Master of Engineering (MEng) in Risk Engineering
Prepare for a career using big data and models to assess risk and guide decisions
Mitigating losses and human impacts to a range of extreme events, including financial, public health, environmental, and climatalogical crises is far more cost-effective than paying for recovery, remediation, and reconstruction.
“We’re seeing regular occurrences of events that we could have never previously predicted, owing, at least in part, to a changing climate, enhanced global connectivity, and evolving social institutions. It means we need to create systems that are robust in case things don’t turn out exactly as we expect.”
–Mark Borsuk, Co-Director oF Duke CEE's risk engineering program
Prioritizing mitigation in the context of multiple hazards is a compelling challenge for the 21st century. Duke's Master of Engineering (MEng) in Risk Engineering emphasizes a systems approach and the use of statistical decision theory to assess the potential for extreme events, and the costs and benefits of their consequences.
Graduates from this program will be prepared to work in sectors as varied as risk assessment, engineering and business consulting, insurance, financial engineering, and infrastructure analysis, and more. Download our program brochure.
We offer significant support for competitive applicants – typical scholarships range from $20,000-$30,000.
Our students explore concentration areas including:
- Environment and Population Health
- Materials and Structures
- Energy and Climate Systems
Degree requirements, detailed below, include:
- 30 course credits
- 1 Seminar
- Internship Opportunity
- For fall admission: January 15 (Round 1), March 15 (Round 2) and June 1 (Round 3–US citizens and permanent residents only)
- For spring admission: September 1 (Round 1) and November 1 (Round 2–US citizens and permanent residents only)
The Duke Master of Engineering (Meng) in Risk Engineering
Who Should Consider Applying?
- Practicing engineers and scientists with backgrounds in civil, environmental, or another branch of engineering who wish to earn a master’s degree providing them with expertise in risk analysis, added competence in an engineering specialty, proficiency in risk policy, economics, or law, and advanced leadership and management skills
- Duke undergraduates who wish to participate in a 4+1: BSE+Master’s program that builds on, and complements, their undergraduate education
- Other recent undergraduates in engineering (or a related mathematical or physical sciences, with appropriate catch-up courses) who wish to obtain a non-thesis master’s degree in preparation for professional work or as a first step towards subsequent graduate study.
How Duke's MEng in Risk Engineering Will Differentiate You in Your Career
- Engineering positions in model-based risk assessment increasingly require master's-level training.
- Analysis and management of risks in the modern world requires knowledge of the economic, policy, and societal context, in addition to the technical and mathematical foundations.
- Expertise in probabilistic modeling, data analysis, risk assessment, and decision-making under uncertainty is critically important to a broad range of academic, industrial, and governmental career paths.
- Graduates from this program will be prepared to work in a wide variety of sectors including risk assessment, engineering and business consulting, insurance and re-insurance industry, financial engineering, and infrastructure analysis, among others.
- Students completing the program will be well-prepared to continue on in PhD programs in systems engineering, financial engineering, operations research, or infrastructure engineering.
Our faculty bring experience and expertise from engineering and data science. Leaders of the MEng in Risk Engineering are:
Research interests include mathematical models for integrating scientific information on natural, technical, and social systems; Bayesian network modeling with application to environmental and human health regulation and decision making; novel approaches to climate change assessment, combining risk analysis, game theory, and agent-based modelling.
Henri Gavin's interests includes structural dynamics, earthquake engineering, seismic hazard mitigation for building contents, nonlinear dynamics, system identification, optimal control with application to systems with controllable damping.
Johann Guilleminot’s research focuses on uncertainty quantification, computational mechanics and materials science, as well as on topics at the interface between these fields.
