The Catholic University of America

How this program compares

Budget-wise, $79.7K puts this master's program at the 88th percentile on cost — about 86% above the $42.9K average across 394 comparable listings. 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, mathematics, engineering, or a related technical field, with a minimum 3.0 GPA. Prior experience with programming, linear algebra, and calculus is typically required or strongly recommended.

About This Program

This graduate program provides advanced technical skills for designing and implementing intelligent agents and autonomous systems. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1.5 years.

Design and train machine learning models for classification, regression, and clustering tasks.

At roughly $79.7K total, The Catholic University of America's MS in Artificial Intelligence sits above the $42.9K average among AI master's programs we track — the 88th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 15 AI-related programs we track in District of Columbia, of which about 60% offer an online option. On price, it comes in higher than about 67% of the District of Columbia programs in our data, where typical tuition runs near $83.4K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $115,000.

Career Outcomes

The MS in Artificial Intelligence at The Catholic University of America (Washington, D.C., District of Columbia) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $115,000. Its focus on Natural Language Processing (NLP) and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. AI Solutions Architect
• 4. Data Scientist (AI/ML Specialization)

What You'll Learn

• Design and train machine learning models for classification, regression, and clustering tasks
• Develop deep learning architectures and optimize neural networks for real-world applications
• Implement ethical frameworks for responsible AI development and evaluate societal impacts of AI systems
• Apply AI techniques to specialized domains such as natural language processing, computer vision, and autonomous systems

Curriculum Highlights

The structure features advanced AI coursework, research-informed projects, and a capstone or internship option for professional preparation.

Top Employers

Top employers include Google, Microsoft, OpenAI, Amazon, Meta, IBM, and government agencies like DARPA and the National Institutes of Health.

Admissions

Admission to The Catholic University of America's MS in Artificial Intelligence generally expects a bachelor's degree in a technical field. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. 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 (preferably from academic or professional references in technical fields)
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions