MasterOnline, HybridFull-Time

Florida Atlantic University

Online Professional MS in Artificial Intelligence

Boca Raton, Florida1.5 $24K 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 $24K in total tuition, the Online Professional MS in Artificial Intelligence sits roughly 43% below the $42.4K average for AI master's programs in our database β€” placing it in the 34th 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 RoleMachine Learning Engineer
FormatOnline, Hybrid

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$24K total
Format
Online, Hybrid
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Deep Learning, AI Engineering / Applied AI

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in languages like Python and foundational knowledge in probability and statistics.

About This Program

Designed for working professionals, this accelerated degree provides a flexible online format to master current AI theories and technologies while advancing a career in the high-tech workforce. Coursework concentrates on Deep Learning and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

Estimated total tuition is $24K, below the $42.4K average for AI master's programs in our database and in the 34th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

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

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. AI Scientist
  • 3. Data Scientist
  • 4. Robotics Engineer

What You'll Learn

  • Develop and implement AI models using machine learning and deep learning techniques.
  • Apply computer vision and natural language processing to real-world problems.
  • Design AI systems for applications in robotics and healthcare.
  • Analyze data using advanced techniques like information retrieval and data mining.

Curriculum Highlights

The non-thesis curriculum features four-week courses covering computational foundations, data mining, and machine learning, alongside various electives in electrical engineering and computer science.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and companies in healthcare and robotics such as IBM and Boston Dynamics.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in languages like Python and foundational knowledge in probability 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+)

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