Civil Engineer vs Data Scientist: Career Comparison
Choosing between Civil Engineer and Data Scientist? This side-by-side compares salary, outlook, education, skills, and what the work actually looks like day-to-day. Data Scientist typically pays more at the median. Both are research-backed Qoollege career guides — read either in full below.
Side-by-side
Higher salary ceiling: Data Scientist. Faster projected growth: Data Scientist. Same education level: no.
| Attribute | Civil Engineer | Data Scientist |
|---|---|---|
| Salary range | $60k – $118k | $95k – $165k |
| Outlook & demand | High · +5% by 2034 | Very high · +34% by 2034 |
| Education level | Bachelor | Master |
| Top skills | Problem-solving, Math, Design, Teamwork, Attention to detail | Coding, Statistics, Data Visualization, Machine Learning, Communication |
| Where they work | engineering firms, construction companies, government agencies, transportation, water resources, public works, consulting services | tech companies, finance, healthcare, pharmaceuticals, retail, e-commerce, consulting, government, insurance, manufacturing |
| Day-to-day work | Daily work in civil engineering is a mix of design, analysis, coordination, and field checks. Some hours are spent at a desk reviewing plans, writing documents, and running calculations, while other hours may be on construction sites checking progress, safety, and compliance. | Daily work is usually a mix of coding, analysis, cleaning messy data, and talking with other teams. A lot of the job is less about flashy AI and more about careful preparation, testing, documentation, and explaining results in plain language. |
| Education routes | Bachelor's in civil engineering; Bachelor's in related engineering field; Work after degree + PE licensure; Specialized master's after the bachelor's | 4-year degree; Master's degree; Bootcamp / certificate pathway; Self-taught + portfolio |
| Projected growth | +5% | +34% |