Capitol Technology University

How this program compares

At an estimated $19.5K in total tuition, the Master of Research in Artificial Intelligence sits roughly 54% below the $42.4K average for AI master's programs in our database — placing it in the 24th 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, 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.

Estimated total tuition is $19.5K, below the $42.4K average for AI master's programs in our database and in the 24th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Excel as AI Research Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $128,000.

Career Outcomes

Excel as AI Research Scientist in Cross-Industry AI with machine learning expertise

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Master's Degree
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)