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Found 126 results

  1. Hey New gradcafe user and prospective MS applicant for an MS in Operations Research / Statistics / Management Science for Fall 2018. Please evaluate my profile and whether I'm being too ambitious/do I stand a chance here? Key features of my profile - Low undergrad GPA, high quant GRE score, related work ex Here's my profile followed by an initial university shortlist GRE 324 - Q 166 (91st percentile) V 158 (80th percentile) (Might give again to offset low undergrad GPA) TOEFL - Yet to give Undergrad CGPA - 6.3/10 from the National Institute of Technology Warangal in Mechanical Engg - Top 10 India for engineering Work Experience - 3 years 1.5 years - Data Analyst for a Fortune 200 MNC (1 promotion) + 3 good projects - Quantitative Sales/Marketing analytics 1.5 years - Senior Analyst for a Loyalty Card company (jump in designation from previous org) Fair amount of projects on quantitative modelling work Research papers/Publications: None Certifications: 1. SAS certified base programmer 2. SAS certified statistical business analyst: Regression and Modelling 3. Machine Learning from Coursera Recommendations: 1. HOD from work - ex prof at a premier MBA school in India - Strong 2. Team Leader from previous org - Moderate 3. Professor from college - Moderate SOP structure: Considering that my weakest point is my undergrad GPA, I'll bring in a point about how I messed up the first year but post that my gpa has been increasing plus ever since starting work I've been really driven and talk about my projects as proof. Programs I'm looking to apply for: 1. Statistics (with electives from the CS department) 2. Operations Research Not applying for "Analytics" or "Data Science" masters because I feel such programs have breadth but seriously lack depth. Current university shortlist: 1. Columbia 2. University of Chicago 3. UCLA 4. Georgia Tech 5. University of Michigan 6. John Hopkins 7. University of North Carolina at Chapel Hill 8. University of Illinois at Urbana Champaign 9. Duke 10. Cornell Questions: 1. What is my profile like? 2. How would you categorise the above universities considering my profile as Safe, Moderate, Ambitious and reasons for the same? 3. Thoughts on the SOP structure?
  2. I will apply several graduate schools in US, would it be hard to get admissions from any of schools below? here is my profile Status : International / B.S degree in Industrial engineering in Top 10 univ in my country / Currently working for National Army as an info/signal officer (service in duty) Working/Research exp : worked as a research intern in school laboratory(Quantitative Technology Management) for 8 months (proceeded paper related to the project in the lab but didnt published) CGPA : 3.33 / 4.0 Major GPA : 3.66/4.0 (several schools want major gpa and my major gpa is lot better than horrible cgpa...) TOEFL : 103 GRE : havent taken but expect around V160/Q168/W3.5 Relevant courses : Multivariate Calculus(C+..... I shouldve retaken this) Probability theory(B+) Applied statistics(A) Quantitative analytics(A+) Data mining(A) Operations research(A+) Linear algebra(A+) Discrete Math(B+) .... and other many courses provided in industrial engineering at least better than B+ grade And below is my school list Stanford(data science) , Berkeley(IEOR) , Michigan(Industrial Eng) , Purdue(stat) , UIUC(industrial eng) , USC(data science) , GA tech(analytics) , Northwestern(analytics) UCLA(statistics) , NYU(data science) , CMU(Data science) , Washington at seattle(industrial eng) , Johns hopkins (applied statistics) I do think to get ad from one of them is difficult... should I add some safe school in the list? Im afraid I would get all rejection... I ll be waiting for your comment thank you
  3. HI , I am from a third tire college from India. Currently I have 6.8 GPA in 5 semesters. I know its quite low, what should be considered as decent GPA for getting in good Universities for Masters in Computer Science. What should I be doing to increase my chances for getting acceptance in decent Universities despite having low GPA. What Universities should I focus on for specialization in Machine Learning/Data Science. Thanx
  4. Objective: MS in Natural Language Processing related programs More Inclination towards Industry than a PhD GRE: 330 (170 quant + 160 verbal+ 4.5 AWA) TOEFL: 117 (R-29, L-30, S-28, W-30) GPA: 9.36/10.0 College: LNMIIT, Jaipur (Deemed University in India) Papers: 2 at CoNLL-2017 (Top-tier, view) {4th author out of 6} and ICON-2016 (National Level, view) {2nd author out of 2} [Both are in NLP] LORs: Yale Prof+Stanford PostDoc+LNMIIT Associate Prof Internships (all remote): Yale University (Resulting in CoNLL Paper), Nanyang Technological University (Resulting in ICON Paper), NCSR Demokritos and a startup More: Resume, LinkedIn, Github *Universities already finalized*- Stanford,CMU,Columbia,UPenn, UC Berkeley, UWashinton, USC *Only 1 quick point needs to be resolved* After extensive research, I've shortlisted these universities which I need to classify as Ambi/Mod/Safe. I've not received replies from popular profile evaluation platforms and hence need your expertise in the matter. If possible, could you also provide any specific points about why I should/shouldn't apply here- (Eg- Funded MS? Most Job Prospects? Good as a safety school?) 1) Harvard University 2) Georgia Tech 3) UT Austin 4) John Hopkins 5) University of Illinois Urbana Champaign 6) Cornell 7) UCLA 8) Princeton 9) UC San Diago 10) University of Michigan 11) University of Wisconsin Madison 12) Yale University 13) NYU, TAMU, OSU, ASU (Safety) 14) University of Maryland,College Park 15) Purdue University -Thankyou so much!!
