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School of Engineering and Computer Science
University of the Pacific
3601 Pacific Avenue
Stockton, CA 95211

Fourth Semester

This course builds upon the Introduction to Data Visualization by introducing students to techniques for combining traditional storytelling with data visualization to create compelling ways to communicate analytical findings with lay persons and business stakeholders. Students will learn traditional storytelling structures and how to overlay these structures on the visual presentation of data and analytical models. This experiential course is centered around one or more team projects using business scenarios and data sets. Prerequisites: Introduction to Data Visualization

This course introduces advanced visualization techniques for developing dynamic, interactive, and animated data visualization. Students will learn a variety of techniques for the visualization of complicated data sets. These techniques are valuable for visualizing genomic data, social or other complex networks, healthcare data, business dynamics changing over time, weather and scientific data, and others. Often the visual presentation of data is enhanced when it is made interactive and dynamic, allowing users to "move through" the data and manipulate the data graphically for exploratory analysis. This presentation often involves web application development, and students will be exposed to these rudiments as well as tools that enable faster development of data visualization.  Prerequisites: Visual Storytelling


This course is a culmination of all modules in the MSc Analytics program. It provides an experiential learning opportunity that connects all of the materials covered in the MSc Analytics program. Students will be formed into teams (typically of three) and assigned to an industry-sponsored project. Capstone projects will be agreed upon in advance with sponsoring companies and will represent real-world business issues that are amenable to an analytic approach.  These projects will be conducted in close oversight by the sponsoring company, as well as, a University of the Pacific (UOP) faculty member and may be conducted on the sponsoring company's premises using their preferred systems and tools (at the sponsoring company's discretion).

Students will be expected to complete the specific project outcomes defined at the start of the project, including a final presentation to the sponsoring company, their project lead and executive management, as well as Pacific faculty and program director. The presentation will include a clear explanation of the data sources, data cleanliness / deficiencies, analytic techniques used, derived insights and compelling visualizations and recommendations. The final report should also indicate any known deficiencies in the results (e.g. due to missing data) and the degree of confidence their customers should have in the insights and recommendations provided.