Eastern Kentucky University
MBA - Computer Science AI in Data Science Concentration
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 $20.3K in total tuition, the MBA - Computer Science AI in Data Science Concentration sits roughly 52% below the $42.4K average for AI master's programs in our database β placing it in the 27th 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: Applicants must hold a bachelor's degree from an accredited institution with a minimum GPA of 3.0. Work experience (2+ years preferred) and a strong foundation in quantitative coursework are typically required or recommended.
About This Program
This MBA concentration integrates computer science and artificial intelligence topics into a traditional business management framework for tech leaders. Coursework concentrates on Machine Learning and Computer Vision. Most students complete it in about 1 year.
Estimated total tuition is $20.3K, below the $42.4K average for AI master's programs in our database and in the 27th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Lead as AI Engineer in Business AI with artificial intelligence expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $125,000.
Career Outcomes
Lead as AI Engineer in Business AI with artificial intelligence expertise
- 1. AI/Machine Learning Engineer
- 2. Data Scientist
- 3. Business Intelligence Manager
- 4. AI Strategy Consultant
What You'll Learn
- Design, implement, and evaluate AI and machine learning solutions aligned with business objectives
- Develop data-driven strategies to optimize organizational processes and decision-making
- Apply ethical frameworks and governance principles to responsible AI deployment
- Master technical and statistical methods for analyzing large datasets and extracting actionable insights
Top Employers
Top employers in this field include Google, Microsoft, Amazon, IBM, Meta, McKinsey, and major financial institutions like Goldman Sachs and JPMorgan Chase.
Admissions
Applicants must hold a bachelor's degree from an accredited institution with a minimum GPA of 3.0. Work experience (2+ years preferred) and a strong foundation in quantitative coursework are typically required or recommended.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GMAT/GRE: GMAT typically required (minimum 500β550); GRE accepted at some institutions
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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