KY

Master's in AI
Online

Eastern Kentucky University

M.S. in Computer Science – AI in Data Science

  • Richmond
About This Program

This master’s program offers advanced training in computer science and software engineering with a specialized focus on artificial intelligence.

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What You'll Learn

Graduates develop expertise in algorithms, software development, machine learning, and turning large datasets into useful industry information.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Typical Course Topics
1. Machine Learning and Deep Learning 2. Natural Language Processing (NLP) 3. Data Mining and Analytics 4. Neural Networks and Generative AI 5. AI Model Development and Evaluation 6. Applied Data Science and Big Data Systems
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related technical field, with a minimum GPA of 3.0. Prior coursework in programming, linear algebra, and calculus is generally required or strongly recommended.
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE/GMAT: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: 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.

Check Application Deadlines
Career Opportunities in AI

Excel as Data Scientist in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
AI/Machine Learning Engineer: $130,000 Data Scientist: $125,000 Machine Learning Operations (MLOps) Specialist: $120,000 AI Solutions Architect: $135,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Solutions Architect 4. MLOps Engineer
Top AI Employers (Industry-Wide):
Top employers in AI and data science include Microsoft, Google, Amazon, IBM, Meta, and major financial institutions like JPMorgan Chase and Goldman Sachs.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 18,210
Format
Online
Specializations
Official Resources
Program Website
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