This course provides students with the opportunity to apply the different skills and knowledge they have learned throughout the Global Logistics Management Professional Development Certificate program, in a real-world setting .Working in pre-assigned teams, students will deliver a set of specific deliverables outlined by the partner agency to help organizations deliver on their operational objectives. Teams will compete to deliver the best product for the same project. Several teams of 3 to 4 students will work on the project so the Community Partner will receive multiple sets of recommendations.

We are seeking project submissions for a course-based WIL project in Professional Communication on a business analysis topic. Please note that there is no financial cost associated with your participation. Instead, we seek your invaluable commitment in the form of time and expertise. This course will provide students with an opportunity to apply the different skills and knowledge they have learned throughout the program in a real-world setting.  Working in pre-assigned groups, students will deliver a set of standard business analysis deliverables, as well as specific deliverables outlined by the partner agency. A real ongoing project has been written as a case study and is used in class to be analyzed by the students. An external project advisor provides guidance and coaching to the teams as they develop their work plans and deliverables.  Groups will compete to deliver the best product for the same project.  At the end students present their findings to the partner agency.

This applied statistics project connects your organization with upper-year undergraduate students trained in data science and multivariate analysis. Students will use advanced statistical techniques and machine learning algorithms to uncover actionable insights from a dataset you provide. Working in small, self-assigned teams, students will apply techniques such as Principal Component Analysis (PCA), clustering, and discriminant analysis to explore data patterns, reduce dimensionality, and identify drivers of key outcomes. The focus is on real-world application and communication of findings in a clear, stakeholder-ready format.   Student Capabilities Pre-existing skills: Statistical computing and data visualization in R Matrix algebra and multivariate statistical foundations Data cleaning, wrangling, and exploratory analysis Skills developed through the project: Principal Component and Factor Analysis Discriminant and Cluster Analysis Canonical Correlation Machine Learning Applications (e.g., classification, unsupervised learning) Executive communication and stakeholder storytelling Team-based project management How Students Will Support Your Organization Students will: Analyze a clean, pre-prepared dataset provided by your organization Apply multivariate and machine learning methods to uncover patterns, trends, and relationships Visualize results using compelling charts and summaries in R Translate complex findings into clear, actionable insights for non-technical stakeholders Work collaboratively with you to ensure alignment on project goals and outcomes Time Commitment 25 hours per student (approx. 100 hours per team of 4) Minimal lift for your organization: Provide a clean dataset and brief background at project start Optional mid-point check-in Attend final presentation and offer feedback

Political Science Field Placement Program A political science field placement course offers students the opportunity to apply their academic understanding of political systems, public policy, and governance by completing a placement within a related workplace. Political science majors are well-prepared to contribute across a range of sectors, including public administration, non-profit advocacy, policy analysis, and international relations. During the placement, students bring strong research and analytical skills, an understanding of governance structures, and the ability to work both independently and collaboratively. Employers can expect students to provide valuable insights, adapt quickly, and bring fresh perspectives to policy and political challenges. Skills: Technical Skills: Policy analysis and research methodology Data analysis and visualization Understanding of governance, political theory, and legislative processes Soft Skills: Critical thinking and problem-solving for policy issues Effective written and verbal communication, particularly in public and policy contexts Team collaboration and project management skills, including deadline management and organization