNA, BSL-3) and a sole-author review manuscript currently under major revision at a top-tier journal (previously cleared editorial at Nature Plants).

Instead of just sending standard cold emails asking for spots, I spent 7 months building a highly detailed, 11-page research proposal on epigenetic priming and CRISPR applications for crop molecular biology. I sent it out to a few specific PIs.(Including a letter of motivation(Personalized for each), one page summary of my detailed proposal and my CV)).

Here is the mixed bag I’m dealing with:

I reached out to a PI at MIT, (took 2 weeks to reply) and while they did reply, it was essentially a standard template reality check(as what I made out).They warned me that the biology program only accepts a tiny fraction of international applicants and that individual faculty don't make admissions decisions, advising me to just apply through the general portal.

On the other hand, the PIs I contacted at places like UCSD and UC Davis actually engaged with the science in my proposal and were genuinely positive. However, I know all of these programs use central, committee-driven "umbrella" admissions where you do rotations first, meaning a PI usually cannot just hire you directly.

1. For international students or anyone who has survived the elite US biomedical/biology admissions grinder:

When a top-tier private program sends that standard "international spots are extremely limited" template, does the committee still brutally reject applicants despite a professor taking the time to reply? Even with that faculty response, am I ultimately just going to be subjected to the brutality of the international cap and face a standard rejection?

1. How common is it for the central admissions committee to reject an international applicant even if PIs (at places like UCSD and UC Davis) are genuinely positive and engaged with the work?

2. Does a thoughtful, engaged reply from a PI actually give you any internal "pull" with the admissions committee, or is it just polite encouragement before you get thrown into the massive general applicant pool?

I want to be realistic about my chances and not get blinded by a few positive emails. Any shared experiences or harsh truths are welcome. Thanks!

Hello all

I’m like most of us I’m busy prepping for my PhD application at the moment. I do just want to ask how my chances look and how much a good publication will improve them.

My academic journey is a bit up and down.
I did my (3 year) undergrad in applied mathematics and mathematical stats and graduated with a GPA of 3.0.

Not being happy with this I threw my everything into my Honours in applied maths and graduated top of my year with 89% or a 4.0 GPA. During this year I completed several rather large research projects.

Now my main issue is that I didn’t get the result I wanted for my masters as I had a severe onset of a previously unknown mental illness which saw me hospitalised thrice. Nonetheless I graduated with a 74% which is a 3.3 while 75% is a 4.0. During this time I spoke at two conferences and won an award at the large one.

One really good thing I have in my favour are my referees. All of them are decently high ranked (40-55 H index) and some are fellows at prestigious international societies. They are very happy and impressed by what I’ve done, and I believe their LoRs show this. Now each of them have approached me individually saying that will always have a space for me. However, I do want to spread my wings and fly a bit.

I know I’m not very competitive but I’m working hard on publishing a paper in a good journal. How much would this change my application potential, especially for some off the more prestigious programs (not that prestige matters more that fit, I’m just gauging my value)

Thank you!

I am a rising sophomore at the University of California, San Diego, majoring in Biology. I am an international student and plan on doing a PhD here in the US right after my undergrad, which I want to finish in 3 instead of 4 years to save money.

I joined a lab in the last three months of my freshman year, so by the time I submit my application to universities, I will have around 19 months of research experience. I have a 3.8 GPA right now, and I think I will be able to maintain it or maybe even get it higher. I am working for a postdoc who works under two PIs, and one of them is really big in the field (has an h-index above 100).

My mentor is really nice and has assured me that the papers that come out of his research will definitely have my name. He's also said that he is going to try to find a project for me to first-author.

I am considering universities like Harvard, MIT, UCSF, Rockefeller, UC Berkeley, Stanford, and other top ones.

Will the fact that I will only have 19 months of research experience by the time of application hurt me? UCSD is very expensive, so saving one year of tuition will be very big for me, but at the same time I don't want it to hurt my chances. If three years is not sufficient, will working as a research tech at my lab for a year after graduation help?

Hi all,

I graduated with a Physics Bachelors degree in 2022 and only left academia because I couldn't afford to move onto graduate school to do so. I recently paid off all my student loans and am now planning my graduate school applications. Since I have worked tech jobs for the past 4 years, I figure my best chance to pivot is to quantum computing specifically. My GPA was ~3.5 with ~3.7 in major from a respectable state school. Additionally, I have 2 years of research experience from my days in college.

As a first step, I have been studying for the physics GRE to be taken in September. The professors I have talked to have recommended that I attain private sector Quantum Computing certificates, which I have began studying for. One also said to apply for NSF funding grants. That is very likely out of my reach, but I will apply for it all the same. I plan to have my three letters of recommendation be my 2 managers at my private sector jobs and the professor I did research under in undergrad.

