Engineering Genetic Circuits: Modeling and Analysis

The University of Colorado Boulder, founded in 1876 and set against the Rocky Mountains, is a major research university serving more than 37,000 students with nearly 3,000 international learners. CU Boulder is recognized for academic excellence, expansive research programs and a sustainability-driven campus culture. Students benefit from an array of undergraduate, graduate and professional offerings that encourage innovation across science, engineering, business, arts and humanities.

Research, entrepreneurship and experiential learning are central to the CU Boulder experience, with extensive laboratory facilities, innovation labs and co-op or internship pathways that connect students to industry and civic partners. The university supports cross-disciplinary projects and provides robust advising, career services and student organizations that help translate academic interests into practical outcomes and start-up ventures.

Boulder's outdoor lifestyle and proximity to tech hubs create strong opportunities for networking, recreation and balanced living. International students are supported by dedicated offices for admissions, orientation and visa guidance, making the transition smoother. With a large program portfolio and a campus culture that values sustainability, creativity and collaboration, CU Boulder is well suited to students seeking high-impact research experiences and an active campus community.

The Engineering Genetic Circuits: Modeling and Analysis program is for professionals who want to learn about genetic circuit modeling. This non-degree program is offered in English and can be completed in a few weeks. Its main advantage is that it introduces you to modeling and simulation methods for genetic circuits.

The curriculum covers specific subjects like Systems Biology Markup Language (SBML), ordinary differential equation (ODE) methods, and stochastic simulation methods. You will develop skills to create and simulate genetic circuit models. The program also includes hands-on components to help you practice your new skills, including computational analysis for selecting parts and verifying their performance.

After completing this program, you can pursue careers like Genetic Engineer, Biomedical Engineer, Research Scientist, or Computational Biologist. You can work in various industries, including biotechnology, pharmaceuticals, or academia, and for employers like research institutions, hospitals, or private companies.