What Can You Do With a Computer Science Degree?
A computer science degree produces some of the strongest graduate employment outcomes of any undergraduate subject. The Bureau of Labor Statistics Occupational Outlook Handbook puts the median wage across all computer and IT occupations at $105,990 as of May 2024, more than double the median for all US occupations. But median figures mask wide variation, and a realistic picture of computer science career paths requires more than a single salary number. This post covers the concrete roles, the salary data by specialization, the skills employers actually test for, and the honest answer to whether the degree itself is still the gateway it once was.
What Jobs Can You Get With a Computer Science Degree?
A computer science degree feeds four broad career clusters: software development, data and machine learning, cybersecurity, and IT management. Each cluster contains multiple specializations with distinct hiring markets, salary floors, and degree requirements. The clusters share technical foundations but diverge sharply in day-to-day work and required depth.
Software Development and Engineering
Software development remains the largest single destination for computer science graduates. Roles range from front-end web developer to backend systems engineer to mobile developer to DevOps engineer, each with its own tooling culture and hiring process. The common thread is producing working code at scale.
Large technology companies run structured university hiring programs with competitive internship pipelines, behavioral interviews, and algorithm-focused technical assessments. Smaller companies and startups weight portfolio projects and take-home assignments more heavily. Both paths are accessible with a CS degree; the difference is in what they test during hiring.
| Role | US Median Salary (May 2024) | Projected Growth 2024-2034 |
|---|---|---|
| Software Developer / Engineer | $133,080 | 15% (much faster than average) |
| Data Scientist | $112,590 | 34% (much faster than average) |
| Information Security Analyst | $124,910 | 29% (much faster than average) |
| Computer Systems Analyst | $103,790 | 11% (faster than average) |
| Computer & Info Research Scientist | $140,910 | 23% (much faster than average) |
| Computer & Info Systems Manager | $171,200 | 17% (much faster than average) |
| Computer Programmer | $98,670 | -10% (declining) |
US Bureau of Labor Statistics, Occupational Outlook Handbook, May 2024 data. Computer programmer decline reflects automation of routine coding tasks; software engineering and adjacent roles continue growing.
The BLS draws a distinction worth noting. “Computer programmer” as a job category projects a 10 percent decline through 2034 as routine coding tasks automate. “Software developer,” covering the design and architecture of systems, projects 15 percent growth. The distinction signals where the degree adds durable value: systems thinking and algorithm design, not repetitive coding alone.
Data Science and Machine Learning
Data scientist roles grew explosively through the 2010s and the growth trajectory continues. The BLS projects a 34 percent increase in data scientist employment from 2024 to 2034, with roughly 23,400 openings per year on average. These roles require strong mathematical foundations, statistical reasoning, and programming fluency, which a computer science degree supplies directly.
Machine learning engineer and AI researcher roles sit adjacent to data science but demand deeper knowledge of optimization, linear algebra, and neural architecture. Research-facing machine learning positions at technology companies increasingly prefer candidates with a master's degree or PhD. Applied ML engineering roles in industry remain more accessible to strong bachelor's graduates with demonstrable project work.
Cybersecurity and Information Security
Information security analysts represent one of the highest-growth occupations in the entire economy. The BLS projects 29 percent employment growth from 2024 to 2034 against a backdrop of persistent organizational demand for data protection, compliance, and threat response. The median salary of $124,910 in May 2024 reflects both the specialized knowledge required and the tight supply of qualified candidates.
Cybersecurity splits into offensive roles (penetration testing, red team operations), defensive roles (security operations, incident response), and governance roles (compliance, risk management, policy). A computer science degree gives foundational strength in systems, networking, and cryptography that maps directly to all three branches.
IT Management and Systems Architecture
Computer and information systems managers represent the senior end of the technical career ladder. With a median of $171,200 in May 2024, this is the highest-paid category across all computer and IT occupations tracked by the BLS. These roles typically require five to ten years of technical experience before the management transition, meaning the degree is a starting point, not a direct route in.
Enterprise architecture, cloud solutions architecture, and technical program management sit between pure engineering and full management. These roles combine deep system design knowledge with the ability to communicate across technical and non-technical stakeholders, a combination a CS degree supports but does not guarantee.
What Salary Can You Expect With a Computer Science Degree?
Graduate salary figures vary sharply by country, employer size, specialization, and years of experience. The most reliable data comes from official statistics bodies rather than salary aggregator sites, which skew toward self-reported, opt-in samples.
