Career atlas + internship matcher

See the CS field.
Find your entry point.

Explore where computer science graduates work, then turn your current skills and available time into a realistic next project or internship.

CScareer
map
SoftwareITSystemsDataWebCybersecurity

8 directions · 25 skills · 1 next step

1.69Msoftware developer jobs
+33.5%data scientist outlook
2024–34BLS projection window
01

Career atlas

The field is wider than “coding.”

These eight directions cover the largest and fastest-growing technical occupations in current U.S. labor projections. Compare scale, momentum, and the kind of problems each path solves.

Employment in thousands · 2024

Source: U.S. Bureau of Labor Statistics, 2024 National Employment Matrix. “Web & UX” combines web developers and web/digital interface designers; its growth rate is employment-weighted.

02

Fit matcher

Turn possibility into a next move.

1. Pick a direction2. Mark real skills3. Get ranked next steps
YOUR RANKING

Best next experiences

Data & AI · 8h/week · 3 skills

Top recommendationUndergraduate Research Programmer

Close 2 core skill gaps to become a stronger candidate.

01
Computational Discovery Group · Research Computing

Undergraduate Research Programmer

57FIT

Use code to investigate a focused scientific question.

READY NOW

Python · Technical writing

SKILL GAP

Statistics · Data structures

YOU WILL LEARN

Literature review · Reproducibility · Scientific computing

Your 7-day first step

Reproduce one figure from an open-access research paper.

Portfolio outcome

A reproducible notebook and short research poster

02
Responsible ML Collective · Data & AI

Applied AI Product Fellow

56FIT

Evaluate where an AI feature helps—and where it fails.

READY NOW

Python

SKILL GAP

Statistics · Model evaluation · Product thinking

YOU WILL LEARN

Experiment design · Evaluation datasets · AI product metrics

Your 7-day first step

Compare two small models on a 30-example evaluation set.

Portfolio outcome

A reproducible model evaluation and product recommendation

03
Community Infrastructure Team · IT Support

Developer Support & Automation Intern

55FIT

Turn repeated technical problems into clear, scalable solutions.

READY NOW

Technical writing · Python

SKILL GAP

Linux · Databases

YOU WILL LEARN

Root-cause analysis · Support operations · Automation

Your 7-day first step

Write a decision-tree guide for one issue you have solved.

Portfolio outcome

A troubleshooting knowledge base plus one automation script

04
Digital Services Lab · Systems & Product

Technical Product Analyst

51FIT

Translate user pain points into a feasible system improvement.

READY NOW

Technical writing

SKILL GAP

Product thinking · User research · APIs · Critical thinking

YOU WILL LEARN

Requirements · Systems mapping · Prioritization

Your 7-day first step

Interview three users and diagram the current workflow.

Portfolio outcome

A product requirements document backed by user evidence

05
Accessible Web Initiative · Web & UX

Frontend UX Engineering Intern

43FIT

Improve a real interface through design, code, and user testing.

READY NOW

Git & GitHub

SKILL GAP

JavaScript / TypeScript · UI / UX · User research

YOU WILL LEARN

Accessibility · Design systems · Usability testing

Your 7-day first step

Audit one public page with Lighthouse and keyboard navigation.

Portfolio outcome

An accessible interface with before-and-after usability evidence

03

How it works

Transparent by design.

50%

Skill evidence

Required skills you can already demonstrate—not skills you have merely heard of.

30%

Direction fit

Direct and adjacent paths receive different weights, so transferable careers remain visible.

20%

Time realism

The weekly commitment is compared with the time you can consistently protect.

Principle

Use labor data to understand the market. Use your own evidence to choose the next experiment.

Evidence base

Built on occupational data, not career stereotypes.

Why this exists

“Do not choose a title first. Choose the problems, skills, and evidence you want to compound.”

Built as a product case study by Grace Huang, a computer science undergraduate exploring AI products, software engineering, and open source.

This is a directional learning tool, not a hiring predictor. Its next version can add live internships, saved profiles, and application tracking.