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Hi all, I recently heard secondhand that some schools have increased their GRE Quant Score thresholds to a 168 (consistent with 167 falling below the 90th percentile). Can anyone confirm if this is the case? I've taken the GRE 3 times, and every time have scored a 167... My verbal and AWA scores are strong enough (165 and 5, respectively). Will my application be thrown out at top schools before even being considered due to the low Q score? Any information would be greatly appreciated.
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Test Scores (GMAT/GRE): GRE: Verbal 95th percentile, Quant 98th percentile, writing 98th percentile Undegrad GPA: 3.4 overall (Chemistry major), 3.95 in math + stat courses Graduate GPA: 4.00 (Applied Statistics & Analytics) Research Experience: Undergrad: Research in chemistry education, biochem, and analytics (presented at conferences and all that jazz), no journal publications though. Grad: Independent research in time series, bioinformatics/medical analytics, and data science. Research in multiple programming languages (Python, R and SAS) with all sorts of machine learning and statistical schools. Teaching Experience: I am a lecturer of introductory statistics and teach classes along with taking my grad courses. Work Experience: College instructor, data science graduate student consultant for 2 semester (1 semester was for a Fortune 100 Company). Might possibly get a data science internship this summer after I graduate. Concentration Applying to: Quantitative Marketing/Modelling Number of programs planned to apply to: 5-6 (in Fall 2022) Dream Schools: UT Dallas, GA Tech (I'm from Georgia), UGA, Texas A&M (they publish a LOT). -Additional information: US Citizen but a minority in terms of ethnicity Other Questions: What made you want to pursue a PhD? I currently teach at the university level and absolutely see myself doing this the rest of my life. I am interested in Marketing because the quantitative side seems to be heading to a unique intersection of business and data science, both of which interest me. Questions or concerns you have about your profile? 1. I have tons of math and stat courses (all the calculuses, linear algebra, mathematical statistics etc), but no business classes. Keep in mind that I am wanting to go the quantitative side and not the CB side of marketing. Still though, how "bad" is it that I would be applying with no previous MBA or business classes? 2. I have failed classes in my undergrad, BUT those were organic chemistry classes. My math and stat classes are literally all A's, and have made up for my mediocre undergrad science grades with all A"s in my master's in applied stats program. Would those failed chemistry classes hurt my chance of admission, or would they not care since I didn't fail a class related to anything quantitative? Any additional specific questions you may have: 1. Any specific PhD in Quant Marketing programs that would be willing to "take a chance" on someone like me who does not have business classes on their transcript but lots of quantitative experience? 2. Do I have any sort of chance at Quantitative Marketing PhD programs given my heavy stat background but minimal "business" background? 3. If I do have a chance, what program rankings would I have the best shot at getting into (top 20, nothing above top 30 etc.)? 4. I am fine with taking "remedy" classes my first semester or 2 if they want me to have more of a business background. Do PhD programs do this or they want someone with all that already on their transcript?
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Hi,Can you help me to solve below quantitative comparison problem with an lanation? a= 5b^2-10b+7 A B a b Hoping to hearing from you soon. Regards Dinesh
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Hello, everyone! My name is Topher, and I am a Psychology student currently studying for the GRE. I first discovered this forum because I was looking for people to look at my practice essays and give me feedback, although I am also very happy to help anyone else out with any verbal or quantitative reasoning questions with which help is needed. I look forward to studying with all of you! Best, —Topher
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I'm a UK student, and in October I'll be starting my BA in History and Economics at Oxford. For those that are not familiar with the programme, I'll be able to take the same economics options as PPE and E&M students, but combining them with a few history courses rather than politics, philosophy or management. Although it's early, I have recently begun to consider an economics PhD, however I realise that my BA is not particularly quantitative. I'm hoping to apply to top 10-20 schools in the US, since funding is not so generous in the UK and the placement records of even the best programmes here aren't amazing. Would a good performance on a UK Master's programme at Oxbridge/LSE/UCL be sufficient to make up for my lack of maths background? What else could I do to demonstrate my quantitative skills? Thank you for your time :) -
NOT APPLICABLE ANY MORE
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NOT APPLICABLE ANY MORE
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Hi all - I would really appreciate some feedback on my chances of getting into a top 15 Finance PhD program. I'm also open to Econ if I would have a better shot. I think my work experience and grades are strong, but my LORs and quantitative coursework are weak. Not sure where the sum of that shakes out? Age: 28-32 Nationality: US Undergrad GPA: 3.8-3.9 GPA (summa cum laude) GRE: 170Q, 166V Work experience: Manage a sleeve within an absolute return-oriented fund. Fund sits inside an asset manager that is well known in the industry. I also contribute to investment research. We do not publish papers (work is proprietary). However, the topics are often reasonably similar to ones addressed in academia. Relevant quantitative coursework: calculus 1, two stats courses, an intro-level programming course. LOR: Have been out of school for a while, and professors have likely forgotten me, so academic recommendations unlikely to be strong. As mentioned above, my biggest concerns are my quantitative coursework and LORs. In terms of the coursework, I'm planning to take 2-3 non-degree courses to try improve this (but not sure if that's enough?). In terms of the LORs, I should be able to get good work-related ones. I understand that this is generally frowned upon - does that change if my work LORs are from folks with PhDs and have published in academic journals?
