Information Visualization

A focus area in the M.S. Computer Graphics Technology Program
in the Department of Computer Graphics Technology

What is Data Visualization?

Data Visualization is the art and science of graphically representing data through computer for the purpose of amplifying human cognition. It is the iterative process of transforming raw data into visual representations that provide insights into what the data represents. Insight enable the analysis of data, informed decision making, discovery of new knowledge, and the explanation of the scenario behind the complex data.  Insight enables storytelling through and about data.

What can you do as a Data Visualization Specialist?

We live in a data-rich, data-enabled world. Understanding the data visualization process affords flexibility to work in any industry, discipline, every major, every sector in society where there is data to be analyzed and visualized. If you have the interest, the motivation, the ability to think creatively and broadly, you are only limited by your imagination.

Why is Data Visualization Important?

Data is everywhere. There is a demand for persons with data visualization skills in every discipline and industry. Having the skills to transform data into something more meaningful and the capacity to represent data in a visual way affords flexibility to go beyond being a generator and user of data to being a person who can make sense of data and present it in a visual way for broader audiences. 

What exactly will I get to do as a Visualization Scientist?

Information visualization is not only about visualization, it is about science of human perception and cognition, data science, computer science, business intelligence, and art and design. Topics covered include:

Information Visualization | Scientific Visualization

Visual Analytics | Big Data Analytics 

Data Science/Data Mining | Data Integration | Databases

Artificial Intelligence | Augmented/Virtual Reality

Machine Learning | High Performance Computing


Sample Plan of Study

Fall (Year 1) Spring (Year 1)
CGT 501 (1 cr.) Computer Graduate Seminar CGT 501 (1 cr.) Computer Graduate Seminar
CGT 511 Development of Computer Graphics CGT 581 Visualization Design and Analysis
CGT 575 Visualization Tools & Applications CGT 581 Medical Imaging
STAT 505/511 Statistics Elective (e.g. Introduction to Scientific Visualization)
Fall (Year 2) Spring (Year 2)
CGT 501 (1 cr. Computer Graduate Seminar) Elective (e.g. CGT 610 Visual Intelligence and Perception)
CGT 670 Applications in Visual Analytics CGT 698 Thesis or CGT 597-00 (4 cr.) InfoVis Capstone Devlopment
TECH 646  
CGT 698 (2 cr. Thesis proposal or CGT 597-00 (2 cr.) Information Visualization Capstone Development (Proposal)