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Found 326 results

  1. I had an underwhelming GPA in a difficult major from a top 10 but underrated public research university. I'm also in my late 30s - I've been thinking of grad/professional school for a long time, but I know it will be very challenging, and may not be worth it.For a while now, I'm been thinking of applying to the M.A. in Asian Studies at UC Berkeley and the M.A. in Asia Pacific Studies at University of San Francisco. I'd much prefer Asian American Studies, but very few schools offer an M.A. in that - the closest one seems to be UCLA, and I'd like to stay local and commute to school. There's an M.A. in Asian American Studies at SF State, but I know that SFSU doesn't have anywhere near the name recognition of UCB. My goals for those programs is to write, get published, be a "thought leader" (sorry if it sounds arrogant; it's not meant to be) in Asian or Asian American Studies, maybe lecture, and possibly teach in some capacity. My main goal would be to be a published author, whether through books, articles, journal papers, online digital content, etc. I just think of these master's programs as giving me a jumping point into what I want to do. I'd also love to go through the grad school experience - it would probably be very personally enriching. Also, like many people, I've always thought I would go to grad school, and it would be great to go to grad school at a top university. Any thoughts on the M.A. in Asian Studies at Berkeley, the M.A. in Asia Pacific Studies at USF, or the M.A. in Asian American Studies at SFSU? Has anyone gone through those programs, or know people who have completed them? How hard is it to get into those 3 programs? What is it like taking those programs, what do you learn or get out of it, what are the courses/students/professors like, and what do students do after they get their M.A.? Any other schools/masters programs you can recommend to me that are in the Bay Area, close to San Francisco? I'm also open to online masters programs, but there are hardly any offered in these fields, and they're from no-name and questionable schools.
  2. What better place to find people to share application anxiety with? I haven't seen another thread like this yet so here we go. Which programs are you applying to? Where are you from? What are your biggest concerns about applications? I'll start. I'm applying to a grand total of two schools (I'm obviously crazy) because I want to be on campus and I have to stay in VA. I'm looking at JMU and Longwood and honestly don't know what my chances are but I'm going to try to be optimistic. Figured I'd start applications early on CSDCAS but maaaan this process is waaay slower than I had anticipated! I'm so excited for grad school though!
  3. Hi all, This is my first post on here as I am just getting acclimated to the application process. I was wondering for those who have applied and gotten accepted to either neuroscience or molecular biology PhD programs, what was your gpa, gre scores, and other stats when accepted? I feel I am more behind then other recent applicants when I talk to them so I wanted to know my admission chances based off of my stats. I have an associates in engineering science from SUNY Broome with a 2.7 gpa, I will be graduating this coming year with with a bachelors of science in biological sciences with a minor in statistics from the University at Buffalo. Currently my GPA at UB is a 3.15 but I have another semester before I submit my apps so there is room to improve. I have almost 3 years of combined research experience in the two molecular biology labs I've worked in, a conference presentation based off of research, and I have been a TA for the advanced molecular biology class at UB for almost a year. The PhD programs I plan on applying to so far are: UB - Biological Scences, UB - PPBS Stony Brook - Genetics Washington U - Neuroscience UMich - Neuroscience And a few other similar programs... would anyone be able to help me with what my admission chances would be? Thank you!
  4. A.S

