George Mason University Online

MS in Applied Information Technology - Machine Learning Engineering Concentration

Delve into interpretable and applied machine learning concepts backed by courses in big data and natural learning processing. You can also select electives that instill relevant knowledge of deep learning.

Online Courses Designed with IT Employers in Mind

Mason developed the MS in Applied Information Technology with guidance from leading employers in our community. As a result, you’ll experience an online IT education that instills expertise sought by organizations across the public and private sectors. You’ll learn about emerging areas of information science and technology, gaining skills for deploying ethical, secure solutions to global IT challenges. And if you’re a Mason Engineering alumnus, you can select our Fast Track option to graduate faster.

The core and concentration courses include:

Fundamentals of Computing Platforms

Get an overview of the OS and networking elements of information systems, examining the issues relating to mobile devices, cloud networks, and other platforms.

Cloud Computing Security

Survey the security and privacy risks found in cloud computing while learning best practices for securing these systems.

Big Data Essentials

Explore emerging concepts and technologies used in big data analytics, along with methods for applying them in real-world environments.

Interpretable Machine Learning

Prepare to implement and evaluate the major machine learning models and learn how prediction models work.