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) |