Online Masters of Engineering Program

When considering pursuing an advanced degree, it makes sense to explore your options. Students who choose to earn their Masters in Engineering in Risk Engineering and System Analytics degrees through the Glenn Department of Civil Engineering do so for various reasons.

• Convenience of online classes taught in 12-week terms, with three terms offered each year.
• Caliber and commitment of our risk management master's degree program faculty, who teach current trends using real-world examples
• Prestige and benefits from earning an advanced engineering degree from nationally recognized university

This online civil engineering master's degree program was designed for working engineering professionals. Enrolled risk engineering degree candidates attend classes and complete course requirements entirely online, eliminating the time and frustration of commuting to and from a busy university campus. Students with backgrounds in risk management, risk engineering, safety, and insurance earn their degrees and gain valuable knowledge and insights they can apply to their work right away.

The Master in risk management online degree program curriculum teaches students to better understand and communicate about risk and risk management techniques. Classes introduce traditional engineering methods with applications in risk-centric domains. Courses include:

• Human factors in risk engineering
• Fundamentals of uncertainty modeling
• Fundamentals of risk engineering
• Quantitative methods in risk engineering
• Data mining for system analytics
• Optimization support systems
• Risk analytics in supply chains
• Enterprise risk analytics
• Design thinking for risk engineering
• Capstone course

After completing the master's in risk management online degree, graduates are well-prepared to work in a variety of industries and roles, including engineering and business consulting, insurance, risk assessment and management, financial engineering, and many more.

Required Core Courses

CE 8500 - Design Thinking for Risk Engineering 3 Credits* Introduction to design thinking methodology in the context of risk engineering. Emphasis is placed on understanding risk engineering challenges, exposure to tools, brainstorming solutions, designing systems, and engaging in continuous short-cycle innovation processes to continually improve designs.

CE 8560 - Human Factors in Risk Engineering Overview of theories in sensation, perception, cognition and motor control of humans related to the design of systems; application of theories to risk engineering and human reliability assessments to reduce risk within systems and environments.

CE 8570 - Uncertainty Modeling for Risk Engineering Concepts of uncertainty, random variables, and probability in risk engineering; fundamentals of sampling, estimation, inference, a test of goodness-of-fit and regression; and survival analysis. Topics and examples are focused on the risk of constructed facilities.

CE 8580 - Fundamentals of Risk Engineering Measures of risk, vulnerability, and consequence; qualitative and quantitative methods for risk analysis and estimation; consequence models; risk communication and acceptance criteria; and treatment and management of risk. Focus on concepts, theories, and applications for risk engineering and management

CE 8590 - Quantitative Methods Fundamentals of uncertain information processing, Monte Carlo simulation, risk analysis tools, event tree analysis, fault tree analysis, decision tree and risk-based decision analysis, Bayesian updating for decision making, the value of information analysis, and risk analysis for complex systems.

CE 8700 - Capstone Design for Risk Engineering 4 Credits* Students solve open-ended, real-world risk engineering problems via a team project design process that includes development, project management, and economic decision-making components. Design and report methodologies for use in work-related projects are employed, and communication skills are reinforced through report presentations.

Elective Courses

Select 4 courses

CE 8420 - Natural Catastrophe Risk Analytics 3 Credits* Fundamentals of natural catastrophe modeling, derivation of exceedance, probability curve, hazard model, inventory model, vulnerability model, loss model, sources and impact of uncertainties, applications of catastrophe modeling to hurricane and earthquake hazards.

CE 8450 - Data Mining for System Analytics (3 credits) Essential theoretical and practical techniques in data mining, including fundamental concepts in data mining, data pre-processing, data characterization and comparison, frequent pattern analysis, classification and prediction, cluster analysis, hypotheses evaluation, feature extraction, outlier analysis, and dimensionality reduction.

CE 8470 - Optimization Support Systems (3 credits) Development of optimization models to aid in complex decision-making and risk mitigation. Risk measures of basic stochastic and robust optimization models. Soft constraints to measure risk. Implementation of models in software systems within decision support systems

CE 8480 - Risk Analytics in Supply Chains (3 credits) Supply chain risk management principles are reviewed with an emphasis on the identification, mitigation and measurement of disruptions in potential supply chain scenarios. Disruptions and risks covered will include those linked to both natural and man-made risks.

or

MGT 8120 - Supply Chain Management 3 Credits* In-depth study, through case studies and readings, of methodologies for designing and managing integrated, international supply chain networks. Topics include supply network design, distribution strategy, strategic alliances, inventory management, coordinated product and network design, and information systems for the supply chain.