US Salary Data From the Bureau of Labor Statistics
The BLS Occupational Outlook Handbook draws on the Occupational Employment and Wage Statistics survey, which collects payroll data from a nationally representative sample of employers. The overall median for all computer and IT occupations was $105,990 in May 2024, compared with $49,500 for all US occupations. That gap of $56,490 persists across geographic regions and employer types, though large technology markets like San Francisco, Seattle, and New York push individual occupation medians substantially higher.
Entry-level positions typically land in the $70,000 to $95,000 range for software roles in the US, rising with experience and specialization. The BLS “lowest 10 percent” figure of $79,850 for software developers reflects early-career salaries and smaller-market employers, not a floor graduates should expect at any large technology company, where entry offers commonly exceed $100,000 for total compensation.
UK Graduate Outcomes Data
The HESA Graduate Outcomes 2022/23 survey, covering 917,610 graduates surveyed between December 2023 and November 2024, found that computing graduates entering high-skilled full-time employment showed the largest salary spread of any subject area. The gap between median high-skilled and low-skilled employment salaries for computing graduates reached £15,924, suggesting that the role quality secured after graduation determines outcomes more than the degree itself.
The overall median salary for all UK graduates in full-time employment 15 months after graduation was £28,500 in the same dataset. Computing and technology roles sit above that median, but precise subject-level figures vary by institution. Graduates from research-intensive universities entering roles at large technology employers consistently report higher starting salaries than the national median.
A computer science graduate at a major technology company in San Francisco can earn $150,000 total compensation in their first year. A computer science graduate in a tech support role at a regional company can earn $45,000. Both appear in the same national statistics. Before treating any median as a personal forecast, check the specific role category, employer size, and location, because the distribution is wide in both directions.
What Skills Do Employers Actually Value?
Technology employers screen for a specific combination of skills that a computer science degree develops but does not guarantee. Understanding what gets tested in hiring helps you build the right profile during your degree rather than after it.
Technical Depth Versus Breadth
Software engineering interviews at major technology companies assess data structures and algorithms knowledge through timed problem-solving, regardless of what language the candidate uses. This pattern, developed by Google and adopted widely, reflects a belief that deep algorithmic thinking predicts engineering quality better than fluency in any specific technology stack.
Data science roles weight statistical reasoning and the ability to frame business questions as modeling problems alongside Python or R proficiency. Cybersecurity roles test threat modeling, network architecture understanding, and sometimes hands-on tool proficiency. The common thread is depth in a specific area over a general working knowledge of many tools.
Communication and Collaboration
Software engineering roles at scale involve explaining technical decisions to non-technical stakeholders, writing design documents, and collaborating with product managers, designers, and other engineers. Employers in technology consistently list communication as a differentiating factor at the senior level, where a lack of it blocks career progression regardless of technical ability.
The skills gap here is not unique to computer science graduates. Engineering programs of all kinds traditionally under-invest in communication and writing. Graduates who build this alongside their technical skills during their degree move faster after graduation. Working on open-source projects, contributing to documentation, and taking part in technical internships all build this layer.
Does the Degree Matter, or Just the Skills?
The honest answer is that it depends on the role and the employer. Some hiring pipelines filter on degree as a proxy for foundational knowledge and the ability to complete a structured program. Others have moved to skills-based hiring where demonstrated ability overrides credentials. Knowing which market you are targeting changes how you should spend your time.
Roles Where the Degree Still Matters
Government technology positions and defense contractors in many countries require verified academic credentials as part of security clearance processes. Large technology companies running structured university recruitment programs screen by degree as a first filter, making the degree a prerequisite for the pipeline itself even before skills assessment begins.
Academic and industrial research positions, including machine learning research roles at technology companies, standardly require a postgraduate degree. Computer and information research scientists, the occupation with a median of $140,910 in the BLS data, typically hold PhDs. A bachelor's degree is a prerequisite for admission to doctoral programs, not a destination on its own for research-facing roles.
Roles Where a Portfolio Can Replace the Degree
Front-end and web development, mobile development, some back-end engineering roles at smaller companies, and many independent or freelance software positions now screen primarily on demonstrated output. A strong GitHub portfolio, completed projects with documented decisions, and performance on a technical take-home assignment often outperform degree credentials for these roles.
This does not mean the degree provides no advantage. CS graduates typically arrive with stronger algorithmic foundations than self-taught developers, which matters when tackling performance bottlenecks or architectural decisions at scale. The degree advantage compounds over time even in portfolio-driven markets.
