Graduate Certificate in Complex Systems and Data Science at University of Vermont

In complex physical, biological, social and engineered systems, the self-organizing dynamics of interacting entities (be they molecules, cells, genes, bacteria, plants, birds, humans, nanobots, electrical substations, etc.) give rise to emergent system properties (such as consciousness, cancer, global warming, societies, etc.). Fortunately, many essential properties of such systems may be studied, modeled and understood using similar approaches, regardless of the application domain. Learning these cutting-edge complex systems approaches can help students move to the forefront of their field and stand out when competing in a tough job market.

Department: Complex Systems and Data Science  |  Study mode: full-time  |  Location: Burlington, VT, United States

What you will study

The Certificate of Graduate Study in Complex Systems requires a total of 15 credits, distributed as shown below: 6 credits of approved Complex Systems and/or Data Science Electives taken at the graduate level. These include all courses at the 5000- or 6000-level with a CSYS prefix, many courses with a CS, Math, or Stat prefix, and miscellaneous relevant domain-specific courses in areas such as engineering, public administration, biology, plant biology, physics, etc. All electives must be approved by the graduate coordinator.

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