Applied AI, MPS (Arlington)

Humankind is on the threshold of a new era—an age of artificial intelligence as revolutionary in its global impact as the Industrial Revolution. The Master of Professional Studies in Applied AI program offers working professionals operational immersion and firsthand experiences with an end-to-end AI education that aims to prepare students proactively and thoughtfully for the evolving technology landscape and its challenges. The curriculum focuses on building and implementing AI and machine learning technologies, specializing in conversational AI, machine learning for cybersecurity, 3D imaging, and various electives. This comprehensive approach ensures that students are equipped with the skills and knowledge needed to stay ahead in the rapidly changing field of AI.

Beginning with students admitted in the fall of 2026, all students pursuing on-ground master's degree programs must complete a university-level experiential learning requirement. This requirement may be fulfilled through the curriculum, co-op, or other work- or industry-integrated learning experiences.

Core Courses

Course List

Code	Title	Hours
Complete the following:
AAI 6600	Applied Artificial Intelligence	3
AAI 6610	Applied Machine Learning	3
AAI 6620	Applied Natural Language Processing	3
AAI 6630	Applied Computer Vision	3
Restricted Electives
Complete 6 semester hours from the following:		6
AAI 6640	Applied Deep Learning
AAI 6650	Recommender System
AAI 6655	Prompt Engineering
AAI 6665	Generative Artificial Intelligence
AAI 6740	Applied Reinforcement Learning
AAI 6790	Applied Quantum AI
AAI 6850	Applied Blockchain AI
AAI 6900	AI for Autonomous Systems
AAI 6983	Special Research Topics in AI
Capstone
AAI 6980	Integrated Experiential Capstone	4

Concentration or Electives Option 

A concentration is not required. Students may complete the electives option in lieu of a concentration.

• AI for 3D Imaging
• Conversational AI and Chatbots
• Machine Learning for Cybersecurity 
• Electives Option

Program Credit/GPA Requirements

34 total semester hours required
Minimum 3.000 GPA required

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AI for 3D Imaging Concentration 

Course List

Code	Title	Hours
Complete the following:
AAI 6710	Graph Signal Processing	3
AAI 6720	Graph Neural Networks	3
AAI 6730	Deep Learning for 3D Point Cloud Analysis	3
Complete one of the following:		3
AAI 6640	Applied Deep Learning
AAI 6650	Recommender System
AAI 6665	Generative Artificial Intelligence
AAI 6740	Applied Reinforcement Learning
AAI 6790	Applied Quantum AI
AAI 6850	Applied Blockchain AI
AAI 6900	AI for Autonomous Systems

Conversational AI and Chatbots Concentration 

Course List

Code	Title	Hours
Complete the following:
AAI 6660	Chatbot Architecture	3
AAI 6670	Chatbot Application	3
Complete two of the following		6
AAI 6640	Applied Deep Learning
AAI 6650	Recommender System
AAI 6655	Prompt Engineering
AAI 6665	Generative Artificial Intelligence
AAI 6740	Applied Reinforcement Learning
AAI 6790	Applied Quantum AI
AAI 6850	Applied Blockchain AI
AAI 6900	AI for Autonomous Systems

Machine Learning for Cybersecurity Concentration

Course List

Code	Title	Hours
Complete the following:
AAI 6680	AI for Cybersecurity	3
AAI 6690	Machine Learning for Cyberdetection	3
Complete two of the following:		6
AAI 6640	Applied Deep Learning
AAI 6650	Recommender System
AAI 6665	Generative Artificial Intelligence
AAI 6740	Applied Reinforcement Learning
AAI 6790	Applied Quantum AI
AAI 6850	Applied Blockchain AI
AAI 6900	AI for Autonomous Systems

Electives Option

Course List

Code	Title	Hours
Complete any College of Professional Studies graduate-level courses, unused courses in this program, or a combination of both in lieu of a concentration to meet total program required semester hours.