Mentor-Led Career Accelerator
Mentor-Led Career Accelerator
Machine Learning & Data Science Master Certificate
Machine Learning & Data Science Master Certificate
Data Science, Predictive Modeling & AI Systems
Data Science, Predictive Modeling & AI Systems
Develop practical machine learning and data science capabilities through structured, mentor-guided training. Build hands-on experience in data analysis, predictive modeling, and AI system development using modern tools and cloud environments, aligned with Data Scientist and Machine Learning Engineer roles.
Develop practical machine learning and data science capabilities through structured, mentor-guided training. Build hands-on experience in data analysis, predictive modeling, and AI system development using modern tools and cloud environments, aligned with Data Scientist and Machine Learning Engineer roles.
Live 1-on-1 Mentorship
Live 1-on-1 Mentorship
Project based Learning
Project based Learning
Rolling Enrollment • Flexible Start Dates
Rolling Enrollment • Flexible Start Dates
Program Duration
6 Months
Mentorship
from industry professionals
Course Language
English
Format
Online 1-on-1
Live Mentorship
Credential
Professional Certificate
Program Overview
Program Overview
The Master Certificate in Data Science, Cloud, and AI equips you with the essential skills and practical experience to become a job-ready data and AI professional. Through a mix of foundational concepts, hands-on projects, and applied learning, you’ll gain the knowledge to analyze data, build intelligent systems, and work with modern AI and cloud technologies. The program emphasizes both technical expertise and problem-solving skills, preparing you for high-demand roles such as data scientist, data engineer, or machine learning practitioner, and giving you the confidence to contribute effectively to data-driven and AI-powered initiatives.
The Master Certificate in Data Science, Cloud, and AI equips you with the essential skills and practical experience to become a job-ready data and AI professional. Through a mix of foundational concepts, hands-on projects, and applied learning, you’ll gain the knowledge to analyze data, build intelligent systems, and work with modern AI and cloud technologies. The program emphasizes both technical expertise and problem-solving skills, preparing you for high-demand roles such as data scientist, data engineer, or machine learning practitioner, and giving you the confidence to contribute effectively to data-driven and AI-powered initiatives.
Mentor-Guided
Master industry skills on your own schedule.
Combine the flexibility of online learning with the accountability of weekly 1-on-1 sessions with an expert mentor.
AT A GLANCE
Flexible Core Learning
Access our industry-aligned video modules and cloud labs 24/7. Progress through the curriculum at the speed that fits your life.
Weekly 1-on-1 Mentorship
Meet weekly with your dedicated mentor to review code, unblock challenges, and get personalized feedback on your progress.
Job-Ready Portfolio
Focus on output. Apply what you learn immediately by building realistic projects. Graduate with a GitHub portfolio that proves you can do the job
masters
Mentor-Guided
Master industry skills on your own schedule.
Combine the flexibility of online learning with the accountability of weekly 1-on-1 sessions with an expert mentor.
AT A GLANCE
Flexible Core Learning
Access our industry-aligned video modules and cloud labs 24/7. Progress through the curriculum at the speed that fits your life.
Weekly 1-on-1 Mentorship
Meet weekly with your dedicated mentor to review code, unblock challenges, and get personalized feedback on your progress.
Job-Ready Portfolio
Focus on output. Apply what you learn immediately by building realistic projects. Graduate with a GitHub portfolio that proves you can do the job
masters
Course Outline
Course Outline
Citizens/Permanent residents of Quebec
Citizens/Permanent residents of Quebec
Financial support may be available:
Financial support may be available:
Quebec financial assistance for AEC Diplomas &
Flexible Payment Plans for other programs
Quebec financial assistance for AEC Diplomas &
Flexible Payment Plans for other programs
Citizens/Permanent residents of Quebec
Citizens/Permanent residents of Quebec
Financial support may be available:
Financial support may be available:
Partner Loans & MCIT Scholarships
Flexible Payment Plans
Partner Loans & MCIT Scholarships
Flexible Payment Plans
Citizens/Permanent residents of Quebec
Financial support may be available:
Partner Loans & MCIT Scholarships
Flexible Payment Plans
Introduction to Data Science
Data Science is the foundation for turning raw data into meaningful insights. In this module, you’ll explore how data science supports decisions, drives strategy, and creates real outcomes across organizations. You’ll walk through how data moves from initial collection to analysis and insight generation, and how data science teams work together to solve business problems. By the end, you won’t just understand what data science is—you’ll feel confident stepping into the data science process.
