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Computational Science

Computational Science

Types of Degrees Computational Science Majors Are Earning

Those studying Computational Science may pursue degrees at several award levels.

Award Level Graduates
Associate’s Degree 19
Bachelor’s Degree 431
Master’s Degree 1,862
Doctor’s Degree 83

What Computational Science Majors Need to Know

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

Knowledge Areas

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

  • Computers and Electronics — Importance 4.4 / 5; level 5.6 / 7.
  • English Language — Importance 3.9 / 5; level 4.4 / 7.
  • Customer and Personal Service — Importance 3.6 / 5; level 4.3 / 7.
  • Mathematics — Importance 3.4 / 5; level 4.3 / 7.
  • Administration and Management — 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 Computational Science program reflects the day-to-day work of related occupations: Skills for Computational Science majors

  • Reading Comprehension — Importance 3.9 / 5; level 4.3 / 7.
  • Critical Thinking — Importance 3.9 / 5; level 4.1 / 7.
  • Active Listening — Importance 3.8 / 5; level 4.0 / 7.
  • Writing — Importance 3.7 / 5; level 4.0 / 7.
  • Speaking — Importance 3.7 / 5; level 4.0 / 7.

Abilities

Abilities most relevant to Computational Science careers — again drawn from O*NET surveys of related occupations: Abilities for Computational Science majors

  • Oral Comprehension — Importance 4.0 / 5; level 4.4 / 7.
  • Written Comprehension — Importance 4.0 / 5; level 4.4 / 7.
  • Oral Expression — Importance 3.9 / 5; level 4.4 / 7.
  • Deductive Reasoning — Importance 3.8 / 5; level 4.0 / 7.
  • Inductive Reasoning — Importance 3.8 / 5; level 3.9 / 7.

Common Job Activities

Day-to-day, Computational Science graduates report doing:

Activity Frequency / Importance
Working with Computers 4.7 / 7
Getting Information 4.5 / 7
Processing Information 4.2 / 7
Analyzing Data or Information 4.2 / 7
Making Decisions and Solving Problems 4.2 / 7
Updating and Using Relevant Knowledge 4.2 / 7
Communicating with Supervisors, Peers, or Subordinates 4.2 / 7
Organizing, Planning, and Prioritizing Work 4.0 / 7
Identifying Objects, Actions, and Events 3.9 / 7
Documenting/Recording Information 3.9 / 7

Technology Skills Used on the Job

Most frequently-cited tools used by Computational Science professionals:

Tool / Software Category In-Demand
Microsoft Office software Office suite software
Microsoft Excel Spreadsheet software
Microsoft PowerPoint Presentation software
Microsoft Access Data base user interface and query software
Oracle Java Object or component oriented development software
Python Object or component oriented development software
Linux Operating system software
C++ Object or component oriented development software
C Development environment software
UNIX Operating system software
C# Object or component oriented development software
Structured query language SQL Data base user interface and query software

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

Sample Job Titles

Real job postings for Computational Science graduates include:

  • Instructor
  • Faculty Member
  • Computer Technology Instructor
  • Associate Professor
  • Assistant Professor
  • Adjunct Instructor
  • Lecturer
  • Cloud Engineer
  • Engineer
  • Systems Engineer
  • Data Analyst
  • Java Programming Professor
  • Information Security Systems Instructor
  • College Professor
  • Computer Instructor

Education Typically Required

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

Education Level Share of Workers
Bachelor’s degree 46.1%
Master’s degree 18.2%
Doctoral degree 9.4%
Associate’s degree (or other 2-year) 9.1%
Postsecondary certificate 7.1%
Some college courses 3.4%
Post-baccalaureate certificate 3.0%
High school diploma or equivalent 1.6%
Post-master’s certificate 0.9%
Post-doctoral training 0.8%
Less than a high school diploma 0.5%
Education levels for Computational Science majors

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

Who Is Earning a Degree in Computational Science?

Gender Distribution

This field skews predominantly male, with men earning 65.2% of Computational Science degrees.

Gender Graduates Share
Women 834 34.8%
Men 1,561 65.2%

Racial-Ethnic Diversity

At the national level, the racial-ethnic distribution of Computational Science graduates is as follows:

Racial-ethnic diversity of Computational Science graduates
Race / Ethnicity Graduates Share
White 650 27.1%
Asian 247 10.3%
Hispanic or Latino 143 6.0%
Black or African American 46 1.9%
Native Hawaiian / Pacific Islander 2 0.1%
Two or More Races 52 2.2%
Race Unknown 73 3.0%
International Students 1,182 49.4%

See minority definition below.

How Much Do Computational Science Graduates Earn?

College Scorecard reports median earnings of Computational Science graduates 1, 4, and 5 years after completion. These numbers tend to grow steadily as graduates gain experience and move into mid-career roles.

Years Out Median Earnings
1 year $104,307

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

Online Computational Science Programs

Online study are documented by IPEDS for Computational Science. 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
Bachelor’s 5 3
Master’s 11 8

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 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
Cultural Studies and Comparative Literature 30.36
Cultural Studies/Critical Theory and Analysis 30.26
Data Analytics 30.71

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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