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Hello everyone, This year I am studying Msc Economics (Italy Top 3-4) (ranked top 100 in the Repec). Before I came Italy I studied BA Economics(Top 10 in Turkey :) well if we consider the Turkish Universities Ranking, it is obviously not good ranked university Now I am planning to apply phd econ Top 50. My bachelor CGPA 3.51 out of 4. (Math for econ I II (A), Statistics I II (B A) and other econ courses are in the A- A band. I just started my Master degree courses 3 months ago and I think I am doing well but I would like to make a middle term plan for Phd. My main concern is GRE. I am pretty self confidence about GRE quantitative part(>167) but main problem is Verbal part. If I will just take the Gre Quantitative parts and apply with only Quantitative parts,Do you think that it will hurt my admission? P.S. I took 6.5 IELTS but I didnt prepare at all. I assume that I will take 7-7.5 band. Cheers -
Hello Everyone, I am a 26-year old Indian male national looking to do a PhD from a leading US/European business school in preferably a quantitatively - inclined field. My profile for your reference: Class X: 94.00% (ICSE) Class XII: 96.25% (ISC), school topper; 100% in Maths. - Among the 110 candidates in India (out of 50K) to clear ISI's B.Stat admission test. - Ranked 9th in WBJEE (out of 100K) - Cleared IITJEE successfully. UG: B.E. Electronics & Telecommunication Engineering (Jadavpur University) - GPA: 9.0/10 - GRE: 330/340 (AWA: 5.5/6.0) - Among the top 5% of the graduating class - Published 1 international journal (SCOPUS indexed) and 9 IEEE/Springer conf papers on bio- inspired Machine Learning algorithms. - Summer internships: NTU Singapore & a highly ranked tech R&D firm based in India (got a PPO) - Got fully funded MS/PhD offers from Georgia Tech, Purdue, UPenn, Penn State, CMU .(rejected all). - Scored 99.87% in CAT & 99.97% in XAT =× Joined IIM A PGDM. Technical skills: C/C++, Java, MATLAB PG: GPA: 3.1/4 (top 30%) Focus - Finance, Data Science & Strategy Papers: - Reaction-Diffusion Equations with Applications to Economic Systems [book chapter] Econophysics and Sociophysics (Springer) - An Unbiased Critique of the Fluid Relationship between Happiness and Advertising. (IIM C research conf) - An eclectic demystification of Operation Barga (National Law Uni research conf) - Towards a model National IPR policy for India (independent SSRN submission), recommended for publication by Noam Chomski. Summer Internship: Quant Strategy at a US bulge bracket IB (final interview offer) Final placement: With a European bulge bracket IB. past 2 years: - Cleared both levels of the FRM exam - awaiting certification post completion of relevant work experience. - Quant Strategist/Analyst on the Synthetic Equity Trading desk of the bank (specifically, have a good understanding of how Prime Finance as a business works with a fair understanding of smart beta products & thematic/CROCI baskets). - Promoted to "Associate" in the first cycle. Skills picked up: Excel/VBA, postgreSQL, R, Bloomberg, Eikon Reuters and a whole list of trading risk management systems. GMAT: 750 (42 VA + 49 QA), 5/6 AWA & 8/8 IR. Could you please help me regarding how I can build my profile and the tracks/concentrations/areas I should apply to in order to get into the best schools? I intend to start in Fall 2019. Thanks, -
Hi guys, I usually get around 170Q and 165V on GRE practice tests. I took the test for the first time a few days ago, though, and got 170V and 166Q. Definitely a bit disappointed. While the 170V is nice, Q is a lot more important. I was interested in the London School of Economics - the MSc programs in EME and Economics. My background is highly quantitative with many courses in statistics and econometrics, so I don't know how important my Q score is. Should I rewrite to try to get 168+ in Q? Or will 166 be sufficient? Any thoughts?
