Career Recommendations

Match every student to high-fit roles and skills—then map the courses, micro-credentials, and experiences that raise employability and confidence.

Skills graph from CDM Labor-market aligned Gap analysis & micro-credentials Advisor & career services loop
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At a glance
  • 🧠 Role & skills match from coursework, projects, and interests
  • 🧩 Gap analysis → recommended courses, badges, internships
  • 📈 Real-time market signals (demand, salary range, growth)
  • 🗺️ Personalized “career pathway” with milestones & nudges
  • 🤝 Advisor/career coach feedback and approvals

What it is

A career-matching engine that learns from each student’s academic history, projects, interests, and strengths to recommend roles and the concrete steps to become competitive.

What it does

Builds a live skills profile from the Common Data Model, aligns it to labor-market taxonomies, identifies gaps, and suggests courses, micro-credentials, and experiences—plus sample resumes and outreach templates.

Key capabilities

Skills graph from coursework
Extracts demonstrable skills from courses, grades, projects, LMS artifacts, and extracurriculars; lets students add experiences.
Labor-market alignment
Maps skills to roles, industries, and growth outlook using normalized occupation taxonomies and public labor data.
Gap analysis & remediation
Identifies missing competencies and recommends courses, micro-credentials, workshops, and projects to close gaps.
Career pathway planner
Milestone plan with target dates: complete X course, earn Y badge, apply to Z internship—nudges keep momentum.
Artifacts & applications
Drafts tailored resume bullets, cover letters, and networking messages based on verified coursework and projects.
Advisor & career coach loop
Advisors review suggestions, add local opportunities, and approve milestones; students see rationale and next steps.
Preview a career pathway Pair with Major Exploration

High-impact use cases

Exploration to action
Turn “I’m not sure” into a short list of roles with steps and sample artifacts.
Internship readiness
Gap-to-intern plan with deadlines; auto-generated resume bullets from projects.
Career pivots
For transfers and late switchers, align remaining courses to target roles efficiently.
Micro-credential strategy
Recommend badges with the highest local employer signal; avoid noisy credentials.
Equity & access
Transparent reasoning and flexible alternatives help students without strong networks.
Alumni upskilling
Provide alumni with role-based upskilling paths and continuing-ed offerings.

Outcomes you can measure

Improved placement
Higher internship and first-destination rates with evidence-based preparation.
Shorter time-to-apply
Students move from exploration to applications faster with ready artifacts.
Stronger employer signal
Micro-credentials and projects are chosen for market relevance, not noise.
Advisor capacity
Automation drafts materials; advisors focus on coaching and networks.

Integrations

Connects to student and market data to keep recommendations real and current.

SIS & LMS (coursework, grades, artifacts)
CRM (advising & career notes)
Career services / job boards
Labor-market datasets (public)
We also support custom connectors via APIs, SFTP, and events.

Human-centered, fair, and private

AI augments, people decide
  • Students and advisors approve plans and artifacts before use
  • Transparent rationale for role matches and micro-credential picks
  • Appeal and override options with comments and version history
Security & fairness
  • RBAC, least-privilege access, audit logs on generated artifacts
  • Bias checks across programs/cohorts; PII minimization
  • Aligned to FERPA/GDPR and institutional data-sharing rules

Implementation timeline

Week 1
Skills graph setup
Map courses → skills; load public role/skills data.
Weeks 2–3
Model calibration
Tune match thresholds; define micro-credential catalog and priorities.
Week 4
Pilot launch
Select cohorts (juniors/seniors); gather advisor feedback.
Week 5+
Scale & optimize
Expand programs; track applications, offers, and first-destination outcomes.
Get a pilot checklist Review privacy & security

FAQs

We combine your CDM-derived skills with public taxonomies and labor-market indicators to keep recommendations current and relevant.

Yes—programs can whitelist preferred badges, set priorities, and add department-approved projects or portfolios.

No—AI streamlines discovery and paperwork drafts. Career advisors and faculty provide coaching, networks, and final approvals.

Yes—students control resume uploads and optional artifacts; access is governed by RBAC and logged for audit.

Selected roles and skills feed Academic Planning to prioritize courses and certificates that improve employability.

Ready to align programs with real careers—and give students a clear plan to get hired?

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