Stevens Institute of Technology

How this program compares

At an estimated $50.2K in total tuition, the Masters in Business Intelligence - Data Science and AI sits about 18% above the $42.4K average for AI master's programs in our database — placing it in the 69th 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: A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with prerequisites in calculus, probability/statistics, and programming experience. The program targets students with technical backgrounds in mathematics, economics, engineering, or computer science.

About This Program

This program focuses on using data science and artificial intelligence to extract actionable insights and drive strategic business decisions. Coursework concentrates on Generative AI and LLMs and Machine Learning. Most students complete it in about 1.5 years.

Estimated total tuition is $50.2K, above the $42.4K average for AI master's programs in our database and in the 69th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Lead as Data Scientist in Cross-Industry AI with data visualization expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

Lead as Data Scientist in Cross-Industry AI with data visualization expertise

• 1. Business Intelligence Analyst
• 2. Data Scientist
• 3. AI Business Consultant
• 4. Analytics Manager

What You'll Learn

• Apply machine learning and AI techniques to solve business problems.
• Analyze large datasets for actionable business insights and predictions.
• Use business intelligence tools for data visualization and decision support.
• Optimize strategies through risk assessment and web mining.

Curriculum Highlights

The coursework covers big data analytics, machine learning for business, and the implementation of intelligence systems in organizations.

Top Employers

Top employers include tech firms like Google and Amazon, financial institutions such as Goldman Sachs, consulting companies like McKinsey, and industry leaders in data-driven sectors.

Admissions

A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with prerequisites in calculus, probability/statistics, and programming experience. The program targets students with technical backgrounds in mathematics, economics, engineering, or computer science.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)