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data science in Vermont

data science Schools in Vermont

Jobs for data science Grads in Vermont

1,570 people in the state and 2,919,300 in the nation are employed in jobs related to Data Science.

data science Jobs Nationwide vs. VT

Wages for data science Jobs in Vermont

In this state, Data Science grads earn an average of $137,636. Nationwide, they make an average of $150,709.

data science Wages Nationwide vs. VT

Our data covers 2 colleges in Vermont offering Data Science degrees. Learn about the most popular 2 below:

#1

University of Vermont

Burlington

Grads earn a median early-career salary of $40,117 after earning their degree at this institution. With an admission rate of 60%, getting in takes some planning. The full-time student retention rate is 88%.

#2

Champlain College

Burlington

One year after graduating, alumni of this school earn a median of $49,559 a year. With an admission rate of 67%, getting in takes some planning. 77% of full-time students return after their first year.

data science Careers in VT

Some of the careers Data Science majors go into include:

Job Title Nationwide Job Growth Nationwide Median Salary
Software Developers 14% $76,447
Clinical Research Coordinators 10% $110,931
Computer and Information Systems Managers 10% $175,079
Natural Sciences Managers 9% $132,227
Computer and Information Research Scientists 8% $61,002
Data Scientists 8% $106,295
Biostatisticians 7% $121,594
Statisticians 7% $130,349
Database Architects 4% $148,480
Data Warehousing Specialists 4% $117,424
Business Intelligence Analysts 1% $143,840
Postsecondary Teachers, All Other 0% $68,967

Below are some popular majors that are similar to Data Science.

Major Annual Graduates Nationwide
Other Interdisciplinary Studies 30,141
Biological & Physical Science 28,033
Data Analytics 12,891
Interdisciplinary Studies 10,355
International Studies 5,740
Nutrition Science 5,456
Behavioral Science 5,391
Sustainability Science 4,374

View all majors related to data science

View Nationwide data science Report

References

More about our data sources and methodologies.

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