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Computer Science Teacher

Teach programming and computer science in high schools or colleges.

teachingeducationprogrammingmentoring
Start with: STEM Foundations: The Universal Skill StackTake the career survey

Career facts

Preparation
Extensive preparation needed · most need graduate school
Ways in
  • Bachelor's degree
  • Industry certification
Field
Design, management & teaching

About this career

Computer science teachers plan lessons on programming, algorithms and how computers work, run classroom coding projects, grade student code and advise clubs or competitions. They teach in languages such as Python or Java using online coding platforms and learning management systems. High school roles need a bachelor's degree and a state teaching license; college roles usually need a master's degree or PhD.

Learning path

Take these courses in order, from beginner to mid-level.

  1. Step 1: STEM Foundations: The Universal Skill Stack

    The shared base every STEM career uses: working with numbers and units, testing ideas fairly, handling data and code, and explaining your work.

    Level: Beginner4 modules · 12 lessons · 7h 18mAlso used in 34 other careers

  2. Step 2: Digital Literacy for Tech & STEM Work

    The everyday computer, internet, safety and AI skills every tech and STEM job assumes you already have.

    Level: Beginner4 modules · 12 lessons · 6h 8mAlso used in 34 other careers

  3. Step 3: HTML & CSS Foundations

    Learn how the web works and build, style and publish your own responsive website with semantic HTML and modern CSS.

    Level: Beginner4 modules · 14 lessons · 11h 9mAlso used in 8 other careers

  4. Step 4: JavaScript Essentials

    The programming language of the web: variables, functions, the DOM, arrays and objects, and fetching data from APIs.

    Level: Beginner4 modules · 13 lessons · 8h 16mAlso used in 7 other careers

  5. Step 5: Professional Communication & Teamwork

    Write clear emails and documents, present and run meetings, work well on teams, and navigate résumés, interviews and networking.

    Level: Beginner4 modules · 12 lessons · 7h 24mAlso used in 34 other careers

  6. Step 6: Math for Tech & STEM

    The practical math behind tech and STEM work: numbers, algebra, functions, geometry, logic and counting, with short code exercises.

    Level: Beginner5 modules · 15 lessons · 7h 32mAlso used in 34 other careers

  7. Step 7: Git & the Command Line

    Use the terminal with confidence, track your work with Git, and collaborate on GitHub with pull requests.

    Level: Beginner3 modules · 9 lessons · 5h 57mAlso used in 15 other careers

  8. Step 8: Python Fundamentals

    Learn to program in Python from zero: values, decisions, loops, functions, data structures, files, modules and a small data project.

    Level: Beginner5 modules · 15 lessons · 9h 53mAlso used in 22 other careers

  9. Step 9: Foundations for Software, Data, Design & Tech Education Careers

    Understand tech roles and career ladders, pick a realistic learning route, build portfolio evidence, and navigate postings, interviews and your first 90 days.

    Level: Beginner3 modules · 9 lessons · 7h 22mAlso used in 20 other careers

  10. Step 10: Data Structures & Algorithms

    Measure efficiency with Big-O, then use searching, sorting, hash maps, stacks, linked lists, trees, graphs and dynamic programming in Python.

    Level: Intermediate4 modules · 12 lessons · 7h 37mAlso used in 7 other careers

  11. Step 11: Instructional Design & How People Learn

    Use the science of learning to design lessons, objectives, materials and assessments that actually change what people can do.

    Level: Intermediate4 modules · 12 lessons · 7hAlso used in 1 other career

  12. Step 12: Teaching Computer Science

    Teach programming well: diagnose novice misconceptions, use PRIMM, pair programming and Parsons problems, plan standards-aligned units, assess code fairly and navigate teacher certification.

    Level: Mid-level3 modules · 9 lessons · 5h 11m

Skills you'll build

Python

A beginner-friendly, general-purpose language popular in data, AI, and scripting.

JavaScript

The programming language of the web. Runs in browsers and on servers (via Node.js).

Data Structures

How data is organized in memory — lists, trees, graphs, hash maps. Underpins everything.

Algorithms

Step-by-step procedures for solving problems efficiently. Show up in every interview.

Problem Solving

Breaking big, vague problems into small concrete steps. The most transferable skill in tech.

Git

The version-control tool every software team uses to track and merge changes.

Free resources to get started

Hand-picked courses and reading from trusted free providers.

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