MS in Applied Information Technology - Machine Learning Engineering Concentration George Mason University Online
MS in Applied Information Technology
Prepare to lead multidisciplinary teams to successfully support IT strategic initiatives in Mason's MS in Applied Information Technology (AIT) program.
You'll learn to design, develop, manage, and sustain mega-systems as you gain extensive knowledge of the top IT fields including cyber security, data analytics, intelligence methods, natural language processing, machine learning, and more.
You'll gain the ability to analyze local and global impacts of computing and graduate ready to form solutions that are ethical and secure, and that address specific global challenges.
You'll learn from highly credentialed and experienced faculty who work to increase your experience as they show you how to deal with practical day-to-day IT challenges so you're ready to step into your new leadership role with confidence.
The MS in Applied Information Technology offers three tracks, including concentrations in Cyber Security, Data Analytics & Intelligence Methods, and Machine Learning Engineering. Each provides you with experience addressing the most complex security challenges facing our society right now using cutting-edge programs that you access remotely.
The Machine Learning Engineering concentration examines data science techniques to address real-world challenges. With this track, you'll learn how to select, adapt, optimize, and design machine learning algorithms for various applications.
The degree is ranked among the Top-25 online programs in the U.S. by U.S. News & World Report, 2018-2020.