Ontario publicly assisted university non-degree program classifications
This table allows you to find a list of non-degree programs identified by publicly assisted universities which align to Statistics Canada’s Classification of Instructional Programs (CIP) (2021). The programs are listed by essential details such as program titles and program information. This table will be helpful if you need to identify a CIP code for a specific non-degree program offered by a publicly assisted university. Below are some helpful definitions: * Designated Learning Institution (DLI): A DLI is a school approved by a provincial or territorial government to host international students. Each school and campus has a unique DLI number. To apply for a study permit, a student needs an acceptance letter from a DLI. * Unique ID: A code the postsecondary institution assigns that is unique to each program. * Classification of Instructional Programs (CIP) Canada: Statistics Canada uses the CIP to classify postsecondary educational programs according to a field of study. It is the official, national standard for the organizing, collecting, processing, disseminating and analyzing field of study statistics.
Datasets available for download
Additional Info
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| Last Updated | October 20, 2025, 02:09 (UTC) |
| Created | October 20, 2025, 02:09 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Society |
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Title
Title for the Dataset.
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Ontario publicly assisted university non-degree program classifications |
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Description
A description of the dataset.
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This table allows you to find a list of non-degree programs identified by publicly assisted universities which align to Statistics Canada’s Classification of Instructional Programs (CIP) (2021). The programs are listed by essential details such as program titles and program information. This table will be helpful if you need to identify a CIP code for a specific non-degree program offered by a publicly assisted university. Below are some helpful definitions: * Designated Learning Institution (DLI): A DLI is a school approved by a provincial or territorial government to host international students. Each school and campus has a unique DLI number. To apply for a study permit, a student needs an acceptance letter from a DLI. * Unique ID: A code the postsecondary institution assigns that is unique to each program. * Classification of Instructional Programs (CIP) Canada: Statistics Canada uses the CIP to classify postsecondary educational programs according to a field of study. It is the official, national standard for the organizing, collecting, processing, disseminating and analyzing field of study statistics. |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2025-05-22 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Open Government Licence – Ontario |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://open.canada.ca/data/en/dataset/75e3cbbf-bee2-45f9-b8f3-8466b14072c9 |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Government of Ontario | Gouvernement de l'Ontario |
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Contact Point
Who to contact regarding access?
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Colleges and Universities |
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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