  5. I will be sending in early applications within the next 20-22 days, for the Fall '18 in-take. The list is as follows: (NOT IN ANY PARTICULAR ORDER) -Carnegie Mellon (MS Computational Biology ) -IU Purdue Uni of Indianapolis (MS Bioinformatics) -UC San Diego (MS Bioinformatics) -John Hopkins (MS Biomedical-informatics) -Virginia Tech (MS Bioinformatics) -Boston University (MS Bioinformatics) -Georgia Tech (MS Bioinformatics) -University of Michigan Ann Arbor (MS Biomedical-informatics) -Northeastern University (MS Bioinformatics) -Indiana University Bloomington (MS Bioinformatics) -Rutgers (MS Computational and Integrative Biology) I would love to hear inputs on these universities.
  6. I will be sending in early applications within the next 20-22 days, for the Fall '18 in-take. The list is as follows: (NOT IN ANY PARTICULAR ORDER) -Carnegie Mellon (MS Computational Biology ) -IU Purdue Uni of Indianapolis (MS Bioinformatics) -UC San Diego (MS Bioinformatics) -John Hopkins (MS Biomedical-informatics) -Virginia Tech (MS Bioinformatics) -Boston University (MS Bioinformatics) -Georgia Tech (MS Bioinformatics) -University of Michigan Ann Arbor (MS Biomedical-informatics) -Northeastern University (MS Bioinformatics) -Indiana University Bloomington (MS Bioinformatics) -Rutgers (MS Computational and Integrative Biology) I would love to hear inputs on these universities.
  7. Hola! I am having a tough time selecting universities to apply to for MS -CS (AI / ML ). Tough cause I am trying to shortlist universities that will take me and are ranked in the top 50. Profile: GRE: 169Q, 158 V, 4 AWA TOEFL: 117 GPA: 7.2 ( 65% Mumbai university) 3-4 projects 2 years work experience (software developer) Please help me shortlist universities as safe/mod/ambi. Right now I am looking at - ASU, UC Davis, UCI, Virginia Tech, Indiana bloomington.
  8. MSCS admits

    Hi GradCafe! I recently gave the GRE General Test and scored: (Q:170 (97), V:155 (67), AWA: 4 (60)). As you can see the verbal and AWA scores are not top notch. I wanted to know what are my chances so that I can make an informed decision. I have a great GPA (3.988 / 4), doing B. Tech. CSE at a reputed college of India. I have a research internship and have also done some projects (one long research one) and small internships. I don't have any publications yet. I hope to get good LoRs too. The dilemma here is, I have been placed at a medium-high paying job to be started after my graduation. So my options are: 1. Give TOEFL, and apply for MS for Fall 18 2. Take the job and do for some years, and then apply for a MS/PhD later (this will add more work experience to the profile) 3. Anything else. The colleges I am currently looking at are UIUC, UWash, Cornell, Princeton and GeorgiaTech. Thanks
  9. In undergrad (mechanical engineering) I enjoyed doing research a lot, and from what I can tell getting a graduate degree is very helpful for getting into research jobs. I was looking at thesis-based MS programs . . . However I have a big problem with my app: my GPA. My cumulative GPA is 2.96, just under the cutoff for most grad programs. My major GPA is about the same so it's no help, and my last 4 semesters weren't that good so there's no nice upward trend. I had some mental health issues that got in the way that I've since done a lot of work on (I graduated almost 6 years ago) so I feel good about trying school again, but I know it's hard to convince admissions committees that you're ready. I wanted to ask if anyone else had experience getting into engineering MS programs with a less-than-impressive GPA, especially one that is under the GPA cutoffs like mine? What kind of schools did you apply to and what were the results? What helped, what didn't?
