Full-time Course

Data Science

Fill the massive demand for data science specialists


Become a Data Scientist

Harvard Business Review called "Data Scientist" the sexiest job of the 21st century back in 2012. According to LinkedIn Emerging Job reports, Data Science jobs have increased 650% since 2012. There are over 500 data science-related job postings on Glassdoor Canada. Companies - big and small - know they need data scientists, but cannot fill the roles fast enough.

  • Dataanalytics3
    Create predictive models by learning to wrangle, analyze, and visualize data from our team of professional Data Scientist instructors.
  • Digitalmarketing1
    Take advantage of the demand for data and use the guidance of our full-time, in-house career coach to help you jumpstart your career.
  • Visualdesign2
    Develop hard skills like Unix, Git, SQL, Python, machine learning, and modeling techniques while creating your own data projects and applications.

What you will learn

In this program, you’ll take on real world problems by analyzing data sets for insights and presenting findings using statistics, programming, data modeling, and business knowledge.

  • Terminal

    Git, UNIX, & Relational Databases

    Gather, store, and organize your data using your basic data science toolkit: SQL, Git, and UNIX.

  • Python

    Data Analysis & Python

    Perform visual and statistical analysis on data using Python and its associated libraries and tools.

  • Api

    Machine Learning, Modeling Techniques, & Big Data

    Explore the differences between supervised and unsupervised learning through the application of various modeling techniques such as classification, regression, and clustering.

  • Team

    Critical Thinking & Synthesis

    Apply your analysis and modeling skills to real world data problems in fields like finance, marketing, and public policy.

  • Presentation

    Visualization, Presentation, & Reporting

    Learn to create reproducible presentations and reports and use data visualization tools to present your findings to key stakeholders.

Want more details about Data Science Course?

We will send you the full course information to your email

How we get you ready for your next career

Bitmaker General Assembly's approach to education involves more than just teaching you in-demand skills. This is a short course, but not a shortcut. Your effort make these 12 weeks as valuable as 2+ years in other environments. It's not easy and nothing but the most dedicated focus is required.

  • Market-ready skills: our data science curriculum is developed via the GA Standards Board compromised of industry-leaders from Spotify, Google, Nielsen and others.

  • Instructors: Our instructors are practitioners in their field and know the journey you're on. With small class sizes, we ensure the instructor-to-student ratio is optimal.

  • Job Readiness: Our full-time career coach is your go-to resource who is there until you land. They'll teach in-class, do one-on-one sessions and act as a bridge to our numerous hiring partners.

Day at Bitmaker

  1. Class

    Learn key skills and methods through lectures, discussions, and activities.

  2. Lunch

    Review morning lessons and labs (optional)

  3. Data Lab

    Practice new skills, work on group projects, and receive extra help from instructors

  4. Class Wrap-up

    Reinforce the key concepts of the day.

  5. Community

    Grow your network with meetups, happy hours, and community-wide hackathons (optional)

  6. Homework

    Take-home assignments that reinforce the day's teaching

Additional Information

We teach this in 20 other cities across 5 countries

Our number one goal is to ensure you have the skills to be a great data scientist and it takes a lot to get there. We’ve got the tools and people to help get you started on the right foot and succeed in landing that job.

  • Assessment-driven pre-work

    It’s vital all incoming students start at a similar level. Once you enrol, you’ll do a quick assessment that drives the right prework.

  • Homework

    Because the course is packed into a short 12-weeks, homework in the evenings and on weekends will be assigned which will help further reinforce what was taught in-class.

  • Placement

    Throughout and after the course, you will work with our career coach building soft-skills


Full-time, 12 Weeks Course

Additional Information

  • Immersive, in-person learning

    12 weeks of full-time coursework, with over 40 hours of lecture or assignment work per week.

  • A portfolio to stand behind

    Your course projects will showcase your skills and be powerful in interview settings.

  • Comprehensive career support

    Dedicated career coach to guide you toward your first data science role with facilitated interviews and introductions to our hiring partners.

Need financing?

Course financing

Need payment assistance? Our financing options allow you to focus on your goals instead of the barriers that keep you from reaching them. Our team can help walk through payment plans, financing partners or public programs you may be eligible for.

