Certificate of Graduate Study in Complex Systems
A five-course booster pack in Complex Systems and Data Science.
Overview
What It Is
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).
Step 1 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
Step 2 Get With the Program
Certificate Requirement
5 courses (15 credits) with a minimum GPA of 3.0 in all 5 courses.
Structure Options
1
Option 1
- 3 required core courses
- 1-2 A-list courses
- 0-2 B-list courses
2
Option 2
- 2 required core courses
- 1-3 A-list courses
- 0-2 B-list courses
Step 3 Required Core Courses
• CSYS/MATH 6701: Principles of Complex Systems
• CSYS/CS 6020: Modeling Complex Systems
• CSYS/STAT/CS 5870: Data Science I - Experience
Step 4 A-List Courses
View A-List Courses
- 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
Step 5 B-List Courses
View B-List Courses
- 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
Questions?
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