Accelerate business impact through cutting-edge innovation and advanced computing. The STEM‑designated MBA concentration in Artificial Intelligence & Advanced Computing prepares future leaders to translate cutting‑edge computing breakthroughs into competitive advantage.
Program Overview
The Artificial Intelligence & Advanced Computing concentration builds is a STEM-Designated 36‑credit MBA program. Complete the degree in as little as 1 year (three consecutive semesters, fall–spring–summer or spring–summer–fall), or follow an extended path with an additional spring or fall semester to balance work and study and pursue a summer internship or project.
Highlights include:
- Cutting‑edge labs & data access – Leverage state‑of‑the‑art AI, data, and technology resources—including Bloomberg Terminals and proprietary financial datasets—both in our dedicated lab spaces and directly on your own device.
- Interdisciplinary AI curriculum that integrates computer science, data science, business analytics, and ethical governance.
- Industry‑sponsored, hands‑on projects that let you solve real business problems alongside corporate partners and faculty researchers.
- Career‑ready skill building in machine learning, generative AI, cloud computing, and data‑driven decision‑making.
- Personalized mentoring within a tight‑knit cohort, providing close faculty interaction and robust professional networking opportunities.
What makes this MBA unique?
- Strategic AI Leadership – Courses such as Technology Strategy in the Age of AI help you architect and govern enterprise‑level AI portfolios.
- Quant‑ready Business Core – Required classes in data science, economics, finance, and digital transformation ensure that graduates can translate algorithms into Return on Investment (ROI).
- Quantum & Advanced Computing Exposure – Engage in practicums that leverage quantum annealing, high‑performance GPU clusters, and edge‑AI hardware residing only steps from your classroom.
- Built for Innovators – RPI’s Johnson‑ScaleUp Studio and Severino Center provide incubator funding, IP guidance, and investor connections for student‑founded AI ventures.
Program Outcomes
Graduates will be able to:
- Design AI‑driven business strategies that align with ethical and regulatory frameworks.
- Evaluate advanced‑computing architectures—including quantum, GPU, and cloud‑native stacks—for enterprise use cases.
- Communicate complex technical insights to executive and investor audiences.
- Lead cross‑functional teams to commercialize AI innovations and scale digital products.
After Graduation
Artificial Intelligence & Advanced Computing MBA alumni step into roles such as:
- AI Product Manager / Director of Gen‑AI Strategy
- Quantum‑Computing Industry Analyst
- Technology‑Investment Associate (VC / PE)
- Chief Data & Analytics Officer (SMB / Growth‑stage)
- Supply‑Chain Optimization Consultant
- Startup Founder (AI‑enabled SaaS, Robotics, FinTech)
Rensselaer MBA graduates join a global network of innovators at firms ranging from IBM, Amazon Web Services, and NVIDIA to high‑growth startups across healthcare, fintech, and advanced manufacturing.