CE 8490 – Enterprise Risk Analytics (3 credits) Study of enterprise risk management (ERM); ERM process; ERM frameworks including cooperating governance, line management, portfolio management, risk transfer, and risk analytics; ERM applications including credit, market and operations within the business and financial institutions; ERM implementation.

* Not part of the 3 current stackable certificates

System Analytics Certificate

If you are a busy working professional but want to take your engineering career to the next level, consider pursuing the System Analytics Certificate through the Glenn Department of Civil Engineering. Earning this online risk analytics certification can help you gain applicable working knowledge that can enhance your career, without having to take a break from that career in the process.

Students enrolled in the System Analytics Certificate program can expect to gain knowledge and actionable insights. The curriculum includes courses designed to cover principles of risk analytics and decision making, approaches to data mining, as well as decision making with a focus on enterprise risk management and business.

Covering supply chain risk analytics, enterprise risk analytics, and everything in-between, this certificate program helps engineering professionals learn to identify, quantify, review, and address data analysis system risk in their organizations.

Curriculum

• CE 8450 - Data Mining for System Analytics (3 Credits)
• CE 8470 - Optimization Support Models (3 Credits)
  
• CE 8480 - Risk Analytics in Supply Chains (3 Credits)
• CE 8490 - Enterprise Risk Analytics (3 Credits )

Risk Engineering Certificate

Full of applicable real-world information, civil engineering certificate online courses can also be used toward the Masters of Engineering in Risk Engineering and Systems Analytics program. Your postgraduate degree may be closer than you realize.

Completing the Risk Engineering Certificate and one other certificate program — followed by participation in a capstone experience — satisfies the curriculum requirements to graduate with a master's degree. This track is optional; there is also a certificate-only program for busy professionals who are not interested in pursuing an advanced engineering degree.

Our program boasts Targeted Curriculum That Engineering Professionals Can Use Immediately. Key components include Foundational Principles of Risk Engineering and Management, Engineering Risk Analysis, Methods for Estimation and Calculating Risk Probability that emphasize human factors, Financial Risk Engineering, Property Risk Engineering, and Safety and Risk Engineering.

Curriculum

• CE 8560 - Human Factors in Risk Engineering (3 Credits)
• CE 8570 - Fundamentals of Uncertainty Modeling for Risk Engineering (3 Credits )
• CE 8580 - Fundamentals of Risk Engineering and Management (3 Credits) 
• CE 8590 - Quantitative Methods in Risk Engineering (3 Credits)

Risk Management Certificate

Risk management professionals often want to advance in their careers but struggle to find convenient educational opportunities to do so. The Glenn Department of Civil Engineering offers a risk management certification program designed to provide the specialized knowledge and skills organizations need in today’s complex risk environment. Certificate-holders will gain a meaningful working knowledge of engineering risk management that can be applied to their current or future jobs quickly.

The Risk Management Certificate online curriculum was designed with busy, working professionals in mind. Courses are offered in 12-week terms and are taught by industry professionals working alongside university professors. Students can opt to earn the Risk Management Certificate alone or pair it with the Risk Engineering Certificate and a capstone experience to earn a Masters in Engineering in the Risk Engineering and Systems Analytics program.

What You Will Learn in Our Engineering Risk Management Program

Students enrolled in the Glenn Department of Civil Engineering Risk Management certification program will study:

• Fundamentals of risk estimation
• Risk management analytics
• Risk mitigation and management
• Approaches to risk management with a focus on human error
• Enterprise risk and decision making

Engineering and project management professionals working in civil engineering, or those who want to move into civil engineering roles, will benefit from learning how to identify, mitigate, and manage risks.

Curriculum

• CE 8470 - Optimization Support Models (3 Credits)
• CE 8490 - Enterprise Risk Analytics (3 Credits )
• CE 8560 - Human Factors in Risk Engineering (3 Credits)
• CE 8580 - Fundamentals of Risk Engineering and Management (3 Credits)

Requirements

The Master of Engineering in Risk Engineering and System Analytics requires a total of 31 credits. All students enroll in six core courses, including a 4 credit capstone design course, and select four elective courses.

How to Apply

Students interested in applying to the CE Masters in Risk Engineering and System Analytics program must be accepted to the Clemson University Graduate School. Application information and forms can be found on the Graduate School website. International students are welcome to apply and must meet Graduate School requirements for TOEFL and GRE scores.

Additional information concerning deadlines and program contacts can be found on the Civil Engineering Graduate Admissions page.