  • Employer Pay
  • FinanceIT
  • Ontario Gov.'s Second Careers
  • Immigrant Access Fund
  • Canada's Veterans Program
  • Canada-Ontario Job Grant
  • Student Loan for Banks
  • RRSP: Lifelong Learning Plan

Reach out to our admissions advisors and they can help provide answers to your financing questions.


How to apply

  1. 1

    Complete the application form. This will assign an Admissions Producer to you.

  2. 2

    A conversation with an Admissions Producer to talk about what outcomes you’re looking for and how Data Science fits in.

  3. 3

    Complete an admission task to see if you’ve got the right stuff.

Come see our campus

Have questions? Want to see the student life for yourself? Book a one-on-one visit with our admissions team and we'll show you around.

220 King Street West
Suite 200
Toronto, ON
Book A Visit


  • Will you get me a job after the course?

    We provide support in your pursuit for job, but it wouldn't be responsible to guarantee it. Our full-time career coach is with you every step of the way, helping you with your job search.

    Our Outcomes placement program undergoes a yearly audit by KPMG who validate our global placement numbers. This shows how serious we take placement and never make promises that are not backed-up and validated by impartial bodies like KPMG. As you do your research, it is important you ask other schools who validates their placement claims.

  • How challenging is this course?

    Data Science is an intense field with a lot of knowledge to build on the technical end. The course is intense and fast-paced over the 12-week. Your full commitment to in-class and out-of-class learning is pivotal. Our number one goal is to ensure you have the skills to perform as a data scientist and it takes a lot to get there.

  • What should I expect in terms of class size?

    We intentionally keep class sizes small, so the instructor-to-student ratio is maximized. Given the course teaches a lot of technical skills, we know small class sizes work best.

  • Are you accredited by the Ministry of Education?

    Yes. All our full-time, immersive classes go through an approval process by the Ministry.

  • Do you offer payment plan options?

    We understand these courses are a significant financial investment, so we provide several options to ease tuition payment. After submitting a down payment to save your spot in the course, you can choose the instalment plan that’s best for you. Additionally, we work with financing partners to offer low-cost loan options for eligible students.

  • Besides the hours spent in class each week, how much time do I need to dedicate to a course outside of the classroom?

    Our full-time Immersive students also devote additional time to portfolio projects, networking events with hiring partners, career services support, and more. Either way, our courses are designed to be rigorous and intensive, but, most of all – incredibly rewarding!

  • What type of jobs are there in Data Science?

    Large Tech Companies The Googles, Amazons and Facebooks of the world sit on a pile of usage data. They have large data teams ranging the entire span of roles to aggregate, clean and analyze their data to inform their business

    High Growth Tech Startups These are the Spotify, Snapchat, Uber, Netflix, and Airbnb. They are companies that rely on technology to deliver a consumer service. They usually have smaller teams lead by one Data Scientist, a BI analyst, and an engineer

    Data Consultancies/Government The government is a big employer of data roles. Government data roles are usually for "Data Analysts." Government consultancies like Accenture, Booz Allen are also often in search of data analysts and scientists.

    Financial Companies Financial companies were the first to employ "data scientists" - often referred to as "quants." Quants are the economic and math PhDs. These companies will most likely have a team of quants doing data analysis and financial modeling for their company

    Media/Advertising Companies Advertising, media companies collect A LOT of data and they need people to analyze that data so they can make the $$$. Places like Buzzfeed, Huffingtonpost, Gawker are all places that are building out their data teams

    Non-profits - Monitoring and Evaluation Roles The great thing about data - it's everywhere! Non-profits also employ data analysts/scientists because they need to determine the efficacy of their work

  • I want to get into Data Science, but I am a beginner. Am I a good fit for the immersive program?

    We are outcomes-oriented, which means once we understand your end goal, we can get you there, no matter how long it takes. What this means is that our Admissions Producer will provide a unique learning path for you, which will build you towards being ready to enrol in Data Science. This could be a series of free online learning and workshops, short-format classes and other tools and resources.

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