MasterOnlineFlexible

Kennesaw State University

Online MS in Artificial Intelligence

Kennesaw, Georgia1.5 $28K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $27.8K in total tuition, the Online MS in Artificial Intelligence sits roughly 34% below the $42.4K average for AI master's programs in our database β€” placing it in the 39th 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.

Est. Salary$120,000
Job Growth+23%
Top RoleAI Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$28K total
Format
Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Deep Learning, Machine Learning

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

About This Program

This flexible online version of the MS in Artificial Intelligence provides advanced, interdisciplinary knowledge tailored for professionals seeking to lead in the rapidly evolving AI domain. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 1.5 years.

Estimated total tuition is $27.8K, below the $42.4K average for AI master's programs in our database and in the 39th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Thrive 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

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

  • 1. AI/ML Engineer
  • 2. Data Scientist
  • 3. Machine Learning Researcher
  • 4. AI Systems Architect

What You'll Learn

  • Design and implement advanced machine learning models for real-world applications
  • Apply deep learning techniques including neural networks and convolutional networks
  • Develop AI systems for natural language processing and computer vision tasks
  • Evaluate ethical implications and biases in AI technologies

Curriculum Highlights

The 30-credit curriculum includes core requirements in AI ethics and machine learning, with elective paths in natural language processing, computer vision, and big data analytics.

Top Employers

Top employers include Google, Microsoft, Amazon, IBM, and tech firms specializing in AI solutions.

Admissions

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

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+)

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