Home › Compare majors › Computer Science vs Data Science
Computer Science vs Data Science: pay, job growth and AI risk
Which is the better bet over the next 20 years? Here's what official data says about the jobs each major usually leads to.
Computer Science careers pay more at the median ($127,600 vs $104,200 a year). Computer Science has faster projected job growth through 2035 (+12.6% vs +11.5%). Computer Science jobs have less AI task exposure (63% vs 67% of tasks).
Scorecard
“Edge” marks the stronger number on each line (for AI, lower exposure). No edge when the gap is small (median pay within 1%, AI within 3 points, growth within 1 point). Computer Science: 4 · Data Science: 1. This is a tally, not a verdict: weigh what matters to you.
What each major studies
Computer Science covers how software and computing work: programming, data structures, theory of computation and computer systems. Data Science covers getting answers out of data: statistics, programming, machine learning and data visualization.
Is Computer Science or Data Science more at risk from AI?
Using the “GPTs are GPTs” task ratings, 63% of the tasks in typical Computer Science careers could be done at least twice as fast with current AI tools, versus 67% for Data Science (all U.S. jobs: 33%). Higher exposure means more of the work can be sped up by AI. That can mean fewer people doing the same work, or the same people doing more. It is not a count of jobs lost.
By career
Computer Science: tasks AI can speed up
- analyze data to identify or resolve operational problems (Software Developers & QA)
- implement security measures for computer or information systems (Information Security Analysts)
- apply information technology to solve business (Computer & Info Research Scientists)
Tasks that stay human
- test software performance (Software Developers & QA)
- maintain permanent fleet cryptologic and carry-on direct support systems… (Information Security Analysts)
- collaborate with others to resolve information technology issues (Computer & Info Research Scientists)
Data Science: tasks AI can speed up
- evaluate data quality (Data Scientists)
- analyze data to identify or resolve operational problems (Software Developers & QA)
- evaluate project designs to determine adequacy or feasibility (Mathematicians & Statisticians)
Tasks that stay human
- monitor operational activities to ensure compliance with regulations or… (Data Scientists)
- test software performance (Software Developers & QA)
- advise customers on technical or procedural issues (Mathematicians & Statisticians)
What BLS says about AI in these jobs
- Software Developers & QA: “Occupational substitution, capital/labor substitution - share decreases as some tasks move to software developers as companies increasingly integrate their testing into their software development processes, and as some testing tasks are automated by artificial intelligence (AI).”
- Information Security Analysts: “Demand change, productivity change - share increases as firms increase their IT security staffs and capabilities as a response to increasing threats of cyberattacks aimed at sensitive or financial data, offset slightly by efficiencies gained through increased use of automated and artificial intelligence (AI) technologies to improve security measures.”
- Computer & Info Research Scientists: “Demand change - share increases as demand for solutions to complex computing challenges and for developing new technologies, including artificial intelligence (AI), will support an increased demand for computer and information research scientists.”
- Web Developers & Digital Designers: “Occupational substitution, capital/labor substitution - share decreases as low- and no-code tools, along with artificial intelligence (AI), increasingly automate web development and increasingly allow other workers to complete web development tasks.”
- Software Developers & QA: “Occupational substitution, capital/labor substitution - share decreases as some tasks move to software developers as companies increasingly integrate their testing into their software development processes, and as some testing tasks are automated by artificial intelligence (AI).”
Computer Science vs Data Science job outlook: the next 10 and 20 years
Index: 2025 jobs = 100. Lines = BLS projection to 2035. Shaded = our 2035–2045 extrapolation range.
BLS projects employment in the Computer Science careers we track to change +12.6% from 2025 to 2035 (about 171,000 openings a year), and +11.5% for Data Science (about 180,400 a year). All U.S. jobs: +3.5%. No official source projects 20 years out. Our 2035–2045 range only shows what happens if the current trend continues or stalls.
How the shaded range works: the top edge assumes each field's 2025–35 yearly growth rate continues to 2045; the bottom edge assumes no change after 2035 (flipped for shrinking fields). It is an extrapolation from BLS data, not a BLS projection.
Computer Science vs Data Science salary: which pays more?
Line = 10th to 90th percentile · box = middle half · dot = median (BLS OEWS, May 2024)
At the median, Computer Science careers pay $127,600 and Data Science careers pay $104,200 a year (BLS OEWS, May 2024). The middle half of Computer Science workers earn $97,100 to $162,000; for Data Science it is $80,100 to $135,200. Pay tends to rise with experience, so new graduates often start nearer the lower end.
This shows how pay is spread across everyone working in these jobs today, from newer workers (lower end) to experienced ones (upper end). It is not a year-by-year salary path.
Careers behind the numbers
| Career | Median pay | Jobs 2025–35 | AI task exposure |
|---|---|---|---|
| Software Developers & QA | $133,080 | +9.7% | 67% |
| Information Security Analysts | $124,910 | +21.0% | 60% |
| Computer & Info Research Scientists | $140,910 | +21.8% | 57% |
| Data Scientists | $112,590 | +34.6% | 64% |
| Computer Network Architects | $130,390 | +7.7% | 59% |
| Web Developers & Digital Designers | $98,090 | +5.1% | 73% |
| Career | Median pay | Jobs 2025–35 | AI task exposure |
|---|---|---|---|
| Data Scientists | $112,590 | +34.6% | 64% |
| Software Developers & QA | $133,080 | +9.7% | 67% |
| Mathematicians & Statisticians | $103,300 | +10.1% | 73% |
| Operations Research Analysts | $91,290 | +11.9% | 63% |
| Database Administrators & Architects | $104,620 | +4.4% | 77% |
| Computer Systems Analysts | $103,790 | +7.9% | 59% |
Which is better, Computer Science or Data Science?
