Neuroscience at University of St Thomas

Saint Paul, MN · Private nonprofit · Bachelor's Degree · Neurobiology and Neurosciences
26 /100
DegreeOutlook Score (Base Case)
27
Optimistic
26
Base Case
25
Pessimistic
Earnings $36,059/yr (11% vs median)
AI Risk High (48% exposed)
Job Market Large (37,400 openings/yr)
ROI 2.2x earnings multiple
Ranked #67 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 $451K $455K $436K
Earnings Multiple 2.2x 2.2x 2.1x
Probability of Field Employment 53% 48% 35%
DegreeOutlook Score 27 26 25

10-Year Earnings Projection

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

4-Year Tuition (Sticker)
$209,136
4-Year Net Price (After Aid)
$122,100
42% less than sticker · See by income
Median Debt at Graduation
$27,000
9.0 months of Year 1 earnings

About University of St Thomas

University of St Thomas has a 85% acceptance rate, making it broadly accessible, with a mid-sized student body of 6,014 in Saint Paul, MN. Financial aid reduces the effective four-year cost to $122,100 — 42% less than the list price.

See all programs and financial aid at University of St Thomas →

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 University of St Thomas's Neuroscience program score?
This program scores 26/100 — 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 →