Career Exploration Series: How to Become an Statistician

Statisticians typically need a master's degree in statistics, mathematics, or survey methodology. However, a bachelor's degree is sufficient for some entry-level jobs. Research and academic jobs generally require a Ph.D.

Education
Many colleges and universities offer undergraduate and graduate degree programs in statistics. A bachelor’s degree in statistics is not needed to enter a graduate program. However, significant coursework in statistics or mathematics is essential. Required subjects for a bachelor’s degree in statistics include differential and integral calculus, statistical methods, mathematical modeling, and probability theory.

Many colleges and universities advise or require students to take courses in a related field, such as computer science, engineering, physics, or mathematics. Candidates with experience in a related discipline are particularly desirable to many employers.

For example, training in engineering or physical science is useful for statisticians working in manufacturing on quality or productivity improvement. A background in biology, chemistry, or health sciences is useful for work testing pharmaceutical or agricultural products.

Because statisticians use and write computer programs for many calculations, a strong background in computer science is also helpful.

Advancement
Opportunities for promotion are greater for people with master's degrees or Ph.D.s. Statisticians with a master's degree or a Ph.D. usually can design their own work. They may develop new statistical methods or become independent consultants.

Important Qualities

Critical-thinking skills. Statisticians use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.

Math skills. Statisticians use statistics, calculus and linear algebra to develop their models and analyses.

Problem-solving skills. Statisticians must develop techniques to overcome problems in data collection and analysis, such as high nonresponse rates, so that they can draw meaningful conclusions.

Speaking skills. Because statisticians often work in teams, they must be able to present statistical information and ideas so that others will understand.

Writing skills. Good writing skills are important for statisticians because they write reports explaining technical matters to persons without their level of statistical expertise.