Ms vs phd cs reddit. Apart from that, is there any .

Ms vs phd cs reddit Lastly, I am curious to know if being a student from UW Madison gives me a higher chance of getting into the MS/PhD program. I've to make a choice based on the University and Department. I have also observed that some universities offer MS/PhD programs (like UC Berkeley and UIUC). The best place on Reddit for I have been offered admission at Bostin University MET college and University of california Riverside , both for MS CS program. A reddit for nursing staff in the uk. From my graduate school experience (large R1 public ranked well above NU in CS), the average CS student at NU is going to get orders of magnitude more support and attention than the average CS student somewhere like Michigan or UIUC. ). The difference is in the quality of the candidates. The issue is, while I'd like to do research in computer science, particularly artificial intelligence, I don't want to work in academia. The funding opportunities are also better for MS CS folks usually. Get some professional experience first. MEng is also usually easier (and faster) to graduate. The thesis is just way more work for no pay off. That doesn't mean you would make less money, it just means there aren't as many openings out there. In terms of MS, we just don't have space. Not that you won't get jobs from Courant but should keep this in mind. I see that there is not a very big difference in terms of the courses offered in these programs. in Computer Science that has a deadline of Dec 15, and the Professional Master of Computer Science (on-campus MCS) that has the deadline on Jan 15. I am planning to apply for the MS/Ph. Rice MCS’s intended outcome is to make you employable whereas ASU MS CS’s outcome is to help you in research and employability/PhD. I am very confused with the M. Although if MS and PhD students have the same fighting chance on becoming a TA/RA, I would prefer to take MS While I was looking for possible career options for MS in CS, one of my friend told me about direct PhD. Although, I am more of Job Focussed, specifically SDE Full Time after MS, I should pursue Non-Thesis Masters. I was rejected by CMU ML PhD which happens to be my dream university + program but got accepted into their masters program. Besides, a 3rd Masters would do nothing for my career/salary whereas a PhD would increase my job security. I want to get into work as a software engineer but the situation seems to be not so good last year. Which would you choose: Western Governers University B. NYU offers 2 MS in CS. looked up the placements after ms in cs and they looked pretty good Finally given that I wanna work for a while and then pursue MBA , studying in Columbia would help me build a great network as compared to studying in Switzerland, which I would prefer if I were to pursue PhD and was more into research. My impression is that Microsoft is also invested in continuing to improve and actively develop the system. For non-terminal MS programs, I have never seen a need for a thesis. I am deciding between the 1. The MS work gives opportunity to directly interact with faculty on their research projects; if done well then this in turn makes one more competitive while helping to figure out the preferred research area. I wanted to know if anyone has any insights on the earning potential with a PhD in comparison to the a bachelors. Only go for the PhD if you want to focus on economics questions (and even then make sure that the program has close collaboration with the computer science department and that the econ professors are open to incorporating machine learning techniques - see the programs/faculties at places like Stanford, Chicago, Carnegie Mellon). You can apply for the PhD to get funding for the first couple years, then drop out after completing the coursework (with an MS), but if you know you don't want to do research, then you definitely don't want a PhD. ) I don’t recommend a Stanford MS if your goal is a PhD. The prospective PhD advisor is extremely well-connected and super nice, and my undergraduate advisor was previously affiliated with their group and could not have anything more positive to say. There's not a lot of time for the deadline, so all suggestions would be helpful. Class registration is very tough. My opinion is that it's not worth applying for a full-time course-based Master's in CS here. View community ranking In the Top 5% of largest communities on Reddit. Whereas, I got an admit from the CS department at UW-Madison. Right now I am working at a lab developing a rover for the moon on a contract from NASA. Or get the MS in CS from Georgia tech as Ive heard good things. I have PhD offers from CMU ECE and UW-Madison CS. In the UK finding funding is really hard, while in US when you get accepted PhD you are getting funding automatically. Also, getting an MS along the way is not a bad idea. A PhD is a huge help for a career in clinical research. Things that I want to consider: I’m a recent grad looking for some advice on MS vs PhD vs Industry work (Software engineering) for Computer Science. MS in DS: this is essentially just an MS in