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Hi all, I am a junior student and am thinking of applying for a finance phd program in the next couple of years, and here is my profile and concerns: Undergraduate: U.S. Ivy League, major in applied math with minor in econ. GPA 3.85 GRE: not taken yet Graduate: NA Math/Operations Research courses: stochastic process, simulation, financial engineering, optimization, dynamical systems, discrete time model etc. Econ courses: Intermediate macro/micro, econometrics, corporate finance, time series, behavioral finance, game theory, international monetary theory. Teaching experience: 2 years as TA in math department for courses in linear algebra, ODE, calculus etc. Research experience: 1. Working with a research scientist in data science with focus on using machine learning to forecast political risk and portfolio risk management. 2. Going to write a thesis in applied math, with focus on modeling economic activities using agent-based modeling. Work experience: Summer quantitative research at a top quant hedge fund. Recommendations: One from the research scientist I am working with, one from my potential thesis advisor (probably a professor in econ). Unsure about the third. Here are my concerns: 1. I am not sure if I am going to apply for phd right after I graduate, or should I work in quantitative investment (very likely to get an offer at the top hedge fund). How would doing research in a quant hedge fund perceived my the admission committee? 2. The researches I have done/will be doing are not too related to finance, but I am afraid I cannot really find a research opportunity in business school. How would if affect my profile? 3. What concentration/schools should I look for if I want to study quantitative finance or investment? And what school ranks should I apply to in general? Thanks.
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Should I retake GRE if got 164 from quantitative part and apply MSc Economics? -
I wanna ask does the dr raju quantitative database contain the real gre test questions ? and where can I find the database please help me my test is after 14 days and I didn't prepared yet. I need to get 155 in the quantitative section. Thanks,
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Test score: GMAT 750 Q50 V41 Undergrad GPA: 3.6 Economics (several rigorous courses with A and A-, but some with B and B+. I did lots of jobs and internship during my undergrad, which helped me build experience to select marketing but did affect my grades in courses) Graduate GPA: 3.5 (with A- in quant/strategy courses, but also some Bs and B+ in other courses) Research experience: some class research projects in college (not publishable but presented in school conference) and some research assistantship for a professor with research relevant not too complicated responsibilities. Teaching experience: none Work experience: 3-4 internships in marketing and marketing research, mainly marketing and research for managerial purposes Concentration applying to: Quant or Strategy Marketing (Digital Marketing, Customer Satisfaction, and E-commerce) Number of programs to apply: 15 (+/- 3) programs Interested in: Washington St Louis, Wisconsin-Madison, Houston, Pittsburgh, South Carolina, Penn State, Temple, UTDallas, UC Berkeley, Rice, Drexel and some other schools I am still reading about. Questions: Could you let me know if my profile is good for Top 20 and Top 50? Which range should I aim for? Which range can be considered safe for my profile? (as Quant candidates concentrated in top schools, I seriously not consider applying to any schools ranking below 90 in the UTD list) Should I add/reduce schools from the list above (as I am thinking that my schools are quite close to each other in terms of ranking - I just chose schools based on faculty research and haven't decided on Dream, Reach and Safe yet) I haven't contacted any professors at the schools above. Do you think that I should contact them now before submission? My weakness is in research experience. How should I improve it in my applications? Thank you so much!
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Hello, This is the first of the many posts to come. I am weaker especially when it comes to math. I got the questions from a friends study material; it comes with an answer explanation which I don't seems to grasp! Question>When a number is divided by 4 the remainder is 3. What will be the remainder when the square of the number is divided by 4. Answer> The number will be given by 4n-1. The square of this number is 16n^2-8n+1. The remainder when this number is divided by 4 is 1. What I have tried> Number = Quo*4 + 3......(eq1) Therefore, Number^2 = (Quo*4 + 3)^2 = 16*Quo^2+24*Quo+9...............(eq2) Divide this eq2 by 4 we get quotient = 4Quo^2+6*Quo+2 with a remainder of 1. I believe I have done this correctly but I still want to know whats with the author's explanation. Thank you. -
Hello guys, I'm shall be looking for computer science schools in US. Though I understand that gre score is not the only requirement for admission, but I do have a confusion anyway. 1. Say some school says that they want 75 percentile in quant, mine is only 71. Does that mean that my application would be rejected just for that basis? 2. If some school seeks 80 th percentile in quant, should I be applying to those too? Thanks in advance.
