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 $42.9K average for AI master's programs in our database — placing it in the 1st percentile on cost among the 394 we track at this level. 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 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.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Design and implement neural networks and deep learning models for complex problem-solving.

At roughly $9.1K total, Kennesaw State University's MS in Artificial Intelligence sits below the $42.9K average among AI master's programs we track — the 1st percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 26 AI-related programs we track in Georgia, of which about 69% offer an online option. On price, it comes in cheaper than about 69% of the Georgia programs in our data, where typical tuition runs near $36.8K.

Career Outcomes

The MS in Artificial Intelligence at Kennesaw State University (Kennesaw, Georgia) is oriented toward AI Engineer hiring, with alumni reporting pay near $120,000. Its focus on Natural Language Processing (NLP) and Computer Vision maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 35% 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. 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

Admission to Kennesaw State University's MS in Artificial Intelligence generally expects a bachelor's degree in computer science, mathematics, engineering, or related field. Plan for the GRE, which this program lists as required. 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: 2–3
• Resume: Required
• Official Transcripts: Required

Frequently Asked Questions