The Catholic University of America

How this program compares

At an estimated $79.7K in total tuition, the MS in Artificial Intelligence sits about 88% above the $42.4K average for AI master's programs in our database — placing it in the 88th percentile on cost among the 531 we track at this level. It is one of the 57% 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.

Estimated total tuition is $79.7K, above the $42.4K average for AI master's programs in our database and in the 88th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $115,000.

Career Outcomes

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

• 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

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.

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

Academic Requirements

• Degree Required: Bachelor's degree in a technical field
• GRE/GMAT: Optional (not required)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)