statistics plus a good amount of CS including classes on Algorithms, Data Mining, Data Husbandry, and Databases, all of which sound extremely useful. IMO your profile is strong for top 20 PhD programs in CS, even top 10 or top 5 depending on who wrote your recommendations and what exactly they say. If you're already getting an MS in CS, then you won't be getting a PhD, otherwise you should just go for the PhD. that your average stats PhD is not as good at CS as your average CS PhD is at stats -- even if that point is true from an observational standpoint (idk if it's true, but let's just assume it is), it doesn't actually have a lot of bearing on what you choose to do as a PhD However, Berkeley CS / EECS is a notch above in my opinion, and I think you should come here. 5 years). Admission into MS/PhD is the way in which they select undergrad applicants into their doctoral programs. traditional community college > university, graduate at 30 with probably $20,000 debt The “EE”-ness of EECS is super variable/down to the individual professor/researcher. 5 year UCLA MS in CS, and the 1 year UCB MEng in EECS (graphics focus). I would recommend just applying to which ever you feel most aligns with your research interests. S Computer Science in 6-12 months, graduate by 27 with negligible debt VS. It allowed me to focus on my MSc research, get a feel for the field work and research process, and have the deadline of having to complete the research, write the entire document, complete a defense presentation, and complete a round (maybe two) of review from your committee. I don't want to give GRE Again for PhD. Having a degree besides CS will make you look more interesting too. after passing candidacy) and some will provide a MS to you if you don't successfully pass your candidacy but it is highly program dependent and may require additional TL;DR: MEng means you are not getting a PhD, but both are valid in the eyes of recruiters. Would like to clarify that at most CS schools, the courses offered to PhDs and MS are the same though and a PhD could easily take the same courses as the terminal MS student if they desired. ) Here's my opinion on this: If you are interested in doing a Ph. With a strong academic record (3. Having been an undergrad here is a plus. compared to MS. Apart from that, is there any Do the CS degree to completion and disregard graduate school for the time being. Not sure why it would take longer. MS vs PhD in Embedded Systems I have an offer for MS at the University of Michigan with a major area of study in Embedded Systems. The main different between the MS and the PhD is that the MS is 2 years with more flexible class requirements, while the PhD is more strict and 4-5 years. Hi there, I am currently a senior in undergrad. Comparing a PhD to marriage is in the same vein as the previous issue: it suggests that the person is a failure if they do not finish, because they will have broken some oath to do so. I have been contemplating doing a PhD, and at the moment my university is offering a $50k scholarship which is pretty great. You might right in your resume "Masters in Computer Science" which makes it feel like MSCS. Especially since I opted to take PhD courses my first semester, my studies compared to a 1st year PhD have been exactly the same. A company will never trust you and the market will never put you on the same level as someone who has a PhD and a post doc. My friend got his online masters from John Hopkins. programs and would affect my chances of getting admitted. As a formality, an MS might get past some HR or recruiter filters that a BS won't, but that's really about it. Now I have two options, apply for a PhD under a domain that would need a commitment of 4 years Atleast. 99% of people don’t conflate NYU Tandon and NYU Courant, or their respective CS departments. Edit: you should figure out what you want to do first would be my recommendation One can get directly into the PhD track but doing so is substantially more difficult. Credentials - While it's still a Master's degree, a course-based Master's isn't much better than an undergraduate degree, nor does it provide you with working experience. It seems like UPenn's MCIT and Tufts MS CS are the two best options for online masters in computer science for people with non-CS undergrad. I hadn't really considered research/project assistant positions I'll look into that. Also, your first point is a straw man argument. Also, a third of the required courses seem not so relevant to me. If you practice your Fourier transform integral tricks and learn residue theory of contour integrals now, you can kill OPT411 and OPT461 first semester of the MS program. But Given the fact that GRE Scores are valid for 5 Years only, so I am thinking to continue for PhD just after MS. PhD statisticians are the project leaders, and MS statisticians provide support to PhD statisticians. Don't know if this matters, but I'm a US citizen (domestic) and have done all my education in India. Undergrad students are prioritized over MS students (even for MS classes!) who are in their first and second semesters. SJSU and NEU are my top two choices