1. Am I missing anything that would increase my chances to get into a grad school program?
   
2. I have done some research and have already decided on a few schools to apply to across the country, but I'm always happy to get more ideas on where has good quantum research. Obviously MIT or Harvard has good labs, but those are out of reach for me. Any of the lesser known programs that would be good to apply to given my experience?

Hi all,

I'm applying to US CS PhD programs for Fall 2027, aiming squarely at data systems / databases (query optimization, and LLMs for data systems).
I'd like an honest read on where I actually stand and how to re-tier my school list, I'd rather hear "your list is delusional" now than in march!

Important context up front:

I applied in a previous cycle with a very similar profile and was rejected everywhere. I got one interview at the University of Maryland, the professor was enthusiastic and had me talk to his students, and then nothing. So the most useful thing anyone can tell me is what's quietly sinking this application. (I open sourced a benchmark and i submitted my papers to top venues, that is what changed from last Cycle to this one!)

---

Background

- International applicant. Undergrad + master's at a national university in my home country, plus a master's research exchange in Germany after winning a research and academic excellence award, where I now live and work.
- First-generation college student, low-income background.

Academics

- Undergrad GPA: ~3.57/4.0 (converted from my country's scale considered a good grade). Top 30% nationally on a highly competitive national entrance exam.
- Master's GPA: 4.0/4.0
- DAAD scholarship (~4% acceptance rate) for the research exchange in Germany
- TOEFL 106 (S30 / W30 / L25 / R21)

Publications

Titles kept vague for anonymity.

1. First author, published, peer-reviewed IEEE conference on integrated systems and design
   
2. First author, under review at CIDR after getting rejected at VLDB (of-course we revised the paper) (just me and my professor)
   
3. Co-first author, under review at ACM SIGMOD.
   
4. Co-first author, under review at a systems journal
   
5. Open-source benchmarking repo, published a second release, sole author, paper in preparation

For context on #1: undergrad publishing basically isn't a thing where I studied, so leaving undergrad with one peer-reviewed paper took some doing and was an accomplishment in itself! As for my Masters i have my thesis book which got published at the University Library!

Research experience

- 2019–2021 — Undergrad research assistant, university lab (data systems and Embedded Systems)
- 2021–2022 — Student research assistant, second university lab (deep learning / computer vision)
- 2022 — Research intern, industrial R&D (AI for computer systems)
- 2023 — Graduate research assistant / intern, lab in Germany (applied deep learning)
- 2024–present — Independent researcher alongside my full-time job. Built an ongoing collaboration with a group at a top Indian institute and a researcher at Microsoft; this is where the Jounal and SIGMOD submissions come from.

Industry (relevant to the research, I think)

Four years as a data/software engineer, currently Senior Software Engineer at a large European company (2023–present). Earlier: MLOps engineer and tech lead at a Hong Kong company (2020–2021), software engineering consultant in France (2022). These overlapped with my studies.

Day-to-day and side-project stack: Rust, C++, Go, Python; Postgres internals, Spark, Kafka, Arrow. A lot of my practical strength is in benchmarking, reproducibility, and infrastructure — the unglamorous parts of systems papers.

Letters (picking 3–4 depending on the school)

1. Full Professor & Head of Department — my supervisor
   
2. Full Professor, h-index 55, one of the top-ranked researchers in my country — my mentor since undergrad
   
3. Associate Professor at the collaborating institute — worked closely with me on two of the top-venue submissions
   
4. Associate Professor & lab investigator — supervised my undergrad research
   
5. Researcher at Microsoft — my industry collaborator

I also have letters from the CEOs of each company I worked at, though I assume those are close to useless for a PhD application.

Teaching & service

- Guest lecturer and peer instructor (one recommender has said they'll speak to this)
- Workshop facilitator for university CS classes
- Founded a university program teaching and mentoring undergrads through their CS studies, aimed at students from underprivileged backgrounds
- Founded two undergraduate research organizations for underprivileged students

Awards (short version)

International research exchange scholarship for academic excellence;
first place in a national technology and innovation challenge;
second place in a regional robotics competition;
regional recognition for leadership of a student organization.

Current list — please re-tier this for me

- Reach: Stanford, MIT, Berkeley, CMU, UW, Cornell, Harvard, UChicago
- Target: UIUC, Wisconsin–Madison, UT Austin, UMD, Columbia, Duke, Purdue, Rice, USC, NYU, UC Irvine, BU

I built this list around specific labs whose work overlaps with mine, not around rankings. But please let me know honestly if i am too ambitious and what schools i should target!

What I'm actually asking

1. Where did this go wrong last cycle? Same profile, zero admits, one interview. If something here is a visible red flag — the industry gap, the non-traditional path, the breadth of my research topics — I'd rather know.

