Master Business Analytics Techniques for Enrollment
Master analytics techniques that will allow you to recognize trends in student behavior, detect outliers and mine student data.
Damien Snook, University of Arizona, Fall '21 Cohort
Master analytics techniques that will allow you to recognize trends in student behavior, detect outliers and mine student data.
Leverage 4 projects for the upcoming recruitment cycle, including:
- Persona Modeling
- Purchase Model
- Intelligent Admissions (AI) Dashboards
Add technical skills to your CV such as data wrangling and exploratory data analysis, dashboarding and distributing analytics, and building predictive models.
Enrollment analytics is a set of data analysis and modeling techniques for understanding student intent and improving recruitment outcomes. This course provides an introduction to analytics concepts, methods, and tools with concrete examples from student recruitment.
This certificate is available for enrollment management professionals who strive to leverage data for admissions and recruitment. In 8-weeks, you will learn analytics skills to generate insight that informs how a student should be recruited.
Start Date: March 18, 2022
Class sessions: April 1, April 15, April 29, May 13
Using a historic enrollment dataset, we will explore the basic logic elements of student intent and funnel analytics. Additionally, learn about summary statistics & central tendencies to frame persona modeling.
Learn how to predict student preferences. Explore the student historical data and understand the principles that can lead to greater recruitment operations. Additionally, learn how to use historical data and statics to estimate enrollment forecasts for the future.
Identify effective methods for collecting data on student behavior and use it to make better decisions for your school. Recognize trends, detect outliers, and summarize data sets concisely. Delve into how a school identifies patterns, segmentation, and aggressions for an incoming class.
Use analytics to derive insights into the key components of the enrollment cycle for your school — application generation & yield. Learn how to communicate analytics results and build an analytics narrative. But more importantly, build your upcoming recruitment dashboard.
For the past decade, Dr. J.C. Bonilla has been shaping the analytics discipline at NYU where he teaches graduate-level courses in Business Analytics & Data Analytics for Process Improvement. In addition, Dr. Bonilla is an adjunct faculty at RICE University MBA program where he leads a data analytics course.
Outside his academic experience, JC is the Global Chief Analytics Officer at VaynerX.
What is the format of the course and classes?
How many hours a week should I plan to allocate to coursework?
What software should I know and have?
What do I need to apply?
How much does the certificate program cost?
Who can I email if I have additional questions?
What data analysis techniques will I learn?
How can I use a data analysis certificate in admissions?
Kayla Burt, MIT Sloan School of Management, Fall '21 Cohort