Graduate Outcomes
What Grads Achieve
- $47
Avg. wage/hr - $79
High wage/hr
Source: workingincanada.gc.ca. NOC Code: 11202 — wage data rounded down to the nearest dollar. Average wage doesn’t reflect the starting salary but represents the middle value between lowest and highest wages. Local (or regional) income may vary. Last updated March 2025.
More Than a Diploma
You’ll Graduate With
- Eligible to pursue
the CompTIA DataX certification - Two capstone projects
(AI Capstone + Data Analysis and Visualization Capstone) - Hands-on training
in Python, SQL, machine learning, and computer vision - 8-week internship
for applied industry experience
Program Overview
What You'll Study
Combine technical training in Python, SQL, and machine learning with applied capstone projects to prepare for a career in data and AI.
- Python and SQL for data analysis, plus data visualization and analytics
- Machine learning and predictive analytics for forecasting and decision support
- Two capstone projects applying skills to real-world data and AI challenges
Career Paths
Jobs You Can Pursue
- Data Analyst
- Business Intelligence Analyst
- AI Specialist
- Data Engineer
- Machine Learning Engineer
- Database Administrator
Employers who have hired triOS grads
- Nexxus
- Siemens IT
- TD Canada Trust
- JD Irving
- RICOH
- Bell
- IBM
The triOS Advantage
Why Students Choose triOS
- Personalized Training
Small class sizes and dedicated instructors who know you by name. - Career Preparation
Resume writing, mock interviews, and one-on-one job placement support. - Accelerated Learning
Job-focused skills. Graduate in months, not years.
Common Questions
Before You Apply
How long is the program?
61 weeks plus an 8-week (200-hour) internship.
How is the program delivered?
Online through live, instructor-led sessions — 12 hours/week in class plus 8 hours/week of asynchronous lab time.
What credential do I earn?
A Diploma in Data Analysis and AI Specialist.
How is DAAS different from triOS’s Data Analyst program?
DAAS goes further into machine learning, computer vision, and AI-driven solution-building, while Data Analyst focuses on core SQL, Python, statistics, and visualization skills over a shorter 45-week program.