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Found 258 results

  1. I have received admission at WVU in Computer Science PhD starting Fall 2020 with full funding and tuition waiver (of 9 credits). I still deciding whether or not I should I attend WVU. What worries me is the reputation of the university - "Party School". I am not sure if this title suits the grad school at all. Does anyone have any review about the program? This would help me a lot in making a good decision. Thanks!
  2. Does anyone know how the MS program at Yale is? I'm not sure how good the CS department at Yale is.
  3. Hey everyone, Anyone with admits/rejects to the UWash computational linguistics or other similar programs?
  4. Hey guys, I am looking for some advice on graduate school choosing. I've narrowed my result down to Columbia MSCS, GaTech MSCS, CMU INI MS in Mobile and IoT Engineering and Brown ScM CS. I want to find SDE jobs, CMU got a good brand but its focus is on Mobile and IoT, which will include some hardware. However, the last semester of this program will be taken in Silicon Valley, which will be somewhat helpful for finding full time jobs I think. GaTech costs less and Columbia/Brown are Ivies. what are your thoughts?
  5. I'm waiting for the decision of the PMP. Waiting makes me feel anxious...
  6. Hi folks. I have shortlisted these two from a handful of offers as final contenders for grad school destination. This turns out to be a much harder decision than I imagined. Below I try to list all that I can think of right now. There are generic factors and there are factors that are really specific to me. Basic info: The Oxford offer is a non-funded program under the supervision of a moderately renowned professor (I rate his academic prestige at 8/10) and a Royal Society Fellow co-advisor (10/10). I can apply to China Scholarship Council (hopes are slim though) but the cost is manageable for my family as well. The Rochester offer is full-funded, with principal supervisor a newly recruited Assistant Prof. (5/10) and a renowned co-advisor (9/10). The domains of research are different, with Oxford focusing on knowledge representation theory / ontology, and Rochester on data mining. Ox Pros: Much higher academic prestige for both the department and the supervisor Alumni connection from both the department and the college I will be working on well-established frameworks with a lot done by previous students and faculties Program looks shorter on papers, at 3-4 years. I checked the homepage of previous students in my group and they typically graduate in 4-5 years Perhaps - the name Oxford comes with some extra recognition Ox Cons: Money. Even though I can afford it, it's still a thing Relative shortage of a Chinese / Asian community. Not entirely sure UK PhDs are considered of less value than US ones Separation from my gf for at least 4 years. She will be attending some MS in California and will definitely not go to UK afterwards. I value the relationship highly UR Pros: I know the co-advisor personally, he's a remote relative of mine. Which probably means less pushing Abundance of peers of similar ethnicity, less risk of isolation Alumni connection is also not bad here, especially considering the industry I will be the first generation PhD student of this AP, a fact that comes with perks and risks Easier to maintain my relationship UR Cons: Much harder to publish under an AP than under the President / Editor in chief / Founder of many stuff in the respective field Very little pre-established framework for research Program takes longer with a higher bar on publication for graduation Larger risk of deferral regarding COVID-19. US visa is also notoriously hard for Chinese applicants, even those with offers I will regret gravely after rejecting either offer. It's a matter of which one should I regret less.
  7. Hi all, I don’t have an admit for Stanford’s MS CS yet — but it’s perhaps the only programme that would make me second guess accepting UIUC’s MS CS. Can you guys help me make the decision early? I’m certainly leaning towards UIUC, and I might decide later on to potentially move to a PhD. Tuition is not an issue for either. UIUC Interesting research topic lined up — could potentially start early? The Midwest is cheaper Seems to be more straightforward to enter PhD? Stanford Name recognition Cheers!