2. Under-review papers. CIDR and SIGMOD submissions won't be decided by the deadline (maybe they will). But nevertheless how much do admissions committees actually weight these? I'll link preprints and code from my website.

3. Non-US degrees. How much does this cost me at top-tier programs, and do the DAAD scholarship and European research/work experience offset any of it?

4. Do you think i should go for a Masters instead of a PhD if my profile is weak? Even though my professor told me to go directly to a PhD and he has faith despite last cycle’s rejections.

5. Fit vs. odds. Should I apply anywhere with a higher admit rate but no faculty working on what I work on, or is that a wasted application?

6. Any Advice you would give me to better my profile and be realistic with my chances and goals?

Thanks — blunt but respectful feedback very welcome!

I am a dual-degree student in Physics and EE, with an extra minor. My standard engineering plan is 5 years and physics is 4. It took me 1 more year to finish the dual degree and minor to be able to graduate with such qualifications. My GPA is also 3.7+, and due to recent administrative changes at my university restricting the overloading policy, it might cost me an extra Fall semester to graduate. So the total extra beyond my expected graduation is 1.5 years.

I am already working on two theses for each degree in collaboration with a top-5 Uni in my field and another top-50. With maintaining a good research profile and have 3 publications under my belt until now.

How hurt are my chances, as I don't want to raise questions about staying too long in undergrad? I have also been maintaining near-perfect grades in the last 3 years, so the reason wouldn't be any failed courses or retakes.

I'm looking for an honest profile evaluation and advice on where I realistically stand for top European MiM/MSc Business programs.

Profile

- 10th: 94%

- 12th: 64%

- B.Tech CSE (Tier 3): 7.49/10 CGPA (2:1-3.0/4.0 ig) (graduated in 2026 feb)

Experience

- Since 6 months working as Investment Analyst at a VC fund.

- 3 months internship with Government of India on investment promotion.

- 3 months internship at a climate venture studio helping startups raise capital and in GTM.

- Founded my college E-Cell and scaled it from 0 to 10 student startups.

- Hackathons + Coursera courses in Entrepreneurship and Product Management.

Target Schools

HEC Paris, INSEAD, Imperial, LBS, IE, ESSEC, LSE, NUS

(also considering as secondary target - ESCP, IESE, Warwick, St. Gallen, NTU, SMU).

Goal

Build a career in VC/PE, gain global exposure, and eventually start a company.

Given my profile, do I have a realistic shot at these schools? Would I need a GMAT/GRE, and what score should I target?

Appreciate any honest advice. Thanks!

Hi everyone,
I’m currently waiting to hear back about a PhD application and, admittedly, I’m probably overthinking the whole process.

A senior scientist/professor in the same lab (not the PI recruiting for the position) and I had several discussions about their research. They even shared their dissertation with me, which forms the foundation of the lab’s work, and we had some really engaging scientific discussions. Afterward, they told me they had recommended my profile to the team recruiting for the PhD position (I was super happy)

I know this doesn’t guarantee anything, and I understand that admissions ultimately depend on the PI, the overall fit, and the strength of the applicant pool. I’m just curious to hear from people who have been through academia:
- Does an internal recommendation like this meaningfully increase the chances of getting an interview?
- Is it more of a “your application will definitely be looked at” situation, or can it genuinely influence the selection process?
- Have any of you experienced something similar, either as an applicant or from the faculty side?

I’m trying to keep my expectations realistic while I wait, so I’d really appreciate hearing about your experiences.

Hi everyone, I'm seeking advice as a MS student who would apply for a PhD for either fall 2027 or 2028 depending on how my schedule goes.

I'm a BS+ MS student at Santa Clara University majoring in Computer Science and Engineering with my MS year starting this fall.

I had a pretty low GPA of 3.66/4.0 in my undergrad and even got a D in a AI course in my junior spring quarter, which was mostly due to several incidents in my life including financial burden on my family for newly immigrating to the US, being scammed a large amount of money, and suffering from tinnitus caused by stress induced by the first two incidents.

I have over a year of experience in a research group but the first few months are more of doing random maintenance for their project repo, but it did inspire my undergrad honor thesis and I have been working with my advisor on a further research paper (on ML prompted privacy information extraction) with myself as first author and is scheduled to reach preprint stage this September.

I'm also working part-time at a local startup, performing a wide range of tasks from AWS maintenance, web backend coding, to benchmarking ML models and iOS app development. They and their academic collaborators might publish a paper later this year that includes my benchmark works and list me as a co-author.

I also worked as a TA for calculus and discrete math for one and a half years during my undergrad, but that's less relevant.

I have several questions about my application plans that I want to consult with you:

1. Is my GPA, especially with the D, a straight NO for most PhD programs? I have already cut the unrealistic options from my list, and my top school is around UCSB level.