at the moment. I am not sure about going for a PhD, given its duration. I majored in Electrical Engineering as an undergrad but had chosen a lot of courses about computer science. You could also do the MS and transition it to PhD. 7/10 Research : 2 experiences out of which 1st paper is submitted to Scopus indexed springer planning to submit the second one soon Internships : 1 as ML engineer Among my PhD offers, one is from a non-top 4 CS school which ranks among the top 3 of my subfield, and the advisor that I got is very, very good. Another key point to consider is that MS CS is generally more selective than MCS (UCI MCS batch size is around 200, while MS CS is <50, similar case for UIUC, NCSU, etc. I didn’t end up applying to UCLA myself, but if I recall correctly, an MS degree was required to enter their EE PhD program. I don’t really see myself being a Professor (although I know that some PhDs work in industry). g. Windows 10 offers a whole lot of pleasing software/development/other options (VS, MS Office, gaming) and I have found the Windows Subsystem for Linux + Ubuntu Terminal to be incredibly useful despite how new the system is. I'm trying to decide between ML PhD at 5-10 CS school (in USA) and MLE at FAANG (It is one of the applied teams and not pure research teams like FAIR/Google Brain) If going to industry is eventual goal, which of these two options is preferable? ML PhD - Highly reputed but takes 5 years to finish. 5 years of salary and getting real-world experience will always result in way more money. I started my grad work doing AI, and there are a lot of opportunities in the field. I will be applying for MS in Computer Science in Fall 2023. The Stanford MSCS program is much less selective than a UT Austin PhD. CS is math and theory. I think the MS programs were 3 years which is the only reason I am unsure about them. . I'm currently studying CS (focusing on AI and ML). Some MS students do manage to get an RA or (more commonly) perform research via research credits, which is pretty easy to do. I’m really interested in and have a research background in computational sustainability intersections with AI, especially power grid optimization and sustainable smart cities. not necessarily true, look at stanford's ms vs phd acceptance rate for CS. I've been really fortunate this year to get into three great programs - Harvard MS CSE, CMU MS ML, and USC CS PhD! Now I have a really tough decision to make, so I wanted to put this out there and see if anyone has tips/advice. I'm honestly a little surprised you're not considering a CS PhD program, because while you are correct that such a program would require coursework and knowledge orthogonal to your stayed objective, the same holds for a statistics or applied maths Phd program. The CS Undergraduate program at Columbia is pretty great, but the same doesn't hold for the MS program. There is no oath to complete a PhD, and hopefully a PhD is not the death of you. Because unlike say a place like Canada where these unis are public and their rankings solely depend on the actual quality of academia, in US these are pvt and hence not only super expensive but the rankings are bought and therefore they also seem very biased at times. Most universities don't have this information in their handbooks, and most also dont like being email'd out of the blue by a non-student. I'm planning to apply for an MS in the US for Fall 2023 for the below courses: Computer Science (with a specialization in ML/AI, wherever available) Data Science Computer Science Engineering My profile: Undergraduation - 9. [C] Looking for career advice, aiming toward a MS-level statistician job, unconventional path: I have a PhD in Neurobiology (and BS in Math), then enrolled in a MS Statistics program and am a few courses in. I have received a few admits for Fall23 MS CS programs. D. Generally, if your goal is to get a PhD, then its not worth doing the MS unless the difference in prestige between the schools is large and you're planning to get into academia afterwards. I started thinking of applying for an MS to circumvent that. Research opportunities are few and hard to come by. I wouldn't give up UCSD MSCS for Columbia MSCS by a long shot. All your points about the skillset of a CS PhD versus a stats PhD -- i. in computer science, the MS is maybe not for you. This is true whether you eventually want to go into industry, or if you want to do ML research after a PhD program, or even if you want to do very theoretical work in complexity theory and algorithms - there are unrivalled opportunities for all that here. Saying you want to "come home to MD" is a plus. In my MS, it is common for MS students to convert to a PhD as the two degrees are very similar and are both fully funded. In CS, a PhD is never worth it financially. (I got my Computer Science transfer offer from UW-Madison last Friday, and I have 10 days to make my decision ) I know that some universities prefer their own undergraduate students, but I am not sure if this applies to UW Which one is more competitive? I was confused between these as I plan to ultimately pursue a PhD but don't have publications