    MIRHR STUDENTS

    hello, I am currently in my third year of my undergraduate degree and I am really interested in the MIRHR program at uoft. Hence, I was wondering if any current students or alumni's of this program can answer a few questions for me regarding the program so that it can help me in deciding whether this is something I want to purse. what average will I need to get a good shot at getting in? i saw that the website said 3.33, but im not sure if most students in the program come in with a higher GPA. How are the courses structured? Is it more like a seminar for every class? given that my undergrad is not in business or HR, how relatviely difficult do u think it will be to succeed in the courses..especially the economics one I will greatly appreciate it if anyone is able to answer any of the questions. Thank you for ur time!
  5. Profile Evaluation ==================== Field Interested in: MS in Computer Science and MS in Data Science or related fields Targetting Fall '19 College: BITS Pilani - Hyderebad Campus CGPA: 9.1 in B.E. Computer Sciece GRE: 328 (with 158 in Verbal), 4 AWA TOEFL: 115 (with 25 in speaking) Internships (all related to Data): Google Summer of Code - Summer of 2016 Research Internship in University of Bologna, Italy - Summer of 2017 Undergrad Thesis at LiP6, France - Fall of 2017 Work Exp: Working as a software developer (in Data Team) since July, 2018 at Oracle 2 Paper publications 1 in an obscure conference and the other one in a B rated international conference. Have done multiple pet projects in the area of interest and been a part of various cultural and technical groups at college. I like to play with data and would like to pursue a course with concentration on the same. After (quickly)going through the websites and courses of some universities, I following universities interesting: - UIUC, MSCS - GATech, MSCS - CMU, MSCDS - UMich, MSCS - UW Madison, MSCS - UWaterloo, MMath - UCLA, MSCS I'll be really grateful if someone could please help me in categorising these as Ambitious/Mod/Safe. Is this is a good set of school to apply or just over-ambitious? Also, it'll be great to know if there any other good programs/universities that I might have missed. Would also be a pleasure to connect with seniors who might be able to guide me in writing the SoP. Thanks in advance, all the lovely people of the group - it has been a great help.
  6. I read https://forum.thegradcafe.com/topic/110566-2019-statistics-phd-applicant-profile/?tab=comments#comment-1058618935 which is Statboy's post. this post is quite similar to me so i became curious about my profile (his profile seems better than mine tho) Undergrad Institution: Top 3 South Korean University (Science and Technology) Major: Mathematics Minor: Physics GPA: 3.85/4.0 Major GPA: 3.92/4.0 Minor GPA: 3.93/4.0 Type of Student: (International) Asian male Relevant Courses: Calculus(A)(~StokesTheorem), Differential Equations (A+), Analysis I, II (A), Linear Algebra and Its Application (A+), Linear Algebra(theoretical)(A) ,Discrete Mathematics (A+), Probability and Statistics (A+), Complex Analysis and its Application (uses Brown-Churchill's book) (A+),Complex Analysis(Stein's Book)(A+), Abstract Algebra I ,II(A), Differential Geometry (A), Topology (A-), Graduate level Real Analysis I (A+), Introduction to Probability Theory (A+), Macroeconomics (A+), PDE(A+), (theoretical)ODE (theoretical) (A+), (Graduate level) Variational Calculus (A-), Mathematical Modeling (A-), Mathematical Physics(A+), Quantum Mechanics I,II (A+) Planning to take next semester : Mathematical Statistics , Graduate PDE, Time Series Analysis (maybe?) TOEFL:100; 30/29/23/18 (I accidently got 18 on writing section, so gonna retake) GRE: 161/170/3.0 (V/Q/AW) GRE Subject Mathematics: 900 (94%) Programs Applying: Statistics PhD Research Experience: - one semester research experience (scholarship included) with a math department professor on PDE. Ended with a written report submitted to the department. - one summer long research experience in national math institute about machine learning - (gonna participate research in applied math lab which also does machine learning next semester) Teaching Experience: Tutored several Undergrad math,physics course (including analysis I) TA for Calculus I& II Recommendation Letters: Three; all from math dept Computer Skills : C, Python (Tensorflow, Keras and some other ML packages) Research Interests: statistical learning, Reinforcement Learning, Bayesian statistics, statistical inference , theoretical/mathematical approach to statistics, statistical modeling Applying to: Statistics PhD Stanford, UChicago, UPenn, UWisconsin, UNC, NC State, UMichigan, Columbia, Cornell, Iowa State, Penn State, UMinnesota, Purdue, UIUC, JHU, CMU, Duke, UCDavis, OSU, NYU, Concerns: (same as Statboy's post) Not having a specific field of interest within statistics (mainly statistical learning tho) Not having enough research experience/published papers. Being an international student. not being from stat department. (LOR all from math dept) Hi, I found this forum today and saw https://forum.thegradcafe.com/topic/110566-2019-statistics-phd-applicant-profile/?tab=comments#comment-1058618935 this article and he was asking questions exactly what i wanted to know. Following is the questions that Statboy wrote in his article, which is same question that i'm asking. I would really appreciate any sort of feedback, especially regarding school range. Also, any recommendations for schools that I failed to mention above would be extremely appreciated as well! Thank you in advance! and Thank you Statboy for posting your profile.
