We are not longer accepting applications for this program for future enrollment.
The MEng in Industrial Engineering & Operations Research with a track in Data-driven Decision Analytics is a part-time professional degree program. The program is offered in the department of Industrial Engineering & Operations Research in the College of Engineering. Degree requirements include 25 units of coursework in three areas: core leadership curriculum, decision analytics, and a capstone project.
Prerequisites
Prospective students should demonstrate sufficient quantitative proficiency for graduate study in decision analytics through a combination of coursework, work experience, letters of recommendation, and optional test scores.
We seek candidates with strong quantitative foundations and demonstrated leadership potential. The program welcomes recent college graduates as well as early-to-mid career professionals. Some of the majors that prepare students for the Decision Analytics concentration include Statistics, Math, Computer Science, Physics, Economics, Systems Engineering, and Industrial Engineering.
- Leadership Breadth: Gain the broad set of management, leadership and communication skills you need to lead technology enterprises and ventures with our core leadership curriculum, common for all students in the program. (8 units)
- Capstone Experience: Your team capstone project analyzes and addresses an industry challenge to integrate the core curriculum with your technical coursework. (5 units)
- Technical Depth: Deepen your technical expertise with coursework in your engineering area, chosen from among 19 concentrations in new and emerging technologies. (12 units)
Leadership and Management Curriculum (8 units)
In the Berkeley Master of Engineering Program, students learn from leaders among leaders. Taught by business and engineering faculty and lecturers with industry and entrepreneurial experience, the coursework covers key leadership principles and management concepts specific to technology-dependent enterprises. Students study real-life business situations through case studies. Topics include: marketing, negotiations, R&D tech management, project management, accounting, finance, entrepreneurship, strategy, ethics, intellectual property, law and governance. Learn more about our leadership teaching team.
- Fall Engineering Leadership courses – three 1 unit classes
- Spring Engineering Leadership courses – three 1 unit classes
- Communications for Engineering Leaders – 2 units
Technical Coursework: Decision Analytics Track (12 units)
Students completing this degree will understand how to gather and analyze data; how to identify trends and patterns in the data to better predict future events; how to use data to make decisions in complex, dynamic environments; and how to hedge against risk and account for uncertainty. Courses are taken in the College of Engineering’s Industrial Engineering & Operations Research department.
- Optimization Analytics core MEng course – 3 units
- Risk Modeling, Simulation & Data Analytics core MEng course – 3 units
- Descriptive Analytics course – 3 units
- Predictive Analytics course – 3 units
Capstone Projects (5 units)
The capstone project, a 5-unit course over two semesters, integrates core leadership coursework with data-driven decision analytics. For the capstone project, students join a team of three to five students who apply their knowledge and skills to actual industry problems.
Past capstone team projects have included:
- Big Data Analytics
- Crowdfunding
- Discovering Insights from Financial Data with Intuit
- Extracting Driving Maneuvers with Vehicle Data Science
- Machine Learning and Strategic Analysis of IP with Nventi
- Prosper Marketplace: peer-to-peer lending marketplace for consumer loans
- Estimating Price Sensitivity using On-line Data
- NetApp Internship Project