What You’ll Learn
How data science creates value and supports decisions
The workflow from collecting data to generating insights
Ways to identify meaningful trends, patterns, and signals
Communicating insights through visuals and storytelling
Ethical and responsible practices in data science
Python Programming from Zero to Hero
Python Programming from Zero to Hero
Data Engineering
Data Engineering
Introduction to Machine Learning
Introduction to Machine Learning
Introduction to Data Science
Data Science is the foundation for turning raw data into meaningful insights. In this module, you’ll explore how data science supports decisions, drives strategy, and creates real outcomes across organizations. You’ll walk through how data moves from initial collection to analysis and insight generation, and how data science teams work together to solve business problems. By the end, you won’t just understand what data science is—you’ll feel confident stepping into the data science process.
What You’ll Learn
How data science creates value and supports decisions
The workflow from collecting data to generating insights
Ways to identify meaningful trends, patterns, and signals
Communicating insights through visuals and storytelling
Ethical and responsible practices in data science
Classical Machine Learning Approaches
Classical Machine Learning Approaches
Building a Data Science Portfolio
Building a Data Science Portfolio
Intructor spotlight
Intructor spotlight
Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.
Michel Chamoun
Data Science & Business Analyst
Michel is an expert AI developer and consultant who leverages skills in AI, data analysis, and optimization. He has built GenAI concepts using ChatGPT and implemented AI solutions on Microsoft Azure
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.
Michel Chamoun
Data Science & Business Analyst
Michel is an expert AI developer and consultant who leverages skills in AI, data analysis, and optimization. He has built GenAI concepts using ChatGPT and implemented AI solutions on Microsoft Azure
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
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AEC Diploma · Accredited
What Data Science graduates earn in Montreal
What Data Science graduates earn in Montreal
Data science is one of the fastest-growing fields in Canada. MCIT graduates are already working at top companies across finance, tech, and healthcare. Here's what the market looks like:
AVG JUNIOR DATA SCIENTIST SALARY IN MONTREAL, QC
$73,122
per year
Source: Indeed
PROJECTED JOB GROWTH
+36%
Data science roles are projected to grow 36% between 2025 –2033 — one of the fastest-growing occupations across all sectors.
Source: U.S. Bureau of Labor Statistics
TOP HIRING INDUSTRIES
Finance & Banking
Healthcare & Biotech
Technology & SaaS
Retail & E-commerce
Government & Public Sector
AVG JUNIOR DATA SCIENTIST SALARY IN MONTREAL, QC
$73,122
per year
Source: Indeed
PROJECTED JOB GROWTH
+36%
Data science roles are projected to grow 36% between 2025 –2033 — one of the fastest-growing occupations across all sectors.
Source: U.S. Bureau of Labor Statistics
TOP HIRING INDUSTRIES
Finance & Banking
Healthcare & Biotech
Technology & SaaS
Retail & E-commerce
Government & Public Sector
Live Career Infosessions
Attend an online info session
Attend an online info session
Instructor Spotlight
Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.
Michel Chamoun
Data Science & Business Analyst
Michel is an expert AI developer and consultant who leverages skills in AI, data analysis, and optimization. He has built GenAI concepts using ChatGPT and implemented AI solutions on Microsoft Azure
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.
Michel Chamoun
Data Science & Business Analyst
Michel is an expert AI developer and consultant who leverages skills in AI, data analysis, and optimization. He has built GenAI concepts using ChatGPT and implemented AI solutions on Microsoft Azure
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.
Michel Chamoun
Data Science & Business Analyst
Michel is an expert AI developer and consultant who leverages skills in AI, data analysis, and optimization. He has built GenAI concepts using ChatGPT and implemented AI solutions on Microsoft Azure
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.
Michel Chamoun
Data Science & Business Analyst
Michel is an expert AI developer and consultant who leverages skills in AI, data analysis, and optimization. He has built GenAI concepts using ChatGPT and implemented AI solutions on Microsoft Azure
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.