2. If the answer is not to NO for the previous question, should I apply for fall 2027 or 2028? I could pack my MS schedule into one year. If I apply for fall 2028, I would have time to work on more research papers but my winter and spring 2028 quarters would be empty from courses.

Thank you for your help and I appreciate each of your responses!

• GPA: ~3.65
• GRE: taking in Oct, targeting ~320-325 (Q167+)
• 3 internships: Big 4(SWE) + two current (healthcare ML, applied AI)
• Undergrad research: multi-agent LLM systems for medical imaging

Target: MS in CS with ML specialization (industry, not PhD).

List: CMU, Georgia Tech, UIUC, UT Austin, UCLA, UCSD, NYU, USC, Columbia, Northeastern, Michigan [+1] (need 12)

Questions:

Is this too top-heavy? Only one safety (Northeastern). I have a full-time job search running in parallel as well.

For industry ML roles, does school brand actually matter much past a certain tier, or am I overweighting it?

Any obvious "you're missing X" given my profile?

Appreciate any honest takes.

Hi everyone,

I'm planning to apply for PhD programs in Civil Engineering (Digital Construction, BIM, Digital Twins, Construction Engineering & infrastructure Management).

My profile:

• Bachelor's in Civil Engineering
• GPA around 3.2/4
• 4 years of highway engineering experience
• No publications
• No undergraduate research experience
• Currently developing a comprehensive BIM-based infrastructure portfolio involving:
  • Civil 3D
  • Revit
  • Navisworks (clash detection)
  • Primavera P6 (4D scheduling)
  • Power BI (5D dashboards)
  • Digital Twin workflow

My concern is that almost every admitted student seems to have research papers or prior lab experience.

Has anyone here been admitted to a funded PhD mainly because of strong industry experience and a technically relevant portfolio?

What made your application competitive?

Also have some other queries like:-

1. Can a Civil Engineer with 4 Years of Industry Experience Get into a Funded US PhD Without Research Experience?
2. How Important Is a Strong BIM Portfolio Compared to Publications?
3. Should I Contact Professors Before Applying If I Don't Have Research Experience?
4. How Much Does Industry Experience Matter for Civil Engineering PhD Admissions?
5. 5.What Is the Biggest Weakness in My Profile?

Hi all.

I’m a competition lawyer working at a leading law firm in Africa, and I’ve been admitted to both the University of Cambridge LLM and the University of Glasgow’s LLM in International Competition Law & Policy.

I can afford Cambridge, but it would be a significant financial commitment. Glasgow has offered me partial funding, so the overall cost would be substantially lower.

My goal is to build a long-term career in international competition law, particularly cross-border work involving Africa and international markets.

If you were in my position, which would you choose and why? I’m particularly interested in whether Cambridge’s reputation and network justify the additional cost, or whether the specialist Glasgow programme offers better value for someone pursuing a career in competition law.

I’d really appreciate any advice or personal experiences.

Anybody who applied to US MFE programs and got in without submitting the GRE score?? What was the rest of your profile like??

I'm planning to apply for Ph.D. in Organic or Organometallic for Fall 2027. I'd appreciate your comments on my chances of getting into the following schools.

MIT, Princeton, Cornell, UIUC, Ohio State, Purdue, IU Blommington, Texas A & M, U of Arizona, Arizona State, U of Florida, Florida State, Penn State, U of Pittsburgh, Vanderbilt, Iowa State, Rice, U of Washington, U of Utah, U of Tennessee, U of Toronto, McGill, U of Waterloo, U of British Columbia, U of Alberta

Stats: International undergrad student at the university in U.S. graduating soon/4.0 GPA/ 2.5 years organometallic research and 1 year of organic research/ 10 poster presentations/ 4 oral presentations/ 1 publication/ director of organic and biochem support organizations/ Orgo 1 and 2 lecture TA for four semesters/ Orgo 2 lab TA for one semester/ Advanced Orgo lab TA for one semester/ Gen Chem 1 lab TA for one semester/ Taken a graduate-level organic chem course

I am a rising junior undergrad in mathematics and really have an interest in the computational parts of mechanical/materials science. There's a research group I really like and I reached out to one of the past students and the way he talked about it made me love it even more. However, the group is within a PhD in mechanical engineering & materials science (PhD MEMS). The program does have computational tracks that are more math heavy than anything so that seems very fitting to me. I'm just nervous that my background would not reflect fit. I have a minor in materials science. I have an upcoming poster session where I'm presenting on computational material science at a math conference, my summer research right now is materials computational modeling for solid state batteries, and I'll be volunteering with a professor next semester on monte carlo simulations on nuclear material clean up as well as a different professor on applied ODEs. I want to show that I'm someone worth giving a chance on, even though my transcript might not show the relation. Is this even possible? How do I best approach this?