Neither is better for everyone. Computer Science careers pay more at the median ($127,600 vs $104,200 a year). Computer Science has faster projected job growth through 2035 (+12.6% vs +11.5%). Computer Science jobs have less AI task exposure (63% vs 67% of tasks). The better pick is the one whose day-to-day work you would actually like doing.
Still torn between Computer Science and Data Science? See which one fits you.
Pay and AI exposure tell you about the jobs. They don't tell you whether you'd enjoy the work. MajorMatch's proprietary scoring matches your interests and strengths to 100 majors. It takes 10 to 20 minutes, and your top 3 matches are free. The full report is optional ($29).
FAQ
Computer Science vs Data Science salary: which pays more?
At the median, Computer Science careers pay $127,600 and Data Science careers pay $104,200 a year (BLS OEWS, May 2024). The middle half of Computer Science workers earn $97,100 to $162,000; for Data Science it is $80,100 to $135,200. Pay tends to rise with experience, so new graduates often start nearer the lower end.
Is Computer Science or Data Science more at risk from AI?
Using the “GPTs are GPTs” task ratings, 63% of the tasks in typical Computer Science careers could be done at least twice as fast with current AI tools, versus 67% for Data Science (all U.S. jobs: 33%). Higher exposure means more of the work can be sped up by AI. That can mean fewer people doing the same work, or the same people doing more. It is not a count of jobs lost.
Computer Science vs Data Science job outlook: the next 10 and 20 years
BLS projects employment in the Computer Science careers we track to change +12.6% from 2025 to 2035 (about 171,000 openings a year), and +11.5% for Data Science (about 180,400 a year). All U.S. jobs: +3.5%. No official source projects 20 years out. Our 2035–2045 range only shows what happens if the current trend continues or stalls.
Which is better, Computer Science or Data Science?
Neither is better for everyone. Computer Science careers pay more at the median ($127,600 vs $104,200 a year). Computer Science has faster projected job growth through 2035 (+12.6% vs +11.5%). Computer Science jobs have less AI task exposure (63% vs 67% of tasks). The better pick is the one whose day-to-day work you would actually like doing.
How do I know if Computer Science or Data Science fits me?
Take the MajorMatch assessment. It takes 10 to 20 minutes, uses proprietary scoring across 100 majors, and shows your top 3 matches free.
Keep exploring
- Is a Computer Science degree worth the loan? (calculator)
- What Can You Do With a Computer Science Degree? Top 15 Careers
- Is a Data Science degree worth the loan? (calculator)
- What Can You Do With a Data Science Degree? 10 High-Demand Careers
- Is a Data Science Major Worth It? ROI, Salaries & Careers (2026)
- Computer Science vs Software Engineering
- AI-proof college majors
- Earnings Continuum: all 100 majors
More comparisons
Sources and method
- Pay: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (OEWS), May 2024 national estimates (annual wage percentiles). For each listed career, the OEWS percentiles of its largest-employment SOC code; the major figure is the median of its careers at each percentile (equal weight), rounded to $100. Where BLS reports a wage only as “$239,200 or more” (marked ≥), we use $239,200, so the real figure is higher.
- Job growth: BLS Employment Projections 2025–35 (Table 1.2, occupational projections). Sum of BLS 2025 and projected 2035 employment over the unique SOC codes behind the major's listed careers; percent = 2035/2025 - 1. All U.S. jobs: +3.5%.
- 20-year view: BLS publishes 10-year projections only. For 2035–2045 we show a range, not a forecast: the top edge assumes the field's 2025–35 yearly rate keeps going for 10 more years; the bottom edge assumes no further change after 2035 (reversed for fields BLS expects to shrink). Real results can land outside this range.
- AI task exposure: share of each job's tasks (from the O*NET 30.0 task list) that current AI tools could do at least twice as fast at the same quality, from Eloundou, Manning, Mishkin & Rock (2023), “GPTs are GPTs” (Science, 2024; human and GPT-4 ratings averaged; tasks that need extra software count half). Cross-checked against Felten, Raj & Seamans' AI Occupational Exposure scores (rank correlation 0.68 across 170 careers). Major figure = equal-weight average of the careers we list for it. All U.S. jobs (33%) = Employment-weighted mean over 772 detailed occupations (142.8M jobs, OEWS May 2024), same formula as the major figures. Exposure means AI can speed up tasks. It is not a prediction of job losses. The ILO's exposure index wasn't used because it's published on a different occupation system.
- BLS AI notes: where BLS lists artificial intelligence as a factor in its 2025–35 projection for an occupation (Table 1.12), we quote it.
- Careers per major: the same career list MajorMatch uses in its Earnings Continuum and loan calculators. A major doesn't limit you to these jobs.
Updated 2026-10-31. Data: bls.gov/oes, bls.gov/emp, onetcenter.org, github.com/openai/GPTs-are-GPTs, github.com/AIOE-Data/AIOE.