Master Certificate in Data Engineering
Master Certificate in Data Engineering
Fast Track Your Career
Fast Track Your Career
Develop scalable, secure, and cost-optimized data solutions in AWS, Azure, and Google Cloud
Build strong foundations in Python, SQL, and NoSQL for modern data engineering
Process large-scale datasets with Hadoop, Spark, and real-time streaming tools
Implement advanced data modeling, ETL pipelines, and orchestration workflows
Work with cutting-edge platforms like Snowflake and integrate AI-driven analytics
Talk to an Advisor
Duration
6 months
Duration
6 months
Duration
6 months
Start Date
Registration Deadline
Start Date
Registration Deadline
Start Date
Registration Deadline
Events
Attend an
<<Info session>>
Events
Attend an
<<Info session>>
Events
Attend an
<<Info session>>
Program Overview
Program Overview
Designed for professionals ready to advance their careers, this program covers essential skills in Python, SQL, NoSQL, Big Data, and cloud platforms including AWS, Azure, GCP, and Snowflake. Gain practical, hands-on experience through immersive labs and a capstone project that helps you build a strong portfolio. Prepare for key industry certifications to boost your credentials and open doors to high-demand roles in data engineering and analytics.
Course Outline
Course Outline
Fast-track your career as a data engineering professional with our comprehensive training program. Master Certificate in Data Engineering covers essential data engineering and big data concepts, the Hadoop ecosystem, Apache tools, Python for data engineering, and hands-on experience with AWS services such as EMR, Quicksight, and SageMaker, along with core Azure data services.
Download Outline
Python Basics for Data Engineering
Develop the Python foundation required to build, automate, and manage modern data engineering workflows. Learn procedural and object-oriented programming, control structures, and multi-threading to efficiently handle large-scale data operations.
Concepts Learned:
Fundamentals of Python programming and syntax
Functions, variables, and control flow (loops, conditionals)
Object-Oriented Programming (OOP) principles
Data types, operators, and string manipulation
Multi-threading for performance optimization
Effective use of Jupyter Notebook for data engineering tasks
SKILLS GAINED
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SKILLS GAINED
……………………..
Python Basics for Data Engineering
Develop the Python foundation required to build, automate, and manage modern data engineering workflows. Learn procedural and object-oriented programming, control structures, and multi-threading to efficiently handle large-scale data operations.
Concepts Learned:
Fundamentals of Python programming and syntax
Functions, variables, and control flow (loops, conditionals)
Object-Oriented Programming (OOP) principles
Data types, operators, and string manipulation
Multi-threading for performance optimization
Effective use of Jupyter Notebook for data engineering tasks
SKILLS GAINED
……………………..
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Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
SKILLS GAINED
……………………..
Database Management using SQL
Gain strong SQL skills to design, query, and manage relational databases. Learn advanced commands, joins, indexing, stored procedures, and user access controls for secure and scalable database operations.
Concepts Learned:
SQL statements, filtering, ordering, grouping, and joins
Aggregate, mathematical, and string functions
Subqueries, views, and stored procedures
Transactions, indexing, and query optimization
User access control and security functions
Backup and recovery strategies
SKILLS GAINED
……………………..
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
SKILLS GAINED
……………………..
NoSQL Mastery with MongoDB
Master the concepts of NoSQL and MongoDB to manage semi-structured and unstructured data. Gain hands-on skills in schema design, indexing, performance optimization, and integration into modern data pipelines.
Concepts Learned:
NoSQL database fundamentals and MongoDB architecture
Document structures and schema design
CRUD operations, querying, and aggregation
Indexing strategies for performance
Security, authentication, and access control
Scalability, replication, and sharding
Integration of MongoDB with data engineering workflows
SKILLS GAINED
……………………..
NoSQL Mastery with MongoDB
Master the concepts of NoSQL and MongoDB to manage semi-structured and unstructured data. Gain hands-on skills in schema design, indexing, performance optimization, and integration into modern data pipelines.
Concepts Learned:
NoSQL database fundamentals and MongoDB architecture
Document structures and schema design
CRUD operations, querying, and aggregation
Indexing strategies for performance
Security, authentication, and access control
Scalability, replication, and sharding
Integration of MongoDB with data engineering workflows
SKILLS GAINED
……………………..
