Business Analytics Capstone for MBA Graduate

WORK 601
Open Closing on March 26, 2025
University Canada West
Vancouver, British Columbia, Canada
Eva Peng
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Practicum Coordinator
6
Timeline
  • April 14, 2025
    Experience start
  • June 29, 2025
    Experience end
Experience
8 projects wanted
Dates set by experience
Preferred companies
Canada
Any company type
Any industries

Experience scope

Categories
Machine learning Data visualization Data analysis Data modelling Cloud technologies
Skills
power bi business analytics progress reporting analytical dashboard risk management
Learner goals and capabilities

The MBA Graduate Practicum Program (GPP) at University Canada West offers a unique Work-integrated Learning experience. In this program, employers have the opportunity to hire MBA students for roles that can be paid, unpaid, or stipend based. These positions require a commitment of 12-24 hours per week, aligning with the students' 12-week Capstone Experience Course (WORK-601). For the Spring 2025 Term, which runs from April 7th to June 29th, 2025, the program is set to place 8-10 students.


Students develop a robust skill set in business analytics, including data mining, statistical analysis, and advanced data visualization. They gain expertise in predictive modeling, machine learning, and artificial intelligence, applying these tools to solve business challenges. Proficient in Python, R, SQL, and cloud computing technologies, they handle large datasets and implement scalable solutions.


This capstone also emphasizes ethical data practices, preparing students to make responsible data-driven decisions. By integrating technical knowledge with business strategy, students are equipped to lead analytics projects that drive innovation and competitive advantage.


Participating in the MBA GPP presents employers with the opportunity to tap into a talent pool of seasoned MBA students. Employers can benefit from the fresh perspectives and up-to-date academic knowledge these students bring to tackle complex business challenges. 

Learners

Learners
Graduate
Beginner, Intermediate, Advanced levels
8 learners
Project
200 hours per learner
Educators assign learners to projects
Individual projects
Expected outcomes and deliverables

Deliverables will vary depending on the scope of the project, and might include

  • Comprehensive Data Analysis Report (PDF/Word)
  • Interactive Dashboard (Tableau/Power BI)
  • Presentation Deck (PowerPoint/PDF)
  • Weekly Progress Reports (Word/Email)


These deliverables will be structured to provide clear insights and actionable recommendations, ensuring that learners contribute tangible value to the employer while demonstrating their analytical skills.

Project timeline
  • April 14, 2025
    Experience start
  • June 29, 2025
    Experience end

Project Examples

Requirements

Our students are capable of working on different elements of Business Analytics, including but not limited to:

  • Design and maintain data management systems
  • Data collection/acquisition and management
  • Conducting primary and secondary research
  • Finding hidden patterns and forecasting trends using data (predictive analytics)
  • Enhancing customer segmentation
  • Make reports and update stakeholders based on analytics
  • Implementing real-time analytics dashboards
  • Optimizing pricing strategies
  • Sales performance analysis
  • Talent analytics and workforce optimization