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Found 109 results

  1. Hi guys. I need help in my profile assessment. Please suggest a few universities for MS in CS in both categories: safe and moderate. Would prefer if they were public universities. Term: MS in CS (or MCS, SE) Fall 2019 GRE: 322 (Q-170, V-152, AWA-4.0) TOEFL: 106 (R-25, L-26, S-27, W-28) Undergraduate: B.Tech in Electrical from IIT Ropar with 6.71 GPA (2013-17). Research Papers: 1 paper in Electrical Stream Internships: 1 Software Engineering Internship Work Experience: 1.5 Years, Currently working as a Senior Software Developer Hackathons: 1 Hackathon Win Extras: 1 own a blog and also have built a website SOP & LOR: Please assume they are really good and suggest. Also please suggest before when should the application be submitted and complete? What is the recommended deadline? Thank you very much for your help. I would be really grateful.
  2. I'm a GSU student and already got a MS in computer science. I want to apply 2019 Fall CS phd program. My GPA is 3.65/4, GRE is V152, Q168, AW(still waiting the score). No publications, no job experience, but I have some related research experience and TA experience. So what ranking range of CS phd program I could apply? Top 50 to top 90?
  3. I would like to provide some information regarding the reality of getting admitted to top 5 ranked Canadian graduate schools in the Computer Science Program. I work in the field and it appears to me that many applicants are not aware of some of the basic requirements to be admitted that are not overtly stated but definitely required. Unfortunately, I am unable to reveal my university or position as I wish to remain anonymous. Most of the time, you MUST have previous degree from a top school of your country, especially for students with a degree outside of Canada/USA/UK. This is extremely crucial for international students and unless you meet this requirement, it is extremely difficult to be admitted. For most countries, you will need to be in the top 5-10 universities in your country (excluding Canada/US/UK/India). For India, UK, and Canada you will generally need to be in the top 20 universities and for the US, top 50 may be considered, however, top 20 has a greater chance of being admitted. One of the first considerations of the reviewer is the school in which you graduated and how that school ranks in your country. To elaborate, having a degree from a top university is important because this is the only sure way to prove that you are performing well academically because the teaching standard and research caliber of top schools are widely recognized and can easily be compared top Canadian universities. It is impossible for each top Canadian university to understand the teaching, grading and research standard of hundreds of thousands of universities in the world, including many in a foreign language with public and private systems and most reviewers will not dig around for information regarding unknown institutions. For example, there are some universities that give a grade of 75% or above to only one in a few thousand students, whereas another university can have a graduating average of 3.7 GPA. With variations like these, unless you graduated from a top university in your country where the general grading trend and teaching quality is recognized by the Canadian school, your chances of admission are slim to none. Furthermore, the other reason a top university is important is that reviewers want to see reference letters from colleagues or faculty they know and value the opinions of. Since most top researchers in Computer Science meet in major conferences, presentations and events around the world, they are aware of each other’s work, reputation and standards when writing and reading reference letters. Most of these outstanding members of the academic community are also positioned in top schools coinciding with the reviewer’s search applications from top schools. The top Canadian graduate programs in Computer Science receive over 1000 and sometimes even over 2000 applications per year, with three reference letters per application this is an astronomical number of letters to read. Taking this number into account, while the content of reference letters matter, the respectability of the reference writer is arguably even more important. For example, a reviewer reading 100 applications a day would have to read 300 reference letters, 100 of them may indicate that the student is in the top 10% of their program. In the end, being top 10% may not mean anything because there are too many top 10%s and it does not indicate the quality of the student or education. Moreover, there have been examples where the same reference writer indicated that three different students from the same year and class were the number one student in their class. In cases like these, reviewers go back to looking at the top universities, since the caliber of education is known, and they may know the reference writers, therefore, ensuring the letter is reliable. If you believe that there are many exceptions to the rule, consider that the admission data from the previous year from one of the top Canadians schools: only TWO offers out of more than 100 offers made were outside of the guidelines above. Of course, an excellent statement, GPA, reference letters, GRE, and English proficiency are also required even from a top university. Moreover, other factors such as publications, conference experience, research projects and work experience, other achievements are also considered, however, if you do not meet the top university requirement, you will likely need astounding achievements in the other factors to even be considered for admission. The information provided refers to research Master’s and PhD programs in top Canadian universities and does not necessarily reflect industry targeted master’s programs in Computer Science. I am happy to answer any questions or clarify any points, feel free to contact me or respond to this post.
