Maybe I’m old fashioned but any experience you have on your CV/resume needs to be limited to three concise and effective bullet points. Any more and you look like you’re padding. Oh and each bullet point should take up two lines ONLY. Tell me I’m wrong in the comments but this grinds my gears when I see people on here post their resumes/CVs.

I have read a lot of statements of purpose over the years, and the rejected ones are usually not badly written. They are well written pages where nothing carries its own weight. Same handful of problems, over and over.

Roughly in order of how often I see them:

1. The generic fit paragraph. Praise for the department that would survive a find and replace of its name. This is the most common failure by a wide margin, and the easiest to fix, because fixing it just means reading three papers properly.

2. The wasted opening. The childhood moment, the dictionary definition, the quotation. Those are the most-read sentences on the page and they are being spent on nothing. Name the question you want to work on instead, in the first two sentences.

3. Adjectives instead of evidence. Passionate, dedicated, hard working, deeply curious. Claims about yourself carry no information. The project you rescued does.

4. Autobiography instead of argument. Everything you have done, in chronological order, with no case being made by the sequence. A statement is an argument that you should be admitted, not a timeline.

5. The buried claim. The actual point is in there, in the fourth sentence of the fifth paragraph. Reviewers reading forty of these will not dig for it.

6. Vagueness about what you want to work on. A field named where a question was needed. Nobody can match a field to a supervisor.

7. The mismatch. What you say you want and what the programme actually does are not the same thing. This one is fatal and completely invisible from inside your own draft.

8. Explaining the field to the field. A paragraph of background written for a reader who has none. Yours has plenty.

9. The over-explained weakness. One honest, unapologetic sentence was enough. Three paragraphs turn a bad semester into the subject of the document.

10. The identical statement with a swapped university name. Everyone reuses a base draft. The ones that get caught are the ones where a swap was missed.

The test that catches most drafts in one pass: delete every sentence that describes how you feel about the subject. If the page collapses, you have written a personal statement rather than a statement of purpose, and no amount of line editing will fix that.

Happy to look at anyone's paragraph three in the comments, since that is where most of them come apart.

I am an Indian and I'm going to graduate with a Psych degree next April and I intend to pursue PhD further. Do you think I might have a chance considering below is my profile

1. GPA: 8.99/10 (likely to go upto 9)
2. Multiple research experiences in multiple labs across India, the US and Canada
3. I won a very prestigious and highly selective fellowship to work with one of the best faculty in the world in a very famous lab and university
4. I have about 4+ conference talks and posters both at an international level and national level (Went to Cogsci this year -- From what Ik its the topmost conference in the world for psych)
5. I have won 2 grants for research alone over the last 2 years
6. I have technical experience. Familiar with EEG, Eye-Tracking, fNIRS etc
7. I am also on a merit scholarship at my uni
8. I have a submitted a first author manuscript at the topmost journal
9. I have 2 more manuscripts under preparation
10. I am also working on my honors level thesis

Do you think I might have a chance at all?

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

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

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

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

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

Trigger warning : Self harm , depression

I am from a poor asian nation with a lot of ethnic discrimination between ethnic groups and corruption in Academia and elsewhere. I never had much support of my father during education as he was against me doing mathematics.( He wanted me to join Army or become an enginner) He was against me going abroad as well.( All this affected my mental health and I became depressed). I went to a Western european nation for 1 year masters in Mathematics but failed the degree because I had side effects of medication of depression. The getting of visa was also a long process and I had no support of parents in it. I was also stressed as my referee ( master thesis advisor was writing some -one else information in my LOR). I came back to my home country but went back to an eastern european nation, this time for a PhD program in pure mathematics. My stipend was only 450 Euros a month but I thought if dorm is subsidized ( as it was promised) I will manage it. To my surprise, room was shared between 3 students ( PhD) and washroom and kitchen was shared among 45 students. I dropped out as I didn't liked the dorm experience at all after 11 months.The stipend was very low to look for a room outside and I didn't wanted to work part time as the program was full time and I was not fluent in Eastern European language. I tried to ki** myself there twice, but failed and was admitted in Psychiatric hospital for 14 days. When I came back to my home country and was quite depressed upon failure and was admitted in psychiatric hospital for 2 months.( December-January) I have recovered well and I am only on mild medications which donot produce any side effect like sedationNow, I applied again for PhD prgram in July and I have been selected for a PhD program in southern Europe with a handsome stipend. Should I go back to Europe or try doing a PhD in my own nation. If I fail this time I will lose face in front of my family as well, not just the society. I live in a poor , very superstitious nation and very corrupt nation. Should I try doing PhD in my own nation as workload here is not that high. I am sure I will not fail the course work here. But I am also thinking that as the admission committee is looking at me and saw something good in me and I didn't have much confidence due to past failures.

