CertificateOnlineFlexible

Eastern Kentucky University

Graduate Certificate in AI in Data Science

Richmond, Kentucky1 years$7K 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 $6.9K in total tuition, the Graduate Certificate in AI in Data Science sits roughly 40% below the $11.4K average for AI certificate programs in our database β€” placing it in the 30th percentile on cost among the 236 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+36%
Top RoleData Scientist
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$7K total
Format
Online
Schedule
Flexible
GRE / GMAT
Not Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: A bachelor's degree in a related field such as computer science, data science, or engineering with a minimum GPA of 3.0 is required; relevant coursework or professional experience in programming and statistics is preferred.

About This Program

This 100% online graduate certificate provides students with the practical skills needed to turn big data into actionable industry insights. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $6.9K, below the $11.4K average for AI certificate programs in our database and in the 30th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Develop artificial intelligence skills to advance as Data Scientist in Cross-Industry AI Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

Develop artificial intelligence skills to advance as Data Scientist in Cross-Industry AI

  • 1. AI Data Analyst
  • 2. Machine Learning Engineer
  • 3. Data Science Consultant
  • 4. AI Applications Specialist

What You'll Learn

  • Apply machine learning algorithms to large-scale datasets for predictive modeling.
  • Develop and deploy AI models using frameworks like TensorFlow or PyTorch.
  • Analyze complex data with AI techniques including neural networks and NLP.
  • Integrate AI into data pipelines for real-world applications and decision-making.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and data-driven firms in finance, healthcare, and consulting.

Admissions

A bachelor's degree in a related field such as computer science, data science, or engineering with a minimum GPA of 3.0 is required; relevant coursework or professional experience in programming and statistics is preferred.

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: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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