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Computer science professor vs professor

The differences between computer science professors and professors can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a computer science professor, becoming a professor takes usually requires 1-2 years. Additionally, a professor has an average salary of $157,570, which is higher than the $89,803 average annual salary of a computer science professor.

The top three skills for a computer science professor include artificial intelligence, java and python. The most important skills for a professor are philosophy, curriculum development, and mathematics.

Computer science professor vs professor overview

Computer Science ProfessorProfessor
Yearly salary$89,803$157,570
Hourly rate$43.17$75.75
Growth rate12%12%
Number of jobs29,72021,861
Job satisfaction--
Most common degreeBachelor's Degree, 54%Bachelor's Degree, 52%
Average age4646
Years of experience42

Computer science professor vs professor salary

Computer science professors and professors have different pay scales, as shown below.

Computer Science ProfessorProfessor
Average salary$89,803$157,570
Salary rangeBetween $43,000 And $184,000Between $88,000 And $280,000
Highest paying CityLos Angeles, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyNew York UniversityOregon Health & Science University
Best paying industryEducationEducation

Differences between computer science professor and professor education

There are a few differences between a computer science professor and a professor in terms of educational background:

Computer Science ProfessorProfessor
Most common degreeBachelor's Degree, 54%Bachelor's Degree, 52%
Most common majorComputer ScienceBusiness
Most common collegeUniversity of PennsylvaniaNorthwestern University

Computer science professor vs professor demographics

Here are the differences between computer science professors' and professors' demographics:

Computer Science ProfessorProfessor
Average age4646
Gender ratioMale, 78.1% Female, 21.9%Male, 56.7% Female, 43.3%
Race ratioBlack or African American, 7.1% Unknown, 4.9% Hispanic or Latino, 10.1% Asian, 14.0% White, 63.6% American Indian and Alaska Native, 0.3%Black or African American, 7.2% Unknown, 4.9% Hispanic or Latino, 10.2% Asian, 12.8% White, 64.5% American Indian and Alaska Native, 0.3%
LGBT Percentage16%16%

Differences between computer science professor and professor duties and responsibilities

Computer science professor example responsibilities.

  • Develop Perl scripts to automate debugging processes
  • Involve in displaying and storing the vast teaching and learning resource material into database and accessing through PHP.
  • General instruction, class syllabus prep, testing, grading/implementing curricula while submitting quarterly reports on students progress to management.
  • Conduct tours and CCSD in-class Anatomy/Physiology presentations.
  • Provide direction and assessments for students in anatomy and physiology, chemistry, microbiology and biology through tutoring and supplemental materials

Professor example responsibilities.

  • Used blackboard online to manage students tests, grade papers and assign materials.
  • Instruct students in anatomy, physiology, medical terminology, college mathematics, and pharmacology math and dosage calculations.
  • Educate adult students in medical math, anatomy & physiology, business communications ,
  • Teach social science subjects including sociology, psychology and human services.
  • Mentore newly hire philosophy teachers on school culture as well as the program s academic requirements.
  • Prepare and deliver material to students on topics such as ethics, logic, and contemporary religious think.
  • Show more

Computer science professor vs professor skills

Common computer science professor skills
  • Artificial Intelligence, 14%
  • Java, 13%
  • Python, 11%
  • Curriculum Development, 11%
  • Software Engineering, 9%
  • Computer Programs, 4%
Common professor skills
  • Philosophy, 10%
  • Curriculum Development, 9%
  • Mathematics, 6%
  • C++, 5%
  • Literature, 5%
  • Graduate Courses, 4%

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