  8. So here's the dilemma: I'm a pure math guy who's mostly interested in theoretical computer science, but also partly interested in theoretical machine learning. I've been accepted with similar funding yada yada to both UCLA and UC Irvine's CS PhD programs. The professor at UC Irvine more so matches my interests (graph theory, approximation algorithms, pure math-y stuff) and he's also highly distinguished, coming off a 15 year stint doing theory at Georgia Tech. The professor at UCLA is more engineering focused. There's a few questions I need answers to influencing my decision: How important is the prestige of a university compared to the prestige of one's research advisor when it comes to securing faculty positions? How easy is it at UCLA (or in general) to either co-advise with another department (theory) or switch entirely, and would this affect funding offers? Any advice would be greatly appreciated!
  9. Recently I got admission from University of Chicago and University of Washington in Seattle, both are statistics master programs. I hope to work in IT companies in my future career, such as FLAG. As far as I know, the stats program in Uchicago tends to be very theroretical, and it asks students to take 9 courses and a thesis in order to graduate, which is a pretty good program for those who want to pursue a Phd program after graduation. And if I want to be a data scientist, a Phd degree is much better than a master degree when seeking for a job. Also,UChicago is well-known for many other subjects as well, which has a more wide reputation. But the computer science subject in UChicago is not its strong subject and if I want to be a data scientist in IT companies, I need to take more computer science courses as well since my major in math during BS. On the other hand, the stat program in UW only asks students to take courses and some of the courses have some projects. The university is in Seattle, where has a lot of IT companies, so it is convenient for me to find interns and jobs after graduation. And if I graduate from that university, the job I want would focus on software engineer /machine learning engineer /data analyst. And CS in UW is much better than that in Chicago, and if I want to solidify my computer science, I could take more courses there. I am really really confused about which to choose. Can anyone give me some advice on the program and the career development? Many thanks!!!
  10. I'd applied to Columbia for MS in Computer Science for Fall 2019 and submitted my application on Jan 15th. I got an interview invitation from on 9th March, 2019, which I gave on 10th. I haven't heard back from them since. I enquired about the same yesterday (21st March, 2019) if there was any status update for the application or if I was required to do anything else. I received a one liner reply stating that my application "remains in their review pipeline." Now, I understand around this time of the year, they'd be getting a lot of enquiries. So I wasn't really expecting a very verbose response about the status update. But what do you guys think? Is this a positive indication? Or does this imply a rejection? Or worse yet, does this imply nothing at all and it could turn out either way? Honestly, this wait has now become nerve wracking.
  11. I am admitted to the master of data science program at Harvard and MIIS at CMU. I am trying to decide between the two programs. Harvard's brand name is really attractive, but I don't know if a master is considered an alumnus. And also CMU is number 1 in CS field. I went to Umich for undergraduate and I majored in computer science. My current career goal is to become an SDE or data scientist after graduating from grad school. But I didn't completely rule out the possibility of getting a Ph.D. I would really appreciate any advice!
  12. Would appreciate if someone could give my essay a review and some constructive criticism, particularly with focus and improving language. Please comment and I will PM you if you are willing to help, thanks in advance!
  13. I am applying for a Masters in Computer Science, specializing in Artificial Intelligence, from a non-traditional background. Afterward, I am targeting a PhD in Computational Neuroscience or interdisciplinary in AI, Neuroscience, and related fields. Big picture, I want to contribute to mental health at the intersection of Computer Science and Neuroscience (e.g., improved diagnostics methods, computational modeling of mental illnesses, new therapeutic targets). I am looking for advice on which of the below 2 paths makes the most sense in the long term. Stats at the bottom -- thanks in advance! Post bac before Masters (total of 3 years; 1 year post-bac, 2 years Masters) Tufts Straight into the Masters (2.5-3 years, assuming a semester or two for pre-reqs) UPenn (MCIT first), Harvard, NYU, UC Davis, UC Irvine, Boston University, Northeastern ----- Stats Undergrad from Top 30 school in US, majoring in Psychology and Neuroscience GPA: 3.04 (high upward trend with 3.65 GPA in latter half) Major/Sciences GPA: 3.67 332 GRE (166Q/166V/5.5AW) 3 years of management consulting consulting in healthcare/pharma 2 years of Psychology research (started in undergrad, continued post-graduation, no publication) Additional stats, if post bac: 1 year of relevant research Recommendation letters from professors in target area GPA boost, and demonstration of ability to perform in relevant coursework Pre-requisites met In addition to the above benefits from the post bac, making me more competitive for 'better' programs, I think it: allows me to maximize my time during Masters for research (not spent struggling thorough coursework, and to narrow down research interests for the next step). Any thoughts and advance appreciated. Thanks.
