Certificate of Graduate Study in Complex Systems

In a nutshell:

The Graduate Certificate is a five (5) course booster pack in Complex Systems and Data Science.

Who it's for:

The graduate certificate can be earned by students as a complement for their graduate degrees across the University of Vermont, or as a stand-alone post-baccalaureate Graduate Certificate (online/or in person).


The Academic Background You'll Need

Prerequisites

A bachelor's degree and demonstrated proficiency in:

  • Calculus
  • Probability and statistics
  • Computer programming (Python, R, and Matlab will be most helpful)

Highly recommended (but not required):

  • Linear algebra
  • Note: Specific electives may have additional prerequisites


Once you've joined the team... time to get with the program

The certificate requirement is 5 courses (15 credits), with a minimum GPA of 3.0 in all 5 courses.

Structure:

  • 3 required core courses,
  • 1-2 A-list courses, and
  • 0-2 B-list courses.

Or,

  • 2 required core courses,
  • 1-3 A-list courses, and
  • 0-2 B-list courses.

Required core courses (3):

  • CSYS/MATH 6701: Principles of Complex Systems
  • CSYS/CS 6020: Modeling Complex Systems
  • CSYS/STAT/CS 5870: Data Science I - Experience


CSYS 5766: Chaos, Fractals, and Dynamical Systems

CSYS/MATH 6713: Complex Networks

CSYS/CS 6520: Evolutionary Computation

CS/STAT 3560: Neural Computation

STAT 5530: Appl Time Series & Forecasting

CSYS/STAT/CEE 7980: Applied Geostatistics

CSYS/CEE 7920: Applied Artificial Neural Networks

CSYS/STAT/CS 6870: Data Science II

MATH 5788: Mathematical Biology & Ecology

MATH 5230: Adv. Ordinary Differential Equations

ME 5410: Advanced Bioengineering Systems

EE 5320: Smart Grid

ME 6550: Multi-Scale Modeling

CSYS/EE 6990: Optimization in Engineering

PA 6080: Decision Making Models

PA 6170: Systems Analysis and Strategic Management

PA 6060: Policy Systems

PBIO 5940: Ecological Modeling

PBIO 5750: Global Change Ecology

PBIO 6940: Data Modeling for Envir Science

BIOL 3165: Evolution

CS 3060: Evolutionary Robotics

CS 3540: Machine Learning

CS 6540: Deep Learning

ENVS 4990: Envir. Modeling and Systems Thinking

CEE 6990A: Data Analytics for Water Resources