Michel Chamoun
Data Science & Business Analyst
Michel is an expert AI developer and consultant who leverages skills in AI, data analysis, and optimization. He has built GenAI concepts using ChatGPT and implemented AI solutions on Microsoft Azure
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
Student stories
Student stories
Career & Professional Development
Career & Professional Development
Comprehensive resources designed to transition you from the classroom to the workforce.
Comprehensive resources designed to transition you from the classroom to the workforce.
Networking Events
Networking Events
Financial Aid
Resume Preperation
Mentorship & Guidance:
Portfolio Preperation
Resume Preperation
Optimize your LinkedIn profile to attract recruiters and expand your professional network.
Mock Interviews
Practice real-world scenarios with mock interviews hosted by partner companies.Technical Interview Prep
Sharpen your problem-solving and technical communication skills with focused training.Behavioral Interview Coaching
Learn how to effectively communicate your experiences and ace HR-style interviews.
Attend Infosession
Resume preperation
Networking Events
Resume Preperation
interview Preperation
Portfolio
Preparation
Craft a Winning Resume & Land Your Dream Job Faster!
Your resume is your first impression on potential employers
Join our Resume Preparation Workshop to learn how to create a standout resume that highlights your skills, experience, and strengths in a way that grabs employers’ attention.
Student stories
Fast Track Your Enrollment
Fast Track Your Enrollment
Our online application takes less than 10 minutes
Our online application takes less than 10 minutes
Scholarships
Financial Aid
Financial Aid
Admission
process
Eligibility
Admission Process
Step 1: Book an Appointment with an Advisor
Step 2: Prepare Your Documents
Diploma and transcripts (High School, CEGEP, College, or University)
Birth Certificate (in English or French)
Proof of Canadian status
Current resume (Mandatory)
Two government-issued photo IDs
Step 3: Pay Application Fees$50 application + $150 registration.
Talk to an Advisor
Financial Aid
Scholarships
Scholarships
Admission process
Eligibility
Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.
You can also apply with the government to get financial aid through the AFE loan program (Aide financière aux études/Student financial assistance).
➔ Attend an Info Session
➔ Meet an Advisor
➔ Submit Documents
➔ Get Scholarship
➔ Begin your Career
Attend an infosession
Scholarships
Financial Aid
Scholarships
Eligibility
Admission process
Step 1: Book an Appointment with an Advisor
Step 2: Prepare Your Documents
Diploma and transcripts (High School, CEGEP, College, or University)
Birth Certificate (in English or French)
Proof of Canadian status
Current resume (Mandatory)
Two government-issued photo IDs
Step 3: Pay Application Fees
$50 application + $150 registration.
Attend an infosession
Admission Process
Financial Aid
Scholarships
Scholarships
Admission process
Eligibility
New Immigrants
For students who arrived in Canada within the past two years.
Unemployed / Career Changers
For those laid off within the last six months and seeking a new career path.New Graduates
For recent post-secondary graduates (within the past two years).Merit-Based
For candidates with outstanding academic or professional achievements.
Attend an infosession
Scholarships
Related Programs
Related Programs
Not sure this is the right fit?
Explore programs that complement or lead into Data Science.
New to Data Science?
Start Here.
New to Data Science?
Start Here.
Breaking into data science requires more than just coding skills - it requires a strategy. Whether you are switching fields from finance or starting from scratch, our comprehensive guide breaks down exactly how to enter the industry, build a portfolio, and land your first role.
Breaking into data science requires more than just coding skills - it requires a strategy. Whether you are switching fields from finance or starting from scratch, our comprehensive guide breaks down exactly how to enter the industry, build a portfolio, and land your first role.
FAQs
Got questions or need advice?
You don't have to figure it out alone. Schedule a quick chat with our admissions team.
You don't have to figure it out alone. Schedule a quick chat with our admissions team.
FAQs
Ready to land a job
you’ll love?
At MCIT, progress shows up when you do. We're here to guide you from where you are to where you deserve to be.
Apply today and get the learning and resources you need to help you prepare for a job in tech.
Ready to land a job
you’ll love?
At MCIT, progress shows up when you do. We're here to guide you from where you are to where you deserve to be.
Apply today and get the learning and resources you need to help you prepare for a job in tech.
Montreal College of
Information Technology
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
info@montrealcollege.ca
Montreal College of Information Technology
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
info@montrealcollege.ca