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question : Let S be the set of all positive integers n such that n^2 is a multiple of both 24 and 108 , wich of the following integers are divisors of every integers in S multi choice , select all answers that apply A : 12 B : 24 C : 36 D : 72 i know that answer is A,C --------------------- what i didnt understand is ? at the answer explaination part , we gives at the question that the set of integers will be in form n^2 okay then we can create our conclusion of the set of S on that way , so and said n^2 is multiple of 24 and 108 , i didnt understand what mean of multiple of this two numbers ? ok this is my first ask i really dont want bother you with answer explaination , i just need to know the most simple way to asnwer question like that and explain about multiple of etc ok thanks anyway something ealse confusing me in Data interpertations : if i have a figure show percents , total of female faculty = 200 total of male faculty = 250 the figure gives us as example percent for engineering males 2% and engineering females 12% then the questions as us this way , i need to understand what question - there are 275 students in field of engineering at university X approximately what is the ratio of number of students in engineering to the number of faculty in engineering i need to understand , what is different between faculty mentiones and student of engineering the questions said number of them is 275 thanks , i knew its long answers but hope someone help -
Hello, guys. I made a video for you that provides some good GRE quant practice. There problems should be solved in your head (without pencil or paper). Doing this will force you to learn to keep your ideas organized in your mind. Try to work through these problems quickly. This is a brain exercise for those wanting scores above the 80th percentile in quant. Good luck, Payman http://youtu.be/hZJINJUdnF8 -
I have been trying to get this information online and I do not want to get into the whole ordered ranking games. I know there are dozens of rankings out there for business schools in general, and the marketing specialization in particular. However, if you are applying for quant marketing, you would really only want to know schools with good quant marketing programs. That would amount to active, well revered, well published quant marketing faculty members who still guide doctoral students, and probably good econ and stat departments (where quant marketing students will end up taking several courses). Prestige probably matters too, especially when it is placement time. I have tried looking at some of the theses produced by, and initial placements of the recent marketing graduates, the recent papers published by the faculty members, and just the program website in general. I have also looked at the much talked about UTD rankings based on just the marketing journals. Now I want your opinion. Which quant marketing programs would you put at the top (need not number it, just the top 5 or 6 would do)?
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Hello everyone, Here is a link to 80 video explanations to the Quantitative/Math problems in the Official PowerPrep II software for the Revised GRE. GRE Quantum - grepowerprep In PowerPrep II, the first math section, which is Section#3, is identical for all the students. Depending on how you do on that section, the difficulty level of the second section(Section#5) will vary. The software has three options for Section#5, I have labeled them Easy, Medium, and Hard. To identify which of the three variations of Section#5 you were administered, look at you first question and use it to identify the appropriate set of video explanations. Feel free to send me feedback or questions. Cheers, Dabral
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hi there , you can say this is the hardest type of tricky questions of Revised GRE , easy but Tricky i think ;) all this question answered with explainations in ETS GRE Revised official book Q1 - a manager is forming a 6-person team to work on a certain project . from the 11 candidates available for the team , the manager has already chosen 3 to be on the team , in selecting the other 3 team members , how many different combinations of 3 of the remaining candidates does the manager have to choose from ? A- 6 B- 24 C- 56 D- 120 E- 462 , i'm just add red mark on combination to make it easy , we going to use combination formula of grouping ------------------------------------------------------------------------------------------------------------------------- Q2 - if 1+x+x2+x3 = 60 then the average (arithmetic mean) of x+x2 + x3+x4 is equal to wich of the following A- 12x B- 15x C- 20x D- 30x E- 60x
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Hey, guys ! This is my first post on this forum and I need your help and suggestions. I took the GRE last week and the results aren't that great: I got 430 for Verbal and 730 for Quantitative. I plan to apply for Strategy and Finance masters where the Verbal score does not count that much, but I believe that such an incredibly low score does not do any good for me. I already registered to sit the GRE again in 1 month, thus I desperately need to up both of my scores until then. Until now, the only preparation I've done is: Princeton Review, Barron's (just the practice questions, did not study the words), Kaplan and their afferent CD's. I just ordered online the Nova book for maths, do you think that is a good choice ? Also, what can I do to increase my scores for both sections? Do you think memorizing Barron's 3500 words list helps for the Verbal Section ? Thank you in advance for your ideas.
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My GPA: 3.04....... My GRE Q: 800......... My question: What schools are willing to allow a lower GPA for a perfect quantitative score? if any?
