What do they do?
Conduct research in fundamental mathematics or in application of mathematical techniques to science, management, and other fields. Solve problems in various fields using mathematical methods.
Also known as:
Agent-Based Modeler, Computational Mathematician, Computational Scientist, Cryptographer, Cryptographic Vulnerability Analyst, Mathematician, Research Computing Specialist, Research Scientist, Researcher
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Ranks #13 in job growth rate0Job Openings
Ranks #13 in net job growth
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- Bachelor's degree (40%)
- Master's degree (35%)
- Doctorate or Professional Degree (11%)
- Some college, no degree (6%)
- Associate's degree (4%)
- High school diploma equivalent (3%)
- Less than high school diploma (<1%)
Most Popular Majors that prepare Mathematicians
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#1
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Degrees Granted
23,538
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Female Students
8,878
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Male Students
14,660
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Median Starting Salary
$54,000
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#2
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Degrees Granted
5,481
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Female Students
2,022
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Male Students
3,459
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Median Starting Salary
$56,100
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#3
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Degrees Granted
4,152
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Female Students
1,540
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Male Students
2,612
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Median Starting Salary
$56,100
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#4
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Degrees Granted
1,397
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Female Students
451
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Male Students
946
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Median Starting Salary
$63,500
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#5
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Degrees Granted
727
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Female Students
280
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Male Students
447
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Median Starting Salary
$56,100
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People in this career often have these skills:
- Mathematics - Using mathematics to solve problems.
- Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
- Reading Comprehension - Understanding written sentences and paragraphs in work-related documents.
- Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making.
- Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
- Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one.
- Writing - Communicating effectively in writing as appropriate for the needs of the audience.
- Science - Using scientific rules and methods to solve problems.
- Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
People in this career often know a lot about:
- Mathematics - Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
- Education and Training - Knowledge of principles and methods for curriculum and training design, teaching and instruction for individuals and groups, and the measurement of training effects.
- Computers and Electronics - Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
People in this career often have talent in:
- Mathematical Reasoning - The ability to choose the right mathematical methods or formulas to solve a problem.
- Number Facility - The ability to add, subtract, multiply, or divide quickly and correctly.
- Oral Comprehension - The ability to listen to and understand information and ideas presented through spoken words and sentences.
- Written Comprehension - The ability to read and understand information and ideas presented in writing.
- Oral Expression - The ability to communicate information and ideas in speaking so others will understand.
- Written Expression - The ability to communicate information and ideas in writing so others will understand.
- Deductive Reasoning - The ability to apply general rules to specific problems to produce answers that make sense.
- Inductive Reasoning - The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).
- Information Ordering - The ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations).
- Category Flexibility - The ability to generate or use different sets of rules for combining or grouping things in different ways.
- Fluency of Ideas - The ability to come up with a number of ideas about a topic (the number of ideas is important, not their quality, correctness, or creativity).
- Originality - The ability to come up with unusual or clever ideas about a given topic or situation, or to develop creative ways to solve a problem.
- Problem Sensitivity - The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing that there is a problem.
- Near Vision - The ability to see details at close range (within a few feet of the observer).
People in this career often do these activities:
- Collaborate on research activities with scientists or technical specialists.
- Provide technical guidance to other personnel.
- Update knowledge about emerging industry or technology trends.
- Develop scientific or mathematical models.
- Present research results to others.
- Prepare analytical reports.
- Analyze data to identify trends or relationships among variables.
- Review professional literature to maintain professional knowledge.
- Update professional knowledge.
- Design computer modeling or simulation programs.
- Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
- Determine appropriate methods for data analysis.
- Analyze security of systems, network, or data.
- Develop computer or information security policies or procedures.
This page includes data from:
Career data: O*NET 30.0 Database
by the U.S. Department of Labor, Employment and Training Administration (“USDOL/ETA”). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA
Occupation statistics: USDOL U.S. Bureau of Labor Statistics Occupational Employment Statistics
Videos: CareerOneStop, USDOL/ETA and the Minnesota Department of Employment & Economic Development
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