  10. To have a chance at a career in academia, a phd from a top 20 school/ amazing connections is pretty much required. My interests is in data science/ML, and to my knowledge the best professors are found in the top schools (would love other suggestions though). For an Phd applicant, my stats are pretty average, and wonder if I have a chance at been accepted at schools like Cornell for a Phd. If not, what are some Phd or Ms programs I have a shot at, which could feasible give me a shot at academia long term? Bio: I was pretty undecided as an undergrad when in regards to my path - started out with an unrelated major, ended up double majoring in CS. Did some volunteering and leadership stuff in my 1st 2 year, before doing an REU my junior summer at an unknown school. Did an industry internship this summer at a local company and realized I vastly preferred research vs working for a company. Doing research again my senior year with a new faculty at my school. GPA: 3.87 Gre: ?, but probably pretty high Current school: Ranked 50-100 in CS Recommendations: Average. 1 from a professor I TAed for (Tenured but completely unrelated), 1 from my REU supervisor (new associate professor) who works in a different field, 1 from my current adviser (new associate professor) who works in a mildly related field. Research: REU paper (doesn't really count), mentioned on a conference paper by REU professor. 2 brief stints of research (3 months each)
  11. Hello! I recently decided to go to a graduate school in bioengineering/biomedical engineering field. I've been doing some research past couple weeks on schools and programs but I'm still pretty lost. Not sure how much of things (stats and experiences) are required for PhD or MS in engineering especially someone like me, who only has biology background... Here are some info about me so that you can provide me better advice: Undergrad: top 5 public school in the U.S. Major: Molecular Biology GPA: 3.74 (do not remember but my science gpa is higher) GRE: started studying just today! Research experiences: Pathology lab (summer during undergrad years) 2 years at medical device company R&D lab (related to bioconjugates and nanotechnology, but not really hard-core engineering.. more of biological sciences area) AND here are the questions: 1) Do I need to have a specific research area that I'm interested in before applying to schools? I'm sure of some things that I don't want to pursue such as tissue engineering and regenerative medicine, but I am not entirely sure of what I want yet (currently, I am interested in biosensors (bio-MEMs), medical informatics, or biomechanics but I haven't had enough exposure to decide which to pursue) Will I be at a big disadvantage in application if i don't state my interest specifically? Or is it okay to have a general area? 2) And since I'm not entirely sure of the research area, would it be better to go for MS instead before deciding to go on with PhD? 3) I do have 2 years of experience in working at a medical device company as a researcher, but these are more closely related to areas I am not really interested in anymore... the company I worked at produces biosensors, but I was not part of that division and was not exposed to such technologies. Should I join engineering labs for some experiences? (I am not working anymore and have plenty of time for some experiences now... not sure getting them now is gonna help though) 4) If I choose to apply for PhD but did not get accepted, am I automatically considered for MS admissions? Or does it not work that way? 5) I don't see a big difference between bioengineering and biomedical engineering. Is there a difference in how these majors are perceived in the industry? Or does it not matter? Many of you might be wondering why i want to pursue bioengineering even when I don't really have specific research area that I am interested in. After being in an industry for a couple years, I figured that there are not many opportunities for a B.S. in biology to do. I've always thought that bioengineering was cool and I see a lot of potential in the field as I glimpsed a little bit of the industry through working in the company. And here I am! Any advices, comments, concerns, anything will be greatly appreciated! Thanks!
  12. Applying For MS in CS

    Hi I am from India (IIT) and will be applying to grad school this year. I have a decent gpa of 9.5+ and am interested in Machine learning and natural language understanding. Hopefully, will have one publication in mid-tier conference. I will be giving gre/toefl next month. Just wanted to ask what are my chances of getting top schools? What matters most -- research publications, academic honors, gre score? Any comments are welcome. Thanks.
