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Data Processing

Data Processing

Instructional content is defined in code 11.0301.

Types of Degrees Data Processing Majors Are Earning

Students pursuing Data Processing may pursue degrees at several award levels.

Award Level Graduates
Certificate 98
Associate’s Degree 769
Bachelor’s Degree 129
Master’s Degree 1,044
Doctor’s Degree 18

What Data Processing Majors Need to Know

Studies in Data Processing build a specific mix of knowledge, skills, and abilities — derived from O*NET surveys of workers in occupations that Data Processing graduates commonly enter.

Knowledge Areas

This major prepares you for careers needing Data Processing emphasizes the following knowledge areas: Knowledge areas for Data Processing majors

  • Computers and Electronics — Importance 4.4 / 5; level 5.6 / 7.
  • English Language — Importance 4.0 / 5; level 4.1 / 7.
  • Customer and Personal Service — Importance 3.6 / 5; level 4.4 / 7.
  • Engineering and Technology — Importance 3.4 / 5; level 3.9 / 7.
  • Administration and Management — Importance 3.3 / 5; level 4.0 / 7.

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

Skills

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

  • Reading Comprehension — Importance 4.0 / 5; level 4.1 / 7.
  • Critical Thinking — Importance 3.9 / 5; level 4.0 / 7.
  • Active Listening — Importance 3.8 / 5; level 3.9 / 7.
  • Writing — Importance 3.6 / 5; level 3.8 / 7.
  • Speaking — Importance 3.6 / 5; level 3.8 / 7.

Abilities

The cognitive and physical abilities most relevant to Data Processing careers — again drawn from O*NET surveys of related occupations: Abilities for Data Processing majors

  • Oral Comprehension — Importance 4.0 / 5; level 4.2 / 7.
  • Written Comprehension — Importance 3.9 / 5; level 4.2 / 7.
  • Oral Expression — Importance 3.9 / 5; level 4.1 / 7.
  • Deductive Reasoning — Importance 3.8 / 5; level 4.0 / 7.
  • Problem Sensitivity — Importance 3.8 / 5; level 3.8 / 7.

Common Job Activities

Day-to-day, Data Processing graduates report doing:

Activity Frequency / Importance
Working with Computers 4.8 / 7
Getting 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 4.2 / 7
Processing Information 4.2 / 7
Analyzing Data or Information 4.1 / 7
Identifying Objects, Actions, and Events 4.0 / 7
Organizing, Planning, and Prioritizing Work 4.0 / 7
Evaluating Information to Determine Compliance with Standards 3.9 / 7

Technology Skills Used on the Job

Most frequently-cited tools used by Data Processing professionals:

Tool / Software Category In-Demand
Oracle Java Object or component oriented development software
Linux Operating system software
Structured query language SQL Data base user interface and query software
Microsoft Azure software Development environment software
Amazon Web Services AWS software Data base user interface and query software
JavaScript Web platform development software
Python Object or component oriented development software
UNIX Operating system software
Perl Object or component oriented development software
Microsoft Excel Spreadsheet software
Microsoft Office software Office suite software
Microsoft PowerPoint Presentation software

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

Sample Job Titles

Real job postings for Data Processing graduates include:

  • Systems Engineer
  • Security Engineer
  • IT Architect (Information Technology Architect)
  • Cloud Engineer
  • Network Engineer
  • Engineer
  • Firmware Engineer
  • Web Site Project Manager
  • Security Analyst
  • Network Security Engineer
  • Security Architect
  • Information Security Loss Prevention Engineer
  • Systems Security Engineer
  • Information Security Management Engineer
  • Cloud Security Architect

Education Typically Required

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

Education Level Share of Workers
Bachelor’s degree 42.9%
Associate’s degree (or other 2-year) 18.0%
Postsecondary certificate 15.9%
Some college courses 6.4%
Post-baccalaureate certificate 5.4%
Master’s degree 5.1%
High school diploma or equivalent 2.8%
Post-master’s certificate 2.2%
Less than a high school diploma 1.2%
Education levels for Data Processing majors

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

Who Is Earning a Degree in Data Processing?

Gender Distribution

This field skews predominantly male, with men earning 65.9% of Data Processing degrees.

Gender Graduates Share
Women 727 34.1%
Men 1,404 65.9%

Racial-Ethnic Diversity

At the national level, the racial-ethnic distribution of Data Processing graduates is as follows:

Racial-ethnic diversity of Data Processing graduates
Race / Ethnicity Graduates Share
White 788 37.0%
Asian 139 6.5%
Hispanic or Latino 364 17.1%
Black or African American 389 18.3%
American Indian / Alaska Native 10 0.5%
Native Hawaiian / Pacific Islander 2 0.1%
Two or More Races 74 3.5%
Race Unknown 74 3.5%
International Students 291 13.7%

See minority definition below.

How Much Do Data Processing Graduates Earn?

College Scorecard reports median earnings of Data Processing graduates 1, 4, and 5 years after completion. Wages typically rise steadily as graduates gain experience and move into mid-career roles.

Years Out Median Earnings
1 year $38,756
4 years $41,578
5 years $46,682

By year 5 out, median earnings rise to $46,682 — roughly 20% above the 1-year mark.

Source: U.S. Department of Education College Scorecard, field-of-study earnings tracker.

Online Data Processing Programs

Online study is tracked by IPEDS for Data Processing. 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 16 5
Bachelor’s 2 2
Master’s 1 2
Doctoral (Research) 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.

Is a Degree in Data Processing Worth It?

Looking purely at the federal earnings tracker, Data Processing graduates earn a median of $41,578 four years after completion — roughly 9% above the national median for workers with only a high school diploma (~$38,000).

4-year median earnings vs national baseline for Data Processing

ROI estimate compares the program’s 4-yr median earnings against the 2023 BLS CPS median earnings for high-school-only workers. Source: U.S. Department of Education College Scorecard + BLS Current Population Survey.

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

Program Annual Degrees Awarded
Computer Information Sciences 332,216
Computer and Information Sciences, General 118,381
Computer Science 79,857
Computer/Information Technology Administration and Management 57,935
Information Science/Studies 22,425
Computer Software and Media Applications 15,581
Computer Programming 15,336
Computer Systems Networking and Telecommunications 15,034
Computer Systems Analysis 3,034
Computer and Information Sciences and Support Services, Other 2,066
Data Entry/Microcomputer Applications 436
COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES

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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