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Found 120 results

  1. 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
  2. Hi all, I'll be starting next year at a public R1 university with majors in Mathematics and Computer Science (and possibly a minor in Econ) with a number of math credits I earned through dual enrollment during high school (Calc 1, Calc 2, Calc 3, Diff Eq's, Intro to Analysis, and Modern Crypto). I've been reading through my university's course progression, prereq flowchart, etc and quickly realized that I am very much a fish out of water when it comes to selecting courses to take during my undergrad. Based on the little contact I've had with a departmental advisor, I'd be able to start on a Master's degree (albeit forced to) at my university for Math in my Junior/Senior years if I want to be able to continue to take graduate math classes beyond the 2 that my university allows for undergrads. My question is basically this, what Math/CS courses (undergraduate/graduate) do you all recommend I take in order to put myself in a good position for applying to top20 grad schools as a prospective math PhD? In terms of a future career, it'd be interesting to work as a research quant in a WSB.
  3. As said above, I really don't know what to do. MS in Information Systems on NYU or MS in Computer Science in UChicago. Costs are the same. Any thoughts?
  4. Studied computer science during undergrad with some limited research experience and no publications. Want to apply for Ph.D. in the future. Got admissions from 1. Dartmouth college MS CS with 75% scholarships; 2. Cornell MEng CS; 3. UVa MS CS; 4. UMass MS CS Which school do you think is better for me? Thanks a lot
  5. Hi Guys, I have the following admits, 1. MS Computational Data Analytics at Georgia Tech 2. MS in Analytics at Northwestern University 3. MS Computer Science (concentration in data science) at University of Massachusetts Amherst I have been waitlisted for NYU MSDS and still waiting to hear from Columbia MSDS. A little bit about my background, I already have a bachelors and masters degree in core statistics. My aim is to work in machine learning or data scientist positions. My confusion is given my background, what would be a better choice MS in CS or MS Analytics/Data Science? How reputable is the MS CS program at UMass Amherst? Would the GaTech brand be a bigger addition to my profile? Any insights would be greatly appreciated!
  6. Do all Columbia Ms Cs people get interviews. I haven't got an interview till now. What does it indicate?
  7. Hi guys, does anyone have any idea about when the decisions for Waterloo MMath Computer Science (MS CS) for Winter 2020 will be given out? I have applied to Waterloo on Jan 20 for Winter 2020 since Fall 2019 deadline was already over...However, I have also applied to other colleges for Fall 2019 admissions. So, if I get admit in other Fall 2019 colleges, how long should I wait before accepting their offers over Waterloo?
  8. Current position: UMich (RA offer): with an AP UIUC (TA offer): with an AP UW-Madison (RA offer): with a professor UCSD (RA offer): with a professor I want to enter the industry after the PhD. Anyone any thought? Thank you guys so much!
  9. I thought UBC Computer Science starts sending out acceptances from late Jan. But, still nothing from them. Any idea anyone?
  10. Hi friends, I'm a little anxious about an upcoming call with my POI. I recently got admitted and my POI emailed me saying that she would love to answer any questions I might have/introduce the school more. I really want to have this call as well, but I'm not so sure what kind of questions I should ask. I know she must be very busy so I want to make good use of the time. We had a Skype call before the admission decision and already talked about current projects, her group (she is a new AP and just started recruiting PhD students), my interests, and the city where the school is. Currently I'm thinking of asking about funding (the offer letter says TA/RA already though), and maybe the style of advising? There is a visit coming up for the school too, but I don't know if the funding question/asking about visit days is too much on the logistics side and might not be worth asking, but otherwise I cannot seem to come up with other valid questions. Please advise! Thank you very much!
  11. (1)Third year CS major in a US university(on the boundary of top 20...), will apply for PhD during my senior year (2)Took GRE once during my second year, and got 160 on reading, 168 on math, and 3.5 on writing (2)Expected GPA during application:3.75/4(our school doesn’t have grade inflation) (3)Since I’m interested in theoretical CS, I’ve taken a lot more upper division math classes than required, and a few CS grad classes related to my area of interest(got As in all of them) (4)One year of research experience(no publications yet), 1 internship experience (5)Will get 1-2 strong recommendations from big names in my interested field (6)Haven’t even thought about the SOP yet. Any suggestion on how to start is welcomed! Honestly what do you think is my possibility of getting into my top tier schools(e.g. Stanford, MIT, CMU, Berkeley) and lower tier schools(e.g. UWash, Umich, Cornell...)
  12. How is the application reviewed in the interview phase of EECS MS/PhD at UC Berkeley? If interviewed and accepted into the program, would the interviewer (by default) be the PhD supervisor? Or, is the student first accepted into the program and needs to find a research supervisor later? If the students are first accepted into the program and not by a specific advisor, how would funding be handled?
  13. Hi, I have been invited to do a Skype interview with a professor at Cornell Tech for the M.Eng in Computer Science. I was wondering what kind of interview it will be and what kind of questions I can expect? The only information I got in the email from the admissions department was that I should be prepared to answer technical questions about my experience in computer science. What do you think they mean by that? They also mentioned that the interview will only take between 15 - 30 minutes. If anyone has some experience, then I would be grateful if you could share your advice and experience.
  14. 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.
  15. 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?
  16. 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.
  17. 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!
  18. 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!
  19. 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
  20. 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).
  21. 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?
  22. 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
  23. 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!
  24. 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
  25. 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.
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