Johns Hopkins University
MS in Business Analytics & 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 $91.5K in total tuition, the MS in Business Analytics & AI sits about 116% above the $42.4K average for AI master's programs in our database β placing it in the 94th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: Requires a bachelor's degree from an accredited institution, minimum GPA of 3.0, and relevant quantitative background; GRE is required, with work experience averaging 8 years preferred but not mandatory.
About This Program
This STEM-designated program prepares leaders to navigate modern market uncertainties by combining advanced business analytics with artificial intelligence to convert raw data into actionable strategic insights. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $91.5K, above the $42.4K average for AI master's programs in our database and in the 94th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Advance as Data Analyst in Business AI with machine learning expertise Graduates frequently move into roles such as Data Analyst, with reported salaries around $115,000.
Career Outcomes
Advance as Data Analyst in Business AI with machine learning expertise
- 1. Business Intelligence Analyst
- 2. AI Strategy Consultant
- 3. Data Analytics Manager
- 4. Predictive Analytics Specialist
What You'll Learn
- Apply machine learning and AI models to solve business problems
- Analyze big data for strategic decision-making
- Develop data visualization and analytics tools for business insights
- Lead AI-driven projects with ethical and leadership considerations
Curriculum Highlights
The 36-credit curriculum includes business foundations, statistical analysis, and quantitative electives such as customer analytics, generative AI, financial decision-making, and large-scale cloud computing on the cloud.
Top Employers
Top employers include consulting firms like McKinsey and Deloitte, tech companies like Google and Amazon, and financial institutions like JPMorgan Chase.
Admissions
Requires a bachelor's degree from an accredited institution, minimum GPA of 3.0, and relevant quantitative background; GRE is required, with work experience averaging 8 years preferred but not mandatory.
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: Required
- TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)
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