just yet. Columbia has a much higher MS acceptance rate that’s notorious. At this school, it’s exceedingly common for MS students to switch to PhDs because the conversion is very easy and the funding is the same between first/second year MS students and PhDs. It's very rare for the masters to have a specific usefulness. If I were to go back though I’d definitely apply to PhD programs this cycle and use my acceptance into BS/MS as a backup. As for a PhD vs. In this case, GT is pretty prestigious itself, so not the difference isn't even huge. CS program, I don't have much research experience (Co-author for 1 paper at an IEEE conference), I had read online that international students have better chances of getting into MS/Ph. I have an MS in ECE and work with a team entirely made up of PhDs. (Aho and he received his PhD from Princeton) The research produced by Columbia is incomparable to Cornell’s. So I would also consider to pursue PhD degree(as far as I know, UIUC is most friendly for PhD among these three). Some programs have non-terminal MS degrees where you essentially get a MS degree on your way to your PhD (i. If you are planning on pursuing PhD then MS CS would be more preferable though (due to the thesis option). MS CS is research using math and theory. CMU is known for CS but I got an admit from the ECE department. Should I pursue a PhD in CS, computational biology, or bioinformatics? MS vs PhD ECE/CS upvote r/NursingUK. Man, that’s a good question. CS rankings are based on research output, not quality of undergrad education. I would like to attend a top PhD program for Computer Science (particularly for Computer Graphics) but have a few reservations about my experience. Glass door/payscale seems to think 80-120k is the range but I’m sure that’s not right. You got admit into Courant which is extremely competitive vs the tandon. Good luck with your remaining applications! I wanted to know if MS with thesis programs (for example those at UIUC, UW Maddison, Princeton) are more competitive than Ph. Easier to live in a LCOL area and make bank. Also in the UK, it is expected you to finish a Master's degree before a Ph. I have no interest in pursuing research or a PhD, and I just want to get a decent job. at Madison. I wanted to know if MS with thesis program at UIUC is more competitive than the PhD program and would affect my chances of getting admitted. If I were in your shoes, I would apply for PhD programs, and a few (2-3) MS programs as backups at schools that have research-focused MS programs. Grain of salt though, I'm about to begin a PhD and have seen all these job postings like above looking for advanced degrees, but I've not seen how competitive they are among degree holders. I have done CS PhD admissions reviews. CS spectrum, or at least pulls ideas from many different sub fields within EECS. 6 GPA), three publications in relatively good conferences and journals, and one year of experience as a data scientist, I'm now considering pursuing a postgraduate degree in the USA. What are your suggestions: Jun 22, 2024 · I was advised to do a Master's first before thinking about a PhD, and I am so glad I did. Even for candidates fresh out of college, the ability to talk coherently about computer science topics is a lot more important than the difference between a BS and MS. CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. There is an option to transition to the PhD program and I am unsure whether or not to do it. If you want those, then the PhD is necessary. From what I know interviews happened mostly in Jan and offers have also been sent. They each require 10 courses, begin with some "bridge" classes, and have a similar curriculum. So, 1 is a little disingenuous. MS? A PhD is generally an MS, followed by research. in Computer Science does require a thesis while on-campus MCS does not. It is a top school, and I am sure the opportunities would be great! Berkeley interviews all potential PhD (or MS/PhD) candidates as it's a policy. IMO top 5 Ph. Jun 7, 2024 · I am a computer science undergrad student going into 3rd year. The PhD sets you up for specific kinds of research jobs, both professor jobs and industrial research jobs. I originally want an MS degree but I'm also considering PhD for the tuition waiver. But his masters doesn’t say “online” it just says MS in CS. Here is a recipe for getting into PhD: Do the UofR MS and take the same classes as the PhD first semester but start your studying now. You already have a CS undergrad degree if you want to pursue SWE jobs, but if you want to enter a more specialized role like an ML engineer, data scientist, AI research, etc an MS in Data Science will stand out more. 2 is a valid concern and very true. If you are talking about the Master of Computer Science (MCS) degree vs the Master of Science in Computer Science (MSCS) degree, then it comes down to what you want to do after you get your degree. Posted by u/Valuable_Version_517 - 23 votes and 21 comments The undergrad research I did in theoretical CS was all math/theory and no coding. I personally don’t think it’s worth an online MS if you’re paying it out of your own money or if you’re not working full time. I also got CMU's MS in SoftEng, but I doubt it's not as good. Not many employers crave software developers with advanced research skills. MS in CS vs. Very few MS students transition to a PhD, mostly because it’s two demographics of students (industry vs academia. MS vs PhD for NASA Hello, I am about to start my last year of my bachelor's in CS. I know the M. This of course can go up to 8 or 9 years (which isn't as uncommon as you would think). A master's may also allow this though. ML engineer, etc. