Eastern Kentucky University

How this program compares

At an estimated $19.5K in total tuition, the MS in Computer Science - AI in Data Science Concentration sits roughly 54% below the $42.4K average for AI master's programs in our database — placing it in the 24th 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.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, related field, or equivalent with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and calculus. GRE scores are often optional, with prerequisites in statistics or linear algebra recommended.

About This Program

This graduate program emphasizes advanced software engineering concepts and the practical application of artificial intelligence in data science. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1.25 years.

Estimated total tuition is $19.5K, below the $42.4K average for AI master's programs in our database and in the 24th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Excel as AI Research Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $120,000.

Career Outcomes

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

• 1. AI Data Scientist
• 2. Machine Learning Engineer
• 3. Data Science Analyst
• 4. AI Research Engineer

What You'll Learn

• Develop and deploy machine learning models for predictive analytics.
• Apply deep learning techniques to process and analyze large datasets.
• Design AI systems for data-driven decision making.
• Implement natural language processing for data insights.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and data-focused firms such as IBM and SAS.

Admissions

A bachelor's degree in computer science, related field, or equivalent with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and calculus. GRE scores are often optional, with prerequisites in statistics or linear algebra recommended.

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+)