What Can You Do With a Computer Science Degree?

This degree is designed to teach you the fundamentals of the field and prepare you for a successful transfer or career launch. Work with your advisor to choose the electives that match your goal. Your degree becomes a foundation for a career as a:

  • Information scientist
  • Computer and information systems manager
  • Computer hardware engineer
  • Computer network architect
  • Computer programmer
  • Database administrator
  • Information security analyst
  • Software developer
  • Tech executive

Growing Careers

Technology changes. Networking options shift. We learn more and more about data and the ways we store and tap into it. Choose to start your career after your AS and you’ll start with the skills companies need to survive and grow.

Continue Learning

Keep going after your associate degree. Get certified in a specialty. Earn your bachelor’s or more. Become a pioneer in information science. Invent what’s next. The tech sector changes and always needs fresh minds in computer science.

Your Computer Science AS Program Map

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Notes: Additional courses need to meet prerequisites: CIS 070A, CS 073, MATH 012.  

Example electives shown; other courses are available. Consider taking PS 001 to meet American Institutions requirement. If you’re transferring to a UC, you may need a foreign language. Download a PDF Program Map

Computer Science AS: What to Expect

  • Completion Requirements
    • 28 units of required courses
    • 60 total units
    • A grade of C or higher in all required courses
    • Minimum grade point average of 2.0
  • Required Courses

    Introduction to Computer Science (CS 073) | 3.00

    Visual Basic Programming I (CS 086) | 3.00

    Assembler Language Programming (CS 087) | 3.00

    C++ Programming I (CS 089) | 3.00

    C++ Programming II (CS 089A) | 3.00

    Multivariate Calculus (MATH 002A) | 5.00

    Physics for Scientists and Engineers (PH 004A) | 4.00

    Physics for Scientists and Engineers (PH 004B) | 4.00

  • What You Learn
    1. Ethical, mathematical, and physical computer science concepts.
    2. The evolution of computer science.
    3. How to create complex and effective computer programs to solve real world problems.

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