- Description
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Founded in 1956, the Council of Independent Colleges (CIC) is an association of nonprofit independent colleges and universities, state-based councils, and higher education affiliates that works to support college and university leadership, advance institutional excellence, and enhance public understanding of independent higher education’s contributions to society.
CIC is the major national organization that focuses on providing services to leaders of independent colleges and universities and state-based councils. CIC offers conferences, seminars, publications, and other programs and services that help institutions improve educational quality, administrative and financial performance, student outcomes, and institutional visibility.
CIC and Riipen have joined forces in a multi-year work-based learning initiative to benefit 25 member institutions. This collaboration will integrate work-based learning opportunities into up to 375 courses led by 125 faculty members and impacting up to 11,250 students.
- Portal website
- https://learn.riipen.com/cic-wbl
Subportals experiences
Cultural Safety in Healthcare: Collaborating with Indigenous Communities
This experience involves second-year nursing students who are focusing on cultural safety practices, particularly in relation to First Nations or Native American communities. These learners are equipped with foundational knowledge in nursing and are developing skills to understand and respect cultural differences in healthcare settings. By engaging in projects with industry professionals, students can apply their classroom learning to real-world scenarios, enhancing healthcare delivery through culturally sensitive practices.
Data Analytics in Business (F 2025)
Looking to elevate your organization, and bring it to the next level? Bring on students from Mercy University to be your student-consultants, in a project-based experience. Students will work on one main data analysis-visualization project over the course of a term, connecting with you as needed with virtual communication tools. Students in this program focus on the collection of, and analysis of, data. They learn how to objectively manipulate data into useable data sets, including visual data analytics to help make data backed decisions for more thorough analysis, and use predictive modelling to ascertain future patterns and trends.
IT Security Policy Review and/or Development
CSC 445
Project Summary: Looking to elevate your organization, and bring it to the next level? Bring on learners from Concordia College to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools. Learners in this program/experience will research IT security policies at similar companies based on size and type, making recommendations accordingly. We will deliver our recommendations in a format that the employer deems most appropriate (presentation, paper, report) What can our learners do for your company? Learners in groups of 2-3 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis. Project activities that learners can complete may include, but are not limited to: identifying the vulnerabilities that exist in computing systems and computing networks identifying common human factors that can increase exposure of computing systems to risk suggesting standard technological solutions for securing computing systems and networks suggesting standard educational measures to avert vulnerabilities caused by human factors
Computational Data Analysis
CISC 540
Looking to elevate your organization, and bring it to the next level? Bring on learners from Mercy University to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools. Learners in this program/experience will use practical application of Python libraries for storing, manipulating, and analyzing data. Students will become proficient in popular packages such as IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn, among others. Through hands-on practice and projects, students will learn how to manipulate, transform, and clean data; visualize various types of data; and build basic statistical (Exploratory Data Analysis) or machine learning models (regression, etc.).