Math has historically been a very difficult subject for students to master. A minority of students can excel in the subject but most students struggle. It is possible to help students who have poor Math skills to attain a good level of proficiency with some special attention.
First of all, this must be recognized that Math proficiency has to deal with the use of certain areas of the human brain. Those who are proficient in the subject are able to use certain areas of their brain in an effective manner while those who are poor in the subject might not be able to utilize their full mental abilities.
Secondly, educationists should design their courseware by factoring in this aspect. Class exercises should enable students with poor math skills to use all their mental abilities. Intensive prep work should be followed by introducing the students to actual math problems and sums in calculus.
Immense care and diligence should be shown to Math deficit students by introducing them to graded levels of Math difficulty while those who are naturally endowed with math skills can be introduced to fast track courses that further enhances their skills.
Math skills are very vital for schools to develop in their students because it is these skills that contribute most to the national economy. A nation with poor math skills might not be able to sustain the level of growth required for prosperity and may have to import its industrial management requirements.
MEng in Computer Engineering
Cornell University
Acads: 70%; GRE: 1320
MS in Masters in Information Systems
TAMU (80% Scholarship)
Acads: 71%; GRE: 1430
Masters in Business Administration
Columbia Business School
Acads: 7/10; GMAT: 710; 3 years exp.
Masters in Transportation Engineering
University of Illinois Urbana Champaign
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Masters in Information Systems Management
Carnegie Mellon University
Acads: 70%; GRE: 1300
Insead (France)
Acads: 67%; GMAT: 710; 3 years exp.
MS in Financial Engineering
Stanford University
Acads: 75%; GRE: 1450
Masters in Information Systems
University of California Berkeley
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MS in Electrical and Computer Engineering
Acads: 68%; GRE: 1290
INI Program
Acads: 71%; GRE: 1400+
Masters in Engineering (CS specilization)
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Acads: 76%; GRE: 1400
Masters in Financial Engineering
Columbia University
Acads: 69%; GRE: 1520
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University of Pennsylvania
Acads: 59%; GRE: 1220
MS in Human Resource Development
Acads: 65%; GRE: 1390
University of Michigan Ann Arbor
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Darthmouth College (with Scholarship)
Acads: 70%; GRE: 1350
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Stony Brook
Masters in Human Resource Development
Michigan State University
Acads: 65%; GRE 1390
University of Chicago
Acads: 66%; GRE: 1420
MS in Information Systems
Acads: 61.8%; GMAT: 650
MS in Biomedical Sciences
Worcester Polytechnic Institute
Acads: 65%; GRE: 1360
MS in Information Security
John Hopkins University
Acads: 62%; GRE: 1280
Acads: 55%; GMAT: 650
MS in Engineering Management
Duke University
Acads: 66%; GRE: 1350
Acads: 67.5%; GRE: 1350
U. of Texas Austin
Acads: 75.37%; GRE: 1500
MS in Management Information Systems
U. of California Berkeley
Acads: 61%; GRE: 1440
MS in Computer/Electrical Engineering
UCLA
Acads: 71%; GRE: 1550
Acads: 73%; GRE: 1440
MS in Applied Mathematics (Financial Engineering)
New York University
Acads: 65.66%; GRE: 1480
Acads: 71%; GRE: 1410
Acads: 56; GRE: 1350
Acads: 68; GRE: 1290
Acads: 54; GRE: 1310
MS in Information Networking (INI)
Acads: 63%; GRE: 1410
Acads: 71%; GRE: 1370
Acads: 69.4; GRE: 1400
Acads: 72%; GRE: 1500
Acads: 67%; GRE: 1470
Acads: 75%; GRE: 1480
Georgia Tech
Acads: 63%; GRE: 1280
MS in Operations Research
Acads: 65.4%; GRE: 1330
Acads: 69.5%; GRE: 1290
Acads: 64.5%; GRE: 1360
Acads: 71%; GRE: 1330
University of Minnesota Twin Cities
Acads: 76%; GRE: 1440
Virginia Tech
Acads: 54%; GRE: 1230
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Acads: 66%; GRE: 1490
U. of Pennsylvania
Acads: 68%; GRE: 1360
Acads: 72%; GRE: 1400
MS in Biotechnology
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Acads: 64%; GRE: 1440
Acads: 62%; GRE: 1490
Acads: 63%; GRE: 1550
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Purdue University
U. of Utah
Acads: 69%; GRE: 1380
U. of Michigan Ann Arbor
Acads: 64%; GRE: 1280