  7. People's behavior is largely determined by forces not of their own making. Write a response in which you discuss the extent to which you agree or disagree with the statement and explain your reasoning for the position you take. In developing and supporting your position, you should consider ways in which the statement might or might not hold true and explain how these considerations shape your position. People invetibaly are shaped by external circumstances, as is also said by psychologists. You see every day how one automatically becomes rowdy and energetic at a football stadium, clearly influenced by the thousands of foot-thumping football fans cheering for their teams. On the other hand, one acquires an air of civility when attending a ball or a royal event. These examples clearly show how one is a slave to one’s surroundings. If we look at children and see how they develop, it is often seen that the offspring of educated, white-collar workers, whether they are scientists, businessmen or engineers, will inevitably turn out to be responsible and thoughtful citizens. A child surrounded by logical, thoughtful parents, who focus on building positive traits, will be inclined to exercise his or her mind. On the other hand, if you look at the children of working class people or those from broken families, you will see a distinct pattern emerging, wherein the child will not be too keen on going to school or that he does not value relationships. Why would he when he has never seen his parents valuing theirs. No wonder psychologists emphasise the importance of providing a positive, encouraging environment for children. Our surroundings influence us in myriad ways. Not just individuals but whole societies are impacted by forces not of their own making. For instance, if you live in a fair, free and just society, you would be more prone to treating men and women fairly, but if you have grown up in a patriarchal society, you would tend to sideline women. You would not think twice before judging a woman on what she wears or what she eats, drinks or who she goes out with, a thing for which you would be scorned in the West. Further, it is often seen that people in violent areas, where there is little respect for the law, tend to be less civil than those living in more respectable places. However, one cannot totally assume that this argument is infallible. Clearly, you can do a lot to regulate your behaviour. History is replete with examples of men who have fought against the odds and the circumstances to change the world. Nelson Mandela lived in a country afflicted with aparthied, but he chose to battle this ideology, inspired by the works of nonviolent and fair-minded leaders like Mahatma Gandhi. Even then, it is clear how forces beyond our control heavily influence our behavior. If we recognise this and work towards correcting this bias of ours, we can definitely become better human beings.
  8. The following appeared in an article written by Dr. Karp, an anthropologist. “Twenty years ago, Dr. Field, a noted anthropologist, visited the island of Tertia and concluded from his observations that children in Tertia were reared by an entire village rather than by their own biological parents. However, my recent interviews with children living in the group of islands that includes Tertia show that these children spend much more time talking about their biological parents than about other adults in the village. This research of mine proves that Dr. Field’s conclusion about Tertain village culture is invalid and thus the observation-centered approach to studying cultures is invalid as well. The interview-centered method that my team of graduate students is currently using in Tertia will establish a much more accurate understanding of child-rearing traditions there and in other island cultures.” Write a response in which you discuss what specific evidence is needed to evaluate the argument and explain how the evidence would weaken or strenghten the argument. Anthropologist Dr. Karp says that Dr. Field’s conclusion about Tertian village culture is invalid and so is the observation-centered approach to studying cultures. This argument is flawed as it contains causal, analogical and statistical errors, which once corrected will unravel the argument, thereby proving that its assumptions and implications are incorrect. Firstly, Dr. Karp after interviewing some children living in a group of islands that include Tertia finds that the children spoke more about their parents than other adults in the village. This he says proves that Dr. Field’s conclusion that children in Tertia were reared by an entire village rather than by their own biological parents is invalid. Dr. Karp hereby commits a causal error. Just because children spoke more about their biological parents than other adults in the village doesn’t mean they weren’t parented by the whole village. Dr. Karp provides little explanation as to how he reached this particular conclusion. Had he provided more information on who spent how much time on raising the children, his argument would have been stronger. Secondly, Dr. Karp commits the analogical error, saying that since he proved Dr. Field’s conclusion about the village wrong, he has proved the observation-centered approach to studying cultures wrong. This statement does not hold water. The observation-centered approach must be broad-based and could have been used correctly by several anthropologists in the past. In order to make such a strong statement, Dr. Karp should have provided more data and explained how he thinks this approach is wrong, typically taking a systematic approach and studying the technique closely, such as its methodoly. Lastly, Dr. Karp doesn’t say anything about the size of the sample of interviews his team has collected. If the size is too small or not representative enough of the whole village, his findings will prove to be incorrect. Further, the methodology used by his team of graduate students has not been discussed; it could be possible that they asked the wrong questions to the children, not asking them more about the time they spent with their biological parents. This shows that there are plenty of gaps in the argument, which if rectified will illustrate that Dr. Karp’s argument lacks substance and hence is flawed. As pointed out, these errors are serious, which if not corrected can result in one making wrong conclusions. Until and unless, Dr. Karp systematically provides considerably more information, we cannot make any statement about whether or not Dr. Field’s conclusion about children in Tertia being raised by the entire village is false.
