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Program at a Glance

Program
Online Certificate
College(s)
College of Engineering and Computer Science
12
Credit Hours
US News World Report Most Innovative University

Advance Your Career in a Growing, Progressive Field with a Digital Twins Graduate Certificate

Digital twins are transforming industries by allowing organizations to test, predict and optimize systems before they’re built, or even while they operate. Through this certificate, you’ll gain the specialized knowledge to design and deploy digital twins using the latest in simulation modeling, data analytics, machine learning and IoT connectivity.

Built and taught by faculty in UCF’s nationally recognized School of Modeling, Simulation and Training, this fully online program provides the flexibility working professionals need while maintaining the rigor of a graduate-level experience. You’ll learn how digital twins drive smarter manufacturing, safer healthcare systems, stronger logistics networks and more sustainable operations.

Each course builds toward a capstone project that connects your studies to real-world application. Working alongside industry partners or UCF research labs, you’ll design a working digital-twin solution that demonstrates your ability to solve complex, data-driven challenges — giving you a competitive edge in today’s rapidly evolving marketplace

Person modelling a city.

Highlights

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Flexible learning: All courses are offered online and in person via live video, with one asynchronous option.
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Time commitment: Expect 8–10 hours of coursework per week; the capstone should be taken last.
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Professional engagement: Students can connect with industry groups such as ModSim for networking opportunities.

Application Deadlines

Fall
July 1
Spring
December 1

Ready to get started?

Course Overview

Required Courses

To earn an online digital twin graduate certificate, students must complete 12 total credits via the following courses:

Introduction to Digital Transformations and Digital Twins

Discover Digital Twins, trace their origins, define their essential characteristics, and identify the enabling technologies and trends propelling rapid adoption across industries.

Analyze the foundations of AI, machine learning, and digital twins from a modeling and simulation standpoint. Investigate emerging concepts, applications, and ethical concerns surrounding these advancing technologies.

Examine core concepts in real-time data processing, synchronization, and visualization, with a focus on their essential roles in creating dynamic and responsive Digital Twin models.

Gain an in-depth understanding of Digital Twins (DTs) as you integrate theoretical knowledge with practical, hands-on experience through a capstone project.

Digital Twins Skills You'll Learn

  • Designing and applying digital twin systems to solve real-world challenges.
  • Using simulation modeling, artificial intelligence, and data analytics to optimize performance.
  • Integrating data from sensors, IoT, and physical systems to create intelligent, connected operations.

Career Projections

108,072

Annual Job
Openings

13.6%

Job Growth
Between
2025 - 2035

$98K/Yr

U.S. Median Salary as of 2024

Source: Lightcast™ . 2025

Digital Twin Career Opportunities

  • Digital Twin Engineer
  • IoT Solutions Architect
  • Machine Learning Engineer
  • Simulation Modeler
  • Smart Manufacturing Engineer
  • data analyst
  • data scientist
  • operations research analyst
  • project manager
  • systems engineer