Graduate Certificate

Data-enabled Water Sustainability and Equity - Graduate Certificate

Program:
Data-enabled Water Sustainability and Equity - Graduate Certificate
Plan Code:
DEWSE_GRC2
Program Level:
Graduate Certification
Award Type:
Graduate Certificate Program
College:
College of Engineering
Department:
Civil and Environmental Engineering


Excerpt from the official Academic Programs Catalog:

Listed below are the approved requirements for the program from the official Academic Programs Catalog.
Students must consult their advisors to learn which specific requirements apply to their degree programs.


College of Engineering

Department of Civil and Environmental Engineering

Graduate Study
Data-enabled Water Sustainability and Equity - Graduate Certificate

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

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.
Requirements for the Graduate Certificate in Data-enabled Water Sustainability and Equity

Students must complete a minimum of 10 credits from the following:
1. The following course (1 credit):
FW 867 Water: A Global Perspective 1
2. One of the following data science courses (3 credits):
CMSE 801 Introduction to Computational Modeling and Data Analysis 3
CSE 404 Introduction to Machine Learning 3
CSE 881 Data Mining 3
GEO 429 Programming with Spatial Data 3
GEO 866 Spatial Data Analysis 4 
3. One of the following social science courses (3 credits):
AIIS 801 Indigenous Theories and Methodologies 3
CSUS 858 Gender, Justice and Environmental Change: Issues and Concepts 3
CSUS 848 Community Based Natural Resource Management in International Development 3
SOC 865 Environmental Sociology 3
4. One of the following experiential learning courses (3 credits):
ESP 804 Environmental Applications and Analysis 3
FW 868 Water Policy and Management 3