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data science, general

Types of Degrees data science, general Majors Are Earning

Students pursuing data science, general can earn degrees at several award levels.

Award Level	Graduates
Certificate	8
Associate’s Degree	52
Bachelor’s Degree	2,479
Master’s Degree	5,091
Doctor’s Degree	31

What data science, general Majors Need to Know

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

Knowledge Areas

According to O*NET, a major in data science, general emphasizes the following knowledge areas:

• Computers and Electronics — Importance 4.0 / 5; level 5.1 / 7.
• English Language — Importance 3.7 / 5; level 4.3 / 7.
• Mathematics — Importance 3.6 / 5; level 4.5 / 7.
• Customer and Personal Service — Importance 3.2 / 5; level 3.8 / 7.
• Administration and Management — Importance 3.0 / 5; level 3.7 / 7.

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

Skills

The skill set emphasized by a data science, general program reflects the day-to-day work of related occupations:

• Reading Comprehension — Importance 3.9 / 5; level 4.4 / 7.
• Critical Thinking — Importance 3.9 / 5; level 4.2 / 7.
• Active Listening — Importance 3.8 / 5; level 4.0 / 7.
• Speaking — Importance 3.8 / 5; level 4.0 / 7.
• Writing — Importance 3.7 / 5; level 4.1 / 7.

Abilities

The cognitive and physical abilities most relevant to data science, general careers — again drawn from O*NET surveys of related occupations:

• Written Comprehension — Importance 4.0 / 5; level 4.4 / 7.
• Oral Comprehension — Importance 4.0 / 5; level 4.5 / 7.
• Oral Expression — Importance 3.9 / 5; level 4.4 / 7.
• Deductive Reasoning — Importance 3.9 / 5; level 4.4 / 7.
• Inductive Reasoning — Importance 3.9 / 5; level 4.2 / 7.

Common Job Activities

Day-to-day, data science, general graduates report doing:

Activity	Frequency / Importance
Working with Computers	4.7 / 7
Getting Information	4.4 / 7
Analyzing Data or Information	4.4 / 7
Processing Information	4.3 / 7
Communicating with Supervisors, Peers, or Subordinates	4.2 / 7
Making Decisions and Solving Problems	4.1 / 7
Organizing, Planning, and Prioritizing Work	4.1 / 7
Updating and Using Relevant Knowledge	4.0 / 7
Documenting/Recording Information	4.0 / 7
Identifying Objects, Actions, and Events	4.0 / 7

Technology Skills Used on the Job

Most frequently-cited tools used by data science, general professionals:

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

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

Sample Job Titles

Real job postings for data science, general graduates include:

• Data Analyst
• Data Modeler
• Data Engineer
• Instructor
• Foreign Student Adviser Teacher
• Naval Science Teacher
• Interior Design Teacher
• Industrial Arts Teacher
• Metal Crafts Teacher
• Lecturer
• Military Science Instructor
• Teacher
• Braille Teacher
• Urban Planning Teacher
• Flight Simulation Instructor

Education Typically Required

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

Education Level	Share of Workers
Bachelor’s degree	59.5%
Master’s degree	20.0%
Associate’s degree (or other 2-year)	4.1%
Doctoral degree	3.8%
Some college courses	3.2%
Postsecondary certificate	3.1%
Post-baccalaureate certificate	2.4%
Post-doctoral training	2.3%
High school diploma or equivalent	1.6%
First professional degree	0.1%

^{Source: ONET Online education / training / experience requirements.*}

Who Is Earning a Degree in data science, general?

Gender Distribution

This field skews predominantly male, with men earning 62.6% of data science, general degrees.

Gender	Graduates	Share
Women	2,865	37.4%
Men	4,803	62.6%

Racial-Ethnic Diversity

At the national level, the racial-ethnic distribution of data science, general graduates is as follows:

Race / Ethnicity	Graduates	Share
White	2,438	31.8%
Asian	987	12.9%
Hispanic or Latino	474	6.2%
Black or African American	307	4.0%
American Indian / Alaska Native	11	0.1%
Native Hawaiian / Pacific Islander	3	0.0%
Two or More Races	175	2.3%
Race Unknown	283	3.7%
International Students	2,990	39.0%

^{See minority definition below.}

Online data science, general Programs

Distance learning is tracked by IPEDS for data science, general. 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
Associate’s	4	3
Bachelor’s	9	4
Master’s	39	16
Doctoral (Research)	1	2

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

Related Programs

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

Program	CIP Code
Data Science	30.70
Data Science, Other	30.7099
Mathematics and Computer Science	30.0801

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.

• College Factual
• National Center for Education Statistics (IPEDS)
• O*NET Online
• U.S. Bureau of Labor Statistics
• U.S. Department of Education College Scorecard

More about our data sources and methodologies.