Big Data with Hadoop and Spark
Learn the Hadoop ecosystem and Spark framework to process, analyze, and manage massive datasets. Build data ingestion pipelines, perform distributed computing, and apply machine learning with Spark ML.
Concepts Learned:
Hadoop architecture (HDFS, YARN, MapReduce)
Hive, Pig, HBase, Sqoop, and Flume for data management
Data ingestion with Sqoop, Flume, and Kafka
Apache Spark RDDs, DataFrames, and SQL operations
Real-time data streaming with Spark Structured Streaming
Spark GraphX and GraphFrames for graph data processing
Machine Learning with Spark ML
SKILLS GAINED
……………………..
Big Data with Hadoop and Spark
Learn the Hadoop ecosystem and Spark framework to process, analyze, and manage massive datasets. Build data ingestion pipelines, perform distributed computing, and apply machine learning with Spark ML.
Concepts Learned:
Hadoop architecture (HDFS, YARN, MapReduce)
Hive, Pig, HBase, Sqoop, and Flume for data management
Data ingestion with Sqoop, Flume, and Kafka
Apache Spark RDDs, DataFrames, and SQL operations
Real-time data streaming with Spark Structured Streaming
Spark GraphX and GraphFrames for graph data processing
Machine Learning with Spark ML
SKILLS GAINED
……………………..
AWS Tech Essentials
Gain foundational knowledge of AWS cloud services and learn how to deploy, secure, and manage workloads. Build hands-on expertise in compute, storage, networking, and serverless services.
Concepts Learned:
AWS cloud concepts, services, and console navigation
Compute with EC2, Lambda, and autoscaling
Storage with S3, EBS, and content delivery
Identity and Access Management (IAM)
Networking and Virtual Private Clouds (VPC)
Managed databases and pricing models
SKILLS GAINED
……………………..
AWS Tech Essentials
Gain foundational knowledge of AWS cloud services and learn how to deploy, secure, and manage workloads. Build hands-on expertise in compute, storage, networking, and serverless services.
Concepts Learned:
AWS cloud concepts, services, and console navigation
Compute with EC2, Lambda, and autoscaling
Storage with S3, EBS, and content delivery
Identity and Access Management (IAM)
Networking and Virtual Private Clouds (VPC)
Managed databases and pricing models
SKILLS GAINED
……………………..
AWS Certified Data Engineer – Associate
Prepare for the AWS Certified Data Engineer – Associate exam by mastering data pipelines, cloud storage, and advanced data processing with AWS services. Gain the expertise needed for real-world data engineering in AWS.
Concepts Learned:
Data engineering fundamentals and AWS ecosystem
Data modeling and quality assurance
Compute services (EC2, Lambda, Batch, ECS, EKS)
Databases: DynamoDB, RDS, Redshift
Data lakes and analytics: Athena, Glue, Spark, Kinesis
Migration, security, and compliance in AWS
Developer tools (CLI, CDK) and governance frameworks
SKILLS GAINED
……………………..
AWS Certified Data Engineer – Associate
Prepare for the AWS Certified Data Engineer – Associate exam by mastering data pipelines, cloud storage, and advanced data processing with AWS services. Gain the expertise needed for real-world data engineering in AWS.
Concepts Learned:
Data engineering fundamentals and AWS ecosystem
Data modeling and quality assurance
Compute services (EC2, Lambda, Batch, ECS, EKS)
Databases: DynamoDB, RDS, Redshift
Data lakes and analytics: Athena, Glue, Spark, Kinesis
Migration, security, and compliance in AWS
Developer tools (CLI, CDK) and governance frameworks
SKILLS GAINED
……………………..
Azure Fundamentals
Learn the essentials of Microsoft Azure and cloud computing. Understand services, deployment models, security, and compliance while building and managing applications on the Azure platform.
Concepts Learned:
Core Azure services (VMs, storage, web apps, databases)
Cloud models: Public, private, and hybrid
Azure AD and identity management
Pricing, support, and compliance
Deploying databases and applications on Azure
SKILLS GAINED
……………………..
Azure Fundamentals
Learn the essentials of Microsoft Azure and cloud computing. Understand services, deployment models, security, and compliance while building and managing applications on the Azure platform.
