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applied statistics

applied statistics

Instructional content is defined in code 27.0601.

Types of Degrees applied statistics Majors Are Earning

Those studying applied statistics have the option of earning degrees at several award levels.

Award Level Graduates
Associate’s Degree 3
Bachelor’s Degree 110
Master’s Degree 446
Doctor’s Degree 13

What applied statistics Majors Need to Know

Programs in applied statistics develop a specific mix of knowledge, skills, and abilities — derived from O*NET surveys of workers in occupations that applied statistics graduates commonly enter.

Knowledge Areas

According to O*NET, a major in applied statistics emphasizes the following knowledge areas: Knowledge areas for applied statistics majors

  • English Language — Importance 4.0 / 5; level 4.5 / 7.
  • Mathematics — Importance 3.8 / 5; level 4.7 / 7.
  • Computers and Electronics — Importance 3.7 / 5; level 4.7 / 7.
  • Customer and Personal Service — Importance 3.4 / 5; level 4.1 / 7.
  • Administration and Management — Importance 3.2 / 5; level 3.8 / 7.

Importance is rated 1–5; level is 1–7. Source: ONET Online — weighted across related occupations.*

Skills

Skills developed in a applied statistics program reflects the day-to-day work of related occupations: Skills for applied statistics majors

  • Reading Comprehension — Importance 4.0 / 5; level 4.4 / 7.
  • Critical Thinking — Importance 4.0 / 5; level 4.3 / 7.
  • Active Listening — Importance 4.0 / 5; level 4.1 / 7.
  • Speaking — Importance 3.9 / 5; level 4.1 / 7.
  • Writing — Importance 3.8 / 5; level 4.1 / 7.

Abilities

Innate abilities most relevant to applied statistics careers — again drawn from O*NET surveys of related occupations: Abilities for applied statistics majors

  • Written Comprehension — Importance 4.0 / 5; level 4.5 / 7.
  • Oral Expression — Importance 4.0 / 5; level 4.6 / 7.
  • Oral Comprehension — Importance 4.0 / 5; level 4.6 / 7.
  • Inductive Reasoning — Importance 4.0 / 5; level 4.3 / 7.
  • Written Expression — Importance 4.0 / 5; level 4.3 / 7.

Common Job Activities

Day-to-day, applied statistics graduates report doing:

Activity Frequency / Importance
Working with Computers 4.5 / 7
Getting Information 4.5 / 7
Analyzing Data or Information 4.3 / 7
Communicating with Supervisors, Peers, or Subordinates 4.3 / 7
Processing Information 4.3 / 7
Making Decisions and Solving Problems 4.2 / 7
Organizing, Planning, and Prioritizing Work 4.1 / 7
Interpreting the Meaning of Information for Others 4.1 / 7
Updating and Using Relevant Knowledge 4.0 / 7
Documenting/Recording Information 4.0 / 7

Technology Skills Used on the Job

Most frequently-cited tools used by applied statistics professionals:

Tool / Software Category In-Demand
Microsoft Excel Spreadsheet software
Microsoft PowerPoint Presentation software
Microsoft Office software Office suite software
SAS Analytical or scientific software
Microsoft Access Data base user interface and query software
IBM SPSS Statistics Analytical or scientific software
R Object or component oriented development software
Microsoft Word Word processing software
Structured query language SQL Data base user interface and query software
Python Object or component oriented development software
StataCorp Stata Analytical or scientific software
The MathWorks MATLAB Analytical or scientific software

Source: ONET Online technology skills, weighted across related occupations.*

Sample Job Titles

Real job postings for applied statistics graduates include:

  • Data Analyst
  • Business Consultant
  • Reports Analyst
  • Business Analyst
  • Business Systems Analyst
  • Business Process Analyst
  • Clinical Data Coordinator
  • Psychometric Consultant
  • Data Specialist
  • Data Engineer
  • Statistical Consultant
  • Applied Scientist
  • Quantitative Methodologist
  • Data Modeler
  • Data Analytics Specialist

Education Typically Required

Across the occupations open to applied statistics graduates, the typical level of education actually held by current workers is distributed as:

Education Level Share of Workers
Bachelor’s degree 56.0%
Master’s degree 22.3%
Doctoral degree 4.0%
Post-baccalaureate certificate 4.0%
Some college courses 3.6%
Associate’s degree (or other 2-year) 3.5%
Post-doctoral training 2.4%
Postsecondary certificate 2.0%
High school diploma or equivalent 1.2%
First professional degree 1.0%
Post-master’s certificate 0.1%
Education levels for applied statistics majors

Source: ONET Online education / training / experience requirements.*

Who Is Earning a Degree in applied statistics?

Gender Distribution

This field has a relatively balanced gender distribution: 43.4% women and 56.6% men among applied statistics graduates.

Gender Graduates Share
Women 248 43.4%
Men 324 56.6%

Racial-Ethnic Diversity

At the national level, the racial-ethnic distribution of applied statistics graduates is as follows:

Racial-ethnic diversity of applied statistics graduates
Race / Ethnicity Graduates Share
White 298 52.1%
Asian 46 8.0%
Hispanic or Latino 28 4.9%
Black or African American 30 5.2%
Native Hawaiian / Pacific Islander 1 0.2%
Two or More Races 18 3.1%
Race Unknown 21 3.7%
International Students 130 22.7%

See minority definition below.

Online applied statistics Programs

Fully online options is reported by IPEDS for applied statistics. The table below shows how many graduates earned at least some of their coursework online (Distance-Ed Available) versus completing the entire program online (Distance-Ed Only).

Award Level Distance-Ed Available Distance-Ed Only
Master’s 9 1

Distance-Ed Only = degrees completed entirely online; Distance-Ed Available = degrees including at least some online coursework. Source: IPEDS Completions by Distance Education status.

You may also be interested in these closely related fields of study:

Program Annual Degrees Awarded
Mathematics and Statistics 47,270
Mathematics 25,518
Applied Mathematics 11,002
Statistics 9,603
Mathematics and Statistics, Other 575
MATHEMATICS AND STATISTICS

References

The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students and international students. This number is then divided by the total number of students to obtain the racial-ethnic minorities percentage.

More about our data sources and methodologies.

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