University of Charleston
MS in Business Analytics & Applied AI
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 $19.2K in total tuition, the MS in Business Analytics & Applied AI sits roughly 55% below the $42.4K average for AI master's programs in our database β placing it in the 23rd percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in a related field such as business, computer science, or statistics with a minimum GPA of 3.0 is required; relevant work experience or quantitative background is often preferred.
About This Program
This program equips professionals with the analytical skills needed to navigate a data-driven future and lead business intelligence initiatives using artificial intelligence technologies. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 0.92 years.
Estimated total tuition is $19.2K, below the $42.4K average for AI master's programs in our database and in the 23rd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Position as Data Scientist in Business AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $110,000.
Career Outcomes
Position as Data Scientist in Business AI with machine learning expertise
- 1. Business Intelligence Analyst
- 2. Data Analytics Manager
- 3. AI Business Consultant
- 4. Predictive Analytics Specialist
What You'll Learn
- Apply analytics tools like Python, R, SQL, and Tableau to business datasets.
- Develop machine learning models for predictive business insights.
- Leverage AI techniques for data-driven decision making.
- Create visualizations and strategies from big data analysis.
Curriculum Highlights
The curriculum features courses in big data management, data visualization, and machine learning, with a heavy emphasis on real-world case studies and a capstone project.
Top Employers
Graduates work at companies like Google, Amazon, Deloitte, and IBM.
Admissions
A bachelor's degree in a related field such as business, computer science, or statistics with a minimum GPA of 3.0 is required; relevant work experience or quantitative background is often preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional or Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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