Median Earnings (1yr)
$52,435
33rd percentile (60th in GA)
Median Debt
$29,000
13% above national median
Debt-to-Earnings
0.55
Manageable
Sample Size
194
Adequate data

Analysis

Georgia Southern's Information Science program shows exactly why in-state comparisons matter more than national rankings suggest. While it sits at just the 33rd percentile nationally, it outperforms the Georgia median by $20,000 after four years—a significant premium over most in-state alternatives. With $29,000 in debt and a debt-to-earnings ratio of 0.55, graduates face manageable loan payments from day one.

The trajectory here is particularly compelling: earnings jump 36% from year one to year four, reaching $71,263. That puts graduates roughly even with the national 75th percentile by their fourth year out, despite a slower start. Among Georgia's 11 programs, only Strayer and Kennesaw State consistently outperform Georgia Southern, and both likely come with higher sticker prices or different student demographics.

For Georgia families weighing in-state tuition costs against outcomes, this program delivers solid middle-class earnings with debt levels that won't derail other financial goals. The 90% admission rate means access isn't a barrier, and the strong earnings growth suggests the degree opens doors that widen over time. It's not the flashiest option, but it's a practical path to a stable information technology career at a reasonable cost.

Where Georgia Southern University Stands

Earnings vs. debt across all information science/studies bachelors's programs nationally

Georgia Southern UniversityOther information science/studies programs

Programs in the upper-left quadrant (high earnings, low debt) offer the best value. Programs in the lower-right quadrant warrant careful consideration.

Earnings Distribution

How Georgia Southern University graduates compare to all programs nationally

Georgia Southern University graduates earn $52k, placing them in the 33th percentile of all information science/studies bachelors programs nationally.

Earnings Over Time

How earnings evolve from 1 year to 4 years after graduation

Earnings trajectories vary significantly. Some programs show strong early returns that plateau; others start lower but accelerate. Consider where you want to be at year 4, not just year 1.

Compare to Similar Programs in Georgia

Information Science/Studies bachelors's programs at peer institutions in Georgia (11 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
Georgia Southern University$52,435$71,263$29,0000.55
Strayer University-Georgia$71,167$78,793$53,2500.75
Kennesaw State University$63,986$70,361$25,7500.40
Valdosta State University$51,888$25,5000.49
University of North Georgia$50,539$20,8150.41
Savannah State University$46,840$27,0000.58
National Median$58,651$25,7500.44

Other Information Science/Studies Programs in Georgia

Compare tuition, earnings, and debt across Georgia schools

SchoolIn-State TuitionEarnings (1yr)Debt
Strayer University-Georgia
Chamblee
$13,920$71,167$53,250
Kennesaw State University
Kennesaw
$5,786$63,986$25,750
Valdosta State University
Valdosta
$6,007$51,888$25,500
University of North Georgia
Dahlonega
$5,009$50,539$20,815
Savannah State University
Savannah
$5,498$46,840$27,000

About This Data

Source: U.S. Department of Education College Scorecard (October 2025 release)

Population: Graduates who received federal financial aid (Title IV grants or loans). At Georgia Southern University, approximately 35% of students receive Pell grants. Students who did not receive federal aid are not included in these figures.

Earnings: Median earnings from IRS W-2 data for graduates who are employed and not enrolled in further education, measured 1 year after completion. Earnings are pre-tax and include wages, salaries, and self-employment income.

Debt: Median cumulative federal loan debt at graduation. Does not include private loans or Parent PLUS loans borrowed on behalf of students.

Sample Size: Based on 194 graduates with reported earnings and 179 graduates with debt data. Small samples may not be representative.