  9. The best way to teach is to praise positive actions and ignore negative ones. Write a response in which you discuss the extent to which you agree or disagree with the recommendation and explain your reasoning for the position you take. In developing and supporting your position, describe specific circumstances in which adopting the recommendation would or would not be advantageous and explain how these examples shape your position. The prompt says that the best way to teach is to praise positive actions and ignore negative ones. Now many might say that to spare the rod is to spoil the child, but the fact is that positive reinforcement can result in remarkable improvement in a student. This essay will discuss why the best way to teach is to praise positive actions and give examples in support of this claim. In education, as we all know, if you keep criticizing the student and not praise his or her achievements, it can lead to discouragement and in extreme cases, can cause the student to lose interest in studies. This has been proven time and time again. Therefore, in the developed world, there is heavy emphasis on positive reinforcement and building children’s confidence as in formative years, a negative or traumatic school experience can be detrimental to a person’s mental health. On the other hand, the developing world still seems to be stuck in the past, with teachers sticking to old hectoring tactics even resorting to beating when the child has made mistakes. They believe that if children are complimented for their achievements, they will complacent or that they will become arrogant. One can only witness how detrimental it has been to the developing world’s progress. Moreover, it is evident how the West has implemented this positive reinforcement in the field of sports to its advantage; it is arguably producing the best sportsmen in the world. A coach would typically focus on what the athletes are doing well and help them build on these successes. Most athletes are taught the power of visualisation, wherein they would imagine how well they would play in the game before it begins, thereby helping them get into a positive state of mind and alleviate stress and anxiety. Even in performance art, the teacher would often stress on the artistes’ strengths, accentuating them in order to get the best out of them. For instance, while casting, directors or casting directors would only choose those actors for a particular role, who can naturally play it, as in they will only cast a serious man in a serious role or an artful person in a cunning role. This being said, one can understand how totally ignoring negative actions can be disastrous. So one needs to be cautious in not totally ignoring negative actions, how else will a person learn from his or her mistakes. But at the same time it is a common mistake to lay all the focus on rectifying faults insead of building on strengths or positive actions. Thus as we can see how positive reinforcement can help people realize their potential, the best way, indeed, is to praise positive actions and ignore negative ones as much as one can.
  10. Hey everyone! I got my first interview offer and I'm soooo excited!! Please feel free to post your interview offers, updates, and acceptances when they arrive! Optional info you may want to include in your post: What schools you applied to in California Schools you've received interview offers from and when they arrived Feedback on your interview and questions they asked you Any other info you want to add
  11. Hello Beautiful people, May you kindly help me evaluate my feasibility for MPP Programs in the US. Here is a brief overview of my profile; 1. GRE 332 (169 in Quant, 163 in Verbal), Toefl ibt 109 2. Undergraduate degree: Mechanical Engineering (2015 Graduate)3. GPA: 3.304. Work Experience: Present: 1.5 years since working in a non-profit as a Program Assistant developing policy proposals; Previous: 1 Year in Mutinationals including Engro Corporation, MOL Oil & GasI would especially like to hear the opinion of people already studying in MPP or other relevant programs; however, I am all ears to anyone providing a sound advice. I am also concerned about my undergraduate education not aligned with the social sciences. 
  12. I'm a Mechatronics undergrad thinking of applying to the RSC Masters at ETHZ next year, and had a few questions. 1) Anybody know what the admissions statistics are? I already know they're quite high, but it'd help me determine my chances. I tried getting in touch with their admissions department for statistics, but it seems that they don't give them out. 2) Should we reach out to profs with our info (GPA, GRE, research interests) to see if we're a good fit for the program? Wasn't sure if this is appropriate, but I thought it'd be a good way to gauge my chances as well. For reference, my profile is: Mechatronics Engineering Bachelors at top 5 Canadian University GPA 3.9 GRE 170Q/164V/5AW 1 year of work experience 0.5 years of research experience (not in desired field of study though)
  13. Victoria Carvalho Salles

    Masters In Europe 2018-2019 Cycle

    Anyone applying to any masters in Europe this upcoming cycle? I thought we could discuss it here! I’m applying to Science Po and IHEID.
  14. Hi! I know its early. But considering the success of Fall 2017 forum, I thought we should start Fall 2018 discussion thread early! Good luck preparing for your applications!
  15. I know this probably isn't quite a usual post, but since a couple peers have suggested that the answer to the given rhetorical question might be "yes", I figure I should run it by the experts: I'm applying this upcoming year, and I anticipate graduating with 4 majors -- pretty much, I was double-majoring in Econ and Psych, and then added Math and Stat later on. Will admissions committees see my CV/transcript and think that, say, I have a hard time being decisive, or won't be committed to statistics long-term? Should I at least spend a portion of my personal statement explaining (in more words than above) how I came to have 4 majors, so as to help explain my situation and prevent any presumptions of waffling? While I'm at it, is there any chance admissions committees would think this is a positive? Most people here appear to be double-majors at least, so I'm assuming not, but if schools really look at GRE scores in any detail like this post (https://forum.thegradcafe.com/topic/99147-what-im-looking-at-when-i-review-applications/) would suggest, then maybe they would look at strange numbers of majors too? Well, have fun skewering me, hopefully at least I've made y'all's weekends more enjoyable by laughing at this topic.
  16. Undergrad/grad Institution: Vanderbilt Major: Molecular and Cellular Biology Minors: Scientific Computing, Chemistry, (maybe math, if I decide to take diff eq) GPA: 3.8 Type of Student: Domestic Asian Male Relevant Courses: Single variable calc 1 and 2 (5 on AP test), multivariable calc (A-), intro to stats and probability (A-), stats lab (A), biostats (A), genome science (A), thermodynamics (A-), calc-based physics lecture and lab (A), Data Science Methods for Smart Cities (A) Courses in progress: Foundations in bioinformatics (grad course), linear alg, real analysis GRE: Taking in a week, but I got 180 quantitative on all practice tests, 155-160 on verbal Career goals: Leaning towards industry. Interested in bioinformatics, and I want to get a solid education in the statistical theory behind it Programs Applying: Biostatistics PhD (only applying to MS programs if PhD apps don't work out) Research Experience: Two years worth of research at Vanderbilt (one project on RNAseq analysis, new lab focused on machine learning for genetics) One summer internship in industry focused on machine learning and medical imaging Just got back from 3 week Summer Institute in Statistical Genetics at UW. Mostly just attended lectures, but I luckily got to talk to the UW professors a little Recommendation Letters: One from biostats prof, the other two from PIs from two diff labs, one of whom is a big name in evolutionary genomics Coding Experience: R, Python, Matlab Applying to: University of Washington University of Michigan University of Minnesota UNC Yale UPenn MD Anderson Duke University of Pittsburgh Boston University University of Rochester I know my math background is lacking, but I only recently became interested in biostats, and I'm trying to make it up by taking more math courses senior year. Any tips? Or schools you would add/remove from my list?
  17. Pretty much all the profs I'm asking for a letter from I've done a fair amount of research under. However, I haven't spoken to a couple of these profs for a few of months and considering how busy they are I wouldn't be surprised if they've mostly forgotten about the specifics of what I did. So I thought it might be a good idea to attach a document summarizing my work with them when I ask for a letter, and I found a couple of other posts here that suggested doing the same thing. For this document, I was wondering if it would be a better idea to give a detailed page or so long description of everything I did or 5-6 bullet points summarizing my main contributions. The obvious benefit of the former is that I get to remind them of the details of everything I did, but it comes at the risk of them not wanting to read so much and pretty much ignoring the document. For people who have done this in the past/planning on doing this now, what does your summary's format look like and how long/detailed is it?
  18. socialinsects4eva

