Schema stack

    Campus / Education Stack

    Campus or department pages with educational org, courses, instances, FAQs, and breadcrumb context.

    Included schema
    Educational Organization
    Course
    Course Instance
    Frequently Asked Questions
    Breadcrumb
    Fit

    When to use this stack

    • Campus/department hubs listing courses and cohorts
    • Program pages needing schedule clarity and navigation
    • Pages where FAQs clarify prerequisites, modality, and aid
    Composition

    What is included

    Data contract

    Properties across the bundle

    Nested properties keep their parent path, such as offers.priceCurrency. Only publish values that match visible page content.

    Required properties

    • address.addressCountry
    • courseMode
    • description
    • hasCourseInstance[].@id
    • itemListElement[].name
    • location.name
    • mainEntity[].@type=Question
    • mainEntity[].acceptedAnswer.text
    • name
    • provider.@id
    • startDate
    • url

    Recommended properties

    • address.addressLocality
    • address.addressRegion
    • courseCode
    • educationalCredentialAwarded
    • endDate
    • instructor.name
    • itemListElement[].item
    • learningResourceType
    • logo
    • mainEntity[].acceptedAnswer.text
    • mainEntity[].author.name
    • mainEntity[].name
    • offers.price
    • offers.priceCurrency
    • offers.url
    Copy-ready example

    Combined JSON-LD

    Paste this as one script tag, then replace every example value with data from the live page.

    [
      {
        "@context": "https://schema.org",
        "@type": "EducationalOrganization",
        "@id": "https://www.example.edu/departments/data#org",
        "name": "Example University — Data Science Dept",
        "url": "https://www.example.edu/departments/data",
        "logo": "https://www.example.edu/images/logo.png",
        "address": { "@type": "PostalAddress", "addressCountry": "US" }
      },
      {
        "@context": "https://schema.org",
        "@type": "Course",
        "@id": "https://www.example.edu/courses/data-101#course",
        "name": "Data Science 101",
        "description": "Intro to Python, stats, and data visualization.",
        "provider": { "@id": "https://www.example.edu/departments/data#org" },
        "hasCourseInstance": [
          { "@id": "https://www.example.edu/courses/data-101#spring" }
        ],
        "courseCode": "DATA101",
        "educationalCredentialAwarded": "Certificate"
      },
      {
        "@context": "https://schema.org",
        "@type": "CourseInstance",
        "@id": "https://www.example.edu/courses/data-101#spring",
        "name": "Spring 2026 — Data Science 101",
        "courseMode": "InPerson",
        "startDate": "2026-03-20",
        "endDate": "2026-06-10",
        "location": { "@type": "Place", "name": "Main Campus" },
        "instructor": { "@type": "Person", "name": "Dr. Priya Desai" },
        "offers": { "@type": "Offer", "price": "1200.00", "priceCurrency": "USD", "url": "https://www.example.edu/courses/data-101/apply" }
      },
      {
        "@context": "https://schema.org",
        "@type": "FAQPage",
        "mainEntity": [
          { "@type": "Question", "name": "Are there prerequisites?", "acceptedAnswer": { "@type": "Answer", "text": "No prerequisites. Familiarity with spreadsheets helps." } },
          { "@type": "Question", "name": "Is there financial aid?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Scholarships are available; see the apply page." } }
        ]
      },
      {
        "@context": "https://schema.org",
        "@type": "BreadcrumbList",
        "itemListElement": [
          { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://www.example.edu" },
          { "@type": "ListItem", "position": 2, "name": "Departments", "item": "https://www.example.edu/departments" },
          { "@type": "ListItem", "position": 3, "name": "Data Science", "item": "https://www.example.edu/departments/data" }
        ]
      }
    ]
    Workflow

    Implement and verify

    1. 01

      Start with the live page

      Confirm titles, prices, availability, policies, and visible FAQ content before generating markup.

    2. 02

      Add one JSON-LD script

      Use the combined example as a template in the document head or before the closing body tag.

    3. 03

      Complete regional details

      Fill shipping destinations and timing for every region the page actually serves.

    4. 04

      Link the return policy

      Use a stable MerchantReturnPolicy URL and keep its terms synchronized with the page.

    5. 05

      Match visible answers

      Add only FAQs that users can read on the same page, with identical answers.

    6. 06

      Validate after changes

      Run Rich Results Test after implementation and whenever price, availability, or policy data changes.

    Quality check

    Common errors and fixes

    • Missing currency or availability

      Use ISO currency codes and complete schema.org availability URLs in Offer data.

    • Incomplete shipping details

      Include shippingDestination.addressCountry and deliveryTime.transitTime with units.

    • Return policy is not connected

      Reference MerchantReturnPolicy from the Offer and provide a stable public policy URL.

    • FAQ answers differ from the page

      Keep structured FAQ answers identical to visible answers.

    Questions

    Stack FAQs

    Do I need CourseInstance for self-paced?

    Use CourseInstance for scheduled cohorts. For self-paced, omit CourseInstance and focus on Course.

    Can I list multiple courses?

    Include only courses visible on the page. For catalogs, see the Course Marketplace stack.

    Primary sources

    References