Concepts Learned:
Core Azure services (VMs, storage, web apps, databases)
Cloud models: Public, private, and hybrid
Azure AD and identity management
Pricing, support, and compliance
Deploying databases and applications on Azure
SKILLS GAINED
……………………..
Azure Data Engineer (DP-203)
Specialize in Azure data engineering by learning to design, build, and optimize batch and streaming data solutions. Gain expertise in provisioning storage, implementing security, and integrating data services.
Concepts Learned:
Azure data engineering fundamentals
Storage solutions with SQL Database, Synapse, Data Lake
Data ingestion with Azure Data Factory and Event Hubs
Azure Databricks for big data processing
Batch processing and real-time streaming
Security, data masking, and retention policies
Optimization and monitoring of Azure data solutions
SKILLS GAINED
……………………..
Azure Data Engineer (DP-203)
Specialize in Azure data engineering by learning to design, build, and optimize batch and streaming data solutions. Gain expertise in provisioning storage, implementing security, and integrating data services.
Concepts Learned:
Azure data engineering fundamentals
Storage solutions with SQL Database, Synapse, Data Lake
Data ingestion with Azure Data Factory and Event Hubs
Azure Databricks for big data processing
Batch processing and real-time streaming
Security, data masking, and retention policies
Optimization and monitoring of Azure data solutions
SKILLS GAINED
……………………..
Data Engineering Capstone Project
The data engineering capstone project will allow you to implement the skills you learned throughout this program. Through dedicated mentoring sessions, you’ll learn how to solve real-world, industry-aligned data engineering challenges, from setting up configuration, ETL, data streaming, and data analysis to data visualization. This project is the final step in the learning path and will enable you to showcase your expertise in data engineering to future employers. To make your practice more relevant, you can choose to work on projects that cover the most relevant domains.
SKILLS GAINED
……………………..
Data Engineering Capstone Project
The data engineering capstone project will allow you to implement the skills you learned throughout this program. Through dedicated mentoring sessions, you’ll learn how to solve real-world, industry-aligned data engineering challenges, from setting up configuration, ETL, data streaming, and data analysis to data visualization. This project is the final step in the learning path and will enable you to showcase your expertise in data engineering to future employers. To make your practice more relevant, you can choose to work on projects that cover the most relevant domains.
SKILLS GAINED
……………………..
SKILLS GAINED
……………………..
Database Management using SQL
Gain strong SQL skills to design, query, and manage relational databases. Learn advanced commands, joins, indexing, stored procedures, and user access controls for secure and scalable database operations.
Concepts Learned:
SQL statements, filtering, ordering, grouping, and joins
Aggregate, mathematical, and string functions
Subqueries, views, and stored procedures
Transactions, indexing, and query optimization
User access control and security functions
Backup and recovery strategies
SKILLS GAINED
NoSQL Mastery with MongoDB
Master the concepts of NoSQL and MongoDB to manage semi-structured and unstructured data. Gain hands-on skills in schema design, indexing, performance optimization, and integration into modern data pipelines.
Concepts Learned:
NoSQL database fundamentals and MongoDB architecture
Document structures and schema design
CRUD operations, querying, and aggregation
Indexing strategies for performance
Security, authentication, and access control
Scalability, replication, and sharding
Integration of MongoDB with data engineering workflows
SKILLS GAINED
Big Data with Hadoop and Spark
Learn the Hadoop ecosystem and Spark framework to process, analyze, and manage massive datasets. Build data ingestion pipelines, perform distributed computing, and apply machine learning with Spark ML.
Concepts Learned:
Hadoop architecture (HDFS, YARN, MapReduce)
Hive, Pig, HBase, Sqoop, and Flume for data management
Data ingestion with Sqoop, Flume, and Kafka
Apache Spark RDDs, DataFrames, and SQL operations
Real-time data streaming with Spark Structured Streaming
Spark GraphX and GraphFrames for graph data processing
Machine Learning with Spark ML
SKILLS GAINED
AWS Tech Essentials
Gain foundational knowledge of AWS cloud services and learn how to deploy, secure, and manage workloads. Build hands-on expertise in compute, storage, networking, and serverless services.