    Mol/Cell Bio program competitiveness

    The individuals I'm very interested in working with for PhD research all accept new students under a variety of programs. I'm torn between a few general categories, primarily because I'm concerned about differences in competitiveness and qualifications for these programs. The options are something like ecology/evolutionary biology, and more biomedical science programs like molecular/cellular biology. My background is more molecular intensive, but I haven't taken as many chemistry courses as I'm sure others applying to those programs will. Do you think this would be an issue, or am I overthinking it?
  19. Nit Kul

    Wrong Dept. Code

    While sending scores, I have entered department code as 1204 (Electronics Engg.) instead of 1203 (Electrical Engg.) as most MS programs in ECE recommend. What should I do?
  20. Kanika2

    PhD admission chances

    So I've never posted on such a forum before so I'm sorry if some of the language is wrong. I am an undergraduate at UT Austin, graduating in December and stuck between opting for a masters or a PhD. Ideally I would love to do a PhD but those are tougher to get into so I was hoping to lay out my stats and get some honest opinions. I have plenty of research experience including a research assistant internship, research with two professors and two of my own research projects. I have also presented this research at three conferences and one those was the MPSA. I also have alot of experience working with sexual assault ngos (I want to focus my research on this in conflict zones) and I have training that allows me to directly work with survivors. I also have grant writing certification. Im hoping to have one publication done by the time I start applying. But the caveat is that my GPA is just a 3.4. This is because of science and other core requirements. My Government / Political science gpa is actually a 3.7 with mostly all As Do you guys think I have realistic chances of getting into a good PhD programs and if so, which ones? I haven't yet given my GRE but the diagnostic showed a 164 verbal and a 154 Quant which I'm sure I can raise significantly after prep. I also have very good professors that I'm asking for recommendations and am planning on working on my sop quite a bit. Sorry if this is a bit wordy and jumbled.
  21. Recent incursions by deep-sea fishermen into the habitat of the Madagascan shrimp have led to a significant reduction in the species population. With the breeding season fast approaching, the number of shrimp should soon begin to increase. Nonetheless, the population should not return to the levels before the fishing boats arrived. Because this trend is expected to continue over the next several years, the Madagascan shrimp will quickly become an endangered species. Write a response in which you discuss what specific evidence is needed to evaluate the argument and explain how the evidence would weaken or strengthen the argument. The argument doesn't seem to be coherent, making several assumptions without reasoning through the various questions coming to mind. Firstly, it doesn't make clear as to why the species population fell sharply, merely saying that recent incursions by deep-sea fishermen into the habitat of Madagascan shrimp led to the drop in population. The argument doesn't say whether the fishermen caught shrimp or fishes that the shrimp fed on. We just don't know what caused the population drop. There could be other reasons for this that may not be linked to the fishermen's incursions in the area. For instance, global warming could have caused the water temperature to rise, making the area unsuitable for shrimps or there could have been an environmental catastrophe such as a big oil spill that killed the shrimp. Secondly, the argument says that shrimp population should not return to levels before the fishing boats arrived, adding that this may result in Madagascan shrimp becoming an endangered species. This statement isn't logically sound. Even if we assume that the shrimp's population declined due to the fishermen, what's to say the species will not become extinct if the population doesn't return to its previous levels. The deep-sea fishermen can still catch the remaining shrimp, and thereby reducing their number bit by bit every year until they go extinct. Thirdly, if we assume that the shrimp's number doesn't reach levels before the fishermen had arrived, they can still catch the shrimp and reduce their population drastically. Further, if the shrimps were not to increase in population and the fishermen were not to catch them, how do we know that their numbers will increase, not knowing how many times their breeding season occurs in a year and how much time do they take to muliply. These are all gaping holes in the argument. Unless these things are made clear we can't reach the conclusion that the argument has reached. Also, we are also not told how many times the fishermen come to the area. Do they come once in a year, six months, three months or every month? Before making any more deductions from this argument, we need to be told what is the population of shrimp in the region and how many shrimps have the fishermen supposedly caught. Without these numbers, the argument comes across as vague. Only when we know how fast do the shrimp multiply and how many are caught can we make projections about the extinction of the shrimps. These are some of the assumptions made in the argument and without answering the abovementioned specific questions, we can't reach this conclusion. To be cogent, the author needs to think through the argument.
  22. Universities should require students to take courses only within those fields they are interested in studying. Write a response in which you discuss your views on the policy and explain your reasoning for the position you take. In developing and supporting your position, you should consider the possible consequences of implementing the policy and explain how these consequences shape your position. Although it seems practical for universities to offer courses within those fields that the students are interested in, it does itself no favours by doing so: becoming less flexibile in terms of offering diverse courses will only reduce students' choice, thereby limiting their creativity in research. In today's times, when interdisciplinary courses are encouraged, universities will limit themselves by clearly differentiating between various fields. There is an increasing need for students to think on multiple levels, especially as rapid technological advances are bringing togther, and not segregating, the sciences and arts to offer enriching experience to the consumer. For instance, laptops are not only a utility to crunch numbers, but a style statement with increasingly user friendly designs, courtesy Apple, taking the consumer market by storm. One can also see how technology and the medical world are coming together, wherein some doctors operate on patients located thousands of miles away via computer-operated robots. This will increase consumer welfare, with scientific innovations leading to cheaper products. Letting students study persuasive prose as well as mathematics will only open up their minds, enabling them to understand that there is mathematics in writing compelling prose and that mathematics requires good instincts. Some of the greatest innovations have come from America, where interdisciplinary studies are encouraged, helping students think creatively and breaking the mould. Who would have thought you could get everything under the sun, from the most insignificant items such as toothpick to expensive, top-notch laptops, at your doorstep at the click of a button. If it were not for Amazon, which took the lead and today enjoys immense market power, our lives wouldn't have become significantly easier! Amazon chief Jeff Bezos married latest techonology with keen business sense to come up with this revolutionary and simple idea. I am guessing his education at the Ivy League must have played a part in his original thinking. On the other hand, compartemtalising students into either science, arts or commerce fields at the age of 16, leaving little room for them to explore other fields have reaped no dividends for a country like India. At a time, when everything merges into everything, you can't have engineers with no communication skills or journalists not knowing basic arithmetic: after all, journalists will become better if they use quantitave techniques to back their stories with data, like The New York Times or other top newspapers do. My point is that in today's age, where the next economic boom will be primarily hinged on the next big idea, we need to keep ourselves and our education open and flexible, enabling the youth to think out of the box.
  23. hopefulslp_2be

