How hard is it to become a mathematician?

It is somewhat difficult to become a mathematician. Individuals desiring to work in this profession must have the desire and aptitude to research and apply mathematical principles. Mathematics is listed consistently as one of the most challenging degrees to obtain. Earning a math degree requires the ability to apply math conceptually to solve real-world problems. This can be difficult for someone who did not pursue advanced mathematics courses while in high school.

How To Become A Mathematical Statistician: What It Is and Career Path

What is a mathematical statistician and how to become one

Updated January 8, 2025

3 min read

Quoted expert

Susan Barton

A mathematical statistician analyzes data to solve issues in the industry, academia, business, and government. These individuals apply mathematical and statistical approaches to help solve problems and to gather data to help organizations to make informed decisions. These professionals prepare reports that communicate analyses and results, and collect data and develop surveys to gather information. They also manage databases, and once the data they gathered is analyzed, they interpret the results, draw conclusions, and make reports for clients and upper management.

Most mathematical statisticians have a bachelor's or a master's in mathematics, statistics, or a related field and should be proficient at computing, statistical analyses, mathematical modeling, and the visual representation of quantitative information. They should also possess strong analytical, organizational, and problem-solving skills.

Most mathematical statisticians can make up to $92,000 per year, and the job field is expected to grow considerably by 33% in the next ten years.

What general advice would you give to a mathematical statistician?

Susan Barton

Professor of Mathematics, Brigham Young University -- Hawaii

Be willing to put all the effort you can into your job. Employers want people who are willing to work diligently and willing to continue to learn new things throughout their careers. However, you need to find a good balance between family and work.

ScoreMathematical StatisticianUS Average

Salary

4.9

Avg. Salary $62,612

Avg. Salary $59,228

Stability level

4.3

Growth rate 31%

Growth rate 0.3%

Diversity

2.7

Race

American Indian and Alaska Native 0.22%

Asian 22.75%

Black or African American 5.06%

Hispanic or Latino 7.59%

Unknown 4.95%

White 59.43%

Gender

female 43.70%

male 56.30%

Age - 35

Race

American Indian and Alaska Native 3.00%

Asian 7.00%

Black or African American 14.00%

Hispanic or Latino 19.00%

White 57.00%

Gender

female 47.00%

male 53.00%

Age - 35

Stress level

4.3

Stress level is moderate

7.1 - high

Complexity level

9.8

Complexity level is advanced

7 - challenging

Work life balance

7.4

Work life balance is good

6.4 - fair

Key steps to become a mathematical statistician

Explore mathematical statistician education requirements

Most common mathematical statistician degrees

Bachelor's

74.8 %

Master's

16.2 %

Doctorate

8.1 %

Start to develop specific mathematical statistician skills

Skills	Percentages
Statistical Methods	17.58%
Experimental Design	13.57%
Statistical Models	13.20%
Sample Size	12.76%
Statistical Research	11.38%

Complete relevant mathematical statistician training and internships

Accountants spend an average of 6-12 months on post-employment, on-the-job training. New mathematical statisticians learn the skills and techniques required for their job and employer during this time. The chart below shows how long it takes to gain competency as a mathematical statistician based on U.S. Bureau of Labor Statistics data and data from real mathematical statistician resumes.

Research mathematical statistician duties and responsibilities

Apply logistic regression models to select the post-stratification and raking variables.
Implement a system of automate regression models.
Conduct statistical analyses using SPSS software to provide attorneys with request information and to assist attorneys on various projects.
Implement a system of automate regression models.

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