Montreal College of Information Technology
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Business Intelligence and Visualization Analyst LEA.CV: Profile Data Science

Data Science
Registration deadline:
For international students, it is highly recommended to register two months before the starting date. Talk to one of our advisors for more details about the registration process.


The Data Science curriculum offers in-depth instruction in data science and machine learning along with practical experience using important tools and technologies, such as Python, Tableau, and machine learning ideas. The final project for this course will prepare you for employment by giving you practical experience that can be applied to real-world challenges.

Data professionals are in great demand; according to the job bank of Canada, Over the years 2019 to 2028, a countrywide labor shortage is anticipated for this occupational category.


  • Data Science

    Get trained by Industry Experts

    Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.
  • Data Science

    Project-Based Learning

    Our curriculum is kept up to date with the latest industry trends ensuring all our graduates are prepared for the job market.
  • Data Science

    Learn while you Work

    Working closely with our industry expert instructors, they can provide guidance and help you network within the field, providing you with a unique advantage in the workforce.
  • Data Science

    State of the Art Infrastructure

    State of the Art facility with over 20 labs, Data centers and server setups in the core of the downtown hub, giving access to , transit, business & entertainment districts.
  • Data Science

    24/7 Lab access

    Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.
*Flexible schedules, Learn while you work *Over 5000 strong alumni network


Data Scientist

Download Outline

Learn about Data Science—what it is, who works as a Data Scientist, and what can be achieved through the discipline.  

You will receive a thorough introduction to Python's data analytics tools and methods in this course. It will introduce data cleaning and manipulation techniques.

The abstraction of Series and DataFrame as the key data structures for data analysis will also be covered, as well as tutorials on how to effectively use group by, merge, and pivot tables.

Students will graduate with the ability to take tabular data, clean it, manipulate it, and perform fundamental statistical analyses.

Having 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 applying them to analytical projects. 

You will learn Python for data science together with concepts such as data wrangling, mathematical computing, and more using a blended learning approach.

Data Science with Python training can help you advance your career as a data scientist.            

In this course you will learn how to use SQL to store, query, and manipulate data.

SQL is a special-purpose programming language designed to manage data in a relational database and is used by many apps and organizations across the globe.

This course aids in your mastery of Tableau Desktop -a widely used corporate intelligence, reporting, and data visualization tool. With the help of our Tableau training, you may advance your analytics profession and acquire employable skills.

Employers value Tableau skills highly for data-related positions, and our course teaches you how to utilize the tool efficiently for data preparation, interactive dashboard creation, the addition of different dimensions, and in-depth analysis of outliers.

The mathematical underpinnings of machine learning are given at the start of this course. Before moving on to multivariate and logistic regression, it begins with a review of linear algebra and univariate linear regression.

Furthermore, it switches topics every week to cover a wide range of machine learning models and approaches. Deep learning, support-vector machines, and principal component analysis are a few of these.

Finally, it discusses relevant practical issues like how to plan and use significant machine learning initiatives. You'll have a thorough understanding of machine learning, its ideas, and its methodologies at the end of the course. In addition, you'll be able to use core machine learning algorithms like k-means clustering and back propagation.

You'll get the chance to put your newly acquired skills into practice through the project.

You will learn how to tackle a practical, industry-relevant Data Science problem through focused mentorship sessions, from data processing and model creation to reporting your business outcomes and insights.

The project is the last stage of data science training and will provide you an opportunity to practice it in a practical setting.



Career starters : For those people who are either entering the job market or are interested in making a shift in their current job status. MCIT’s BI program can help you transition into, or start a new career as a fully equipped Business Intelligence Developer.
Career advancers : Get a grip on how-to techniques, tools and terminologies to collect and process business information to derive insights and make business decisions
Professionals : Skilled data miners and analytics personnel, the BI program can further help you learn how to take that data, formulate actionable plans and present it to relevant stakeholders.
Fresh Graduates : New university graduates who'd like to expand their skillset and augment their academic credentials.
Data Science
Sihame B

BI Developer, Groupe Touchette

Data Science
Mario A

BI Developer, National Bank, Canada

Data Science
Aasma A

BI Developer

Data Science
Amadou Tapa S

SAP Supply Chain Management Professional


Applicants with Post-secondary studies in Business Management, Social Science or Information Technology, are a good match for this Diploma Course.  Programming background not required. Students need the following (minimum) ministry stipulated requirements: Secondary V / High School Diploma with good knowledge of Microsoft Office Applications (Word, Excel, PowerPoint)

To determine your eligibility, you need to meet with an advisor.

Upon successful completion, the college grants the student the AEC Diploma:  Business Analyst and Visualization.

900 hours



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I am international student from Haiti. I evaluated multiple colleges and choose Montreal College of Management taking into consideration several factors including tuition fee, program content and delivery methodology. Looking back, I feel that I have a made a right choice. The school’s blended training methodology of combining instructor led classroom training with e-learning aids has augmented and fast tracked my learning. I am glad that I have joined Montreal College and I am well and truly on my way to fulfill my career dreams.

Sacha Vieux Roy — Former student


    Registration deadline:
    For international students, it is highly recommended to register two months before the starting date. Talk to one of our advisors for more details about the registration process.

    — F.A.Q —

    Each student is provided with a PC "desktop" in the classroom. However, students can bring their own laptops.
    Yes, there're Teaching Assistants (TAs) available for this program to help you during your labs and ease your learning process.

    Montreal College of Information Technology

    200-1255 Robert-Bourassa Blvd.
    Montreal, Quebec H3B 3B2

    +1 514-312-2383
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