    Low GPA--help?

    Hi! I am a student at UNC Chapel Hill and only started taking SLP pre-reqs my junior year, and in the years before this I was a nursing/PA student with a low GPA. My GPA in pre-reqs is a 3.7/3.8, and my overall GPA is a 3.1. My GRE scores are alright... 159 V, 153 Q, 5.5 W. I have lots of experience working with my desired community (children) and am looking to participate in research this coming semester (I will be a senior in Fall 2018.) I am also going abroad this summer to Belize and volunteering at a clinic there. I guess what I'm wondering is.. do I have a chance anywhere? With that low of a GPA, but good LOR, experience, and what not, can I still get into my desired programs? Programs I know I'll be applying to are UNC, UNCG, ECU, App State, U of Tenn, U of Memphis, FSU, U of Florida. Programs I may be applying to are UCF, Jacksonville, Radford, NC Central, Western, GWU, etc. Thanks for any help, I am very worried lol
  24. PJ9911

    Can someone please help me out

    I have a concern. I am in final year student of Mechanical Engineering. I wish to apply for Masters program in Physics. I have no prior experience in research in physics. However, I am currently preparing for GRE General and GRE Physics Subject tests. Assuming I get good scores in both the tests, what other things do I need to get admissions in good grad schools? P.S. My long term goal is to get a PhD.
  25. eighty8keys

    Fall 2018 Admission

    Didn't see a post here, so thought I'd start one.
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