The Master of Engineering in Risk Engineering is a 30-credit degree distributed as:
- Core Industry Preparation Courses (6 credits)
- Core Engineering Courses (6 credits)
- Methodological Requirements (9 credits)
- Technical Electives in a Concentration Area (12 credits)
- Internship, Project or Equivalent (0 credits)
Curriculum and Requirements
I. Course Requirements in Business Fundamentals, Leadership and Management (6 credits; 2 courses)
- MENG 540: Management of High Tech Industries (3 credits)
- MENG 570: Business Fundamentals for Engineers (3 credits)
II. Core Course Requirements in Uncertainty, Risk, and Systems Engineering (6 credits; 2 courses)
- CEE 690: Uncertainty and Risk in Engineering (3 credits)
- EGRMGMT 590: Introduction to Systems Engineering
III. Methodological Requirements (9 credits; 3 courses, each from a different area of:)
Mathematical Modeling and Optimization
- CEE 627: Linear Systems Theory
- CEE 629: System Identification
- CEE 690: Numerical Optimization
- PHYS 513: Nonlinear Dynamics
- MATH 551: Applied Partial Differential Equations and Complex Variables
- MATH 555: Ordinary Differential Equations
- MATH 561: Numerical Linear Algebra, Optimization and Monte Carlo Simulation
- MATH 577: Mathematical Modeling
Uncertainty Quantification and Data Analytics
- CEE 644: Inverse Problems in Geosciences and Engineering
- CEE 690: Uncertainty Quantification
- ECE 555: Probability for Electrical and Computer Engineers
- ECE 581: Random Signals and Noise
- ECE 585: Signal Detection and Extraction Theory
- COMPSCI 571: Machine Learning
- COMPSCI 579: Statistical Data Mining
- MATH 541: Applied Stochastic Processes
- STA 502: Bayesian Inference & Decision
- STA 601: Bayesian and Modern Statistics
- STA 611: Introduction to Modern Statistics
- STA 623: Statistical Decision Theory
Valuation, Assessment, and Decision Making
- CEE 679: Environmental Engineering Project Management
- ENERGY 590: Applied Energy Economics
- ECON 753: Natural Resource Economics
- ENVIRON 531: Economic Valuation of the Environment
- ENVIRON 638: Environmental Life Cycle Analysis & Decision
- ENVIRON 717: Markets for Electric Power
- ENVIRON 640: Climate Change Economics
- PUBPOL 504: Counterterrorism Law and Policy
- PUBPOL 505S: National Security Decision Making
- PUBPOL 580S: Water Cooperation and Conflict
- PUBPOL 582: Global Environmental Health: Economics and Policy
- PUBPOL 583S: Energy and U.S. National Security
- PUBPOL 585: Climate Change Economics and Policy
- PUBPOL 607: Cost-Benefit Analysis for Health and Environmental Policy
- LAW 590: Risk Regulation
IV. Concentration Area Requirements (9 credits; 3 courses)
Environment and Population Health
- CEE 560: Environmental Transport Phenomena
- CEE 561: Environmental Aquatic Chemistry
- CEE 563: Fate and Behavior of Organic Contaminants
- CEE 571: Control of Hazardous and Toxic Waste
- CEE 581: Pollutant Transport Systems
- CEE 667: Chemical Transformations of Environmental Contaminants
- CEE 683: Groundwater Hydrology and Contaminant Transport
- CEE 684: Physical Hydrology and Hydrometeorology
- ENVIRON 539: Human Health & Ecological Risk Assessment
- ENVIRON 563: Cost-Benefit Analysis for Health and Environmental Policy
Materials and Structures
- CEE 525. Wave Propagation in Elastic and Poroelastic Media
- CEE 621. Plasticity
- CEE 642. Environmental Geomechanics
- CEE 520. Continuum Mechanics
- CEE 541. Structural Dynamics
- ME 527. Buckling of Engineering Structures
- ME 555. Computational Materials Science
- ME 742. Nonlinear Mechanical Vibration
- BME 590. Viscoelastic Biomechanics
Energy and Climate Systems
- CEE 575: Air Pollution Control Engineering
- ENERGY 716: Modeling for Energy Systems
- ENERGY 711: Energy and the Environment
- ENERGY 630: Transportation and Energy
- ENERGY 631: Energy Technology and Impact on the Environment
- ENERGY 635: Energy Economics and Policy
- EOS 512: Climate Change and Climate Modeling
V. An internship, applied research experience or project (0 credits)
- MENG 550: Internship or Applied Research Project
- MENG 551: Internship/Project Assessment
Sample Curriculum: MEng in Risk Engineering
(This table does not reflect choice of specialization.)
