Goal 1: Data Acquisition and Management: Students must understand the technical and ethical aspects of collecting data and storing data.

Goal 2: Data Analysis: Students must have the mathematics and computing skills to effectively analyze collected data.

Goal 3: Data Presentation: Students must be able to communicate their analysis and create effective visualizations of complex data sets to support their analysis.

Goal 4: Data-Driven Decision Making: Students must be able to use their analysis to drive domain-specific decisions.

Goal 5: Effectively integrate all facets of Data Science to meet domain-specific project objectives: Students will be able to integrate the skills described above in fieldwork/thesis projects.

Learning Outcomes

Outcome 1: Demonstrate advanced skills in data acquisition and management.
Outcome 2: Demonstrate advanced skills in data analysis techniques using mathematics and statistical principles.
Outcome 3: Demonstrate advanced skills in data presentation, communication, and visualization.
Outcome 4: Demonstrate the ability to integrate skills in a multi-faceted data science project.
Outcome 5: Demonstrate the ability to make data-driven decisions.

Data Science MS

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Requirements

Description and Outcomes

Details and Faculty