Neuroscience at The University of Texas at Austin

Austin, TX · Public · Bachelor's Degree · Neurobiology and Neurosciences
31 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
32
Optimistic
31
Base Case
30
Pessimistic
Earnings $34,820/yr (7% vs median)
AI Risk High (48% exposed)
Job Market Large (37,400 openings/yr)
ROI 9.6x earnings multiple (2.6x out-of-state)
Ranked #49 of 97 Neurobiology and Neurosciences programs

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Neuroscience graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $443K $448K $431K
Earnings Multiple (In-State) 9.5x 9.6x 9.2x
Earnings Multiple (Out-of-State) 2.6x 2.6x 2.5x
Probability of Field Employment 53% 48% 35%
DegreeOutlook Score 32 31 30

10-Year Earnings Projection

*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.

4-Year Tuition, In-State (Sticker)
$46,712
Out-of-state: $171,112 (2.6x ROI)
4-Year Net Price (After Aid)
$78,712
-69% less than sticker · See by income
Median Debt at Graduation
$23,250
8.0 months of Year 1 earnings

About The University of Texas at Austin

The University of Texas at Austin accepts 29% of applicants — selective, though not ultra-competitive, one of the larger campuses at 42,100 students in Austin, TX.

See all programs and financial aid at The University of Texas at Austin →

Top Career Paths

Natural sciences managers $161,180/yr
Medical scientists, except epidemiologists $100,590/yr
Biological scientists, all other $93,330/yr
View all 5 career paths with salary ranges and AI risk →

Compare & Explore

Neuroscience at Other Schools

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Frequently Asked Questions

How does The University of Texas at Austin's Neuroscience program score?
This program scores 31/100 — on the lower end for Neuroscience. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Neuroscience to AI automation?
AI won't 'replace' Neuroscience careers outright, but it is likely to reduce the number of job openings. We model 48% task exposure, which compresses field employment probability in our scenarios.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →