What it is
Data science combines statistics, programming, and domain knowledge to extract insight from data — cleaning and analyzing large datasets, building predictive models, and communicating what the data means. It's one of the fastest-growing, most in-demand fields as data volumes and AI explode.
What you'll study
Data science blends math, computing, and applied analysis:
- Year 1–2Calculus, linear algebra, probability, and programming (Python/R)
- Year 2–3Statistics & inference, data wrangling, databases, data visualization
- Year 3–4Machine learning, big-data tools, and a domain focus
- CapstoneAn end-to-end data project
Concentrations & focus areas
- Machine LearningPredictive modeling
- Statistics & AnalyticsInference & analysis
- Big Data EngineeringData at scale
- Business AnalyticsDecisions from data
- Data VisualizationCommunicating data
- Domain SpecialtiesHealth, finance, etc.
Skills you'll build
- Statistical modelingRigorous analysis
- Machine learningBuilding models
- ProgrammingPython, R, SQL
- Data wranglingCleaning & preparing data
- CommunicationTurning data into decisions
Careers & job titles
- Data scientistThe core role (~$112,590)
- Data analystAnalysis & reporting
- Machine-learning engineerBuilding ML systems
- Business / quantitative analystDecisions & strategy
- Data engineerData pipelines
- Research / applied scientistWith graduate study
Job outlook & demand
The BLS lists data scientists among the fastest-growing occupations, at about 34% growth over the decade — one of the highest of any field — adding tens of thousands of jobs. Demand is broad across healthcare, finance, tech, retail, and government as organizations invest in data and AI.
Pay: median, range & trajectory
Per the U.S. Bureau of Labor Statistics, data scientists had a median wage of about $112,590 — well above average. Entry roles start lower and rise quickly; experienced data scientists and ML engineers, especially in tech, commonly earn well into six figures. A master's can boost pay and options.
Degree levels it's offered at
Offered across these levels — click a level to learn about it:
A bachelor's (with strong stats + programming) enters analyst and junior data-science roles; a master's or PhD is common for senior data scientist and research roles.
Is it right for you?
You might thrive here if you like math and programming, enjoy finding stories in data, and want one of the most in-demand, well-paid skill sets.
Key: the strongest data scientists combine statistics, coding, and clear communication — build a portfolio of real analyses, and consider a master's for the most competitive roles.
Explore further
Keep exploring:
Key facts
- BlendStatistics + programming + domain
- StudyStats, ML, Python/R, data viz, databases
- CareersData scientist, ML engineer, analyst, data engineer
- Outlook~34% growth — among the fastest (BLS)
- Pay$112,590 median (BLS); rises fast
Where to learn more
Authoritative sources for careers and pay: