Master Certificate in Data Engineering
Master Certificate in Data Engineering
Propulsez votre carrière
Propulsez votre carrière
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
Parlez à un conseiller
Durée:
6 months
Durée:
6 months
Durée:
6 months
Début : 15 oct 2025
Horaire : Lu-Mer-Ven
Début : 15 oct 2025
Horaire : Lu-Mer-Ven
Début : 15 oct 2025
Horaire : Lu-Mer-Ven
Événements
Assistez à une
<<Info session>>
Événements
Assistez à une
<<Info session>>
Événements :
Assistez à une
<<Info session>>
Aperçu du programme
Aperçu du programme
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.
Plan de cours
Plan de cours
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.
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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
APTITUDES
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Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
APTITUDES
……………………..
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
APTITUDES
……………………..
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Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
APTITUDES
……………………..
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
APTITUDES
……………………..
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.
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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
APTITUDES
……………………..
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.
APTITUDES
……………………..
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.
APTITUDES
……………………..
APTITUDES
……………………..
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
APTITUDES
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
APTITUDES
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
APTITUDES
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
APTITUDES
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
APTITUDES
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
APTITUDES
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
APTITUDES
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.
APTITUDES
APTITUDES
Comment postuler
Comment postuler
Bourses
Aide financière
Aide financière
Processus
d'admission
Admissibilité
Admission
Étape 1 : Prenez rendez-vous avec un conseiller
Étape 2 : Préparez vos documents
Diplôme et relevés de notes (Secondaire, CEGEP, Collège ou Université)
Certificat de naissance (en français ou en anglais)
Preuve de statut au Canada
Preuve de compétence en français
CV à jour
Deux pièces d’identité gouvernementales avec photo
Étape 3 : Payez les frais d’admission
50 $ demande + 150 $ inscription
Étape 4 : Soumettez votre formulaire d’admission
Parlez à un conseiller
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
Contactez-nous
Contactez-nous
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
Planifiez une rencontre avec nos conseillers et explorez toutes les options au CTIM.
1:1 with Advisor
Rencontrez-nous
Planifiez une rencontre avec nos conseillers et explorez toutes les options au CTIM.
1:1 with Advisor
Rencontrez-nous
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
Prêt pour l'emploi
Prêt pour l'emploi
Événements de réseautage
Événements de réseautage
Aide financière
Préparation de CV
Mentorat et conseils
Préparation de portfolio
Événements de réseautage
Événements qui vous préparent à l'emploi
Au CTIM, nos programmes vont au-delà de la salle de classe. Nous créons des occasions de réseautage, de développement et d’embauche à travers divers événements axés sur la carrière :
Événements de réseautage intelligent
Des sessions ciblées pour vous connecter avec des pros du secteur et des entreprises qui recrutent.
Présentations menées par nos enseignants
Nos enseignants partagent leur propre réseau pour vous ouvrir à des opportunités concrètes.
Réseautage entre pairs
Échangez avec vos collègues et notre réseau d'anciens étudiantsd pour tisser des liens solides dans votre domaine.
Rencontrez les recruteurs
Participez à des événements exclusifs où les recruteurs viennent rencontrer, guider et embaucher les étudiants du CTIM.
Attend an infosession
Préparation de CV
Événements de réseautage
Resume Preperation
interview Preperation
Préparation de protfolio
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.
Assistez à une Info-session
Préparation de CV
Événements de réseautage
Resume Preperation
interview Preperation
Préparation de protfolio
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.
Assistez à une Info-session
À la réussite du programme, le CTIM délivre à l’étudiant une AEC (Attestation d’études collégiales)
Analyste en intelligence d’affaires et visualisation (LEA.CV) 900 h
À la réussite du programme, le CTIM délivre à l’étudiant une AEC (Attestation d’études collégiales)
Analyste en intelligence d’affaires et visualisation (LEA.CV) – 900 h –
Plein feu sur nos enseignants
Davood Fekret
Warehouse and Inventory Manager
10 + Years
Davood Fekret est un professionnel expérimenté en gestion de la chaîne d’approvisionnement et des opérations, avec une solide expertise en contrôle des stocks, logistique et mise en œuvre de systèmes ERP. Fort de plus de 20 ans d’expérience dans l’industrie de la fabrication et de la distribution automobile, il se distingue par sa capacité à optimiser les processus, améliorer l’efficacité des entrepôts et diriger des équipes interfonctionnelles. Davood maîtrise les principes du Lean Manufacturing, la gestion d’entrepôt et l’implantation de processus de bout en bout.
Mojtaba Faramarzi
Applied Research Scientist
10 + Years
Concordia et l’autre en apprentissage automatique de l’Université de Montréal. Il possède une vaste expérience dans les milieux universitaire et industriel, ayant enseigné divers cours en informatique et en génie logiciel, avec un accent particulier sur les applications pratiques de l’intelligence artificielle. Il a également travaillé pour de grandes entreprises technologiques telles qu’Amazon, Microsoft, SAP et Ericsson. Passionné par l’engagement des étudiants et l’apprentissage interdisciplinaire, il s’engage à encourager la pensée critique et l’innovation en classe.
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.
Mise en lumière de l'instructeur
Davood Fekret
Warehouse and Inventory Manager
10 + Years
Davood Fekret est un professionnel expérimenté en gestion de la chaîne d’approvisionnement et des opérations, avec une solide expertise en contrôle des stocks, logistique et mise en œuvre de systèmes ERP. Fort de plus de 20 ans d’expérience dans l’industrie de la fabrication et de la distribution automobile, il se distingue par sa capacité à optimiser les processus, améliorer l’efficacité des entrepôts et diriger des équipes interfonctionnelles. Davood maîtrise les principes du Lean Manufacturing, la gestion d’entrepôt et l’implantation de processus de bout en bout.
Mojtaba Faramarzi
Applied Research Scientist
10 + Years
Concordia et l’autre en apprentissage automatique de l’Université de Montréal. Il possède une vaste expérience dans les milieux universitaire et industriel, ayant enseigné divers cours en informatique et en génie logiciel, avec un accent particulier sur les applications pratiques de l’intelligence artificielle. Il a également travaillé pour de grandes entreprises technologiques telles qu’Amazon, Microsoft, SAP et Ericsson. Passionné par l’engagement des étudiants et l’apprentissage interdisciplinaire, il s’engage à encourager la pensée critique et l’innovation en classe.
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.
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Collège des technologies de l’information de Montréal
200 - 1255 Boulevard Robert-Bourassa
Montréal, Québec H3B 3B2
+1 514 312 2383
Collège des technologies de l’information de Montréal
200 - 1255 Boulevard Robert-Bourassa
Montréal, Québec H3B 3B2
+1 514 405 6874
Collège des technologies de l’information de Montréal
200 - 1255 Boulevard Robert-Bourassa
Montréal, Québec H3B 3B2
+1 514 405 6874