The US News and World Report top-five ranked UC Berkeley Department of Industrial Engineering & Operations Research invents, analyzes and teaches tools and approaches for design, analysis, risk management, and decision-making in complex real-world systems like supply chains, energy systems, healthcare systems, and financial systems.
MEng in Industrial Engineering & Operations Research
The MEng program in Industrial Engineering & Operations Research combines business-oriented coursework with applications-focused industrial engineering and operations research courses emphasizing Optimization Analytics, Risk Modeling, Simulation, and Data Analysis. Machine Learning and Data Science are exciting new topics that combine results from stochastics and optimization to provide a growing range of products and services. It is intended to prepare students for professional practice, explicitly developing skills in managing complex projects and directing financial and operational matters. The MEng technical concentrations in this department are:
- Management Science & Engineering
- Decision Analytics
- Data Analytics and Machine Learning
- Operations Research
- Supply Chain and Logistics Management
- Modeling and Simulation
- FinTech
- Data Analytics & IP Strategy
Street Nature Score
The 2016-17 Street Nature Score project promotes and raises awareness for urban nature through a web platform which quantifies the amount of nature based on satellite data.
Professor Xin Guo
Professor Xin Guo teaches and conducts research on applied probability, control theory, and game theory and spearheaded the creation of a new FinTech concentration.
For more information, including sample course listings, visit the Industrial Engineering & Operations Research website.