  13. CMU is my dream school and i have read a lot about its programs online but i was hoping if anyone can share from there own experiences what particular things should i highlight in my SOP for admission into MS Mechanical Engineering at CMU. My Profile is Undergraduate: 3.77 / 4.00 (2nd in Department , Silver Medal) GRE: (166 Q, 154 V, 3.5 AWA) 320 IELTS 8 3 years industry experience in Machinery Diagnostics
  14. Switching to a CS masters in Canada

    Hello. I graduated from Stanford University after a MS in Chemical Engineering and failed to find a job. Reason - my major isn't the best when it comes to jobs. I have a good GPA (3.75/4.0) and did my undergraduation from a top univ in India (IIT-KGP) with a good GPA again (8.61/10.) I am considering switching to CS by the following route - doing assistantships with professors in various universities for a couple of years to get recos and then applying to Canada for an MS in CS. I have two questions. 1) Has anyone done something similar? I get the feeling that getting a prof to say yes to someone with no background is tough, but I see no other way to get my career in CS started. How difficult is it to get a research project with a prof in any decent Indian univ? I'm willing to go unpaid as well. 2) Do I stand a chance of getting into good univs? (Waterloo, UBC and the like). I don't want to go to an average university. Kindly help me out.
  15. My GRE score is 166Q and 154V. My Undergrad CGPA is 3.77/4.00 and have 3 years industry experience. Can anyone please share from their experience what are the things virginia tech looks for in an individual that I should highlight in my SOP. I intend to apply in Fall 18.
  16. NYU MS Data Science F17

    So it's already late March and browsing through the results it doesn't look like anyone's gotten a notification of acceptance or rejection? Has anyone heard an update yet?
  17. Hi, I'm a class of 2017 grad from UIUC's CS program. What type of schools would be a good fit for a MS in CS or Math or Stats? 3.00/4.00 GPA 170 Verbal 170 Quant 5 Writing - Internship at one of [Google, Apple, Facebook] - Full-time job in algorithmic trading starting soon at one of [Citadel, Jump Trading, Optiver] - 3 years of research done within U of I in the CS department, and at the NCSA (National Center for Supercomputing Applications) in HPC. I have one strong letter of rec I can get from a UIUC CS professor, and I could get more from my other research positions at school, but none that I feel were that great. What tier of schools should I be applying to for my MS? Open to and interested in CS, Applied Math, or Stats. May be able to join the professor I was doing research with at UIUC as a MS student in CS. Really quite interested in programming languages and compilers as a research topic - something U of I is very strong in. My strong letter of rec is from a UIUC compilers research professor. Thanks!
  18. NCSU CS vs Rutgers CS

    Which one should i choose for MS CS: Rutgers, New Brunswick, NJ North Carolina State University,NC Which one has better internship and job opportunities??
  19. Hello, I'm interested in the one year Master of Science in Public Policy program at NYU's Wagner School. It seems like a pretty unique program to me, and I'm having trouble finding any information about acceptance rates or thoughts on past applicants. etc. Does anyone have any thoughts about this program or is anyone else applying/does anyone know any admissions statistics? Thank you! - M
  20. Hello, I have received admits from: Syracuse MS CS UMBC MS CS Washington State Uni I am confused between these 3 on following points: batch size (200 vs 45 vs 40) internship opportunities (east coast vs east coast vs west coast) college reputation (well known vs decently known vs not well known) location (east coast vs east coast vs closer to west coast) Any inputs comments will be highly appreciated. I would like to pursue thesis as I wish to go for PhD in near future (3-4 years after ms) Thanks, Aditya
  21. I am an international student and am applying for MS in Computer Science, Fall 2017. Till now, I've got only 1 admission letter, which is from UIC. I expected to get another one from ASU. So I mailed them (both the university and the department) last week and they replied that it's still under review and that they expect to make admission decisions till the end of May. Nothing was mentioned about wait-listing and rejection. Now, my question is, should I wait for their letter? The deadline for UIC is May 15th and I'm already getting fidgety. I have to arrange for a student loan, housing, accommodations, resigning from job, packing, visa and all that stuff. So I accept the letter from UIC and not wait for one from ASU (despite my high hopes of getting in)? Has ASU already made their decisions?
