How to Earn Passive Income as a Data Scientist in Canada?

Looking for smart ways to supplement your data scientist income in Canada? With the growing demand for data professionals, now is the perfect time to explore passive income streams. According to Glassdoor, the average annual income of a data scientist in Canada is approximately CAD 95,000. However, savvy professionals are taking it a step further by monetizing their skills through online courses, content creation, and investments in AI.

This blog explores the best ways for Canadian data scientists to earn passive income, build long-term financial stability, and leverage their expertise in creative, low-maintenance ways. Let’s dive into the possibilities!

Take your skills to the next level — Explore Data Science Courses Online

Best Ways for Data Scientists to Earn Passive Income in Canada 

Whether you’re a beginner or a seasoned professional, there are multiple ways to monetise your skills beyond a traditional data science engineering salary. Here’s a quick overview:

Create and Sell Data Science Courses or Tutorials

Use online platforms to create engaging courses on Python, machine learning, or data visualization. Once live, they generate royalties long-term and position you as an authority in your niche.

Develop Data Science Tools or Software for Recurring Revenue

If you possess strong technical expertise, consider developing tools such as automation scripts, dashboards, or machine learning (ML)- based applications. These products can generate recurring income, often matching or exceeding a traditional data science engineering salary over time.

Writing & Selling Data Science E-books

Publishing e-books on platforms like Amazon or Gumroad allows you to package your insights for a global audience. This is ideal for increasing your data scientist’s average income with lower ongoing effort compared to live teaching or consulting.

Investing in AI & Data Science Startups

Leverage your domain knowledge to spot promising startups in AI or data analytics. Although this involves some financial risk, the payoff can be substantial, especially for those earning a stable income as a data scientist and seeking long-term growth.

Monetizing a Data Science Blog or YouTube Channel

Content creators in the data field can build a loyal audience by sharing real-world projects, tips, or industry updates. Monetizing through ad revenue, affiliate links, and sponsorships is a great way to earn beyond your data science engineering salary.

Also Read: How to Land a Data Science Job in Canada

Common Challenges & How to Overcome Them

Earning passive income alongside a full-time data science role can be rewarding, but it comes with its own set of challenges. Many professionals struggle with time management, especially when balancing project deadlines with content creation or product development. Others face technical hurdles or lack the marketing know-how to monetise effectively.

Here’s how to overcome these common barriers:

• Prioritize and Schedule: Utilize productivity tools to allocate time for passive income work without compromising your job performance.
• Start Small: Begin with manageable projects, such as writing e-books or blogs, before building full-scale courses or tools.
• Leverage Platforms: Utilize platforms like UpGrad to streamline marketing and target the right audience.
• Upskill Continuously: Sharpen both tech and soft skills to stay competitive and improve your passive income streams.

Overcoming these obstacles can significantly enhance your potential to get more than a data scientist’s average income.

Also Read: Best Universities for an Online Master’s in Data Science in Canada

Advance Your Career and Passive Income Potential with upGrad’s Data Science Programs

Explore new career paths and unlock passive income potential through data science programs offered through upGrad, an online learning platform that partners with top global universities. These programs equip you with practical skills in AI, machine learning, and analytics, empowering you to grow in your career or monetize your expertise. With flexible formats, industry-relevant content, and expert guidance, upGrad helps working professionals in Canada stay ahead in the competitive data science landscape.

Explore these online data science courses through upGrad!

• Master of Science in Data Science – Liverpool John Moores University (LJMU)
• Post Graduate Diploma in Data Science (E-Learning)
• Executive Diploma in Data Science and AI – IIIT Bangalore
• Post Graduate Certificate in Data Science & AI (Executive) – IIIT Bangalore

FAQs on How to Earn Passive Income as a Data Scientist in Canada

Q: What is the average income of a data scientist in Canada?
Ans: As of 2025, the average annual income of a data scientist in Canada is approximately CAD 80,000 – 95,000, with senior-level roles earning over CAD 1,00,000, according to Glassdoor.

Q: How can data scientists earn passive income?
Ans: Data scientists can earn passive income by creating online courses, selling e-books, building data science tools, starting monetized blogs or YouTube channels, and investing in AI startups.

Q: What are the best platforms to sell data science courses?
Ans: Top platforms include Udemy, Coursera, Skillshare, Teachable, and upGrad. While Udemy and Skillshare allow individual creators to sell courses directly, platforms like upGrad offer opportunities to collaborate on expert-led programs, especially for experienced professionals looking to teach at scale through structured formats and institutional partnerships.

Q: What are the risks associated with passive income streams?
Ans: Risks associated with passive income streams include time investment without immediate returns, platform dependency, intellectual property theft, and fluctuating audience engagement. It’s essential to diversify and protect your content.

Q: How does upGrad help data scientists grow their careers in Canada?
Ans: upGrad offers globally recognized data science programs, helping professionals upskill, gain certifications, and increase both active and passive earning potential in the Canadian job market.