Instructional Design and Technology MicroMasters Program

Overview

Engage and inspire students through technology.

Learn how to create enhanced learning opportunities using the latest tools and techniques to connect with today’s digital-first students.

Our unique approach to instructional design focuses on understanding learning theory, blending traditional instructional design models with rapid prototyping and data analytics to create online courses. You will gain hands-on experience developing and publishing online courses using the edX platform.

This Instructional Design and Technology MicroMasters Program from EdX in partnership with University System of Maryland - USMx and UMUC will provide the knowledge and skills needed to capitalize on one of the fastest growing areas of education – online teaching and learning. This program will prepare you to create engaging and active learning, using digital pedagogy, emerging technologies and data analytics.

Through this program you will learn how to design captivating learning experiences for students who want mobile learning opportunities that are collaborative and accessible, while advancing your knowledge of educational theory.

Job Outlook

• "90 percent of academic leaders believe that it is ‘Likely’ or ‘Very Likely’ that a majority of all higher education students will be taking at least one online course in 5 years’ time” 

• Career prospects for people with similar training include instructional software designer, instructional technologist, learning systems designer, educational technologist

• Instructional design and technology jobs are projected to grow.

What You'll Learn:

• Understand contemporary learning theories to develop online learning experiences

• Apply instructional design models to the development of online learning experiences

• Select, evaluate or design digital media to support learning

• Identify, evaluate, and integrate emerging technologies to support online learning

• Design an implementation process for online learning experiences

• Apply data mining techniques to the design and evaluation of learning experiences