Kennesaw State University

How this program compares

At an estimated $9.1K in total tuition, the MS in Artificial Intelligence sits roughly 79% below the $42.4K average for AI master's programs in our database — placing it in the 2nd 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 with a strong foundation in computer science, mathematics, or related fields. A minimum GPA of 3.0 and relevant coursework in programming and algorithms are typically required; work experience in computing or AI is preferred but not mandatory.

About This Program

This interdisciplinary master's program provides advanced knowledge in AI principles, emphasizing experiential learning and problem solving for various application domains like defense and healthcare. Coursework concentrates on Natural Language Processing (NLP) and Computer Vision. Most students complete it in about 1.5 years.

Estimated total tuition is $9.1K, below the $42.4K average for AI master's programs in our database and in the 2nd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Position as AI Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist specializing in AI
• 4. AI Solutions Architect

What You'll Learn

• Design and implement neural networks and deep learning models for complex problem-solving
• Develop machine learning algorithms for data analysis, prediction, and pattern recognition
• Evaluate ethical implications of AI systems and implement fairness and transparency principles
• Apply AI techniques to real-world applications in business, healthcare, robotics, and autonomous systems

Curriculum Highlights

The 30-credit curriculum includes core courses in machine learning and AI ethics, with elective options in natural language processing, machine vision, and robotics integration.

Top Employers

Top employers for AI specialists include Google, Microsoft, Amazon, IBM, Meta, OpenAI, and major financial institutions, along with government research agencies and defense contractors.[5

Admissions

Applicants must hold a bachelor's degree with a strong foundation in computer science, mathematics, or related fields. A minimum GPA of 3.0 and relevant coursework in programming and algorithms are typically required; work experience in computing or AI is preferred but not mandatory.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree in Computer Science, Mathematics, Engineering, or related field
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)