George Brown College
George Brown College
Toronto, Ontario, Canada
Description

Where job skills meet people skills. Earn diplomas, degrees and graduate certificates in downtown Toronto.

Recent experiences

Paid

Data Analysis in Action

Flexible

This experience offers learners the opportunity to apply their data analysis skills in real-world scenarios, guided by two experienced professors. Participants will work collaboratively to interpret data, identify trends, and provide actionable insights. By engaging with industry projects, learners will enhance their ability to translate classroom knowledge into practical solutions, preparing them for future roles in data-driven environments. These students are the top 5% business department students of the GBC.

Admin Richard Boire
Matches 4
Category Artificial intelligence + 4
Open Closing on January 1, 2026

George Brown College Health Informatics Internship Program Fall 25

T402

Sep 12, 2025 - Dec 8, 2025

Students will work in teams of 1-4 and spend 240 hours per student to understand and tackle the problem of your choosing. Students will provide a document and presentation summarizing their findings as well as provide knowledge transfer to your organization. In terms of the students' interests in placements, they are looking for opportunities in product support, project coordinator, business analyst (gathering requirements, workflow design, and improvement), QA tester, training users in HIT, and privacy analyst. They are open to other opportunities as well.

Admin Thérèse Bernier
Matches 4
Category Public health + 4
Open Closing on September 3, 2025

Empowering Future Supply Chain Leaders through Real-World Collaboration Spring 2025

MGMT4103

May 20, 2025 - Aug 1, 2025

Overall Info: Welcome to George Brown College's Experiential Learning Program, where we bridge the gap between academia and industry by offering students hands-on experiences with real-world projects. Our MGMT4103 course focuses on Supply Chain Management, a critical aspect of modern business operations. Our students are eager to apply their theoretical knowledge to practical situations, under the mentorship of industry professionals like yourself. This course is a field focused, student centric project. Students learn through applied field-experience, being designated as a Supply Chain Analyst for a real-world client. Steps for Matching: Step 1: Match Request Submission: As an employer, you'll submit a match request outlining your project. We'll then schedule a video call to discuss the project's suitability and alignment with our learning objectives. Step 2: Pre-Approval: Upon mutual agreement, both parties will confirm the match on the Riipen platform, marking the project as pre-approved. Step 3: Students Choosing: The pre-approved project will be made available for our students to select based on their interests and skills. Step 4: Collaboration Starts: All communication and collaboration will be facilitated through the Riipen platform, ensuring transparency and efficiency. Ideal Partner: We're seeking partners from volunteer placement activities within community, government, or private organizations. Ideal projects involve real-world challenges that align with our course objectives and provide students with valuable learning opportunities.

Admin Sam Lampropoulos
Matches 8
Category Operations + 3
Closed

Generative AI for Supply Chain Decision Making - Summer 2025

B429

May 16, 2025 - Aug 2, 2025

Welcome to George Brown College's Experiential Learning Program. This experience focuses on leveraging generative AI technologies to enhance decision-making processes within supply chain management. We are seeking companies that plan to apply the advantages of Generative AI (GenAI) to their supply chain management decision processes and would like to provide the opportunity for my students from B429 (post-graduate Supply Chain Management Program) to explore how a company can make successful decision in the era of disruptive and uncertain supply chain management. Our students from Supply Chain Management Program have been successfully trained with the principles, methodologies and well-rounded data analytics skills for supply chain improvements. They will apply GenAI advantages to your business decision makings. The students will benefit so much from identifying the pain points of the business processes, from the journey of building business solutions as well as implementing the solutions for clients. Steps for Matching: Step 1: Match Request Submission: As an employer, you'll submit a match request outlining your project. We'll then schedule a video call to discuss the project's suitability and alignment with our learning objectives. Step 2: Pre-Approval: Upon mutual agreement, both parties will confirm the match on the Riipen platform, marking the project as pre-approved. Step 3: Students Choosing: The pre-approved project will be made available for our students to select based on their interests and skills. Step 4: Collaboration Starts: All communication and collaboration will be facilitated through the Riipen platform, ensuring transparency and efficiency.   Ideal Partner: We're seeking partners from retail, wholesale, distribution industries, B2B, B2C, 3PL, 4PL, manufacturers, global sourcing companies. Ideal projects should involve real-world operational fact data. We will let the data speak.

Admin Dr. William Wang
Matches 3
Category Sales strategy + 4
Closed

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