What it is
Statistics is the science of collecting, analyzing, interpreting, and drawing conclusions from data under uncertainty. In a data-driven world, it's one of the most in-demand and versatile quantitative fields, powering research, business, healthcare, and technology.
What you'll study
Statistics blends math, computing, and applied analysis:
- FoundationCalculus, linear algebra, probability
- CoreStatistical inference, regression, experimental design, statistical computing (R/Python)
- AppliedData analysis, machine learning, and a domain focus
Concentrations & focus areas
- Applied / Data StatisticsReal-world analysis
- BiostatisticsHealth & medicine
- Machine Learning / Data SciencePredictive modeling
- Actuarial / FinancialRisk
- Survey / Social StatisticsResearch
- Statistical ComputingTools & software
Skills you'll build
- Statistical analysisInference and modeling
- ProgrammingR, Python, SQL
- Data wranglingCleaning and preparing data
- CommunicationExplaining results
- Critical thinkingAvoiding pitfalls in data
Careers & job titles
- StatisticianGovernment, health, research, industry
- Data scientist / analystVery common, well-paid
- BiostatisticianPharma and healthcare
- Quantitative analystFinance
- Machine-learning engineerTech
- Actuary / risk analystInsurance
Job outlook & demand
The BLS projects statisticians to grow about 10% (much faster than average), and closely related data science ~34% — among the fastest-growing occupations. Demand spans healthcare, government, tech, and business as data volumes explode.
Pay: median, range & trajectory
Per the U.S. Bureau of Labor Statistics (May 2025), statisticians had a median of $105,650 (range ~$64,000–$174,050). Data-science roles (~$112,590) and biostatistics pay strongly; demand is broad and growing.
Degree levels it's offered at
Offered across these levels — click a level to learn about it:
A bachelor's (especially with programming) is employable in analytics/data roles; a master's is common for statistician and biostatistician positions and boosts pay.
Is it right for you?
You might thrive here if you like data, math, and drawing real conclusions from evidence, and want one of the most in-demand quantitative skill sets.
Strong choice: statistics is directly employable, unlike some pure sciences — pair it with programming (R/Python) to be highly competitive for data-science and analytics roles.
Explore further
Keep exploring:
Key facts
- StudiesCollecting, analyzing & interpreting data
- StudyInference, regression, design, R/Python
- CareersStatistician, data scientist, biostatistician, quant
- Outlook~10% growth (much faster, BLS)
- Pay$105,650 median (BLS); ~$64k–$174k
Where to learn more
Authoritative sources for careers and pay: