Learn data-driven admissions and analytics from J.C. Bonilla, faculty of business analytics, and creator of innovative enrollment analytics techniques. 8 Weeks | Online | $700 Spring '23 Cohort (TBD)

Damien Snook, University of Arizona, Fall '21 Cohort

"I can't imagine a professional development opportunity that is more relevant or instantly actionable."

Enrollment Analytics Certificate

Master analytics techniques that will allow you to recognize trends in student behavior, detect outliers and mine student data.

Master Business Analytics Techniques for Enrollment

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.

The content for this certificate course is based on leading-edge work in enrollment analytics with actual schools.

What You'll Learn

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. 


What is Business Enrollment Analytics and Why Should I Enroll in this Certificate Program?

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.

Build a Quantitative Student Persona Model

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.

Build an Executive Dashboard + Intelligent Admissions Reporting

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. 

The course is modeled on Dr. Bonilla's graduate-level course in Business Analytics at NYU.  

After an orientation, the course will meet every two weeks for 4 two-hour sessions. Office hours will be offered the weeks between courses.

During the course, you will work on an analytics challenge where you'll need to learn several computational tools for data mining, understand analytics theory, and more importantly generate insights. Dr. Bonilla will introduce the theory, review the tools, and present the projects for each project.

What is the format of the course and classes?

We expect the time commitment to be around 10 hours per week. 

How many hours a week should I plan to allocate to coursework?

We're keeping the course as accessible as possible. The datasets will be provided via GoogleSheets, visualizations via Google Data Studio and the ML platform will be BigML. Data sources include IPEDs/NCS.

Application requirements include: (1) employment at an educational institution, (2) resume, (3) LinkedIn profile, (4) and short personal statement answering how you plan to use enrollment analytics at your home institution (200 words max).

How much does the certificate program cost?

Who can I email if I have additional questions?

The techniques you'll learn include regression analysis, cohort analysis, cluster analysis, and time series analysis.

What data analysis techniques will I learn?

As recruiting goes digital, the volume of data that is collected on prospective and enrolled students is growing exponentially. A data analysis certificate for enrollment and admissions will help you use that data to make better decisions and recommendations. It will also help you translate data into insights that your stakeholders and team members can act on.

How can I use a data analysis certificate in admissions?

Answers to questions about the certificate program.

Kayla Burt, MIT Sloan School of Management, Fall '21 Cohort

“The course is a great introduction to tools that will positively impact the way that we make decisions in admissions.”

Ready to Join the Next Generation of Enrollment Analytics Professionals?

Enrollment Analytics Certificate Program

Learn data-driven admissions and analytics from J.C. Bonilla, faculty of business analytics, and creator of innovative enrollment analytics techniques.8 Weeks | Online | $700 Spring '23 Cohort (TBD)

Learn data-driven admissions and analytics from J.C. Bonilla, faculty of business analytics, and creator of innovative enrollment analytics techniques.

8 Weeks | Online | $700
Spring '23 Cohort (TBD)