Program Description
Prepare to lead multidisciplinary teams and drive IT strategic initiatives with a Master of Science in Applied Information Technology (AIT) from George Mason University.
You’ll learn how to justify, design, develop, manage, and sustain mega-systems as you gain extensive knowledge of the top IT fields including:
- Cyber Security
- Machine Learning/AI Engineering
- Big Data Analytics
- Intelligence Methods
- Natural Language Processing
You’ll gain experience in practical, day-to-day IT challenges, learning from highly credentialed and experienced faculty.
The MS in Applied Information Technology offers three tracks, including concentrations in Cyber Security, Data Analytics & Intelligence Methods, and Machine Learning Engineering.
With the Cyber Security concentration, you’ll gain experience addressing the most complex security challenges facing society right now through a high-quality, 100% online curriculum that leverages scholarship, academic research, and industry best practices, processes, and methodologies in the field of cyber security.
The Data Analytics & Intelligence Methods concentration offers a wide variety of methods to convert data in decisions in various contexts; including scarce data to big data, from factual data to probabilistic data, from statistical methods to data mining and intelligence techniques.
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.
Click to learn more about the program from our award-winning faculty.
Fast Track Option Available for George Mason Engineering Alumni
This option is available for George Mason Engineering alumni who graduated with a 3.0 or better overall GPA, or current George Mason Engineering undergraduates within one semester of graduation with a 3.0 or better GPA (and a final 3.0 or better GPA in the BS must be confirmed prior to first course registration.) Click here for more information or contact your admissions representative.