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Found 15 results

  1. 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.
  2. I have selected Waterloo to pursue my MPH, but this forum is open to anyone who is starting in Waterloo in the Fall 2018! Feel free to join, chat, and ask questions in this forum!
  3. Does anyone know about biostatistic programs in Canada and how they are viewed in the academic/research field? Specifically McGill/uoft/waterloo. From what I have found McGill - some good professors (highly cited/good journals). Students are competitive in top PhD programs like Harvard/UNC/UW/JH . DLSPH- The school itself is at top public health school in the world. The statistics department at u of t is highly regarded as well. I do not know a lot about the biostatistics program, however, seems very applied. Waterloo - Heard this program is the best in terms of training (though not necessarily global reputation). People who work in the field have told me that Waterloo graduates are highly skilled.
  4. I received offers from the Dalla Lana School of Public Health at U of T, Waterloo and Mcgill for their MSc Biostatistics programs. There does not appear to be much information out there on biostatistic programs in Canada. Does anyone have any insight on the pros and cons of these three programs? How are they viewed in the biostatistics field? I am not completely decided on a a PhD yet.
  5. , 2017 (edited) Hi Guys! I don't know if this is the right place to put this thread in, but I couldn't find any similar thread anywhere. So here it goes! All the Masters in Computer Science people who applied in Canadian universities converge here! Share your heart out, how you're dealing with the stress of waiting it out I know it's still early days for admits and rejects but here goes my applied list: UBC, Toronto, Alberta, Western, McMaster, Ottawa, Carletom, Windsor, Lakehead Course: Computer Science Masters in Science/ MscAC/MAC
  6. justapersonwhochangednames

    Applying to Munk 2017 - also NPSIA, GSPIA, BSIA etc

    Hi all, I thought I'd start a thread specifically for those of us applying to Munk and other Canadian international affairs programs for fall 2017. Topic name begins with Munk simply because that's my first choice lol Applications haven't opened yet but I figured, why not Here's last cycle's thread:
  7. I go to SFU in Canada and it's looking like my last semester's going to be a summer semester, ending in August 2018. The unfortunate thing is that most grad programs start in the Fall / early September. Anyone else been in the same situation? Is that too little time to finish up all the admin/paperwork I need to graduate from my undergrad so I can go to grad school right after (literally a couple weeks after I sit my finals probably)? Or is this impossible and should I just not bother and apply for the following year instead? I'm planning to apply for the MDEI program at Waterloo, btw.
  8. formerfactory

