Intelligence Brief Humanities Sector

Linguistics

Bachelor's · 4 years

D+

Scorecard

$60,000
Median salary: 5%
Projected growth: 45/100
Difficulty: 5
Career paths

AI Resilience 55

Overall Score 44

CollegeRanker Degree Outlook Score™

out of 100 · C+

Solid Outlook

Earnings 30

Growth 18

Demand Gap 48

AI Resilience 55

Career Breadth 70

Remote Flexibility 65

Composite of earnings, projected growth, demand gap, AI resilience, career breadth, and remote flexibility — CollegeRanker's proprietary degree outlook model.

Supply vs Demand

Balanced

Market Demand48

Graduate Supply52

Supply and demand roughly aligned — projected 5% occupational growth (as fast as average).

Salary Trajectory

~1.8%/yr

$55K 21

$56K 22

$57K 23

$58K 24

$59K 25

$60K 26

$61K 27

$62K 28

Modeled from BLS median wage and occupational growth. Dashed bars are forecast. Illustrative, not a guarantee.

Where Graduates Work

Common Employers

Universities
Publishers
Museums
Media Companies
Nonprofits

Representative employers that commonly hire Humanities graduates — illustrative of where graduates concentrate, not a guarantee.

Industry Mix

Education 30%
Media & Publishing 22%
Nonprofits 18%
Government 14%
Other 16%

Estimated distribution of Humanities graduates across hiring industries.

Executive Summary

Linguistics scores 44/100 (D+), reflecting a challenging profile among bachelor's programs.
Median salary of $60,000 reflects moderate earning potential.
Projected growth of 5% is below the national average.
AI resilience score of 55 indicates moderate disruption risk across associated careers.

Linguistics scores 44/100 — D+. The strongest dimension is remote potential (65/100), followed by salary (30/100). The biggest challenge: growth (18/100).

Research Insights

At Risk Future-proof

Linguistics faces headwinds for long-term value (42/100). Projected growth of 5% is below average. Graduates should develop skills that complement, not compete with, AI-driven workflows.

Score 42 /100
Limited ROI

Linguistics offers a challenging ROI profile (40/100). Median earnings of $60,000 are below many peers.

Score 40 /100
Narrow Career Breadth

Linguistics leads to a focused set of career paths (43/100). With 5 primary career trajectories, graduates benefit from clear direction but have less flexibility to pivot.

Score 43 /100

Decision Intelligence

Evaluate Closely Overall Recommendation

Linguistics presents a more complex risk/reward profile. Outcomes are less predictable and depend heavily on specific career targeting and graduate school plans.

Who Benefits Most

Students who value career stability and meet the academic prerequisites. Students who pair this degree with internships and networking outperform peers. The moderate AI risk makes it important to specialize.

Who Should Think Twice

Individuals who dislike academic research, prefer clear career paths, or lack interest in technology might find this degree unfulfilling. Additionally, those expecting a high salary with minimal effort may be disappointed.

Student Archetypes

The Tech Enthusiast Recommended

This student is passionate about technology and its intersection with language, often seeking roles in NLP or data analysis. They are likely to pursue additional training in programming.

Economic Importance

Linguistics plays a crucial role in various industries, including technology, education, and healthcare. As businesses increasingly rely on natural language processing and translation services, the market values professionals who can bridge communication gaps and enhance user experiences.

Scorecard Analysis

Our proprietary scorecard evaluates degrees across five dimensions from BLS wage and growth data, O*NET work context, and standard education requirements.

Salary 30/100

Below-average earning

Job Growth 18/100

Below-average growth

Education Barrier 60/100

Moderate barrier

Remote / Online Compatibility 65/100

Moderate remote compatibility

Competition 50/100

Less competitive

Difficulty Score

45/100

Composite reflecting the combined demands of salary, growth, barrier, remote compatibility, and competition.

AI Resilience Assessment

Automation risk for careers linked to this degree.

AI Resilience 55/100

Adaptable

Linguistics faces moderate AI disruption risk (55/100). While AI will automate routine components within many associated careers, core responsibilities still require human oversight and strategic thinking. Upskilling in AI collaboration tools is recommended.

Domain expertise from this degree provides some protection against full automation.
AI can handle routine reporting, data aggregation, and first-pass analysis in many associated careers.
Risk factor: entry-level roles in fields linked to this degree may face headcount reduction as AI handles more data processing.

Intelligence Deep Dive

Reality Check

The job market for linguistics graduates is competitive, and many entry-level roles may not require a degree. Additionally, while some students find rewarding careers, others may struggle to leverage their education into stable employment without further qualifications.
Hiring Market Signal

Currently, the market for linguistics graduates is steady, with demand particularly strong in technology sectors focused on AI and language processing. Job seekers should highlight technical skills and relevant experience to improve their hiring prospects.
Risk Factors
- High competition for specialized roles
- Potential over-saturation in language teaching markets
- Geographic limitations for job opportunities
- Debt load from education
- Automation threatening certain language-related jobs
ROI Timeline

Typically, it may take 5-7 years to recoup the investment in this degree, factoring in starting salaries and potential debt. Graduates entering high-demand fields can see a faster return, while those in lower-paying roles may face a longer timeline.

What You'll Study

The curriculum's focus on diverse linguistic fields such as phonetics, sociolinguistics, and computational linguistics equips students with a comprehensive understanding of language and its applications, preparing them for roles in both technology and education.

