Enrollment Management

This repo contains the code to replicate the Scannel and Kurz Post on why huge swings in app growth might not always be good for Enrollment Managers. One important note. I have no affiliation with S&K.

TL:DR Below I use Prismatic’s API to tag the mission statements of approximately 500 colleges in the U.S. in order to evaluate the “focus” of each, which I define as the topics extracted from the API.

Intro The use of graphs to solve business problems is not new, as companies like Amazon, Netflix, and nearly all major social media sites have been doing this for some time.

TLDR; Enrollment Science is my attempt to relate the emerging role of Data Scientists to Enrollment Management Divisions within Higher Education. Let’s get real. Higher Ed is BIG business, and it’s about time that we start to embrace advanced techniques (i.

We were talking about admit rates at work, and as luck would have it, I saw the tweet below coming out of the Eduventures conference basically the same day. More than 70% of American colleges accept everyone who applies.

As of late, there has been a surge in conversation around the topic of the college-going population here in the United States. One one hand, we have long talked about the “The Perfect Storm” of demographics.

Reaction: Netflix-like Recommendations for College Earlier today I saw the following post: Could a Netflix-like algorithm be the key to matching students to the right college? http://t.co/6oPgM62zA9 #HigherEdData #collegeaccess — Chronicle Data (@chrondata) January 23, 2014