What Mathematicians and Statisticians Do About this section Mathematicians and statisticians work with formulas and data to help solve problems in industry, academia, and government. Work Environment About this section Mathematicians and statisticians may work on teams with engineers and scientists. How to Become a Mathematician or Statistician About this section Years of study are required to become a mathematician or statistician.
Job Outlook About this section Mathematicians and Statisticians Percent change in employment, projected Statisticians. CareerOneStop CareerOneStop includes hundreds of occupational profiles with data available by state and metro area.
Similar Occupations About this section This table shows a list of occupations with job duties that are similar to those of mathematicians and statisticians. Contacts for More Information About this section For more information about mathematicians, including training, especially for doctoral-level employment, visit American Mathematical Society For more information about statisticians, visit American Statistical Association This is Statistics For specific information on careers in applied mathematics, visit Society for Industrial and Applied Mathematics For information on federal government requirements for mathematician positions, visit U.
Suggested citation: Bureau of Labor Statistics, U. What They Do The What They Do tab describes the typical duties and responsibilities of workers in the occupation, including what tools and equipment they use and how closely they are supervised.
Work Environment The Work Environment tab includes the number of jobs held in the occupation and describes the workplace, the level of physical activity expected, and typical hours worked. Pay The Pay tab describes typical earnings and how workers in the occupation are compensated—annual salaries, hourly wages, commissions, tips, or bonuses. Job Outlook The Job Outlook tab describes the factors that affect employment growth or decline in the occupation, and in some instances, describes the relationship between the number of job seekers and the number of job openings.
Similar Occupations The Similar Occupations tab describes occupations that share similar duties, skills, interests, education, or training with the occupation covered in the profile.
Contacts for More Information The More Information tab provides the Internet addresses of associations, government agencies, unions, and other organizations that can provide additional information on the occupation. On-the-job Training Additional training needed postemployment to attain competency in the skills needed in this occupation.
Entry-level Education Typical level of education that most workers need to enter this occupation. Work experience in a related occupation Work experience that is commonly considered necessary by employers, or is a commonly accepted substitute for more formal types of training or education. Number of Jobs, The employment, or size, of this occupation in , which is the base year of the employment projections.
Job Outlook, The projected percent change in employment from to Employment Change, The projected numeric change in employment from to Employment Change, projected The projected numeric change in employment from to Growth Rate Projected The percent change of employment for each occupation from to Projected Number of New Jobs The projected numeric change in employment from to Projected Growth Rate The projected percent change in employment from to Get data. Bachelor's degree. Computer Systems Analysts.
Financial Analysts. Market Research Analysts. Operations Research Analysts. Postsecondary Teachers. See How to Become One. Survey Researchers. Master's degree. Computer Programmers. Physicists and Astronomers. Physicists and astronomers study the interactions of matter and energy. Work Environment Statisticians generally work regular hours in an office environment. Sometimes, they may work more hours to meet deadlines. Some statisticians travel to provide advice on research projects, supervise and set up surveys, or gather statistical data.
Although e-mail and teleconferencing make it easier for statisticians to work with clients in different areas, there still are situations that require the statistician to be present, such as during meetings or while gathering data.
Research and academic positions usually require a Ph. Beginning positions in industrial research often require a master's degree combined with several years of experience. Jobs with the Federal Government require at least a bachelor's degree. The training required for employment as an entry-level statistician in the Federal Government is a bachelor's degree, including at least 15 semester hours of statistics or a combination of 15 hours of mathematics and statistics with at least 6 semester hours in statistics.
Qualifying as a mathematical statistician in the Federal Government requires 24 semester hours of mathematics and statistics, with a minimum of 6 semester hours in statistics and 12 semester hours in an area of advanced mathematics, such as calculus, differential equations, or vector analysis.
Many colleges and universities offer degree programs in statistics, biostatistics, or mathematics, while other schools also offer graduate-level courses in applied statistics for students majoring in biology, business, economics, education, engineering, psychology, and other fields. Acceptance into graduate statistics programs does not require an undergraduate degree in statistics, although good training in mathematics is essential.
There are a variety of ways to aid a statistician's growth in mathematics including tutoring, college courses, and text books. Seeking help from knowledgeable tutors can aid aspiring statisticians in being accepted into graduate statistics programs. Many schools also offer degrees in fields that include a sufficient number of courses in statistics to qualify graduates for some entry-level positions with the Federal Government.
Required subjects for statistics majors include differential and integral calculus, statistical methods, mathematical modeling, and probability theory. Additional recommended courses for undergraduates include linear algebra, design and analysis of experiments, applied multivariate analysis, and mathematical statistics.
Because computers are used extensively for statistical applications, a strong background in computer science is highly recommended. For positions involving quality and improvement in productivity, training in engineering or physical science is useful. A background in biological, chemical, or health science is important for positions involving the preparation and testing of pharmaceutical or agricultural products.
Courses in economics and business administration are valuable for many jobs in market research, business analysis, and forecasting. Advancements in technology have made a great impact on statistics. Statistical modeling continues to become quicker and easier because of increased computational power and new analytical methods or software. Continuing education is important for statisticians, who need to stay abreast of emerging technologies to perform well.
Other Skills Required Other qualifications Good communication skills are important for statisticians who seek a job in private industry, because these statisticians often need to explain technical matters to persons without statistical expertise.
By comparison, the aforementioned 33 percent growth rate for statistician jobs in the U. The earning potential for these roles is also promising. Another possible alternative to a career in statistics could be to pursue a role in data science.
While there is a fair amount of overlap between the fields of statistics and data science, there are several important distinctions. For example, whereas statisticians use mathematical analysis to solve real-world problems, data scientists take a multidisciplinary approach which is more focused on computing techniques in order to extract insights from data.
Unlike data analysts who interpret and draw conclusions from data sets, data scientists design processes for modeling data. Data science is a rapidly growing field that has caught the attention of those looking to break into a career that combines mathematical and statistical analysis, coding skills, and substantive expertise.
Since this role is considered more senior than data analysts, it is common for employers to seek candidates with a graduate degree in data science or a related field. Due to their expertise, data scientists can also expect competitive compensation. Consider your personal and professional goals to determine which path you want to follow. The data analytics program is suitable for people who are analytical thinkers and problem solvers and can be valuable to those with virtually any background.
On the other hand, if you aspire to become a data scientist, consider the benefits that earning an MS in Data Science can have on your career. Not only do employers value advanced degrees when recruiting for these positions, but choosing a program that is rooted in experiential learning can provide you with the hands-on learning and skills you will need to excel in the workplace.
No matter which path you choose, be sure to evaluate both your personal and professional goals to help you decide which career path is right for you. Stay up to date on our latest posts and university events.
Plus receive relevant career tips and grad school advice. Subscribe By providing us with your email, you agree to the terms of our Privacy Policy and Terms of Service. Return to Blog Homepage. The career video is in the public domain from the U. Department of Labor, Employment and Training Administration. Free Career Tests. Powered by Campus Explorer. Skip to content A statistician develops and applies statistical or mathematical theories to obtain and summarize useful information to help solve real-world problems.
Job Description of a Statistician A statistician interprets and analyzes statistical information to solve engineering, economic, and biology issues. Get Your Degree! Go to mobile version.
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