Deploying Data Science
Higher education professionals, data scientists, and econometricians help build the data-engine behind this platform using utility theory, behavioral economics, and some assumptions. The output metrics on each program are primarily, the MAC scores. Every program has an 'M Score' based on your preferences and factual university data. The higher the M score, the better the university is for you. Every program has an 'A Score' - your admission chance based on past data patterns. Every program has a 'C Score' - mentioning the net cost of attendance for Indian students.
Using Credible Data
We use university websites, government data sets, public research data and commercially purchased data from data companies to understand how a program performs in terms of research, placements, admissions, academic rigor, safety and more. In case of missing data, we contact universities directly or assume statistically sound alternatives.
Going Deeper than Usual
We consider the top 500 universities (based on popular general-ranking) for each of the courses we analyze. Further, we dig into 100+ parameters of data for each of the programs. Thanks to the in-house data team - the breadth and depth of information keep growing every day!
Keeping you at the heart of it
Our priority is to enable your best decisions. We are doing that by triggering a virtuous cycle of value - to deliver, to learn, to improve and to deliver better. We are always hungry to learn. Share whatever you have for us on firstname.lastname@example.org, on how we can be the best we can be.