Degree still required
- •Government and defense tech with security clearance requirements
- •Academic and industrial research (typically requires postgraduate degree)
- •Large company structured university hiring pipelines
- •Senior management tracks at regulated industries (finance, healthcare IT)
- •Roles requiring professional licensure tied to academic credentials
Portfolio can compete
- •Front-end, web, and mobile development at most companies
- •Startup software engineering where output outweighs credentials
- •Freelance and contract software development
- •Open-source maintainer roles leading to employment
- •Certain data engineering roles with demonstrated project work
Non-Tech Careers With a Computer Science Degree
Computer science careers do not confine graduates to writing code. The analytical reasoning, systems thinking, and quantitative skills the degree develops transfer into sectors that value technical literacy without requiring full-time software work. Other technical degrees show the same pattern: economics graduates routinely enter consulting and finance through the same analytical-skills route.
Management consulting firms recruit computer science graduates heavily. The ability to decompose a complex problem, model its components, and communicate findings clearly matches the core consulting skillset. Technology consulting, specifically advising organizations on software architecture or digital transformation, draws directly on both the technical and communication skills a CS degree builds.
Product management in technology companies represents a major destination for CS graduates who prefer strategy and coordination over writing code. A technical background helps product managers reason about engineering trade-offs, challenge scope estimates, and maintain credibility with engineering teams. Many product managers at large technology companies hold CS degrees.
Quantitative finance and algorithmic trading attract CS graduates to roles where programming combines with financial modeling. Major investment banks and hedge funds run dedicated technology divisions and quantitative research groups that recruit from computer science programs specifically. The combination of numerical fluency and programming depth is unusual enough that these roles command salaries comparable to senior software engineering.
Is a Computer Science Degree Worth It?
Reviewing the BLS employment projections alongside the HESA Graduate Outcomes data, the return on a computer science degree holds up better than most other undergraduate subjects by both employment rate and salary. The median wage premium over all US occupations exceeds $56,000 per year. The projected growth rate across CS occupations runs at two to three times the economy-wide average. Those are durable numbers, not a temporary technology boom.
The degree pays off most reliably when you graduate into a relevant role in a reasonable timeframe. The risk of degree underperformance comes from graduating into a role that does not use the technical skills at all, not from the degree itself failing to generate opportunities. You can find the full picture of university tools available to build and track your academic progress at the University Resources hub, and browse all career and pathway analysis posts at the university blog.
The honest caveat is that institutional context matters. A computer science degree from a research-intensive university with strong industry recruitment partnerships produces better average outcomes than the same credential from an institution with weak industry ties or poor graduate employment tracking. Where you study shapes the distribution of outcomes even when the degree content is similar.
Before committing to a program, check the institution's graduate outcomes data directly. In the UK, HESA publishes subject-level graduate destination and salary data by institution. In the US, the College Scorecard publishes median earnings by institution and field of study. These sources ground the decision in actual outcome data rather than marketing claims.
If you are currently working through your computer science program and want to strengthen your understanding of the technical foundations employers test, the active recall study technique is the fastest way to build durable retention of algorithms, data structures, and theory. Pairing that with spaced repetition for technical vocabulary and concepts compounds the gain across a full semester.
The grade calculators help you track whether your current standing puts you on track for the classification or GPA threshold that your target employers care about. Many large technology company graduate schemes specify a minimum GPA or degree classification in their eligibility requirements.
Key Takeaways
- The median wage across all US computer and information technology occupations reached $105,990 in May 2024 (BLS), compared with $49,500 for all US occupations. The premium is durable and spans multiple career clusters.
- Software developers earned a median of $133,080, data scientists $112,590, and information security analysts $124,910 as of May 2024. IT management roles topped $171,200. All are projected to grow faster than average through 2034.
- Data science roles project 34 percent employment growth from 2024 to 2034 and information security 29 percent, driven by persistent organizational demand for AI capabilities and data protection.
- The degree matters most for research positions, large employer university pipelines, and government roles requiring security clearances. Portfolio-driven hiring reduces degree requirements for many web, mobile, and software engineering roles.
- Non-tech destinations including management consulting, product management, and quantitative finance all draw on the analytical foundations of a CS degree and can match or exceed software engineering salaries at senior levels.
- Salary variation by role, employer size, location, and country is large. Check official sources such as the BLS Occupational Outlook Handbook and HESA Graduate Outcomes for subject-level and institution-level data rather than self-reported salary aggregator sites.
- Where you study shapes your outcomes. Graduate employment rates and starting salaries vary significantly by institution, not just by degree subject, so check institution-level outcome data before selecting a program.
