• About
    • Our Team
    • Careers
    • Stories
  • Technology Transfer
    • Available Technologies
    • Innovators
      • Meet Our Innovators
      • Submit Disclosure
      • NAI Chapter
    • Startups
      • Meet Our Startups
    • Lab to Life
      • About Lab to Life
      • Lab to Life Process
      • Lab to Life Startups
      • Lab to Life Team
      • Lab to Life Contact
    • AI POC Grant Program
    • Workshops and Events
      • CSU Demo Day
    • FAQ
  • Real Estate Services
    • The Prospect
    • Maintenance Request Form
    • Commercial Leasing
  • Financing Program
  • Maxwell Ranch
  • Connect
  • Newsletter Signup
  • Submit Disclosure
  • About
    • Our Team
    • Careers
    • Stories
  • Technology Transfer
    • Available Technologies
    • Innovators
      • Meet Our Innovators
      • Submit Disclosure
      • NAI Chapter
    • Startups
      • Meet Our Startups
    • Lab to Life
      • About Lab to Life
      • Lab to Life Process
      • Lab to Life Startups
      • Lab to Life Team
      • Lab to Life Contact
    • AI POC Grant Program
    • Workshops and Events
      • CSU Demo Day
    • FAQ
  • Real Estate Services
    • The Prospect
    • Maintenance Request Form
    • Commercial Leasing
  • Financing Program
  • Maxwell Ranch
  • Connect
  • Newsletter Signup
  • Submit Disclosure

Outcome Intelligence: Prove the Value of Every Degree

A data-driven platform for tracking graduate success and financial ROI.

At a Glance

Researchers at Colorado State University have developed an easy-to-use application that combines college program data with powerful financial planning tools. Users can quickly see what graduates earn, how much debt they take on, and where they move for work after graduation. The app features interactive calculators that help users explore the long-term value of a degree. This technology makes it much easier for students to choose the right path and for schools to see how their programs are performing.

Background

Determining the true fiscal value of higher education is often difficult due to fragmented data and a lack of personalized modeling. While most platforms offer static median statistics, they fail to account for individual financial variability or the opportunity cost of time spent in school. This technology addresses the need for a unified framework that synthesizes longitudinal outcome data with predictive financial modeling. It provides a necessary bridge between academic interest and economic reality, allowing for data-driven decisions in a high-stakes investment environment.

Overview

The application serves as a comprehensive data synthesis platform that aggregates university program outcomes, specifically targeting employment and financial metrics. By selecting a specific program and credential level, users gain access to high-fidelity data including starting salary ranges, median debt, time-to-degree, and geographic industry trends. Unlike traditional tools that rely solely on median figures, this platform utilizes a range of salary outcomes to project “best and worst case” scenarios, offering a more nuanced risk assessment for the user.

The system features two core analytical modules: a customizable Debt Repayment Tool and a Return on Investment (ROI) engine. The ROI tool conducts a comparative analysis between total accumulated wealth—accounting for tuition, debt service, and time-to-degree—against a customizable baseline salary without the program. This allows for a precise evaluation of a program’s long-term financial impact. For institutional users, the platform provides a centralized dashboard to benchmark program efficacy against internal and external competitors, facilitating data-driven administrative decisions.

Dashboard showing program overview statistics for mathematics and statistics, including typical starting salaries ($31,079–$61,366), median debt ($21,020), median time to graduate (3 years 8 months), a U.S. employment heat map by region, and a bar chart of common industries.
Figure 1. Screenshot of the university program outcomes of CSU’s Mathematics and Statistics degree.
List of relevant occupations with salary ranges, median salaries, employment numbers, and projected growth rates for math-related careers including secondary school teachers, data scientists, natural sciences managers, and mathematical science occupations.
Figure 2. Screenshot of the relevant occupations and their salary information for graduates of CSU’s Mathematics and Statistics degree.
Line graph showing the projected cumulative earnings difference over 28 years for a specific percentile, based on data regarding starting salary and salary after 5 years.
Line graph showing the remaining debt over 8 years after graduation for the 75th percentile, with bullet points outlining payment assumptions.
Figure 3. Screenshots of examples of the salary and debt data displayed for graduates of CSU’s Mathematics and Statistics degree.

Benefits

  • Centralized Data Hub: Combines disparate datasets into a single, user-friendly interface for streamlined research.
  • Personalized Forecasting: Allows for custom inputs on debt, interest rates, and repayment timelines rather than relying on generic averages.
  • Risk Mitigation: Provides a range of salary outcomes to help users plan for various economic scenarios.
  • Comparative ROI Modeling: Directly compares the wealth accumulation of a specific degree against a non-degree career path.
  • Administrative Benchmarking: Enables universities to identify high-performing programs and areas requiring improvement.

Applications

  • University career counseling and recruitment offices.
  • High school guidance tools for college readiness and planning.
  • Institutional research for university administrators and deans.
  • Financial aid planning for prospective graduate and undergraduate students.
  • Government and educational policy analysis regarding workforce trends.
Last Updated: February 2026
Person viewing an analytics dashboard on a laptop that visualizes graduate outcomes and return on investment data in a modern office setting.
Opportunity

Available for Exclusive Licensing
TRL: 6

IP Status

Copyright/Software

Inventors

Colleen Webb
Brayden Look

Reference Number
2026-049
Licensing Manager

Jessy McGowan
Jessy.McGowan@colostate.edu
970-491-7100

Contact Us About this Technology
Download PDF
Download
Strata logo white
  • Technology Transfer
  • Real Estate Services
  • Financing Program
  • Maxwell Ranch
  • Connect
  • Equal Opportunity Employer
  • Tax Information
  • Technology Transfer
  • Real Estate Services
  • Financing Program
  • Maxwell Ranch
  • Connect
  • Equal Opportunity Employer
  • Tax Information
Serving the Colorado State University System with strategic real estate services, intellectual property protection and licensing, and financing activities.
Integrity
Reliability
Respect
Innovation
Excellence
Submit Disclosure

Newsletter Sign Up

Connect