Specialized AI Degrees for Military Members and Veterans
Artificial intelligence (AI) isn’t limited to computer science majors anymore. Universities are starting to develop comprehensive programs centered on AI, and a few have taken it a step further by integrating them directly with specific industries. They apply core AI skills, such as machine learning, data modeling, robotics, and natural language processing, in specific settings.What AI Degrees Mean for Active Duty Servicemembers and Veterans
For service members and vets, these degrees line up with skills you may already have. Healthcare programs make sense if you worked as a medic, corpsman, or in military healthcare and want to move into clinical data or medical imaging. And robotics and autonomous systems will feel familiar if you’ve been around drones, vehicles, or unmanned systems (think of it as the same tech, just on the civilian side).No matter what you choose, your military experience actually translates with these targeted degrees, and the GI Bill or Yellow Ribbon Program can cover the cost while you train for industries that are already hiring people with this exact background.
GI Bill and Yellow Ribbon Program Options
Our list of GI Bill and Yellow Ribbon participating schools is below. Don't forget to explore your other military financial aid and veteran student financial aid opportunities. There is also help for military spouses who need scholarships and other financial aid.Filters
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Niche AI Degree Programs: What They Are and Where to Find Them
The following programs are designed to prepare graduates for specific roles. Below are some niche programs, their differences, and the schools that offer them. Although there are only a few available in 2025, more are expected to be added in the coming months and years.AI in Medicine and Healthcare
Healthcare-focused AI degrees are aimed at people who want to take AI into medical settings, such as hospitals, labs, or biotech.The University of Alabama at Birmingham
The University of Alabama at Birmingham offers a Master of Science in Artificial Intelligence in Medicine that focuses on medical imaging, clinical data science, and disease modeling. For individuals seeking roles in clinical environments, research, or the biotech industry, this program is structured to facilitate a smoother transition.
University of Louisville
The University of Louisville’s MS in Artificial Intelligence in Medicine is entirely online and covers modeling and simulation, big data analytics, and clinical data management. It’s designed to be completed in about 20 months, making it appealing if you’re already working and need a program that fits around your schedule.
Because it’s open to students from science, engineering, and healthcare backgrounds, you don’t have to have a computer science background to be considered a strong candidate.
Johns Hopkins University
Not every school offers a stand-alone degree in this area, but some have carved out medical AI as a concentration inside larger programs. Johns Hopkins University, for example, has a biomedical engineering master’s program that lets you pick an AI in Medicine focus. Courses in clinical data analysis, medical imaging, deep learning for public health, and AI in medical devices are included.
Georgetown University
Georgetown University offers a similar model through its MS in Systems Medicine. Students can choose a concentration in Applied AI, which combines machine learning and natural language processing, but keeps the applications grounded in biomedical and clinical datasets.
UT Health San Antonio
At UT Health San Antonio, medical students can take on a dual degree. In partnership with the University of Texas at San Antonio, they can finish their MD while also earning a Master of Science in Artificial Intelligence. It’s built to train physicians who practice medicine to understand how AI fits into diagnostics, clinical workflows, and patient care.
Robotics and Autonomous Systems
A handful of schools now offer graduate programs that cover both hardware and software, with a focus on machines that can make decisions and operate autonomously without constant human input.Arizona State University
At Arizona State University, the Ira A. Fulton Schools of Engineering has a Master of Science in Robotics and Autonomous Systems with an AI focus. The coursework covers the machines themselves, alongside algorithms that handle perception and decision-making. Projects are built into the program so students spend their time connecting hardware with software instead of keeping the two separate.
Johns Hopkins University
Johns Hopkins University also offers a Master of Science in Robotics and Autonomous Systems through its Engineering for Professionals division. It’s built for people already working in technical roles who want to incorporate robotics and AI into their work.
The coursework focuses on perception, navigation, and human-robot interaction, which are skills that enable machines to operate independently in complex environments. It’s designed to teach engineers to apply AI directly to systems they may already be working on.
University of Cincinnati
The University of Cincinnati also has a robotics option, but it’s structured differently. Its Master of Engineering in Robotics and Intelligent Autonomous Systems is fully online, which makes it more accessible if you can’t relocate. The focus here is on industrial robotics, automation, and cyber-physical systems. It’s less about academic research and more about skills that slot directly into industrial and engineering jobs.
Hybrid and Cross-Disciplinary AI Programs
Universities are also beginning to design hybrid programs that allow students to apply AI across a range of fields.Northeastern University
Northeastern University’s Khoury College of Computer Sciences runs a Master of Science in Artificial Intelligence with multiple concentration options. Students can specialize in machine learning, robotics and agent-based systems, computer vision, or energy systems, among other areas. The program also incorporates opportunities for industry co-op placements, allowing students to apply AI directly in their chosen field.