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Found 6 results

  1. I recently completed my MSc. degree in Germany. When I started there was not much real information about the pros and cons of studying here. Generic higher studies websites posted generic higher studies terms , and I did not know anyone personally who had moved to Germany. I hope my blog post would help out other people with deciding. About Me : I am from Asia and attended one of the elite engineering colleges in my country for Bachelors. For Masters, I was interested in a course which allowed me to study computer science but was also interdisciplinary. Since Europe seemed to have such courses available, I decided to apply here. My results : I got into 2 courses. One was MSc. Computational Science in University of Amsterdam (https://www.uva.nl/en/programmes/masters/computational-science/computational-science.html) and the other was MSc. Simulation Sciences at RWTH Aachen University (https://www.rwth-aachen.de/go/id/bnzu/lidx/1) . I finally decided to join RWTH. I would like to give my opinion about this decision, in retrospect, and also some comments. The good : 1. Education is free in Germany, even for foreigners. In some states some amount of fees has been introduced for non EU students (around 1500 EUR) which is still considerably less than in other European countries for non EU/EEA students. In my state (NRW) while I was a student, there was no fees for foreigners yet. 2. The cost of living was much much cheaper than Amsterdam. 3. Pretty good and pretty cheap alcohol :D 4. You get a semester ticket which lets you travel in public transport for free, typically in your state and maybe also in other nearby countries. eg my semester ticket allowed me to travel in NRW as well as till Maastricht in Netherlands. 5. The specific course I took had too many non useful mandatory courses. But as far as electives are concerned, we had a lot of flexibility. This also meant lot of flexibility in choosing your thesis topic and department. The bad : 1. Language issues. While my course was completely in English, there were many courses available in German I would have taken if they were available in English, specially from the Math department. 2. In day to day life, living without German knowledge is difficult in Aachen, and NRW in general. It would be much more convenient maybe in Munich, Berlin or Frankfurt. 3. Courses seem too theoretical. It seemed that emphasis was on preparing students for future as PhD scholars, and not preparing for job market. Recently a MSc. in Data Science course has been started and even their courses seem to be too theoretical. 4. Job market is not as good in Aachen as in other bigger German cities as well as compared to Netherlands. Too many jobs, including Software Engineer roles, seem to ask for German knowledge. It gets even more limited if you want to join banks, consultancies etc. 5. Social life : most college events, poetry / quizzes etc are completely in German. This is not the case in Netherlands. 6. Aachen is definitely not as lively as Amsterdam. Few more comments : 1. You should know about the Dutch 30% ruling for expats, if you plan to later take up jobs in Netherlands. 2. It is possible to find industry funded research in both these countries, if that is what you may prefer. 3. Unlike other countries, Germany does not seem to have concept of semester breaks (like a month or 2 break between semesters). I think this is also true for European countries in general. Which means if you would like to do an internship in a different city than yours, you may have to take a semester break and complete the internship. 4. It is normal for MSc. degrees to stretch beyond 2 years. Do not fret to drop a semester and do an industrial internship. Final comments : In retrospect, maybe taking up the MSc. course in Amsterdam would have been a better choice from study and job perspective, but it also depends on your personal situation. If you do not want to spend too much money on grad school, Germany is definitely a better choice, but try to go for bigger cities, like Munich or Berlin. Trying to get in touch with older students from your course over LinkedIn may be helpful.
  2. So the title is pretty self explanatory, but let me really explain what I'm trying to understand. As a prospective structural engineer, I wanted to know the difference between FEA and C.M. To be more specific, computational 'structural' mechanics, as opposed to comp. fluid mech. I have heard that FEA is fairly interdisciplinary, i.e. something that draws a lot from applied math and even computer science. So the question is - how is computational structural mechanics different. And is FEA really employed a lot in construction. I know that it's very useful in aerospace, but how about good ol buildings. cheers.
  3. I am a non EU citizen. Planning to do MS at Uppsala? Any comments regarding future prospects and quality of the program? What are my chances of getting into good grad program at Cambridge/Oxford/ETHZ/EPFL assuming a good performance at masters level?
  4. I am interested in a PhD computational science (developing methods to solve PDEs, specifically) and I want to know how the MIT CDO program compares to the ICES at UT Austin and ICME, Stanford. I have often seen that the MIT CDO/CSE program is not mentioned in discussions about computational science. Is it too small a program? Or not good enough, as, say the CSEM program offered by ICES, UT Austin? (I have a CDO admit from MIT and a PhD admit from ICES, UT Austin. I believe the result for ICME wil come out sometime in mid-March)
  5. I am a PhD student and I had some research funding lined up for the upcoming year, but it fell through at the last minute quite unexpectedly. So right now I'm frantically scrambling to secure some alternate funding. I'm on an F-1 visa, so off-campus employment is really not an option (apart from applying for OPT which takes months to process). This is why I am looking for dissertation fellowship opportunities as well. I know that most fellowships for a given academic year have deadlines early in the year, but I was wondering whether there are some with (very) late deadlines, or consider applications on a rolling basis, etc. My program as well as my dissertation project is on a cross-roads between the social sciences (sociology, economics) and computational sciences (think data mining/crunching, simulation and modeling), so I would be looking for something along those lines. Thanks for any tips.
  6. Hi! UChicago's MACSS is a new 2-year program, so there aren't any alumni to ask. So I wanted to see what any of you may think about it. I found a quote from their Managing Director: “Our program is importantly different from the 10–12 high-level computational programs that presently exist on other campuses. Most of our peers are also one-year programs, and as a result have exceptionally high quantitative thresholds for admission, so there’s really no opportunity to have a shot unless you’ve already done that computational work.” So it seems that this is for candidates who want to go into computing/quant for soc.science, but with little previous math? Judging by their website, they also seem to cater to PhD prep and Big Data analysis. On their sample course tracks they list quite a number of courses on the Bachelor's level. Should that be a concern? What do you all think?
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