Data Science

Launch a successful career as a data scientist with award-winning training and dedicated career support.

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Please note that as of Jan 7 2023, the cost of tuition for courses that begin in April 2023 and beyond will increase to $12,495.

Dates & Tuition

  • January 2023

    Jan 16 - Apr 11, 2023

    Mon - Fri | 10AM - 5PM

  • January 2023

    Jan 22 - Aug 31 (6 Mths)

    Tue & Thur | 18:30 - 22, Sun | 10 - 17

  • January 2023

    Jan 21 - Feb 14, 2024 (12 Mths)

    Mon & Wed | 6:30PM - 10:00PM, Sat (8 times) | 10AM - 5PM

  • Full-Time & Part-Time
  • Live online classes
  • 420 course hours
  • Diploma




  1. Python, Data Structures & Algorithms

    Module 1 introduces the fundamentals of Python for Data Science. You’ll learn the fundamentals of programming with Python, how to organize your data with data structures, and basic algorithms.

  2. Math & Statistics

    Math and statistics are a fundamental skill for anyone working with large amounts of data. In this module, we'll review linear algebra, gradients, optimization, confidence intervals & testing, distributions, and linear models.

  3. Introduction to Machine Learning

    Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In this module we will explore supervised learning, clustering, and embedding.

  4. Data Engineering

    With Data Engineering, you will learn to leverage different data formats, from raw data to production analytical or predictive uses. We'll be looking at relational databases (SQL), MapReduce framework for NoSQL schemas, network/graphical data, text data (NLP), sequential data (time series), and image data.

  5. Data Science in Business

    Being a good Data Scientist requires clearly communicating information to stakeholders. In this module you will learn the skills necessary to manage a real project. This includes effective data analysis and presentation, Object Oriented & other programming paradigms, source code and data management, as well as deployment and maintenance.

  6. Team Project

    Together with a few classmates, you will build a project based on real-world data. This includes presenting an analysis of the data, justifying the approach, presenting a solution and demonstrating statistically the efficacy of your solution.

  7. Solo Project

    For your capstone project, you will develop a machine learning solution on complex real-world data, and deploy a prototype micro-service. You will be responsible for all decisions from what data to use and how, to the data pipeline and model.

Admissions Process

  • Apply Online

    Once you fill out our short 5-minute online application, one of our admission counsellors will contact you.

  • Speak With Your Admissions Counsellor

    Next, you'll talk 1-on-1 with an Admissions Counsellor who will help determine if Concordia Bootcamps is a good fit for you.

  • Choose Your Payment Option

    Once you've been accepted, your Admissions Counsellor will explain all of our available financing options and help you choose the best one for you.

  • Start Your Course

    When we've taken care of your financing and enrolment details, you'll be ready to start your course. Get ready for an incredible and rewarding journey.

Apply now or contact us to talk with an education advisor to learn more about our courses.

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