These pathways suggest a progression of courses to help you gain proficiency in a subject area. 

Decision Analysis Pathways

Level 1Level 2Level 3

Quantitative Decision Analysis

Builds basic skills in decision theory and the use of analytical tools to support the decision analysis process

■ Introduction to Structured Decision Making, ALC3171

■ Adaptive Management: Structured Decision Making for Recurrent Decisions, ALC3176

■ Decision Analysis: Tools, ALC3191

Choose from a series of electives

Facilitative Decision Analysis

Builds basic skills in decision theory with a focus on facilitating decision analysis

■ Introduction to Structured Decision Making, ALC3171

■ Decision Analysis for Climate Change, ALC3196 (may be substituted as an online option)

■ Decision Analysis:  Elicitation and Facilitation, ALC3190

■ Collaboration and Conflict Transformation in Multiparty Process, ALC3199

Choose from a series of electives

Fisheries Pathways

Level 1Level 2Level 3

Quantitative Fisheries

Gain tools in analysis of fish and fisheries data for population assessment and evaluation of alternative management strategies.

■ Introduction to R, CSP4201

■ Introduction to Population Modeling, CSP3156b

■ Fish Population Dynamics and Assessment, CSP2300

Fish Sampling

Gain practical knowledge and skills in deploying gear for improved sampling data.

■ Principles and Techniques of Electrofishing (in-person or online), CSP2201 or CSP2c01

■ Fish Sampling Techniques, (Online, Field, Lab, and Classroom), CSP2204

■ Electrofishing Sampling Advanced Practicum, CSP2203

Statistics and Modeling Pathways

Level 1Level 2Level 3

Status and Trend Assessment Pathway

Builds abilities to develop efficient sampling designs and perform analyses to estimate population attributes (e.g., abundance) at a location and over time.

■ Making Sense of Biological Data with R, CSP4200

■ Data Wrangling with R, CSP1004

■ or Introduction to R, CSP4201

■ Statistical Modeling for Conservation, CSP4210

■ Design and Analysis of Biological Monitoring, CSP4230

Species Distribution Modeling and Conservation Design Pathway

Builds skills to develop and/or implement models identifying species-habitat relationships and important conservation areas.

■ Data Wrangling with R, CSP1004

■ Making Sense of Biological Data with R, CSP4200

■ or Introduction to R, CSP4201

■ Statistical Modeling for Conservation, CSP4210

■ Species Distribution Modeling, CSP4220

■ Occupancy Modeling, CSP4141

Data Manipulation Analysis

Become proficient in data handling and an array of common approaches to analyzing biological data. Foundation for monitoring and distribution modeling

■ Introduction to R, CSP4201

■ or Data Wrangling with R, CSP1004

■ Making Sense of Biological Data with R, CSP4200

■ Statistical Modeling for Conservation, CSP4210