Capitol Technology University

How this program compares

At an estimated $19.5K in total tuition, the Master of Research in Artificial Intelligence sits roughly 55% below the $42.9K average for AI master's programs in our database — placing it in the 24th percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a minimum GPA of 3.0. A strong background in linear algebra, statistics, and programming is expected; GMAT or GRE may be required depending on the institution.

About This Program

Designed for experienced professionals, this program emphasizes original research and publishing in areas like robotics, computer science, and machine learning. Coursework concentrates on Natural Language Processing (NLP) and Deep Learning. Most students complete it in about 1.5 years.

Design and implement machine learning models for real-world applications.

Budget planners should note $19.5K estimated total tuition (24th percentile among AI master's programs, below the $42.9K average). That makes it one of the more affordable options for students weighing return on investment.

It is one of 26 AI-related programs we track in Maryland, of which about 62% offer an online option. On price, it comes in cheaper than about 80% of the Maryland programs in our data, where typical tuition runs near $50.2K.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $128,000.

Career Outcomes

Graduates of Capitol Technology University's Master of Research in Artificial Intelligence most often target AI Research Scientist roles, where reported compensation runs around $128,000. Its focus on Natural Language Processing (NLP) and Deep Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Research Scientist
• 2. Machine Learning Engineer
• 3. Autonomous Systems Developer
• 4. AI Solutions Architect

What You'll Learn

• Design and implement machine learning models for real-world applications
• Conduct independent AI research and synthesize emerging developments in artificial intelligence
• Evaluate and address ethical considerations, bias, and limitations in AI systems
• Integrate AI technologies into autonomous and intelligent systems through applied problem-solving

Curriculum Highlights

The structure includes research design, data collection, and the production and defense of a master’s dissertation under a dedicated chair.

Top Employers

Top employers in AI research and development include Google, OpenAI, DeepMind, Microsoft Research, Meta AI, Tesla, Boston Dynamics, and government research laboratories such as NIST and DARPA.

Admissions

Admission to Capitol Technology University's Master of Research in Artificial Intelligence generally expects a master's degree. Plan for the GRE, which this program lists as required. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Portfolio or Research Sample: Recommended

Frequently Asked Questions