Mathematician

Mathematicians/statisticians (an example of a career area in mathematics) engage in the development of mathematical theory or apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information.  They may specialize in fields, such as bio-statistics, agricultural statistics, business statistics, economic statistics, and statistics applications for social policy, etc.  Additional mathematics occupations include actuary, architect, auditor, analyst, teacher, risk manager and computer scientist. Duties might also include conducting research in fundamental mathematics or in application of mathematical techniques to science, management, and other areas.

Visit Math Occupations to learn more about Mathematics: occupation description, interests, duties, skills, education/training, wages, job outlook, additional resources, similar jobs. 

How to begin your career path at Jefferson:

Jefferson Community College can help link you to a career as mathematics through its Associate of Science degree in Mathematics & Science-Math Concentration.  Mathematics and science students are expected to understand arithmetic, algebraic, geometric and statistical methods and to learn the general nature of scientific investigation, including the methods scientists use to explore natural phenomena.  This transfer degree will prepare the student to continue study at the bachelor’s degree level.  Depending on one’s career goal, complimentary courses in the social sciences and computer applications may also be helpful.  Students should work closely with their faculty advisor and transfer/career counselors in selecting courses and planning for transfer.  Many four year institutions offer mathematics and/or statistics majors.  

Start at Jefferson/Transfer Opportunities:

Recommended Course Background

  • Computer Applications
  • English language arts
  • Pre-Calculus
  • Social Sciences
  • Statistics
Meet a Professional
  • Judd Schorr
    Build and analyze models using large (BIG DATA) datasets, representing information in the areas of dig
    READ MORE >>