  4. Hi, I am a Senior Year undergrad studying B. Engg in Information Technology. I am planning to do Masters by thesis in Computer Science from a good university in the USA, preferably FALL 2019. I have given the GRE and my scores are Q - 161 , V - 152 and AWA - 3.5. My CGPA is currently 7.47/ 10.0 (uptill 6th semester) and my SGPAs' from first sem to sixth sem are 8.33, 8.08, 6.92, 7.23, 7.16, 7.19 on a scale of 10.0. Also, my grades in key subjects like Operating Systems, Computer Networks, Probability and Random process, Discrete Mathematics, Compiler Construction, Theory of Automata are usually either C or D and occasionally B. What are my chances of getting into some of the decent colleges for MS in CS like Stony Brook, Rutgers NB, UMASS Amherst, University of Maryland, Texas A&M Collegestation etc ? Would I be able to get into a respectable grad program in any public research university with good placements and engaging programs? TLDR: My CGPA - 7.47/10.0 and SGPA dropped from 8.33 to a low of 6.92 due to poor health and stabilised around 7.2 by end of 6th sem. Poor grades in important subjects. Chances of getting into colleges like UMASS Amherst, Ohio State University, Rutgers NB, Stony Brook etc. PS: Giving my TOEFL on sep 15 and Thanks in Advance!
  5. Hi guys. I'm currently getting a research mscs in a top10 university in US (top10 cs undergrad in the states as well, both rankings are major rankings), and about to apply for CS PhD this fall. Here's some info:- GRE: 161 verbal, 170 quant, 4.0 writing- intern: 3 summer interns in the bay area- research & publication: 1 first author at ISIT, 1 second author at ACL, 1 second author at EMNLP, 1 third author at EMNLP.- GPA: undergrad 3.84, grad~3.9- recommendation letters: my advisors are pretty good, although they may not write super strong recommendationsI would like to do research in learning theory, also tcs or mixed integer programming. Here's my list:- reach: UCB, Stanford, MIT, CMU, Princeton, TTIC- match: UT-Austin, UWashington, UPenn, GeorgiaTech (ACO program), UWaterloo (ACO), UCSD? Cornell?My concern is that, although I have 4 papers, only 1 is about learning theory, the other 3 are about NLP, which I'm not sure whether would help with applications for learning theory direction. ML is getting very very popular nowadays and I know ML applicants who have a lot of papers get rejected by all the universities they apply... On the other hand, is learning theory a little easier to get in compared to ML? Since the former is theoretical. Also does anyone know how hard it gets to change research topics? I have no research experiences except for some courses (and reading on my own) in TCS or MIP, but they really appeal to me.So am I being too optimistic about these choices? Thanks a lot for any suggestions!
  6. Hello everyone, I am applicant from India wanting to apply for Masters program in Data Science/Data Analytics/Computational Chemical Engineering. My humble request is to review my profile and suggest me some universities I should target for applying to the Masters programs. Also, if someone could suggest any chances of obtaining a funded masters opportunity at some universities, it would be awesome ! Thanks in advance ! Profile: - Bachelor of Technology (B.Tech.) from Indian Institute of Technology Kanpur (IIT Kanpur) with GPA of 9.3/10 - Major in Chemical Engineering with Minor in Computer Science and Engineering - 2 years and 3 months work experience as a Data Scientist and Analyst at a BigData Analytics startup - GRE Score : 320 (153 Verbal, 167 Quant, 5.0 in AWA ) out of 340 - TOEFL iBT Score : 116 out of 120
  7. Hi all! Looking for any advice and input from anyone familiar with MSCS programs. I have an unrelated undergraduate degree and would like to know which schools are worth applying to, and which are not. I know there are other individuals trying to get into CS without a CS undergrad degree - so perhaps this will be useful for them too in future. For context: I have a Bachelor of Music as an undergrad. In preparation to apply for masters programs in CS*, I have completed the following 10 courses (by application date): Discrete Structures, Programming I, Programming II (completes one-year CS sequence), Calculus I, Calculus II (completes one-year sequence), Statistics, Linear Algebra, Intro to Data Science, Operating Systems, Data Structures & Algorithms. I have a 4.0 in this course work, as well as my undergraduate degree. Q: What are some reputable programs that might accept a candidate such as myself? What are some programs that are simply not applying to, considering my background? I understand certain programs are looking primarily for students likely to excel in research. These might be universities to avoid considering my background. I am more interested in doing really good coursework from a reputable** university. What might that list look like? *In California - and many states - a second bachelors is not permitted. I live in CA. **Let's define reputable as any top 60 program from any well-known source (usnews.com, csrankings.org etc).
  8. SnowAngel3535