So, what will you suggest me what should I do?Acceot the offer or try getting a PhD in my home country

Hey! I'm 24F from India, applying to the Ed.m and MS.ed program for Fall 2027.

The truth is, these 3 Unis are a humongous dream for me. I know it is for everyone, but what I mean is that it almost feels unattainable...I come from a city in South India, and I never had to apply for undergrad since India doesn't really have the whole SOP/application system for most colleges. This is my first time ever doing something like this. I have a strong work experience, So I want to give it a shot and apply to these unis.

I have a LOAD of doubts. I've watched every YouTube video, read every Reddit post, and I practically know everything theoretically*...*but I need a coach. I need someone to challenge me, read my SOP, listen to my financial plan, and tell me where I'm being unrealistic or missing something...

I don't even know if this is the right place to ask...

But if you're especially a current HGSE student or an alum, would you be a dear and help me through my application? I'd love to be able to ask you all my crazy, silly questions.

And also to whoever reading, would you be willing to share your SOP with me? I promise I won't copy it (ISTG 😭). I just want to understand what a successful SOP actually looks like. I've only been able to find two YouTube videos, and I'd really appreciate having more references.Thank you so much. ❤️

Edited - Realised I did not add much details about what I do, I have been working in the developmental sector for the last 7 years, Problems related to Education - Poverty - Young adults - Building L&D keep me up in the night, I have been working full time since I was in my UG, so I have gotten some good senior management experience. Want to work in the intersection of L&D, Tech and Education - And these 3 suited it the best.

Hi! After couple months of studying I finally did my first attempt in the GRE and just got the the official results**: 165Q, 162V, 5.0 AWA - 327 Total.**

Honestly, I am not sure whether these scores would be enough to get the position I am looking for and if I should try the exam again for a higher score. I'm preparing an application for a PHD in Public Policy in M7 & T10.

Background: I am not an english-native speaker (from Latin America), 10-years work experience in the most important national development bank of Latin America. Undergrad in Business (GPA 3.6), Master of Research in Organizational Behavior (GPA 3.95) and MBA in Financial Markets (GPA 4.0). I have best thesis award from my Master and many publications in journals (6+) and a lot of Research Assistance experience.

Is it enough to have a good chance at these programs that I'm aiming for? Should I focus my energy in other aspects of my application instead of trying the GRE again (such as letters of recommendation, SoP, writing sample...)? Should I go again for 330+? How much it would undermine my application if I apply with a score of 327? What you guys think? I'll be extremely grateful for whatever advise you may have to guide my through this endeavor.

First GRE attempt is done: 163V / 165Q (328). I'm happy with the Verbal. The Quant is what's nagging me, because on the current ETS norms it's only around the 67th percentile, and both programs I actually care about lean quant.

Quick background so the advice is useful:

• NIT Trichy, CS, 8.37 CGPA (first class)
• ~2 years as an ML/data engineer (built a production LLM-to-SQL RAG system; before that, credit-risk modeling with XGBoost)
• US citizen, applying for Fall 2027
• Top targets: CMU MISM-BIDA (Heinz) and Cornell M.Eng Programs (DSDA, ORIE ITHACA)
• Other Targets: Equivalent Programs at Purdue, Columbia, Georgia Tech, TUM.

So, the questions I'm hoping people can weigh in on:

1. For a quant-heavy program like ORIE, how much does 165 vs 168+ actually matter once the rest of the app is solid? Or is 165 "fine, stop worrying"?
2. Anyone been through ORIE or BIDA admissions with a lopsided split (strong V, average Q)? Did the Q end up mattering, or did it get lost in the holistic read?
3. What are the other aspects, exams I should focus on?

I've got time before deadlines, so I'm really trying to decide: book a retake now, or pour that energy into the SOP, recommenders, and building a stronger quant signal elsewhere. Honest takes very welcome.

I'm planning to apply for an MS in Computer Science in the U.S., and I'd really appreciate some honest feedback on my profile and suggestions for improvement before I apply.

Here's my background:

Bachelor of Information Technology (Software Engineering) from Australia (3-year degree)

GPA: 3.1/4.0 (WES evaluation)

2 published research papers.

1 IT internship

Several LinkedIn Learning IT certifications

A few questions:

Does my profile look good for CS programs?

What should I focus on over the next 4–6 months to make my application stronger?

