Around 35% of universities in the USA have given waivers for GRE
The GRE score is still one of the most important selection criteria considered by graduate admissions committees.
Why should I take the GRE test?
Colleges typically use the GRE (for STEM fields) to assess your quantitative ability.
Every applicant is evaluated holistically; your GRE scores, academic scores, internships, research papers, and projects are considered. But those who give GRE will have a clear advantage over those who don’t.
If your undergraduate GPA is lower than expected, your GRE test score is your chance to demonstrate quantitative skills beyond your transcript.
GRE is recommended as it is required for scholarships.
Though scholarships based on GRE, TOEFL, and IELTS exam scores are limited, you must score at least
165 in both the quantitative and verbal sections of the GRE,
4.5 in the writing skills section of the GRE, and
above 100 in the TOEFL and 7.5 in the IELTS to be eligible for one.
A good GRE score demonstrates your potential in analytical and critical thinking skills.
How do I decide whether to take the GRE?
If the website explicitly states that GRE scores are required, you must take the GRE.
If the university website mentions that it is recommended, it is advisable to take the GRE.
If the university you are applying to has stated on their websites that they have waived the GRE, you are not required to send your GRE score reports in your admissions packet. However, if your GRE score is more than 300, we still recommend that you send the GRE scores.
Are you planning to pursue a Master’s Degree in the USA? Are you confused between the many specializations available? Do you need guidance on which specialization would best suit your interest and align with the most flourishing fields in the USA?
Then this blog is for you. Read on to get a quick insight into the top 10 trending specializations across the most popular fields in the USA and improve your chances of landing the best job upon completing your Masters.
Top Ten Trending MS Specialisations in the USA
1) Artificial Intelligence
2) Machine Learning
6) Artificial Intelligence
7) Embedded Systems
8) Machine Learning
For detailed guidance on choosing the right major and the right university, enroll for our Admission Counselling services today! We provide thorough guidance on drafting of SOPs, selection of universities, application essays, and visa counselling.
Generally, in order to complete an MS or an MBA course you have to complete 33 credits, usually in a 2 year-period. The total number of credits is broken up in different ways. For example, if you opt to do a thesis, then the break up is:
Thesis – 6 credits
Course – 27 credits
If the course does not have the thesis option then you will have to do a project and the break up will be:
Project – 3 credits
Course – 30 credits
The credit system will differ from university to university, but by and large this is the system that is followed.
Students are awarded 3 credits per theory course (or subject) that they study in a semester. But in order to earn the credits for the course they have to undergo actual classroom instruction for 3 hours a week for the whole semester. You will be expected to take a minimum of 3 such theory courses per semester and thus will be awarded a total of 9 credits, 3 for each of the subjects.
Thus, given that there are 2 semesters per year, in the normal course, students take 18 credits per year. However, many Indian students take extra credits (e.g. 12 per semester instead of 9) and thus are able to complete their Master’s degrees 16 months time.
My opening GMAT blog post will focus on Data Sufficiency, an important and unique Quantitative Reasoning question type in GMAT. Later on we’ll take up some sample questions to illustrate how to tackle this strange and interesting question type but first we will look at a fundamental point: why is DS important? Well, look at Figure 1 below
What this pie chart tells us is that, out of 37 questions in the GMAT Quantitative Reasoning section, you can expect around 22 to 23 will be of the Problem Solving (PS) type and 14 to 15 of the Data Sufficiency (DS) type.
Now, maybe you’re thinking that what this highlights is the importance of Problem Solving questions. But that is only the most obvious thing that the data says. The other important thing that it tells you is that if you want a good score in GMAT, you cannot afford to neglect Data Sufficiency. On the contrary, DS questions play a crucial role in converting mediocre GMAT scores into first-rate ones, so, if you ignore DS questions, that great GMAT score you are looking for may never be yours. Here’s why.
When you are through with your initial preparation and have given 3-4 mock GMAT tests, like most other students, you will probably find your scores stagnating. There are various reasons for this, but, in Quant, if you find that your raw score is fluctuating between 43 and 46 out of 60, the reason will usually be low accuracy in DS.
The most important reason why many students don’t achieve high accuracy in DS is that they don’t think the way that DS demands. We never solve such questions either in school or in college so, we don’t really understand them and so, we end up ignoring or trying to avoid DS questions. But that, is a big mistake! Remember the stats: you can’t think of getting a good score in GMAT without mastering DS questions. So, how do you deal with the difficulties that this question type throws up? Watch for our next post and find out.