GraduateSmart
GraduateSmart
Analyze and interpret complex data to help organizations make better decisions. Use data-oriented programming languages, data mining, modeling, and machine learning on large structured and unstructured datasets, then visualize and report the findings.
$75,000
Lower reported wage
$112,590
Median
$194,410
Upper reported wage
Annual U.S. salaries. Actual pay varies by location, employer, and experience. The lower and upper figures do not represent starting and senior salaries.

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Create free account →BLS identifies no universal professional license for data scientists. Employers judge degrees, analytical skills, projects, and sometimes graduate study. [1]
Search CareerOneStop by occupation and state, then confirm the rules with the issuing agency. Coverage is incomplete; an empty result does not mean no license is required.
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modernstates.orgCLEP Information Systems
3 credits · Technology & Computer Science
$1,703
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CLEP Calculus
4 credits · Mathematics
$2,303
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CLEP College Algebra
3 credits · Mathematics
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CLEP College Mathematics
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Optional skills training related to this career. Check prerequisites and enrollment terms.
U.S. career guide. Program, employer, and state requirements can differ.
Direct match. Median $112,590; 34.6% growth — among the fastest-growing occupations in the US, 2025-35. 275,600 jobs.
Illustration: AI-generated image · Illustrative scene
BLS does not describe a required training placement. Ask whether internships, research work, and portfolio projects are paid or for academic credit. [1]
Compare tuition after aid, computing access, optional graduate study, and the opportunity to build a portfolio through paid work.
Planning questions: request a written estimate from each program or sponsor. A total cost has not been verified here.
A related major can be preparation; it does not by itself qualify you for the career.
A related degree route; check that it includes substantial statistics, programming, and project work. [1]
Prepare data, develop statistical models or algorithms, test findings, visualize results, and explain recommendations to decision-makers. [1]
Data scientists usually work in offices across technology, finance, insurance, and other industries. [1]
Most work full time; project deadlines and collaboration needs vary by employer. [1]
Work requires sustained screen time, careful data cleaning, mathematical reasoning, and clear communication when results are uncertain. [1]
Graduate study or deep industry expertise may support specialized research or leadership roles; requirements depend on the employer. [1]
These are possible directions. Promotion timing and pay depend on the role and employer.
US$49/month · US/Canada subscription