    Electrical Engineering Canada

    Thought I would create a thread for ECE applicants to Canadian schools. The major competitions are coming out soon (both for students and professors) and I imagine that many people will hear shortly. I personally have had 3 interviews in early Feb from UofT and one POI let me know he would not be extending an offer, at Waterloo I have POI that I have been in contact with and their admin indicated that professors have until April 1. I am anxiously waiting to hear back. I have heard back from one university with OGS award, and a very generous financial package. A lot of people seem to be waiting, I wanted to see who else has been waiting for MASc/PhD?
  9. Hi, I don't have an acceptance from Waterloo yet, but I'm really confused between these 2 programs. Waterloo would probably cost less than half of Dartmouth. However, taking tuition out of the picture, which one in your opinion seems better? Kindly keep in mind that I also hope to get some exposure/work ex after my graduation. Please send in your suggestions. all your opinions are welcome and would be highly appreciated. Thanks!
  10. Has anyone heard back from the Master of Environmental Studies in Management Sustainability program at Waterloo?
  11. Hi everyone, Recently I have received MS in Biostatistics at Yale MS in Statistics at Waterloo MS in Statistics t UBC For Yale, the advantage is the university has strong reputation, the degree may prove one's ability and be helpful when seeking a job. It will be a great platform to meet decent people and it is kind of my dream when I was a child. However, the disadvantage is the biostatistics program at yale seems not have enough reputation. It is a low-rank program. The other disadvantage is that it is very expensive (though my family agree to support me, it could be a great burden for my family). Since the program is in small scale, I could not find enough information about it. Especially, how was the program? Whether is it recognized in the industry? Is it easy to find a decent job? (Since I heard that one of the possible direction for biostatistics program is data science, but need to compete with graduates of CS) Or is it easier to apply for a PhD degree in Yale? Or is it easy to apply for a decent PhD program in statistics/biostatistics after graduation? For Waterloo, I think the program is quite ideal. It does not need any tuition fees and even offer some scholarship. In addition, I prefer statistics program than biostatistics one. After consulting with my professors in statistics, they all suggests me to go to Waterloo. They said that it is one of the top statistics program and has strong reputation in whole north american. Moreover, it seems comparatively easier to find a decent job in banks or continuously study in PhD. My prospective supervisor seems also very good at research. However, my family and I prefer US as it has larger market and more opportunities. For UBC, the situation is quite similar to Waterloo. If anyone or any seniors have any suggestions or advice, I will be very grateful! Thank you so much.
  12. Hi all, I've been accepted at U of T for their MIRHR program and at U of Waterloo in their masters/phd of I/O psych. some basics: I have 15k funding at Waterloo, nothing at U of T 2 years total length at U of T, minimum 6 at Waterloo My problem: I really liked the lab I interviewed at in Waterloo and think I'd be happy with the people, but I'm not totally sold on going into academia. Everyone there really emphasized the fact that they'll be training me to be a researcher with the assumption that I'll go into academia once I'm done. 6 years is a really long time to invest in something I'm not 100% sure on. I'm also from a big city and when I visited Waterloo I was struck by how EMPTY it was. I'm by no means a party animal, but there was really nothing to do/see/go to in the area. Plus I don't have a car so I'm told it'll be difficult to get around. As for Toronto, I'm really liking the fact that it's only 2 years with a chance to do a phd (if I want to) afterwards. Plus they have a good employment rate right out of the gate. However, I'm worried I'll be shooting myself in the foot if later on it turns out I WOULD like to go into academia. It is a big city though with good public transport (and around 3 hours closer to home) so it's got that going for it. Help? Any advice? I'd love to hear from people who did either of these programs.
  13. cwasson

    PhD: McGill or Waterloo

    Hi Everyone, So I'm currently finishing up my masters degree in neuroscience at a small to medium sized institution in Ontario. I will be applying to my PhD in pharmacy at Waterloo and neuroscience as well as pharmacology McGill in October for January admission. I was wondering if anyone could give me some advice on some questions I have. Do you think it's better to do a PhD at Waterloo (which has a generally new program (2013) with a PI who is still somewhat new and seems pretty lax) or McGill (which is arguably the best university in Canada with a PI who is well established, with a huge lab - I'm just afraid I will fuck something up/I feel like i'd be the dumbest one in that environment; especially considering the grad program I am in now is not the highest ranked) Based on the fact I have my MSc and have talked to these PIs do you think I can get into both schools? Both PIs said they would take me on, but I'm nervous my applications wont even get past the admission committees at McGill (sorry, this is such an annoying question, but I genuinely don't know) Is anyone currently at McGill or Waterloo? If so, could you give me your take on what it's like as a grad student? And maybe if you know someone in grad school, share their perspectives from what they've heard? Has anyone ever switched from behavioural research to molecular research. This is actually my biggest concern. My masters is in behavioural neuroscience but my PhD would be mostly molecular stuff. I have done things like PCR, Western Blots, cell culture on the side but nowhere near full time stuff. Is there a big learning curve? Thanks for your help guys
  14. Hi guys! I was wondering if any of you have gotten any feedback regarding your applications so far, especially from the ECE departments? Best regards!
  15. I never thought I would pursue distance education, but considering the high living costs and tuition (US schools), it seems like distance education offered in Canada by Lakehead, U Waterloo or U of Saskatchewan, University of Alberta might be real considerable choices. Are any downsides of these distance education programs other than not interacting one on one with professors and classmates, etc? Are they actual shortfalls to these programs? Could anyone comment? Much appreciated!
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