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data analytics, other

Types of Degrees data analytics, other Majors Are Earning

Those studying data analytics, other have the option of earning degrees at several award levels.

Award Level	Graduates
Certificate	27
Bachelor’s Degree	73
Master’s Degree	129
Doctor’s Degree	3

What data analytics, other Majors Need to Know

Coursework for data analytics, other build a specific mix of knowledge, skills, and abilities — derived from O*NET surveys of workers in occupations that data analytics, other graduates commonly enter.

Knowledge Areas

Coursework in data analytics, other emphasizes the following knowledge areas:

• Computers and Electronics — Importance 4.2 / 5; level 5.3 / 7.
• English Language — Importance 3.9 / 5; level 4.5 / 7.
• Mathematics — Importance 3.8 / 5; level 4.7 / 7.
• Administration and Management — Importance 3.3 / 5; level 3.7 / 7.
• Customer and Personal Service — Importance 3.3 / 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 data analytics, other program reflects the day-to-day work of related occupations:

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

Abilities

Innate abilities most relevant to data analytics, other careers — again drawn from O*NET surveys of related occupations:

• Written Comprehension — Importance 4.0 / 5; level 4.3 / 7.
• Oral Comprehension — Importance 4.0 / 5; level 4.4 / 7.
• Inductive Reasoning — Importance 3.9 / 5; level 4.2 / 7.
• Oral Expression — Importance 3.9 / 5; level 4.4 / 7.
• Deductive Reasoning — Importance 3.9 / 5; level 4.3 / 7.

Common Job Activities

Day-to-day, data analytics, other graduates report doing:

Activity	Frequency / Importance
Working with Computers	4.7 / 7
Analyzing Data or Information	4.5 / 7
Getting Information	4.5 / 7
Processing Information	4.5 / 7
Communicating with Supervisors, Peers, or Subordinates	4.3 / 7
Making Decisions and Solving Problems	4.3 / 7
Updating and Using Relevant Knowledge	4.1 / 7
Interpreting the Meaning of Information for Others	4.1 / 7
Identifying Objects, Actions, and Events	4.0 / 7
Thinking Creatively	4.0 / 7

Technology Skills Used on the Job

Most frequently-cited tools used by data analytics, other professionals:

Tool / Software	Category	In-Demand
SAS	Analytical or scientific software	✓
Microsoft Office software	Office suite software	✓
Microsoft Excel	Spreadsheet software	✓
Microsoft PowerPoint	Presentation software	✓
Microsoft Access	Data base user interface and query software	✓
Microsoft SQL Server	Data base user interface and query software	✓
C++	Object or component oriented development software	✓
Structured query language SQL	Data base user interface and query software	✓
IBM SPSS Statistics	Analytical or scientific software	✓
Teradata Database	Data base management system software	—
Oracle Java	Object or component oriented development software	✓
C#	Object or component oriented development software	✓

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

Sample Job Titles

Real job postings for data analytics, other graduates include:

• Data Analyst
• Program Analyst
• Business Analyst
• Reports Analyst
• Business Process Analyst
• Business Consultant
• Business Systems Analyst
• Lecturer
• Faculty Member
• Project Management Professor
• Liberal Arts Teacher
• Associate Professor
• Science Teacher
• Medical Secretary Teacher
• Military Science Teacher

Education Typically Required

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

Education Level	Share of Workers
Bachelor’s degree	65.0%
Master’s degree	20.8%
Associate’s degree (or other 2-year)	4.8%
Post-baccalaureate certificate	3.6%
Some college courses	3.1%
Doctoral degree	2.1%
Post-doctoral training	0.6%

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

Who Is Earning a Degree in data analytics, other?

Gender Distribution

This field has a relatively balanced gender distribution: 45.3% women and 54.7% men among data analytics, other graduates.

Gender	Graduates	Share
Women	105	45.3%
Men	127	54.7%

Racial-Ethnic Diversity

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

Race / Ethnicity	Graduates	Share
White	113	48.7%
Asian	19	8.2%
Hispanic or Latino	19	8.2%
Black or African American	15	6.5%
American Indian / Alaska Native	2	0.9%
Two or More Races	5	2.2%
Race Unknown	14	6.0%
International Students	45	19.4%

^{See minority definition below.}

Online data analytics, other Programs

Distance learning is tracked by IPEDS for data analytics, other. 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	1	0

^{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 Analytics	30.71
Business Analytics	30.7102
Data Analytics, General	30.7101
Data Visualization	30.7103
Financial Analytics	30.7104
Computational Science	30.3001
Data Science, General	30.7001
Data Science, Other	30.7099

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.