Explore the MS in Applied Information Technology program at George Mason University. This program is offered in USA and provides an excellent learning opportunity in Masters studies.

The Online MS in Applied Information Technology at George Mason University prepares students to lead multidisciplinary IT teams and manage complex systems. The program covers essential areas such as Cyber Security, Machine Learning, Data Analytics, and IT Management. Students can choose from three concentrations: Cyber Security, Data Analytics & Intelligence Methods, and Machine Learning Engineering. The curriculum is designed to address real-world IT challenges and is delivered entirely online, allowing for flexibility in learning. With a total of 30 credits required, students can complete the program in as few as 18 months. The program is recognized for its quality and relevance, with strong ties to industry best practices and local employers. Graduates are well-prepared for high-demand roles in the tech industry, including positions such as Machine Learning Engineer and Information Security Analyst.

Required Courses

• AIT 512 Algorithms and Data Structures Essentials
• AIT 524 Database Management Systems
• AIT 542 Fundamentals of Computing Platforms
• AIT 664 Information: Representation, Processing, and Visualization
• AIT 660 Cyber Security Fundamentals
• AIT 670 Cloud Computing Security
• AIT 681 Secure Software Development
• AIT 682 Network and Systems Security
• AIT 580 Analytics: Big Data to Information
• AIT 614 Big Data Essentials
• AIT 677 Intelligence Analysis Methods
• AIT 624 Knowledge Mining from Big-Data
• AIT 526 Introduction to NLP
• AIT 636 Interpretable Machine Learning

Elective Courses

• AIT 502 Programming Essentials
• AIT 672 Identity and Access Management
• AIT 736 Applied Machine Learning
• AIT 726 NLP with Deep Learning
• AIT 746 Applied Deep Learning