
Data Science & Business Analytics
Data Science & Business Analytics
Build real-world skills with hands-on courses designed for professionals across domains. Whether you want to become a data scientist, a business analyst, or a project manager, master the latest tools, techniques, and frameworks to get job-ready for high-demand roles in data analysis, machine learning, business intelligence, and strategic project leadership worldwide.
Diploma Programs
Diploma Programs
Most Popular Data Science & Business Analytics Diplomas
Most Popular Data Science & Business Analytics Diplomas
Business Intelligence and Visualization Analyst LEA.CV Profile: Data Science
8 Months
Start Date: Oct 31, 2025
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Business Intelligence and Visualization Analyst LEA.CV Profile: Data Science
8 Months
Start Date: Oct 31, 2025
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Business Intelligence and Visualization Analyst LEA.CV Profile: Microsoft Business Intelligence Analyst / Developer
8 Months
Start Date: Nov 14, 2025
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Business Intelligence and Visualization Analyst LEA.CV Profile: Microsoft Business Intelligence Analyst / Developer
8 Months
Start Date: Nov 14, 2025
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Certificate Programs
Certificate Programs
Most Popular Data Science & Business Analytics Certificates
Most Popular Data Science & Business Analytics Certificates
SQL Programming
5 weeks
Start Date: Oct 27, 2025
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SQL Programming
5 weeks
Start Date: Oct 27, 2025
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Python Programming
5 Weeks
Start Date: Sep 24, 2025
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Python Programming
5 Weeks
Start Date: Sep 24, 2025
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Data Visualization and Reporting Tool (Power BI)
5 Weeks
Start Date: Aug 18, 2025
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Data Visualization and Reporting Tool (Power BI)
5 Weeks
Start Date: Aug 18, 2025
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Applied Data Science with Python
5 Weeks
Start Date: Nov 12, 2025
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Applied Data Science with Python
5 Weeks
Start Date: Nov 12, 2025
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Machine Learning
1 Month
Start Date: Oct 20, 2025
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Machine Learning
1 Month
Start Date: Oct 20, 2025
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Learn at Your Pace. Guided by Experts
Learn at Your Pace. Guided by Experts
MCIT's instructor-guided approach combines flexible learning with hands-on mentorship. You progress through curated content on your schedule—while industry professionals guide you through real projects, provide detailed feedback, and help you build a job-ready portfolio.
About 65% of your time goes into project work. Your mentor reviews every project until it meets professional standards—so by graduation, you don't just know data science, you have proof you can do it.


Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience designing and scaling data infrastructure at high-growth tech companies. He currently works as a consultant with Apple, specializing in distributed systems, Spark, and backend development. Iraj teaches Data Engineering courses focused on real-world applications in big data processing, cloud infrastructure, and modern data pipelines. His industry background includes leading large-scale data migrations, optimizing cloud costs, and building end-to-end systems for data ingestion and analytics.

Davood Fekret
Warehouse and Inventory Manager
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
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.

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.

Parminderjit Singh
Senior Data Architect.
Parminder Jit Singh, with over 17 years of experience, is a highly skilled professional in MS SQL Server Azure and related technologies. He specializes in MS BI (SSIS, SSAS, SSRS), SharePoint, SQL Query Analyzer, SQL Server Management Studio, and Business Intelligence Development Studio. Parminder's expertise in delivering essential IT solutions is matched by his accessible mentoring style, guiding aspiring professionals effectively.

Zahid Hossain
EPM & Data Analytics Delivery Lead
A fleeting Industry expert with over a decade in Business Intelligence and Analytics spent primarily in Tableau BI applications, Microsoft Power BI, OAC, PBCS, Data management, OBIEE and Essbase mostly in the big four consulting firms. An MBA and IT graduate who combines business goals with technological prowess. Dispenses his passion for knowledge & learning through teaching Business Intelligence & Data methodologies to ardent aspirants.

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.

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.

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.

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.

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.

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.

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
+1 514 312 2383