GA

Master's in AI
On-Campus, Online

Kennesaw State University

MS in Artificial Intelligence

  • Kennesaw
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.

Student Reviews
What You'll Learn

Students gain in-depth knowledge of neural networks, deep learning, and cognitive computing. They learn to design and execute AI-driven projects to address real-world industrial and societal challenges.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
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.
Typical Course Topics
1. Neural Networks and Deep Learning 2. Machine Learning Algorithms and Applications 3. Natural Language Processing 4. Computer Vision and Image Processing 5. Ethics in Artificial Intelligence 6. AI Capstone Project
Program Specializations:
Natural Language Processing (NLP)
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ Official Transcripts: Required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Career Opportunities in AI

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

Estimated Industry Salary
AI/Machine Learning Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
35.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist specializing in AI 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
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
Program Details
Duration
  • 1.5 Year
Tuition
  • 9,090
Format
On-Campus, Online
Specializations
Natural Language Processing (NLP)
Computer Vision