Computational Science is a concentration offered under the computational science major at Central Connecticut State University. We’ve pulled together some essential information you should know about the master’s degree program in scientific computing, including how many students graduate each year, the ethnic diversity of these students, whether or not the degree is offered online, and more.
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During the 2019-2020 academic year, part-time graduate students at CCSU paid an average of $728 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $714 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $7,674 | $19,768 |
Fees | $5,174 | $6,304 |
If you’re one of the many students who want the flexibility of distance learning courses, you’ll be happy to hear that CCSU offers online option in its scientific computing master’s degree program. To see if the school offers distance learning options in other areas, visit the CCSU Online Learning page.
About 22.2% of the students who received their Master’s in scientific computing in 2019-2020 were women. This is less than the nationwide number of 32.7%.
Racial-ethnic minority graduates* made up 44.4% of the scientific computing master’s degrees at CCSU in 2019-2020. This is higher than the nationwide number of 18%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 1 |
Hispanic or Latino | 2 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 5 |
International Students | 0 |
Other Races/Ethnicities | 0 |
*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.
More about our data sources and methodologies.