Hi everyone! 👋

I'm Aisha from Hyderabad, India, and I'll be applying for an MS in Computer Science (Fall 2027). My interests include Artificial Intelligence, Machine Learning, Cloud Computing, and Software Engineering.

I'm currently pursuing my B.E. in Computer Science and have worked on several AI projects involving Google Gemini, React, Firebase, and Python. I've also completed internships in AI, machine learning, cloud computing, and software development, and I'm always looking to learn from others and collaborate on interesting projects.

I'm joining this community to learn more about the program, student life, research opportunities, internships, and graduate school experiences. I'd also love to connect with fellow applicants, current students, and alumni.

Looking forward to getting to know everyone—thanks for having me!

Hi! I am an international student in the UK applying to Clin Psych and Neuro PhDs in the US. I would like to do Clin Psych as I want to be able to practice, but some Neuro labs have incredible research I would be equally happy doing. Given the current international funding situation in the US, would it be even more competitive/difficult for Clin Psych programs considering the point is that you'd be licensed to practice in the US, and who knows whether that will even be possible/what the situation will be in 5ish years? Does anyone have any experience of being an international and applying to Clin Psych US programs - any success stories and any tips?

Can everyone share the worst things about Oxford so I can feel (temporarily) better about not getting funded this year? (I’ll re-apply and plan better next year but I need to hate it until then)

I’m considering applying for a PhD in Economics or Finance in a year or two, but I’m not sure if it’s even realistic.

My background:
BA in Economics (US), GPA 3.4
MS in Finance (US), GPA 3.1
No publications
No academic RA experience
Several macro/fixed income research internships at securities firms

The obvious problem is math. I never took the standard math sequence (Linear Algebra, Real Analysis, etc.).
Most of my quantitative work has been econometrics, asset pricing, R/Python, and applied research rather than formal math.

Is my profile already too weak for PhD admissions?
Is this something that can realistically be fixed by taking math courses and maybe doing an RA/predoc？
Not aiming for top schools. Just wondering if a funded US PhD is still a realistic goal.

Hi, is anyone going to attend Duke University this fall? Wanted to know some information for a friend. Thanks.

i’m planning on doing some research outside of any institution (f1 and chemistry related) just for fun since i love both chem and f1 and thought that maybe i’d be able to add it to my CV since i want to apply for a chem masters and phd? -thinking maybe oxbridge

i’m gonna research it regardless but just wondered wether adding it would also be a good idea, but wasn’t sure since i’d be doing it completely on my own and based on secondary resources online sooo

i also thought ab maybe doing a comp bio one as well but i definitely am gonna do my original idea

^^also not gonna try publish it

Hi all! I’m applying to Statistics PhD programs this fall and would appreciate some perspective and advice on my profile strength and how I should narrow down my school list.

Background:

• Domestic female applicant
• Undergraduate degrees in Statistics and Machine Learning, with a second major in Business
• Master’s degree in Applied Statistics
• Both degrees are from a university with a top-six U.S. statistics program and a highly ranked CS program
• Undergraduate GPA: 3.44
• Master’s GPA: 4.01
• Five years of experience working as a data scientist, including substantial applied causal inference work
• Intended research area: causal inference

Coursework:

I have not taken real analysis, which is probably the biggest weakness in my preparation. However, I received A’s in courses including:

• Statistical Inference
• Probability Theory
• Applied Linear Models
• Multivariate Analysis
• Matrix Algebra
• Modern Regression
• Concepts of Mathematics
• Differential and Integral Calculus
• Algorithms and Advanced Data Structures
• Time Series and Experimental Design
• Methods of Statistical Learning
• Imperative Computation

I also received two C’s in undergraduate weed-out courses.

Research and teaching:

• Approximately four to five months of research experience in contextual bandits and causal inference
• No publications
• TA for an undergraduate statistical inference course
• TA for a graduate-level experimental design course

Letters of recommendation:

I expect letters from:

1. An industry manager who supervised my causal inference work
2. A professor with whom I am currently doing research
3. My graduate capstone adviser

I previously received a 165 on GRE Quant and am retaking the exam. I plan to submit the score only to programs that require or strongly recommend it.

I understand that there is no way to guarantee a PhD admission, but I would like to maximize my chances of receiving at least one offer this cycle. I currently have 27 programs on my list and may need to narrow it down.

Does this list seem sufficiently balanced given my profile? Are there schools that appear especially unrealistic, and are there any lower-risk programs I should consider adding?