  14. Hi guys, I am a senior in college pursuing a Bachelor's degree, and I need some advice on picking my career options. I am double majoring in computer science and psychology, and I am looking for a field where I can utilize my knowledge and skills from both of the fields. I have a lot of research experience and am currently considering going to graduate school to study fields like AI or HCI. I am not interested in becoming a professor as of right now, but I enjoy every step of research projects. However, I am still unsure of what exactly I want to do or how I can integrate two separate fields. There is no professor or staff at my college who has experience in these two fields, and the suggestions I receive from professors are usually biased towards their field. I am also struggling to decide if I should (1) find a job after graduation and keep searching for an ideal field in graduate, (2) go to master's program, or (3) go to master's & doctoral dual program. Getting scholarships is another factor that I have to consider as I will not able to financially support myself without a full scholarship and some stipend. Someone told me that if I want to go to graduate school right away, I should choose a dual program in master's & Ph.D. because they tend to have more funds for students than master's programs. As someone who needs scholarships but also unsure of what field to study, I am very conflicted with what path to take. Could you please give me some insights on this situation? Any advice is helpful. Thank you so much in advance!
  15. Hello everyone I am a master student at Georgia Tech, in Electrical Engineering. My major is Signal Processing. I want to continue to PhD but change my field to a more creative/graphics side. I am a digital illustrator on the side. There is also some geographical conditions for choosing phd school. I have made the following list, and would really appreciate some comments. It would be good if the school is in a nice city, not bad crime situation or middle of nowehere. Planning to apply to CS except for MIT, where it is Media Arts and Sciences. Thank you ! 1) MIT (Media lab) 2) CMU 3) Princeton 4) Columbia 5) NYU 6) University of Pennyslavania 7) Yale 8.) Maryland 9) Rutgers 10) Brown 11) Virginia Tech 12) Stony Brook I want to ideally choose 2 high ranked, 2 middlish and 2 safer ones
  16. Hello, I require advice shortlisting universities as ambitious/moderate/safe. Looking for universities mainly in the US. GRE : 331/340 (164V, 167Q) TOEFL : 118/120 Undergrad : B.Tech in CSE from NITK Surathkal, India. CGPA : 9.49 Internship : Software engineering intern Work Experience : 15 months as Software engineer. No research experience. One paper publication but the conference isn't well-reputed. My SOP will be moderate, and my LORs will be moderate as well. Taking all this into consideration, what universities would be ambitious/moderate/safe for me? I'm looking into MS in Computer Science, but my interest mainly lies in image processing, artificial intelligence, and machine learning. Thank you for your time ^^
  17. Hi, I am planning to apply to MS in CS programs for Fall 2020 and was wondering if it is reasonable to aim for the following schools: Stanford, CMU, Princeton and Cornell (I will be applying to a wide range of schools but just wondering which top programs are within reach). Undergraduate Details: Majors: Mathematics, Computer Science (NYU) GPA: 3.75 (overall), 3.83 (Computer Science) Took a few graduate classes GRE: Q(169), V(158), W(4.5) Research: 2 Workshop papers at ICML and KDD Teaching: 1 year as a Math/CS tutor 1 Semester TA for an upper level CS elective Industry Experience (Software Engineering): 3 Internships during undergraduate summers 2 Years of work experience (by Fall 2020) as a SWE Misc. Side projects/blogs/publications in student journals Any thoughts/comments will be appreciated!
