Program Evaluation Master Class
Learn How to Make Better Informed Academic Program Decisions
Capture enrollment and win the competitor landscape with Gray Decision Intelligence Master Class in Data-Informed Program Decisions.
Included in this series- Master Class 1: Market Demand for Academic Program Growth
- Master Class 2: Program Economics and Curricular Efficiency: How to Avoid Dumb Cuts
- Master Class 3: Program Management: Data, Process, and Key Decisions
- Master Class 4: Advanced Analytics and AI
Master Class 1: Market Demand for Academic Program Growth
Featuring Bob Atkins and Zach Paz
What academic program should I start or grow? How can I tell if a program will drive enrollment? Will it prepare students for the job market? Are there already too many institutions offering this program? This session will teach you what market data you need to ensure you invest in the best programs to align with your mission, fill seats, and teach the right skills for student success after graduation.
Download the presentation slidesMaster Class 2: Program Economics and Curricular Efficiency: How to Avoid Dumb Cuts
Featuring Pete Starrett and Steve Probst
March 12, 2024, 2 pm ET
In this session, you will discover the importance of strong program margins and efficient instruction, which enable healthy student outcomes and faculty research activities. You will learn how to calculate the direct instructional economics of your programs on a per-student credit hour basis with instructional costs, enrollment revenue, and contribution margin. Additionally, we will analyze the revenue and direct costs associated with each course section your institution delivers. You will benchmark costs across your programs and compare them to other institutions.
Download the presentation slidesMaster Class 3: Program Management: Data, Process, and Key Decisions
Featuring Bob Atkins and Mary Pahissa Upchurch
March 19, 2024, 2 pm ET
As a decision-maker, how do you implement, manage, and sustain a program evaluation and management process at your institution? This interactive session addresses the key decisions academic leaders make regularly, including which programs to start, stop, or grow, hiring, and resource allocation. We will walk you through a data-informed evaluation process that is fast, transparent, and inclusive – a process that brings together key stakeholders and builds consensus and support for these critical decisions. You will work with your peers in breakout teams to decide on programs to grow and sustain based on mission, academics, markets, and economics.
Download the presentation slidesMaster Class 4: Advanced Analytics and AI
Featuring Zach Paz and Youssef Aljabi
March 26, 2024, 2 pm ET
Join us as we present how artificial intelligence, machine learning, and other new tools can model the impact of program decisions on your institution’s future. Using demographic data and market trends, we will demonstrate how to project the size and growth of programs in a proposed portfolio. Using predictive scenarios, we will show how to evaluate the effects of program decisions on your institution’s bottom line. We will show a prototype of a tool that evaluates the academic content of the courses in an academic program and identifies the skills taught. It compares those skills to Gray DI’s data on skills employers seek.
Download the presentation slides