    Canada Fall 2018

    Hey, just decided to start this to check in with everyone who'll be applying to MS or PhD Canada Fall 2018. What schools are you applying to and subfields?
  9. Hey guys, I am planning for doing MS in Computer Science. Please suggest me ambitious, moderate and safe universities based on my profile. GRE - 308 TOEFL - 90 Academics - B.Tech. in IT (8.27 CGPA) Work Experience - 6 years as an Android Developer
  10. Hi! I know it's a bit late now but I just received my offer to MS in data science from Columbia and MS in Computer Science (Scientist and Engineers) from USC, besides MS in data science in NYU. I am having great difficulty deciding among these three programs. My brain literally shut down and beg for other's suggestions... A bit of background, I am graduating from UCSD majoring in Applied Mathematics and minor in Computer science with specialization in Machine Learning. I am a bit inclined towards becoming a data scientist in the future but I don't mind studying computer science. For now I am mainly concerned about the career aspect but I won't completely turn down further research opportunities. People were saying NYU has great curriculum and heavy in machine learning while Columba has recently invested greatly into the DS institute. My personal preference would be a smaller department with more chances interacting with faculties. Any suggestions? Thank you sooooooo much!
  11. Hi I'm CS undergrad with 1 year industry experience, 1+ years of lab intern experience (machine learning, computational biology). I'm trying to apply at phD programs. I love machine learning but during my internship, I found I'm not that really interested in computational biology as I first thought and I want to search labs where I can research deep learning and trading system such as stock recommendation system, trading agent using RL, stock forecasting with various deep models, interpreting chart etc... I've been told at ML courses RL and machine learning system has been successful at these fields but I couldn't find many papers or labs doing deep learning and financial trading. Is there any university or labs with these research topic? I want to study with researchers with same interest and look for labs, but don't know where to start
  12. Hello guys, I got accepted into ECE MEng at UIUC and CS MS at UCSD. I wonder which programs will help me more in my future career. I have good background in CS and already got an internship in big company this summer. Could you please share your suggestions and reasons? Many thanks.
  13. firefoxquantum

    Georgia State vs UNCC

    Need help deciding. Research from both interest me. Post graduation job opportunities and overall reputation are the two factors I'm considering. Please suggest, thanks!
  14. Divyesh Chitroda