  18. Education: B.Tech in CS, Jamia Millia Islamia (9.31/10), M.Tech in CS, IIT - Delhi (8.39/10) I have following publications, please suggest some moderate and safe universities / Profs. for PhD in ML (NLP/CV/Speech Processing): Published / Accepted 1 Interspeech (Tier-1), 2 CICLing (Tier-2), 1 IEEE AVSS (Tier-2), 1 IJCAI Affective computing workshop (Workshop in Tier-1 Conference), 2 NAACL WASSA workshop (Workshop in Tier-1 Conference), 2 NLDB (Tier-2), 1 IEEE Indicon (National Conference). In Review: 1 WACV 2020, 1 IEEE Transactions, etc. Scholar Profile: https://scholar.google.co.in/citations?user=-so8Wi0AAAAJ&hl=en My main concern: Weightage of Tier - 2 Conference papers for PhD in ML Thanks and Regards
  19. Hello, I have got admits in the following universities and programs: TU Kaiserslautern - M.Sc. Computer Science RWTH Aachen - M.Sc. Data Science Paderborn University - M.Sc. Computer Science OVGU Madgeburg - M.Sc. Data & Knowledge Engineering Universitat Bamberg - M.Sc. International Software Systems Science Please suggest the best/suitable program with respect to research prospects, job opportunities, long-term/short-term benefits?
  20. I will be glad if someone can help reviewing my SOP for PhD position in Computer Science. If you can, please let me know to send it to you as a private message.
  21. Hey guys, I got accepted by the Master in Intelligent Information System (MIIS) and Master in Computational Data Science (MCDS) programs in Carnegie Mellon University. Both programs are industry-oriented and are provided by the Language Technology Institute. As far as I'm concerned, the main difference is that MIIS is more focused on applying Machine Learning to Natural Language Processing as well as Text Mining while MCDS focuses more on Machine Learning itself as well as Data Science. Personally, I'm interested in all the fields mentioned above so it doesn't matter which one I choose. However, a balance between study and social life means a lot to me. Please let me know which one (if any) has a chill environment and is less competitive. Thanks
  22. ECE undergrad from a top 20 university in India. 329 GRE, 9.32/10 GPA (ranked third by GPA in my major). Taken most of the basic and some advanced coursework in CS (around 12 courses), with a number of MOOCs to augment it. Two month-long software developer internships at startups, one research internship at my university in ML and Networks, one research internship in Germany working on state-of-the-art Neural Nets for combinatorial optimization. One semester research project submitted as a paper to a top Robotics conference, and one research project coming up with Mercedes Benz India working on autonomous driving. Do I stand a chance in the top 20/top 30 MS CS programs? My list: UIUC, UCLA, UCSD, Georgia Tech, Northeastern, Brown, USC, UMass Amherst/CU Boulder, UToronto
  23. Hello Everyone, I have obtained my bachelor's degree (BSc) in Business Information Systems from a UK University. Now I want to apply for a Masters in Computer Science for Top Schools in the US and Canada. The problem is that I did not study math during my bachelor's degree. I have a GRE score of (V-157, Q-165) and 2 years of experience in Software Engineering and a GPA of 3.6. I want to know my chances of admission to top schools for MS in CS. Can you give me some advice and tell me approximate chances of admission?
  24. Hi guys, I wanted to ask a question about which masters I should do to prepare for a CS PhD. My options are Data science or software engineering. I am currently an RA in a top university in a cell bio lab, on my “gap years”. This school offers part time masters so I’d like to select the most appropriate masters to prepare for a PhD. My background is Biomedical engineering, with emphasis in mathematics. Thanks for the advise!
  25. Hi guys, I wanted to ask a question about which masters I should do to prepare for a CS PhD. My options are Data science or software engineering. I am currently an RA in a top university in a cell bio lab, on my “gap years”. This school offers part time masters so I’d like to select the most appropriate masters to prepare for a PhD. My background is Biomedical engineering, with emphasis in mathematics. Thanks for the advise!
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