Eastern Kentucky University

How this program compares

Eastern Kentucky University's M.S. in Computer Science - AI in Data Science lists about $18.2K total tuition — roughly 58% below the $42.9K AI master's average (20th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

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.

Design, train, and evaluate machine learning models for classification, regression, and clustering tasks.

Budget planners should note $18.2K estimated total tuition (20th percentile among AI master's programs, below the $42.9K average). That makes it one of the more affordable options for students weighing return on investment.

It is one of 13 AI-related programs we track in Kentucky, of which about 69% offer an online option. On price, it comes in cheaper than about 62% of the Kentucky programs in our data, where typical tuition runs near $25.3K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $135,000.

Career Outcomes

Eastern Kentucky University positions this master track for Data Scientist careers — typical offers cluster around $135,000. Its focus on Data Science & Intelligent Systems and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Eastern Kentucky University's M.S. in Computer Science - AI in Data Science generally expects a master of science (ms). Plan for the GRE, which this program lists as required. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions