Overview

The Graduate Certificate in Data-enabled Water Sustainability and Equity (DWSE) will equip students with fundamental knowledge of the three dimensions of the WaterCube and with skills to integrate these areas for understanding and addressing real-world water issues. The graduate certificate requires students to complete a series of four courses, totaling 10 credits. Students will have options for fulfilling course requirements providing flexibility to incorporate the requirements into their programs of study without extending their time to degree.

Admission to the DWSE Certificate Program

For admission to the Graduate Certificate in Data-enabled Water Sustainability and Equity, students must complete an application form which includes:

1. A plan for completing the certificate requirements. Students will indicate which courses they will take to meet the program requirements, provide a brief justification for their choices, and provide a timeline for completion.
2. A statement of interest. Students will briefly describe their interest in Data-enabled Water Sustainability and Equity and their reason(s) for pursuing the graduate certificate.

The certificate is open to all MSU graduate students. Trainees may access the application form on the WaterCube NRT Trainee Team site. All others, please contact Dr. Erin Dreelin (WaterCube NRT Program Coordinator, dreelin@msu.edu) for an application form.

Requirements 

Students must complete a minimum of 10 credits from the following:                                                                                                                               

1. The following course (1 credit):            

              FW        867        Water: A Global Perspective 

2. One of the following data science courses (3 credits):  

              CMSE    801        Introduction to Computational Modeling and Data Analysis

              CSE        404        Introduction to Machine Learning

              CSE        881        Data Mining

              GEO       429        Programming with Spatial Data

              GEO       866        Spatial Data Analysis

3. One of the following social science courses (3 credits):               

              AIIS        801        Indigenous Theories and Methodologies

              CSUS     858        Gender, Justice and Environmental Change: Issues and Concepts     

              CSUS     848        Community Based Natural Resource Management in International Development

              SOC       865        Environmental Sociology

4. One of the following experiential learning courses (3 credits):  

              ESP        804        Environmental Applications and Analysis

              FW        868        Water Policy and Management