Capitol Technology University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics.

About This Program

This research-intensive program provides professionals with the skills to disseminate research and advance the frontiers of the artificial intelligence field.

Career Outcomes

Position as AI Research Scientist in Cross-Industry AI with artificial intelligence expertise

• 1. AI Research Scientist
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. AI Systems Architect

What You'll Learn

• Design and implement advanced machine learning models for real-world applications.
• Develop AI systems using deep learning techniques and neural architectures.
• Analyze and process unstructured data through computer vision and NLP.
• Evaluate ethical implications and biases in AI deployment.
• Conduct original research contributing to AI theory and applications.

Curriculum Highlights

The 30-credit degree includes coursework in graduate research fundamentals, ethics, and AI-specific research courses culminating in a thesis.

Top Employers

Top employers include Google, Microsoft, Amazon, and OpenAI.

Admissions

A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)