MasterOnlineFlexible

Eastern Kentucky University

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

Richmond, Kentucky1.5 $18K 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 — see our methodology.

How this program compares

At an estimated $18.2K in total tuition, the M.S. in Computer Science - AI in Data Science sits roughly 57% below the $42.4K average for AI master's programs in our database — placing it in the 18th 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$130,000 Data Scientist
Job Growth+36%
Top RoleData Scientist
FormatOnline

Admission Snapshot

Degree Required
Master of Science (MS)
Duration
1.5 years
Est. Tuition
$18K total
Format
Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Data Science & Intelligent Systems, AI Engineering / Applied AI

Typical admitted student: 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.

About This Program

This master’s program offers advanced training in computer science and software engineering with a specialized focus on artificial intelligence. Coursework concentrates on Data Science & Intelligent Systems and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

Estimated total tuition is $18.2K, below the $42.4K average for AI master's programs in our database and in the 18th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Excel as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $135,000.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. Data Scientist
  • 3. AI Solutions Architect
  • 4. MLOps Engineer

What You'll Learn

  • Design, train, and evaluate machine learning models for classification, regression, and clustering tasks
  • Develop and deploy deep learning systems including neural networks, computer vision, and generative AI applications
  • Apply advanced data analytics techniques to extract insights from large, complex datasets
  • Lead AI projects from conception through production deployment, including ethical considerations and model governance

Top Employers

Top employers in AI and data science include Microsoft, Google, Amazon, IBM, Meta, and major financial institutions like JPMorgan Chase and Goldman Sachs.

Admissions

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.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

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

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