  22. I didn't see a thread for UIC, Fall 2017. So I made one. I will be taking admission for MS In Computer Science and as an international student, thought it would be nice if I knew someone there before I actually arrived there. In short, Hi all my future university mates!
  23. Greetings, I am planning on applying to a MS in Biostatistics in the Washington D.C. area for next fall and was wondering if anybody here can give me any pointers/advice on which school would be better for this specific program, George Washington U. or Georgetown? Unfortunately, I have not been able to find too much discussion about the biostatistics programs at these schools and I would like to know about their relative strengths and weaknesses. I am going on the assumption that both GWU and Gtown are going to be relatively equal in terms of my chances of getting in so my main criteria for deciding will be job opportunities afterwards and which school will open most doors. What do you guys think? Looking forward to hearing any opinions/advice/experiences regarding these schools. Thank you in advance for your time and help.
  24. Hi all, I'm an international relations major who speaks a few lesser-known languages with several years in management consulting under my belt, and I'm planning to apply to urban planning/public policy programs this fall. I'd like my classes to have a strong international focus as well as give me a solid understanding of quantitative (statistics) skills and technical (GIS, data management, data visualization using R, Python, etc) skills, as I didn't get these in undergrad either because they didn't mesh with my qualitative studies or were too stovepiped at the time in the engineering/math departments to be widely applied to political science/international development. I've considered a public policy master's, but urban planning seemed like a great fit for my creative interests in design and interests in working on international issues where my language and cultural knowledge could be put to use. Sound logical, or too romanticized for someone with no experience in the urban planning field beyond some GIS work? Beyond grad school, I'd like to be competitive at either an international development group in the private sector (tech startup?), international finance (World Bank), or NGO sector. Here's my list of schools: MIT DUSP Harvard HKS/GSD Columbia GSAPP/SIPA (Urban Studies concentration) UPenn MUSA And a few others with less of an explicit Urban Planning emphasis: Tufts Fletcher UChicago Harris/Computational Analysis A few questions on both grad schools and careers: 1) Any schools I'm missing that I should check out? I've heard the Ivies may not be as important with their brand-name as say for business schools, but the programs look interesting. I'd like to be in a major city for networking purposes as well as to get some exposure to local infrastructure/planning programs, even though I don't see myself working in local or state government long-term. This list was also put together to give me the most flexibility in terms of career options in the field. 2) What are some urban planning jobs outside of local or state government that do work or plan internationally? I'm aware of a few civil engineering or international development groups like AECOM or Louis Berger, but welcome any other suggestions. Thanks for any advice you can provide!
  25. UMich vs. UWash vs. PennState (ECE, MS)

    Hello, I'm an international student and will be paying full OOS tuition to the school I go to, none of them offer funding. My goal after grad school is to transition to industry in the US (possibly in an R&D, technician, or design position...not academia), in the field of MEMS/nanotechnology/photonics. I'm leaning towards University of Michigan - Ann Arbor because it seems to have a good reputation in ECE, but at the end of the day, companies likely don't care too much on the school but rather the skills/knowledge you acquired. I'm not a fan of the location; I would likely look for a job on the (west) coast after graduation. The advisor for my program of interest seems to be well-known in the field for the past decade (I just looked at relevant citations on Google Scholar and compared to the other 2 schools/program advisors). University of Washington - Seattle is located in a relatively nice region; but I think UMich has a better reputation (once again, school reputation is not everything). PennState is currently 3rd on my list; the program quality seems equal to UWash, but the location is not ideal. (In hindsight, I should have applied to more schools in California, I only applied to USC and have not yet heard back.) I would also like to do an internship or co-op work term if that is allowed for F-1 visa holders (advice on this would also be appreciated). Which school would set me up on the path of highest probability to: 1st) Work in industry in the field of MEMS/nanotechnology/photonics. 2nd) Have the ability to relocate to either the west or east coast? 3rd) Graduate. My undergraduate was in engineering physics and I am starting to feel anxiety in doing a Masters in ECE. I'll be trying to fill in knowledge-gaps (e.g. circuits) over the summer. Ideally, the school I go to has excellent academic support for its students, outside regular lectures. I have not discussed my decisions with other people, as I currently work in a somewhat unrelated field. If anyone has experience or is familiar with these schools, any thoughts would be appreciated. Thank you!