Computational Science at Valparaiso University
If you are interested in studying computational science, you may want to check out the program at Valparaiso University. The following information will help you decide if it is a good fit for you.Valpo is located in Valparaiso, Indiana and has a total student population of 3,122.
Want to know more about the career opportunities in this field? Check out the Careers in Computational Science section at the bottom of this page.
Valpo Computational Science Degrees Available
- Master’s Degree in Scientific Computing
Valpo Computational Science Rankings
Scientific Computing Student Demographics at Valpo
Take a look at the following statistics related to the make-up of the scientific computing majors at Valparaiso University.
Valpo Computational Science Master’s Program
The following table and chart show the race/ethnicity for students who recently graduated from Valparaiso University with a master's in scientific computing.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 0 |
Hispanic or Latino | 0 |
White | 3 |
International Students | 6 |
Other Races/Ethnicities | 0 |
Careers That Scientific Computing Grads May Go Into
A degree in scientific computing can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for IN, the home state for Valparaiso University.
Occupation | Jobs in IN | Average Salary in IN |
---|---|---|
Computer Workers | 2,610 | $79,310 |
Natural Sciences Managers | 1,720 | $65,270 |
References
*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.
- College Factual
- National Center for Education Statistics
- O*NET Online
- Image Credit: By Runner1928 under License
More about our data sources and methodologies.