Human-Centered Design for Data
Human-Centered Design for Data Overview
The Human Centered Design for Data emphasis develops an understanding of theoretical foundations and the necessary hands-on experience to understand the strengths and limitations of different methods. Students learn the significance of each component in the information lifecycle and its impact on technical and social data analytics.
Courses
Outcomes
Graduates of the Masters of Science in Data Science and Analytics who pursue the Human Centered Data emphasis area will achieve the following educational objectives:
- Students will develop a deep understanding of the theoretical foundations and hands-on experience necessary to understand the strengths and limitations of different analytical methods.
- Combines both the technical (databases, social networking, data mining, and text mining) and social (economic, ethical, policy, and political) aspects of data analytics.
- Students will build an understanding of the complex interplay between the decisions made during the collection, curation, and transformation steps in the information lifecycle, and their impact on the analytical methods that should be employed.
Human-Centered Design for Data Faculty
Rose Marra
Assistant Research Professor
221N Townsend Hall
(573) 882-2877
marrar@missouri.edu
Sample Course Path
Students move through 8-week modules completing core courses and then progressing through emphasis area concentration courses directly applicable with their area of study.