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not found in the first party app. I did not do a regular MS in CS at Columbia, but I know a number of friends who did their MS or BS in CS at Columbia and then got accepted into Columbia's CS PhD program. Is this true? or am I better off applying to the MS program given my lack of research experience? I am planning for MS CS in fall '23 and i just wanted to know what are the chances of me getting into UIUC My profile goes like: Gre : 312 TOEFL : 105 GPA : 9. MEng in CS . If you have below a 3. Hi, Applying for MS but intend to pursue PhD later (CS, Data Former Yale CS undergrad here who did the combined 4-year BS/MS. Should I go for the full MS or would a graduate certificate be sufficient? contrary to what everyone else is saying in this thread, I think you should go for Data Science. A candidate who graduates from MSCS is definitely higher caliber than MCS due to selection criteria (unless MCS candidate has drastically improved in 1. This still stands true even if the MS tuition comes out of pocket though this option is certainly much less attractive. The Reddit Law School Admissions Forum. When I did my PhD maybe 1/20 or 30 graduated in 5 years or less without an MS. And also will cost way lesser than a MSCS degree. 0 and now want to compete among the best CS majors in the world, you're going to have a rough time. I want to eventually be able to develop/research and apply cutting-edge AI and ML algorithms to biology (specifically in cancer research, drug discovery, prediction). But the MS in CS for Courant is extremely research oriented while the MS in CS at tandon is less of research oriented and more towards industry. Hi, I'm an international student nearing the completion of my Bachelor's in Computer Science this summer. 57/10 CGPA (Electronics and Communication Engineering in VIT, Vellore; a tier-2 institute in India) I applied to 8 universities and have gotten acceptances from ASU MCS and NYU Courant MS CS, and am waiting for status update from 2 other prospective but difficult to get into universities. MEng is generally easier to get into compared to MS, but Berkely is probably an exception based on how competitive they described the program to be on their website (12% acceptance rate etc. Some talented MS statisticians can do that high-level leadership work once they get significant experience. I have acceptances from Georgia tech, U Maryland and U Michigan for PhD ML/CS but wouldn't mind going to CMU if there is a decent chance that I might get a PhD admit. Plus, it's at the same school as MS #2 so even though this was my first semester, it's really like I'm already a 2nd Year since most of that MS transferred into the Doctorate. The Tufts program is a bit more expensive, but besides that they seem quite similar. And as for ultimately getting a PhD I’m personally aiming for a PhD but am opting to do BS/MS to explore a bit more research paths. She told me that if this is a long term career path for me, then definitely I will hit a ceiling. The MS program for people not looking to begin advanced research is mostly there for career changers a Hey everyone, I'm looking into going to grad school next year. I was considering apply to a PhD program because I love research and I like theoretical CS more than actual programming. It’s like comparing apples and oranges. UCSD has a much better reputation in general and is largely a more selective school. There just aren't enough seats to give everyone a CS degree. If I get my PhD in CS and focus on theoretical CS, will I be taking mostly math and theory classes, or will I still need to take some coding based classes? This probably depends where I go, but I don’t need or want more experience coding. The PhD never really really recover from the 4-5 (or 6-7!) years Its closer to 6-7 years if your coming in without a MS. Most professors prefer PhD or undergrad students as most of them know that the MS programs accept anyone with a fat enough wallet. However, I’ve been questioning whether I want to pursue an MS or PhD. Jun 26, 2023 · It depends. In fact i arguably hate the programming (debugging etc) part and mostly see it as a means to an end. From what I gather, most of the department is somewhere in the middle of the EE vs. e. About me: BA in CS from a higher ranked liberal arts school (one of the NESCACs) Focused my coursework on machine learning Did research in reinforcement learning for my undergrad honors thesis The downside is that the more advanced theory classes are gate-kept for PhD students. r/NursingUK. My main motivations for pursuing