Construction Engineering
From robotics and digital twins to data-driven project delivery—transforming the building process.
Building Better, Safer and More Sustainable Infrastructure
Construction Engineering (CON) research at NC State focuses on improving how infrastructure is planned, delivered and maintained. Through one of the most comprehensive course offerings in the country, the program prepares students for successful careers across the construction industry.
From project management and safety to emerging technologies like artificial intelligence and robotics, our work helps ensure that infrastructure is built more efficiently, more safely and with greater long-term value.
What Our Work Enables
CON research spans the full lifecycle of infrastructure, from planning and construction to long-term performance, to improve safety, efficiency and sustainability.
cON FOCUS AREAS
AI-Powered Visual Analytics and Digital Twins
Autonomous Robotics and Immersive Safety Training
Infrastructure Asset Management and Data Integration
Transportation Safety and Quantitative Policy Analysis
Cognitive Hazard Recognition and Risk Management
Immersive Safety Training and AI Integration
Predictive Performance Analytics and Success Modeling
Field-Deployable Intelligence and Remote Site Monitoring
Social Sustainability and Global Infrastructure Expansion
Infrastructure Resilience and Decarbonization
Why It Matters
Infrastructure projects are complex, resource-intensive and essential to everyday life. CON research helps communities:
- Deliver projects on time and within budget
- Improve safety for workers and the public
- Extend the life of critical infrastructure
- Reduce environmental impact
- Make better, data-informed decisions
Our work ensures that the systems we depend on — from transportation networks to public facilities — are built to perform, adapt and endure.
Key Resources
Faculty and Contacts
- Alex Albert
- Kevin Han
- Edward Jaselskis
- Jessica Kaminsky
- Roberto Nunez
- William Rasdorf
- David Johnston (Emeritus)
- Mike Leming (Emeritus)
Courses and Academic Pathways
The Construction Engineering program offers one of the most comprehensive course selections in the country, preparing students for careers across the construction industry.
Based in the rapidly growing Raleigh region, students benefit from strong industry partnerships, an active alumni network and access to major construction markets, creating opportunities for internships, co-ops and full-time roles.
Graduates go on to lead across industry and academia, with former Ph.D. students holding faculty positions at leading institutions in the U.S. and around the world.
CON Courses
Course Course Number Credits Current and Planned Offerings* Spring 2024 Fall 2024 Spring 2025 Fall 2025 Spring 2026 Construction Project Management CE 561 3 L & D Legal Aspects of Contracting CE 564 3 L & D L & D L & D Construction Safety Management CE 565 3 L L L Risk and Financial Management CE 567 3 L & D Intro to Facility Engineering EGR 517 3 L & D L & D Environmental Compliance for Facilities Engineers EGR 518 3 L & D L & D L & D Building Information Modeling in Construction CE 592** 3 L L CII Best Practices CE 592** 3 L & D International Construction CE 592** 3 L & D Materials Management in Construction CE 763 3 L & D L & D L & D Decarbonizing Engineering Projects and Organizations CE 592
Graduate Programs
The Master of Science (MS) degree requires a minimum of 30 semester hours of graduate study including up to 6 credit hours for a thesis and a final oral examination. The Master of Civil Engineering (MCE) degree requires a minimum of 30 semester hours of graduate study without a thesis. This degree is also available by distance education through Engineering Online. Both degrees require 18 credit hours in civil engineering, of which 12 hours must be taken from a set of core courses in construction engineering and management.
The Doctor of Philosophy (Ph.D.) degree normally includes one academic year of full-time coursework beyond the master’s degree. The major component of the Ph.D. program is the preparation of a dissertation reporting the results of an original investigation that represents a significant contribution to knowledge.