Modeling, Virtual Environments and Simulation

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About Modeling, Virtual Environments and Simulation

A program focusing on the principles of applied visual simulation technology and the application of quantitative analyses to human-computer interaction. Includes instruction in object-oriented programming, artificial intelligence, computer communications and networks, computer graphics, virtual worlds and simulation systems, probability, statistics, stochastic modeling, data analysis, human-performance evaluation, and human-behavior modeling.

For all the 827 degrees awarded in Modeling, Virtual Environments and Simulation per year, the majority of them are Bachelors degree. Of the 26 students earning degrees at the Award of at least 2 but less than 4 academic years level in the US, 92% percent identify as men and 8% percent identify as women. Though students at schools all over the country study Modeling, Virtual Environments and Simulation, Washington has the most graduates. The average starting salary for an undergraduate degree in Modeling, Virtual Environments and Simulation is $42,300.

Popularity of Modeling, Virtual Environments and Simulation Degrees in the U.S.
This heat map represents the states that have the highest percent of Modeling, Virtual Environments and Simulation degrees compared to all other degrees awarded in that state.
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Careers

For Modeling, Virtual Environments and Simulation majors, some of the most in demand careers include Software Developers, Special Effects Artists and Animators and Data Scientists. Not only that, Modeling, Virtual Environments and Simulation graduates may find a high-paying job, such as Software Developers or Data Scientists.

Top Paying Careers

These are the highest paying careers for Modeling, Virtual Environments and Simulation majors.

Most In-Demand Careers

These are the careers in highest demand for Modeling, Virtual Environments and Simulation majors.

Student Demographics

Total Students
26
Female Students
2 (7%)
Male Students
24 (92%)
White (17, 65%)
Race/ethnicity unknown (5, 19%)
Hispanic or Latino (2, 8%)
Black or African American (1, 4%)
Two or more races (1, 4%)
Asian (0, <1%)
American Indian or Alaska Native (0, <1%)
Native Hawaiian or Other Pacific Islander (0, <1%)
U.S. Nonresident (0, <1%)

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