Throughout your studies, you will engage in a mix of theoretical and practical coursework, often involving research projects that require data analysis and language processing. Classes will challenge you with complex linguistic theories and may involve hands-on experiences, such as internships in language technology or teaching environments.

The program typically includes collaborative projects where you might develop applications using natural language processing (NLP). Assignments may also involve fieldwork or observational studies that provide insight into real-world language use, offering a comprehensive view of linguistics in action.

Typical Curriculum

Phonetics
Syntax
Semantics
Sociolinguistics
Computational Linguistics
Psycholinguistics
Field Methods
Research

Career Pipeline

From entry to executive.

Entry-Level

ESL Teacher
Translator
Research Assistant
Language Data Analyst
Speech Language Pathology Assistant

Mid-Career

Computational Linguist
NLP Engineer
Language Specialist
Speech Therapist

Advanced

Director of Linguistic Services
Chief Linguist
Senior NLP Engineer
Language Technology Consultant

Pipeline Insight

Graduates typically begin their careers in teaching or support roles and can advance to specialized positions in tech or therapy. Those who continue their education or gain technical skills often see faster career progression.

Career Outcomes

Graduates with a degree in Linguistics can pursue various career paths, such as becoming computational linguists, NLP engineers, ESL teachers, translators, or speech therapists (with further education). The projected job growth in related fields is around 5%, driven by increasing demand for language technology and communication specialists across industries. As technology advances, the need for skilled professionals who can bridge the gap between human language and machine interpretation continues to rise.

Computational Linguist
NLP Engineer
ESL Teacher
Translator
Speech Therapist (with MS)

Compensation Context

The median salary of $60,000 reflects the degree's balance of demand and supply. While some roles, especially in tech, can offer higher compensation, many linguistics-related positions have modest pay, influenced by factors such as geographic demand and the level of education required.

Alternative Routes

Similar or competing pathways students consider alongside Linguistics:

Cognitive Science
Foreign Language Studies
Communication Studies
Data Science bootcamps
Self-taught programming for NLP applications

Getting In & Timeline

Typical time to complete: 4 years full-time

High school diploma or equivalent
Strong background in English and social sciences
Standardized test scores (e.g., SAT or ACT) may be required

Advice

To succeed, develop strong analytical skills and seek internships that align with your career interests early in your studies.

Is This Degree Worth It?

This degree can pay off for those who pursue specialized roles in high-demand areas like NLP or computational linguistics, especially if they acquire additional skills or credentials. However, it may not be worthwhile for those solely seeking teaching positions without further education, given the competitive job market.

Schools With Strong Outcomes in Humanities

Ranked by median graduate earnings 10 years after enrollment. Schools grouped into tiers by outcome level.

Top Tier2schools

Strong Outcomes2schools

Solid Options2schools

Methodology & Data Sources

Every score, grade, and verdict on this page is built from a consistent framework designed to answer one question: what is the expected return on this degree?

Scorecard dimensions. We evaluate programs on five proprietary axes — Salary, Job Growth, Education Barrier, Remote/Online Compatibility, and Competition — each normalized to a 0–100 scale. The Overall Score is a weighted composite: salary (30%), job growth (20%), AI resilience (15%), barrier proximity (15%), competition inverse (10%), and career breadth (10%). Letter grades follow a standard scale from A+ (95+) down to F.

AI Resilience. Measures automation risk across the degree's associated career pathways. Each degree receives a category-level baseline adjusted upward for AI-adjacent fields (e.g., machine learning, computer science) and downward for fields with higher routine-task exposure. The score represents the degree's resistance to labor-market disruption, not a prediction of elimination.

Verdict scores. Future-Proof, ROI, and Career Breadth are secondary composites weighting AI resilience, growth, salary, barrier, and career count to answer specific decision questions: is this career durable (Future-Proof), financially worthwhile (ROI), and flexible (Career Breadth)?

Data sources. Salary and growth figures are drawn from the Bureau of Labor Statistics Occupational Employment and Wage Statistics (O*NET) and the Occupational Outlook Handbook (2023–2033 projections). Education requirement data and work context scores come from O*NET 28.2. School-level earnings data is sourced from the Opportunity Insights Economic Tracker (median earnings 10 years after enrollment, based on federal tax records). Program rankings and school lists reflect CollegeRanker's proprietary classification and filtering methodology.

This page is built on disclosed, reproducible data. No affiliate bias, no survey-based rankings, no undisclosed weighting.

Data Behind This Page Updated 2025

2025 Last updated

100% Public / federal sources

Source datasets

Methodology

Degrees are scored on five normalized axes — salary (30%), job growth (20%), AI resilience (15%), education barrier (15%), and competition (10%), plus career breadth (10%) — each on a 0–100 scale.

See the full methodology and weights →

Confidence notes

Salary and growth figures come from federal Bureau of Labor Statistics data — administrative wage records and official projections, not surveys.
AI-resilience scores are computed from O*NET task and work-context data, applied consistently across every program.
Every measure is normalized to a fixed 0–100 scale, so degrees are directly comparable.

Limitations

BLS wage data reflect national medians; actual pay varies widely by region, employer, and experience.
Job growth is a 2023–2033 projection, not a guarantee — labor markets shift with technology and the economy.
AI-resilience is a directional estimate of automation exposure, not a prediction about any specific role.
Figures describe typical outcomes for the field, not a promise for any individual graduate.