PlotFuture PlotFuture
PlotFuture / Careers / Computer Science Teachers, Postsecondary

Computer Science Teachers, Postsecondary

Also known as: Assistant Professor, Associate Professor, Computer Information Systems Instructor (CIS Instructor), Computer Science Instructor, Computer Science Professor
median $96,98010-yr demand +5.3%AI exposure 24/100typical entry Doctoral or professional degree
Computer Science Teachers, Postsecondary is well paid, AI barely touches it so far, and demand is growing.

The full pay distribution

Not one number — the spread from the bottom 10% to the top 10% of filed salaries.

Where it pays the most

Median salary by metro — the bar in amber is the U.S. median for comparison.

How pay grows with experience

From entry to expert, by reported wage level.

How exposed is it to AI?

Two things matter: how much AI is actually used in the role today (right), and how much it could automate in theory (up). AI is already widely used here.
Each faint dot is another occupation. The amber dot is Computer Science Teachers, Postsecondary — its position tells you whether the disruption is here yet or still over the horizon.
used today 24/100 automatable in theory 51/100 archetype The Epicenter

Which majors lead here

College paths that commonly feed this career — see each one's full outcomes.
Computer And Information Sciences, General
CIP 11.01
see major →
Computer Programming
CIP 11.02
see major →
Information Science/Studies
CIP 11.04
see major →
Computer Systems Analysis
CIP 11.05
see major →
Computer Science
CIP 11.07
see major →
Computer Software And Media Applications
CIP 11.08
see major →
Computer Systems Networking And Telecommunications
CIP 11.09
see major →
Teacher Education And Professional Development, Specific Subject Areas
CIP 13.13
see major →
Mathematics And Computer Science
CIP 30.08
see major →
Accounting And Computer Science
CIP 30.16
see major →
Computational Science
CIP 30.30
see major →
Human Computer Interaction
CIP 30.31
see major →
How this is built. Median pay and the full distribution come from filed U.S. wage data (BLS OEWS + DOL/LCA filings); AI exposure blends O*NET task content with model-based automation potential; escape routes are computed from skill overlap between occupations, then ranked by how much safer + better-paid the move is. This joins real distributions and projects them forward — it needs the real distributions and the skill graph, not a guess. Figures describe group medians and trends, not any one person's outcome.