HOW TO GET THERE
Typical pathway
Many statisticians have a bachelor’s degree, and some have study beyond that level. Common fields include statistics, mathematics, computer science, economics, or a related subject, but pathways can vary by employer and specialty. Some jobs may expect strong coursework in math and data analysis, while others value experience with software, research methods, or applied problem solving. Students can prepare by taking advanced math courses, learning data tools, and building skills in critical thinking and communication. Internships, co-op programs, and research projects can also be helpful. In some workplaces, additional education may be preferred for more advanced or specialized roles.
THE WORK
What you may do
Statisticians design ways to collect data and decide which information is needed for a project. They clean and check data for errors, then use mathematical and statistical methods to analyze results. They look for patterns, trends, and relationships in large sets of information. They may build models, create charts and reports, and explain findings to clients, managers, researchers, or policy makers. Their work can support business planning, public programs, health studies, risk analysis, and research projects. Statisticians often work with other professionals to make sure results are accurate, useful, and clearly communicated. They may also recommend ways to improve future data collection.
A DAY IN THE LIFE
What a day can include
A statistician’s day often starts with reviewing a project goal and checking the data that has been collected. They may spend time cleaning spreadsheets, writing code, testing methods, and running analyses. Later, they might compare results, create graphs, and look for patterns that answer a research question or support a decision. Meetings are common, because statisticians need to understand what clients or teams need and explain what the numbers show. Part of the day may also involve writing notes, reports, or presentations in plain language. Some days focus on one large dataset, while others involve several smaller projects at the same time.
SKILLS TO BUILD