Concepts Learned:
AWS cloud concepts, services, and console navigation
Compute with EC2, Lambda, and autoscaling
Storage with S3, EBS, and content delivery
Identity and Access Management (IAM)
Networking and Virtual Private Clouds (VPC)
Managed databases and pricing models
SKILLS GAINED
AWS Certified Data Engineer – Associate
Prepare for the AWS Certified Data Engineer – Associate exam by mastering data pipelines, cloud storage, and advanced data processing with AWS services. Gain the expertise needed for real-world data engineering in AWS.
Concepts Learned:
Data engineering fundamentals and AWS ecosystem
Data modeling and quality assurance
Compute services (EC2, Lambda, Batch, ECS, EKS)
Databases: DynamoDB, RDS, Redshift
Data lakes and analytics: Athena, Glue, Spark, Kinesis
Migration, security, and compliance in AWS
Developer tools (CLI, CDK) and governance frameworks
SKILLS GAINED
Azure Fundamentals
Learn the essentials of Microsoft Azure and cloud computing. Understand services, deployment models, security, and compliance while building and managing applications on the Azure platform.
Concepts Learned:
Core Azure services (VMs, storage, web apps, databases)
Cloud models: Public, private, and hybrid
Azure AD and identity management
Pricing, support, and compliance
Deploying databases and applications on Azure
SKILLS GAINED
Azure Data Engineer (DP-203)
Specialize in Azure data engineering by learning to design, build, and optimize batch and streaming data solutions. Gain expertise in provisioning storage, implementing security, and integrating data services.
Concepts Learned:
Azure data engineering fundamentals
Storage solutions with SQL Database, Synapse, Data Lake
Data ingestion with Azure Data Factory and Event Hubs
Azure Databricks for big data processing
Batch processing and real-time streaming
Security, data masking, and retention policies
Optimization and monitoring of Azure data solutions
SKILLS GAINED
Data Engineering Capstone Project
The data engineering capstone project will allow you to implement the skills you learned throughout this program. Through dedicated mentoring sessions, you’ll learn how to solve real-world, industry-aligned data engineering challenges, from setting up configuration, ETL, data streaming, and data analysis to data visualization. This project is the final step in the learning path and will enable you to showcase your expertise in data engineering to future employers. To make your practice more relevant, you can choose to work on projects that cover the most relevant domains.
SKILLS GAINED
SKILLS GAINED
How to Apply
How to Apply
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
French language proficiency proof
Current resume
Two government-issued photo IDs
Step 3: Pay Application Fees
$50 application + $150 registration.
Step 4: Submit Your Application Form
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
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
Reach us
Reach us
Meet & Greet
Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.
Meet us
Meet & Greet
Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.
Meet us
Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.
1:1 with Advisor
Meet us
Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.
1:1 with Advisor
Meet us
Info Sessions
Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.
Meet us
i
Info Sessions
Schedule a meeting with our Advisors and discuss all the opportunities at MCIT.
Meet us
i
Become job ready
Become job ready
Networking Events
Networking Events
Financial Aid
Resume Preperation
Mentorship & Guidance:
Portfolio Preperation
Networking Events
Events That Make You Job-Ready
At MCIT, our programs go beyond the classroom. We create opportunities to connect, grow, and get hired through a range of career-focused events:
Intelligent Networking Events
Curated sessions designed to connect you with industry professionals and hiring companies.Instructor-Led Introductions
Our instructors share their own professional networks, opening doors to real-world opportunities.Peer-to-Peer Networking
Engage with classmates and alumni to build meaningful connections within your industry.Meet the Recruiter
Participate in exclusive events where recruiters come to meet, mentor, and hire MCIT students.
Attend an 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.
Attend an 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.
Attend an infosession
Upon successful completion the college grants the student an AEC (Attestation d’études collégiale)
Business Intelligence and Visualization Analyst (LEA.CV)
-8 months-
Upon successful completion the college grants the student an AEC (Attestation d’études collégiale)
Business Intelligence and Visualization Analyst (LEA.CV)
-900 hrs-
Instructor Spotlight
Davood Fekret
Warehouse and Inventory Manager
10 + Years
Davood Fekret is an experienced supply chain and operations management professional with a strong background in inventory control, logistics, and ERP systems implementation. With over 20 years of experience in the automotive manufacturing and distribution industry, he excels at streamlining processes, improving warehouse efficiency, and leading cross-functional teams. Davood is highly skilled in Lean Manufacturing, Warehouse Management, and end-to-end process implementation. He is passionate about data-driven decision-making and continuous improvement.
Mojtaba Faramarzi
Applied Research Scientist
10 + Years
Mojtaba holds a Ph.D. in Machine Learning from the University of Montreal–Mila, along with two master’s degrees in Software Engineering from Concordia University and Machine Learning from the University of Montreal. He brings extensive experience in both academia and industry, having taught a range of computer science and software engineering courses with a focus on practical AI applications. He has also worked in leading tech companies, including Amazon, Microsoft, SAP, and Ericsson. Passionate about student engagement and interdisciplinary learning, he is committed to fostering critical thinking and innovation in the classroom.
Ehsan Shirazi
Cybersecurity Coordinator
10 + Years
Ehsan, with over 10 years of experience in IT and as a graduate of McGill University, delivers courses and supports the professional growth of students at MCIT. He is passionate about sharing his knowledge and expertise to help students develop the skills needed for successful careers in IT.
Sridharan Kilvidi
Senior Tester
2 Years
Sridaran is a Software Test Consultant and Trainer with 8 years of teaching experience in private colleges in Montreal and Toronto. With over 15 years of professional experience in Programming and QA, Sridaran has successfully managed Software Quality Assurance efforts for enterprise applications in finance, telecommunications, and service business domains. Passionate about sharing expertise and guiding aspiring professionals in the field of software testing.
Intructor spotlight
Davood Fekret
Warehouse and Inventory Manager
10 + Years
Davood Fekret is an experienced supply chain and operations management professional with a strong background in inventory control, logistics, and ERP systems implementation. With over 20 years of experience in the automotive manufacturing and distribution industry, he excels at streamlining processes, improving warehouse efficiency, and leading cross-functional teams. Davood is highly skilled in Lean Manufacturing, Warehouse Management, and end-to-end process implementation. He is passionate about data-driven decision-making and continuous improvement.
Mojtaba Faramarzi
Applied Research Scientist
10 + Years
Mojtaba holds a Ph.D. in Machine Learning from the University of Montreal–Mila, along with two master’s degrees in Software Engineering from Concordia University and Machine Learning from the University of Montreal. He brings extensive experience in both academia and industry, having taught a range of computer science and software engineering courses with a focus on practical AI applications. He has also worked in leading tech companies, including Amazon, Microsoft, SAP, and Ericsson. Passionate about student engagement and interdisciplinary learning, he is committed to fostering critical thinking and innovation in the classroom.
Ehsan Shirazi
Cybersecurity Coordinator
10 + Years
Ehsan, with over 10 years of experience in IT and as a graduate of McGill University, delivers courses and supports the professional growth of students at MCIT. He is passionate about sharing his knowledge and expertise to help students develop the skills needed for successful careers in IT.
Sridharan Kilvidi
Senior Tester
2 Years
Sridaran is a Software Test Consultant and Trainer with 8 years of teaching experience in private colleges in Montreal and Toronto. With over 15 years of professional experience in Programming and QA, Sridaran has successfully managed Software Quality Assurance efforts for enterprise applications in finance, telecommunications, and service business domains. Passionate about sharing expertise and guiding aspiring professionals in the field of software testing.
Connect to Content
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Student stories
Student stories
Program Cohorts
Upcoming sessions
& Schedule
Summer
Apply Early
Aug 28, 2025
Register Before
Jul 31, 2025
Summer
Apply Early
Aug 28, 2025
Register Before
Jul 31, 2025
Fall
Apply Early
Aug 28, 2025
Register Before
Jul 31, 2025
Fall
Apply Early
Aug 28, 2025
Register Before
Jul 31, 2025
Winter
Apply Early
Aug 28, 2025
Register Before
Jul 31, 2025
Winter
Apply Early
Aug 28, 2025
Register Before
Jul 31, 2025
FAQs
FAQs
Montreal College of Information Technology
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 405 6874
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 405 6874