Stevens Institute of Technology
Online Dual MBA + ME/MS in 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 $100.4K in total tuition, the Online Dual MBA + ME/MS in Applied AI sits about 137% above the $42.4K average for AI master's programs in our database β placing it in the 95th 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 with a minimum GPA of 3.0, relevant work experience preferred for the MBA component, and background in business, computer science, or engineering. GMAT or GRE scores may be required or optional depending on the program.
About This Program
This online dual-degree program combines advanced business leadership training with technical expertise in applied artificial intelligence and machine learning. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.
Estimated total tuition is $100.4K, above the $42.4K average for AI master's programs in our database and in the 95th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Position as Product Analyst in Business AI with machine learning expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $140,000.
Career Outcomes
Position as Product Analyst in Business AI with machine learning expertise
- 1. AI Product Manager
- 2. Business Intelligence Director
- 3. AI Strategy Consultant
- 4. Data-Driven Operations Manager
What You'll Learn
- Develop AI models for business decision-making and optimization.
- Apply machine learning techniques to strategic management and operations.
- Integrate deep learning and NLP into enterprise applications.
- Analyze ethical implications of AI in business contexts.
Curriculum Highlights
The curriculum integrates core business modules with engineering coursework in optimization, machine learning, and intelligent systems design.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as McKinsey and Deloitte.
Admissions
A bachelor's degree with a minimum GPA of 3.0, relevant work experience preferred for the MBA component, and background in business, computer science, or engineering. GMAT or GRE scores may be required or optional depending on the program.
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 Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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