Prepare to lead multidisciplinary teams to successfully support IT strategic initiatives in Mason’s MS in Applied Information Technology (AIT) program.
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
- Data Analytics
- Intelligence Methods
- Natural Language Processing
- IT Management
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 Mason Engineering Alumni
This option is available for Mason Engineering alumni who graduated with a 3.0 or better overall GPA, or current 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. Phone: 703-348-5006 or Email: email@example.com.
The online MS in Applied Information Technology accepts applications on a rolling basis and is currently accepting applications. Applicants for the online program should apply here. Applicants for the on-campus program should click here for more information.Request Info