Duration
Fast Track : 8 Months
Schedule: Mon, Wed, Fri
18h00 to 21h00
Start Date
13 June 2025
Registration Deadline
June 6h, 2025
Methodology
Instructor led
Online, Project
based learning
Events
Attend an
<<Info session>>
As a Data Scientist, you will leverage data to uncover insights and drive business decisions through the use of advanced statistical methods, machine learning, and data visualization techniques. The program equips you with proficiency in Python programming, SQL, Power BI, and machine learning algorithms. You will also gain expertise in advanced Python for Data Science to build models, analyze large datasets, and communicate results effectively. MCIT’s Data Science Program has been crafted in collaboration with industry professionals and organizations to ensure the curriculum stays up-to-date with the latest advancements in the field. The program focuses on providing hands-on experience with real-world data challenges, preparing you for data science roles in various industries. Small, personalized classes and expert instruction make this program a great choice for aspiring data scientists.
Curriculum
Introduction to Data Science and Engineering
This course provides an overview of the fundamental concepts and practices in the fields of Data Engineering, Data Science and Big Data. It explores the techniques, tools, and methodologies used to collect, analyze, and derive valuable insights from data, catering to the growing demand for data-driven decision-making in various industries.
SKILLS GAINED
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Fundamentals of SQL Programming
The course focuses on teaching individuals how to use SQL Server product features and tools related to implementing a database server. This training provides students with the technical skills required to write SQL queries. This course on SQL Server is the basis for all various roles related to Data Science like business intelligence, Data Scientist, Big Data Developer, Database Administration.
SKILLS GAINED
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Data Visualization and Reporting Tool (Power BI)
This course on Data Visualization and Reporting teaches participants to use Microsoft Power BI for data analysis, visualization, and decision-making. It covers statistical concepts and techniques while focusing on creating reports, KPIs, and dashboards. Students will learn how to apply Power BI for practical data-driven insights. Upon completion, they will be proficient in the latest reporting technologies and methods.
SKILLS GAINED
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Fundamentals of Python programming
The Python Programming Course is designed to take participants from beginners to proficient Python developers. Whether you're new to programming or seeking to expand your coding skills, this course provides a comprehensive exploration of Python's versatility and applications. Through a blend of theoretical lessons, hands-on exercises, and real-world projects, participants will gain a solid foundation in Python programming and develop the ability to create a wide range of applications.
SKILLS GAINED
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Machine Learning
The course provides an in-depth and hands-on introduction to the topic of machine learning. The fundamental ideas, methods, and algorithms of machine learning are covered in this course. The course includes a thorough study of statistics, a variety of machine learning techniques related to both supervised, unsupervised machine learning, topics related to Deep Learning and an introduction to neural networks.
SKILLS GAINED
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Applied Data Science with Python
Advanced skills in Python is crucial for many data science roles. In this course, you will continue to build on the Python programming skills you acquired in the previous class by implementing machine learning using python libraries like Tensorflow, Pytorch, Scikit-learn You will learn all the advanced Python libraries that are being used in the real world by data scientists. Data Science with Python training help you advance your career as a data scientist.
SKILLS GAINED
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Career Development
This course is designed to teach students how to integrate themselves into the Canadian job market. In 4 short classes, we look at the kind of mindset that is needed to be successful in the job search process, how to shape the CV and cover letters, we practice interview skills, and much more.
SKILLS GAINED
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Data Science Project
In the last stage of your data science training, the newly acquired skills will be put into practice through a real-world project. The student will learn how to tackle a practical, industry-relevant problem by focusing on mentorship sessions for data processing and model creation. The project will provide you an opportunity to practice it in a practical setting.
SKILLS GAINED
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How to Apply
Scholarships
Financial Aid
Financial Aid
Admission Process
Eligibility
Financial Aid
Explore flexible options to support your education.
Government Loans
Apply through Quebec’s AFE
(Aide financière aux études) program.
Partner Loans
Access tailored loan solutions for:
Local entrepreneurs
Internationally trained professionals
Career-focused students
Need Help Applying?
Our team offers personalized guidance and support throughout the process.
Attend an infosession
Application process
1
Apply
Initiate the application
on our website after meeting all the requirements and relevant documents, with the relevant admission fee.
2
Review
3
Approve
4
Register
5
Admission
Reach us
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
Instructor Spotlight
Student stories
David Parr
@BeingMani97
My name is David Parr, Engineering graduate from McGill University. I am a Software developer, a set of skills that I substantially ascribed to Montreal College.
Abdullah Allukazai
@dvdwinden
After completing my diploma in BI at Montreal College, I was able to land my first job at Bell Canada, where I am currently working with the Intelligence & Analytics team.
Sihame Benhilima
Iam an Engineering grad(Diploma) from Morocco, I discovered MCIT during my Masters at the Technology University Montreal. Studying at MCIT helped me open up my Career prospects manyfold.With absolutely no background in IT I think the teachers helped me learn a lot in the program. The teachers industry experience helped us understand the needs of companies. Initially I was very unsure of my decision, but looking back I realise it was a worthwhile decision
Upcoming sessions & Schedule
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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