another degree are that I love learning, and also I do want to advance in my career and be able to move up to higher-paying jobs. 3-4 years instead of 1-2. There’s a lot of programs that have MS to PhD transition for current MS students so they don’t have to go through the typical programs. In terms of research, both the labs are quite similar. I feel the same for most US CS programs outside of the absolute top 5. in computer science in the near future, I would recommend you select the computer science Ph. Wanting to do research is one of the few reasons to get a graduate degree. The reason is that that name and being CS itself would help recruiters consider compared to what I have now. I'm super confused. but from what I’ve read this is usually a longer path to a MS. Just be forewarned, AI has made a In CS, a PhD will get you working on more specific problems at a company (e. What I know right now is PhD will take 5-6 yrs compared to MS which is only 2 yrs, but the obviously PhD would be having more value and better opportunities after completing. I am an international student applying to UIUC ECE. The difference between Cornell and Columbia isn’t slight. S. A lot of students can build relationships w the profs at that uni and the prof can give u admission and funding for the PhD. I am majorly confused with the 2 acceptances. programs in the UK (Oxford, Cambridge, Edinburgh, UCL, Imperial) are prestigious as the top 20 schools in the US. There is a lot of luck going into PhD admissions, and the stars usually have to align for you to get admission into a top 10 program. In fact, any time anyone brings up Tandon CS, the first thing you invariably hear is that Courant CS is better. In general, if you contact potential research advisors early on, show enough seriousness and devotion in your research, and lead projects that led to paper submissions, you It depends on your long term goal but generally PhDs will be funded while it's not as common for MS degrees. I would not recommend a statistics program for what you outline. I do not like academic research as much as industrial research. Open some finance doors and a lot of consulting doors. The only jobs that require PHD are at universities, the rest will take a MS. 5 year Columbia MS in CS, the 1. My plan as of now is to get an MS, work in the industry for a little, then potentially consider going back for a PhD in CS or ECE. Cornell has Turing award winners, whereas Columbia has just produced its first this year. So if you’ve been admitted into a funded MS/PhD program, you’ve effectively been admitted into the PhD program. But he got that while he was working and his employer paid his tuition. In fact, at some schools that admit a lot of MS students, PhD students sometimes have higher priority in course registration compared to MS. You would be limiting your job possibilities if you insisted on those types of jobs. MSCS is geared toward those who want to enter academia, it is generally a precursor to PHD. Not sure what curriculum you're looking at, but every school I applied to and the one I got my PhD from had basically the same curriculum for the MS and PhD students for the first two years. I'm getting all of my applications ready for this upcoming round in the Fall (around September). A marriage is an oath to see a thing done until your death. There is a difference in biostatistics. As a CS PhD at Stanford, I personally was rejected from UT Austin. I think it's an acceptable solution. Thanks in advance. My aim is to gain research experience in the field of computer architecture. PhD will not be economically efficient versus getting an MS and going straight into the industry and making the big boy money. I’ll also say that if you do not wish to continue on to a Ph. But given the crazy competition in CS PhD admissions outside it seems unrealistic to me to apply without a Masters from a good institute. X university was the first one I applied and the SOP was not the strongest one and I think for that reason they recommended me for MS instead of PhD and offered an assistantship. I'm a PhD student in CS, who also completed MMath (CS) Thesis here right before. Due to the CS bubble right now, there will be a lot of people who want to do CS but maybe aren't cut out for it. yes, the phd is funded, but your field of study becomes a lot more narrow and requires 6-7 years full-time to complete, while you can do an MS part-time in ~2-3 years and develop pretty general skills. I asked the same question to a Microsoft Employee with a MS working on language models. I can't speak to the financial considerations so keeping that out of scope, and I'm also not terribly familiar with Cornell for CS graduate study besides general reputation. I'm an international Computer Science graduate and I applied only for PhD in CS programs (all in USA), with my interests mainly being in the fields of NLP & ML. Yale CS experience differs a lot between undergrad and grad. If your references say they wish you would come to their PhD program, that is a super big plus. erws xsijsh raws ogtjmnpjq xuyrh hex rbujq gvdzs kwfrim fhfjhz tmw uhie bdkir spzcf uhtvcyye