AI for People, Organizations, and Innovation
Learn how to drive effective transformation in the age of AI
What is AI?
Artificial Intelligence (AI) enables transformative technologies that connect problems to solutions. At the department of Technology Management & Innovation, we explore the impact of AI on people, organizations, and innovation ecosystems. Beyond building intelligent systems, we focus on leading AI adoption. As a department of technical researchers, social scientists, and industry practitioners, we study AI in the broader context of business strategy, human behavior, and public policy. Through interdisciplinary approaches to engineering and management, we hope to shape a responsible future of AI growth.
AI Adoption
AI is the most cutting-edge force reshaping every industry — from healthcare to finance to manufacturing and healthcare. But transformation requires more than just technology. It demands leaders who understand:
- How AI changes organizational structures and cultures?
- Where AI solutions can provide value capture?
- How to manage AI stacks across interdisciplinary teams?
- How to ensure trustworthy and fair AI deployment?
Since change management in the AI era requires more than just algorithms, we don't just teach the tools and techniques of AI — we teach students to think critically about the role of AI in business and society.
Future of Work
AI isn't just changing what we do — it's changing how we think about innovation itself. Changes to roles and responsibilities require unconventional engineers and managers with a unique combination of skills:
- Digital Literacy: Understanding AI capabilities at high levels and low levels
- Business Acumen: Translating AI potential into better deliverables
- Leadership Skills: Managing diverse teams through data driven decision making
- Governance Frameworks: Ensuring AI serves business needs responsibly
- Systems Thinking: Building AI enabled platforms to span the enterprise
According to the Bureau of Labor Statistics, employment in AI and technology management is projected to grow 10% through 2029 — faster than almost any other field.
Course Offerings
Our graduate curriculum of AI-related courses spans several knowledge areas across our Management of Technology and Industrial Engineering programs. The AI era demands a new kind of professional — one who combines quantitative and qualitative skills across a range of areas.
Digital Strategy & Business Design
- MG-GY 9781 Selected Topics in Management - Beyond Data: Gen AI-Driven Business Strategy
- MG-GY 8813 Design for Innovation with AI and ML
Data Analytics & Causal Inference
- MG-GY 8413 Business Analytics
- MG-GY 8423 Machine Learning for Business
- MG-GY 8421 Programming for Gen AI
- MG-GY 8411 Data Engineering
- MG-GY 8863 From Correlation to Causation
Operations & Supply Chain
- IE-GY 6003 AI and ML in Capital Investment Projects
- IE-GY 9753 Robotics and Process Automation
- IE-GY 7893 Systems Performance Analysis
Urban Innovation & Social Impact
- MG-GY 8873 Urban Computing and AI
- CUSP-GX 7043 Civic Analytics and Urban Intelligence
- MG-GY 8823 Digital Civics for Social Innovation
- CUSP-GX 8083 Big Data Management and Analysis
- CUSP-GX 7053 Innovative City Governance
People Analytics & Human Capital
- MG-GY 6373 Human Capital Big Data, Predictive Analytics & ROI
- IE-GY 6063 Ergonomics and Human Factors
Operations Research
- IE-GY 9753 Operations Research with AI and ML
- IE-GY 8113 Complex Systems Analysis
- IE-GY 6823 Discrete Events Simulation
Career Advantage
Emerging technologies like AI bring both opportunity and challenges. Organizations need leaders who can navigate a rapidly changing landscape. So what then is the most important skill for the AI era? Learning to learn.
- Intentional Learning: Fostering curiosity and adaptability in your attitude and outlook
- Critical Analysis: Questioning AI applications and their implications
- Human-Centered Design: Ensuring technology serves people and organizations
- Responsible Leadership: Making sounds decisions in situations requiring trade-offs
- Strategic Thinking: Looking beyond near-term gains for long-term impact
As McKinsey research shows a growth mindset as opposed to a fixed mindset enables students to gain a career advantage in the AI era. In a world of rapid AI disruption, your ability to pivot, reskill, and upskill continuously matters more than any single technical competency.
NYU Tandon students can leverage the combined resources of NYU Wasserman Center for Career Development and the NYU Tandon Career Hub for job placement opportunities.
Experiential Learning
Active learning is central to our curriculum. Our Capstone Projects allow students to partner with leading organizations to take their skills outside of the classroom. Recent projects include:
- Developing AI strategies for municipal government
- Streamlining product design with AI powered feedback
- Prototyping AI applications for startups
- Optimizing supply chains with AI agents
Learn about Capstone Projects
Increasingly AI provides more accessible ways to engage hands-on with technology. Managers with diverse backgrounds can use AI to foster an ownership mindset–going from planners and checkers to builders and multipliers at their companies.
Campus Ecosystem
New York City was nicknamed Silicon Alley for its leading role in technology. Located in a hub of invention, innovation and entrepreneurship, the area offers unparalleled chances to grow your career.
Brooklyn: An Unconventional Location
Ready to Lead in the AI Era?
The future of work requires managers who can connect the technical potential of AI with its commercial impact. At Technology Management & Innovation, we're preparing the next generation of leaders to use AI more effectively, efficiently and equitably. Join us at New York University to shape a world where AI drives business solutions.