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linguistics and computer science

linguistics and computer science

Types of Degrees linguistics and computer science Majors Are Earning

Students pursuing linguistics and computer science have the option of earning degrees at several award levels.

Award Level Graduates
Master’s Degree 7

What linguistics and computer science Majors Need to Know

Coursework for linguistics and computer science develop a specific mix of knowledge, skills, and abilities — derived from O*NET surveys of workers in occupations that linguistics and computer science graduates commonly enter.

Knowledge Areas

Coursework in linguistics and computer science emphasizes the following knowledge areas: Knowledge areas for linguistics and computer science majors

  • English Language — Importance 4.2 / 5; level 5.3 / 7.
  • Computers and Electronics — Importance 4.2 / 5; level 5.4 / 7.
  • Education and Training — Importance 4.1 / 5; level 5.4 / 7.
  • Customer and Personal Service — Importance 3.7 / 5; level 4.5 / 7.
  • Communications and Media — 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

The skill set emphasized by a linguistics and computer science program reflects the day-to-day work of related occupations: Skills for linguistics and computer science majors

  • Reading Comprehension — Importance 4.2 / 5; level 4.8 / 7.
  • Writing — Importance 4.0 / 5; level 4.6 / 7.
  • Speaking — Importance 4.0 / 5; level 4.6 / 7.
  • Instructing — Importance 4.0 / 5; level 4.2 / 7.
  • Active Listening — Importance 3.9 / 5; level 4.2 / 7.

Abilities

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

  • Written Comprehension — Importance 4.3 / 5; level 4.8 / 7.
  • Oral Expression — Importance 4.2 / 5; level 4.9 / 7.
  • Oral Comprehension — Importance 4.1 / 5; level 4.9 / 7.
  • Written Expression — Importance 4.1 / 5; level 4.7 / 7.
  • Inductive Reasoning — Importance 3.9 / 5; level 4.0 / 7.

Common Job Activities

Day-to-day, linguistics and computer science graduates report doing:

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

Technology Skills Used on the Job

Most frequently-cited tools used by linguistics and computer science professionals:

Tool / Software Category In-Demand
Microsoft Excel Spreadsheet software
Microsoft PowerPoint Presentation software
Microsoft Office software Office suite software
Microsoft Word Word processing software
Microsoft Outlook Electronic mail software
Google Docs Word processing software
C++ Object or component oriented development software
C# Object or component oriented development software
Oracle Java Object or component oriented development software
Microsoft Access Data base user interface and query software
Blackboard software Data base user interface and query software
Adobe Photoshop Graphics or photo imaging software

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

Sample Job Titles

Real job postings for linguistics and computer science graduates include:

  • College Professor
  • Instructor
  • Lecturer
  • Assistant Professor
  • Associate Professor
  • University Faculty Member
  • College Faculty Member
  • Professor
  • Faculty Member
  • Adjunct Instructor
  • Computer Instructor
  • Information Security Systems Instructor
  • Computer Applications Instructor
  • C++ Professor
  • Information Systems Professor (IS Professor)

Education Typically Required

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

Education Level Share of Workers
Doctoral degree 35.0%
Master’s degree 32.7%
Bachelor’s degree 26.0%
Less than a high school diploma 3.1%
Associate’s degree (or other 2-year) 1.4%
Post-baccalaureate certificate 1.2%
Post-master’s certificate 0.4%
High school diploma or equivalent 0.1%
Post-doctoral training 0.1%
Postsecondary certificate 0.1%
Education levels for linguistics and computer science majors

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

Who Is Earning a Degree in linguistics and computer science?

Gender Distribution

This field has a relatively balanced gender distribution: 57.1% women and 42.9% men among linguistics and computer science graduates.

Gender Graduates Share
Women 4 57.1%
Men 3 42.9%

Racial-Ethnic Diversity

At the national level, the racial-ethnic distribution of linguistics and computer science graduates is as follows:

Racial-ethnic diversity of linguistics and computer science graduates
Race / Ethnicity Graduates Share
White 3 42.9%
Two or More Races 1 14.3%
Race Unknown 2 28.6%
International Students 1 14.3%

See minority definition below.

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

Program CIP Code
Multi Interdisciplinary Studies 30
Accounting and Computer Science 30.16
Anthrozoology 30.34
Behavioral Sciences 30.17
Biological and Physical Sciences 30.01
Biopsychology 30.10
Classical and Ancient Studies 30.22
Climate Science 30.35
Cognitive Science 30.25
Computational Science 30.30
Cultural Studies and Comparative Literature 30.36
Cultural Studies/Critical Theory and Analysis 30.26

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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