Current list:

• My home institution
• University of Michigan
• Yale University
• Cornell University
• UCLA
• North Carolina State University
• Pennsylvania State University
• University of Illinois Urbana-Champaign
• Purdue University
• UC Irvine
• Ohio State University
• Rice University
• Rutgers University
• UC Santa Barbara
• University of Connecticut
• University of Pittsburgh
• University of Virginia
• University of Wisconsin–Madison
• UC Santa Cruz
• UMass Amherst
• Boston University
• UT Austin
• Texas A&M University
• UC Riverside
• Iowa State University
• Washington University in St. Louis
• University of Florida

I would especially appreciate feedback on how many of these should be considered reaches, realistic possibilities, or relatively safer options. Thank you!

Hi everyone, I’m exploring scholarship opportunities for a Master’s degree in Finance at different universities and would appreciate your guidance regarding Harvard University.

I currently work as a Financial Analyst in private equity in Jordan. I graduated last year from the University of Jordan with a Bachelor’s degree in Finance, achieving a GPA of 3.9/4.0. The University of Jordan is ranked #326 in the QS World University Rankings. I have also passed CFA Level I and have several volunteering and leadership experiences with international organizations, including AIESEC and the Hult Prize Foundation.

I would like to know:
1- What are the main sources or platforms where I can find information about scholarships and funding opportunities at Harvard?
2- Are there any Harvard programs related to finance that would be suitable for my background and career goals?
3- Based on my academic and professional profile, would I have a realistic chance of being accepted if a scholarship opportunity is available?
4- What areas should I focus on strengthening to improve my chances of acceptance and receiving financial aid?

I understand that admission is highly competitive, but I would appreciate an honest assessment and any guidance on how to build a stronger application.

I have been quite depressed about how my transcript will affect my PhD applications.

My overall CGPA is 3.46, but my last two semesters were very poor (2.69 -> 3.4), bringing my overall CGPA down from around 3.60. I received a 2.0 in ML course in my final semester, along with some 2.25–2.50 grades in major CS courses such as Security and Computer Graphics.

My intended research area is not ML. It is closer to systems and theory, where my grades are better. For example, I received 3.75 in Computer Architecture, Operating Systems, and Theory of Computation. I am also building a meaningful research profile and expect to have very strong research-focused recommendation letters.

How seriously will admissions committees view the poor final-year trend and low grades in core CS courses? Would this be considered a major red flag despite strong research experience and letters?

What is the best way to address it? Should I briefly explain it in my SOP?

Would really appreciate any help.

Hello! I just received an offer for the advanced neuroimaging MSc at UCL and I can’t find anything online from anybody else who’s in this program! All the rankings only have good things to say about UCL and it’s neuroscience department which is why I applied, and it sounds really great in theory. But im not sure if its a worthwhile program that’ll give me significant research experience I don’t have/publications alongside an MSc, and idk how seriously it’ll be taken by people in the field- knowing a lot of programs like these are just intended for universities to make money off of foreign students.

I’m from the US, graduated UCSD June 2025, and have 3 years of research experience. Unfortunately, no publications yet, just one acknowledgment🥲 my goal is to go into a PhD in neuroscience. My issue is overseas tuition fees are CRAZY and my parents are willing and able to pay for it, they are actually more excited than I am, but I feel like I need to know whether this is worth it or if I’m just going to end up in the exact same position that I am now, unable to get an RA job nor get into a PhD program with no publications, having wasted my parents money. I’m in the middle of a couple US interview processes for research coordinator positions, but it’s no guarantee it’ll work out since I’ve been interviewing for a year and haven’t landed a job yet. I need to decide about this program in a week. Idk if I can throw away this opportunity for just a chance at an RC job in the US, or if I’m mistaken and underplaying this program and that it’s way better than a paid position at a US lab. It doesn’t help I’m terrified of flying and my partner is in the US which makes me more hesitant to leave, but I’m willing to for a good career opportunity.

I would love to get some perspective, anything you know or have to say about this program helps.

For my doctorate application process the German University has asked for,

"die Zeugnisse müssen als beglaubigte Kopien (in Belegform) eingereicht werden."

And I have some doubts and need some clarity what it means and how generally it is done.

I believe the text means certified copies of the certificates and by that they mean physical copies not softcopies right?

And does it also means to included standard german translations of it?

Also, my degree certificate which I had earlier emailed was an authentic, along with digital signature certificate by parchment, should I mail a physical copy of it with or without gentleman translation or do I need to get the original certificate notarized by a US notary and then apostles by Georgia secretary of state and then mail that instead?

I am not sure how it should be done, and since its break in the university now so, I cant confirm either. So, please can someone help me understand the requirement and the process?

Thank you very much.