|Fall Year 1||Spring Year 1||Summer Year 1||Fall Year 2|
|Core Industry Preparation Courses||MENG 570: Business Fundamentals for Engineers||MENG 540: Leadership & Management Principles for Technology-Based Organizations||MENG 550: Internship or Applied Research Project||MENG 551: Internship/Project Assessment|
|EGRMGMT 590: Introduction to Systems Engineering||CEE 690: Uncertainty and Risk in Engineering|
|Departmental Requirements||Methodological Requirements||Methodological Requirements||Methodological Requirements|
|Departmental Requirements||Application Area Requirements||Application Area Requirements||Application Area Requirements|
We provide outstanding career support to our master's students.
As a Duke master's student, you can take advantage of our comprehensive and aggressive career development and job search program. You will receive advice from our Master's Assistant Directors of Career Services who work with the Duke Career Center to coordinate various activities throughout the year.
Our career services include:
- On-campus recruiting
- Individual and group career coaching
- Special networking events such as Career Fairs, Tech Connect, Night with Industry and Alumni Networking Event
- Resume and cover letter development, interviewing tips, and social media advice
The Duke Master of Engineering (MEng) program does not require a minimum GPA or a minimum score on the GRE or TOEFL. The program does not require work experience. Average GRE, TOEFL and grade-point averages of recently admitted Duke MEng applicants were*:
- GRE Quantitative: 163-169
- GRE Verbal: 152-161
- UGPA: 3.4-3.7
* Mid-50% range
Scholarships and Cost of Attendance
We offer significant support for competitive applicants – typical scholarships range from $20,000-$30,000.
Before scholarships, program tuition for the 2017-2018 academic year was $25,860 per semester taken at the university. In general, completion of the 30 required credits over three semesters would result in a total tuition cost of $77,580. Please note that the internship courses do not incur tuition charges. Download 2017-2018 Program Tuition, Fees, and Estimated Expenses.
Financial Aid and Fellowships
For costs after scholarships, many students take out loans and believe there will be an excellent return on investment when they get out into the work force.
Limited additional financial aid is available to highly qualified candidates through academic scholarships with an emphasis on increasing diversity within the program.
Detailed Financial Aid Info
Underrepresented minorities may receive up to 50 percent per year in tuition scholarship through our Diversity Scholarships.
Externally Funded Scholarships
We also offer support to recipients of select competitively externally funded scholarships, such as
- National Science Foundation (NSF) Fellowships
- Fulbright Scholar Program
DoD SMART Scholarship Program
For US Citizens only – The Science, Mathematics And Research for Transformation (SMART) Scholarship for Service Program has been established by the Department of Defense (DoD) to support undergraduate and graduate students pursuing degrees in Science, Technology, Engineering and Mathematics (STEM) disciplines. The program aims to increase the number of civilian scientists and engineers working at DoD laboratories. Read more...
Duke University offers information for veterans who are applying for VA benefits, including the Yellow Ribbon Program.
Stafford Loan Program
US citizens and eligible non-citizens may borrow through the Federal Stafford Loan Program. Applicants for assistance through this program must file a Free Application for Federal Student Aid (FAFSA), which may be completed online at https://fafsa.ed.gov/. When completing the online form, students will be asked for Duke’s school code; it is 002920.
Maximum eligibility under the Stafford Unsubsidized Loan Program is $20,500 per year. For further information on the FAFSA and the Stafford Loan Program, please call (800) 433-3243.
International applicants are not eligible for Federal loans; however, many international students take out loans in their home countries, and some US banks may offer loans to international students for study in the United States. Duke University maintains information on lenders for citizens, permanent residents, and non-US citizens.
While enrolled in the program, many students work in a variety of places, such as campus libraries and various departments within Duke University. Teaching assistantships are available in various departments, and some departments have research assistantships as well.
These positions are paid an hourly rate, and most students work between 10 to 20 hours per week. Positions are generally posted and filled just a week or two before classes begin each semester.
External Funding Opportunities
Browse our extensive list of potential external funding opportunities on our dedicated website for MEng students.