Master Business Forecasting with Real-World Application

Join professionals who've learned to navigate market uncertainty through data-driven forecasting methods that actually work in practice

How Our Students Learn Forecasting

We've refined our teaching method through years of working with finance professionals who needed practical skills, not just theory

1

Foundation Building

Start with core statistical concepts that underpin reliable forecasting. We cover regression analysis, time series fundamentals, and data quality assessment using real Canadian market data from the past five years.

2

Model Development

Learn to build forecasting models using Excel and specialized software. Students work through actual case studies from retail, manufacturing, and service industries operating in Canada.

3

Validation & Testing

Discover how to test model accuracy and identify when forecasts might be unreliable. This phase focuses on back-testing methods and understanding forecast confidence intervals.

Eight-Month Certificate Program Starting Fall 2025

  • Monthly workshops covering different forecasting techniques and their business applications
  • Hands-on projects using actual data from Canadian companies across various sectors
  • Small cohort sizes with direct instructor feedback on your forecasting models
  • Access to professional forecasting software and comprehensive data sets
  • Final capstone project developing forecasts for your own organization or chosen case study
Students analyzing business data and forecasting models in classroom setting

Program Outcomes from 2024 Graduates

These numbers reflect feedback from our most recent certificate program completers

89% Applied Skills at Work
156 Hours of Instruction
24 Real Business Cases
4.7 Average Rating

What Recent Graduates Say

Student Project Highlights

These capstone projects demonstrate the practical application of forecasting methods learned in our program

Seasonal Demand Forecasting for Outdoor Equipment

Miranda developed a forecasting model for a Quebec-based outdoor gear retailer, incorporating weather patterns and tourism data to predict seasonal inventory needs.

Result: 23% reduction in overstock situations during winter months

Emergency Department Staffing Model

A hospital administrator created staffing forecasts using historical patient flow data, seasonal illness patterns, and local demographic changes to optimize scheduling.

Result: Improved patient wait times while reducing overtime costs

Supply Chain Disruption Planning

An operations manager built models to predict potential supply delays based on economic indicators and transportation data, creating contingency plans for critical components.

Result: Better preparation for supply chain volatility in 2024

Ready to Start Learning?

Our next certificate program begins in September 2025. Applications open in May, and we typically fill our 20 spots by mid-summer.