    NYU FALL2018

    Any NYU admits for MS CS fall 2018??
  15. Hi everyone, I recently got admits from UCSD, UCI, UMD, UMich, all MS in CS. None comes with funding. I'm having a hard time making a decision, and really appreciate any help you could provide. For the context, I want to focus on AI/HCI for my MS CS. Because I am an international student, these are my top two priorities to decide: 1. ROI, or career prospect in the US after graduation 2. TA/RA opportunities, anything to help with the cost These are general feelings I had from reading through the internet and department websites (the only source I had), please correct me if any is wrong: - UCSD: the Design Lab, Prof. Don Norman, Scott Klemmer - UCI: Big school of CS & informatics, lots of professors, more resource (?) - UMD: Research oriented, big HCI, Good TA/RA opportunities* - UMich: Good AI, overall CS rep (I got Texas A&M and CU Boulder, but will probably choose from 4 schools above. Please add anything that comes to your mind.) Thank you very much.
  16. Hello everyone! I submitted my application for Columbia University master in computer science 11.14 last year. I have noticed that there have been some admissions and rejections as regard to this this program, but my status of application is still pending. So, is there anybody in the same situation as me? BTW, do some of you guys know when the admissions and rejections will be given to me? Thanks for your kind help!
  17. Hi guys! I'm a South African EE undergrad that got admitted to MS CS at Georgia Tech I haven't made a final decision yet,but I think I will accept the offer - I got rejected from all the other schools I applied to (Stanford, UT Austin and UCSD). It's pretty clear to me that the degree offers a pretty good ROI and job prospects, but I've never been to the GT campus or even to the state of Georgia, so I was just wondering what the quality of life in Atlanta is like? I'm also very curious if any South Africans have been admitted to Georgia Tech this season? Are you thinking of accepting? I'm guessing it's unlikely, but who knows - it's worth a shot to ask.
  18. Which course is better? Georgia tech CS or Columbia DS. I am leaning towards a data science course.
  19. I'm interested in pursuing a PhD&career in either data science or machine learning in the future, but don't have an undergrad degree in CS, data science, machine learning, etc. and discovered my interest late so I've only taken 1 intro programming course and I'm assuming they have pretty rigorous pre-reqs I majored in Physics at Cornell (cum.~3.6, 3.3 in major) and have had a couple years of research experience in multiple settings (working on first publication). I'd be willing to take a masters program in between, but wondered what my best option would be to make the transition given my relatively limited background.
  20. Applied for MS in CS. So I just received an acceptance from: UNCC GSU Universities yet to reply: UofM UofW (St. Louis) WMU MTU Should I wait or go either one of these? If so, which one???
  21. Dr. Dingwen Tao from the Department of Computer Science at The University of Alabama invites applications for Ph.D. studies in the areas of high performance computing, parallel and distributed systems, and big data analytics. Students will be fully funded by research/teaching assistantship. Dr. Tao has published many papers in top HPC and Big Data conferences and journals, including IEEE BigData, ACM HPDC, IEEE IPDPS, ACM PPoPP, ACM/IEEE SC, SAGE IJHPCA. His research has been supported by National Science Foundation, Department of Energy, Argonne National Laboratory, Brookhaven National Laboratory. More details of Dr. Chen's research can be found at: https://sites.google.com/site/dingwentaoshomepageua/. Qualified candidates are expected to have strong programming experiences in C, C++ and Python under Linux platform and good English writing skills. Students with prior research experience in parallel computing (MPI/OpenMP) and/or acceleration technologies (GPGPU/KNL/FPGA) are preferred. Students with strong CS, Math, EE, or Physics backgrounds are especially encouraged to apply. Applicants should send their detailed CVs, all transcripts, G/T scores, and other supporting documents in one pdf file directly to Dr. Tao at ustc.dingwentao@gmail.com and apply online at https://graduate.ua.edu/prospective-students/apply-now/ before April 15th for full consideration of 2018 Fall admission.
  22. Hi all, this decision thing is becoming a torture. I narrowed it down to Northeastern Uni vs Brown. I like both possible advisors, who work on different things (albeit in the same broad field). I have also visited both campuses, but it didn't help much because I liked both. Has anyone got any experience with those schools for a CS PhD?
  23. I was accepted into 2 Computer Science PhD programs. When applying I had a favorite school, but back then I thought that ranking was the most important thing. Now I am struggling a lot with my decision, especially because I find the advisor in the lower ranking program I got in (90s according to USNews), the best match. I also saw that previous students seem to have gotten excellent placements post graduation. I talked to some of them and they were very enthusiastic about their experience. While in the highest ranking program i got in (ranking around 50th), my advisor is new and therefore does not have previously graduated students and only 2 current ones (one being co-advised). Not many students from the program replied to my emails and therefore it is very difficult to get an impression of the overall atmosphere. And unfortunately, I can not visit because I am an international student. I don't know how important the ranking is in this situation especially since I want to try to get into academia after I graduate. Any suggestions/advice?
  24. I have been accepted into PhD programs at UCSC and Northwestern. Everything else remaining equal: should being closer to Silicon Valley (to the tech industry and research labs there) be a factor in my decision?
  25. alicehzheng

    CMU MIIS vs CMU MCDS

    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
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