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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Post Graduate Certificate in Product Management

Duke CE

12 Months

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Data Science and Analytics Courses Online

Embrace the future with Data Science and Analytics programs delivered online through prestigious institutions in Canada on the upGrad platform. Improve your skills in the advanced technologies that employers are actively seeking for today’s workforce, and position yourself competitively as a data science professional.

  • Industry‑Relevant Curriculum
  • Real World Projects and Case Studies
  • Networking Opportunities and Career Support
  • Flexible & Affordable Learning
  • Career Support & 1:1 Mentorship
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    10M+ Learners

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    100+ Countries Represented

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    87% Course Completion

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    20M+ Learning hours/year

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    80+ University Partners

Upskill with Our Top Notch Programs

Data Science and Analytics

Online Master of Science in Data Science from Liverpool John Moores University
Liverpool John Moores University

Dual Alumni Status

Master of Science in Data Science
  • Masters
  • 18 Months
  • Recognized by WES
Online Executive Diploma in Data Science and AI from IIIT Bangalore
IIIT Bangalore

14+ Tools & Languages

Executive Diploma in Data Science and AI
  • Diploma
  • 12 Months
  • IIITB Alumni Status
Online Post Graduate Certificate in Data Science & AI (Executive) from IIIT Bangalore
IIIT Bangalore

5 Unique Specialisations

Post Graduate Certificate in Data Science & AI (Executive)
  • Certifications
  • 6 Months
  • 7+ Case Studies & Projects

Key Highlights of Online Data Science & Analytics Courses in Canada

1. Data Science and Analytics Degrees in Canada: What You Need to Know

The emergence of online data science degrees and certifications offers a viable and robust alternative for professionals seeking to transition their careers. Whether graduate certifications, postgraduate diplomas, or master’s degrees, learners in Canada can access flexible, online, industry-aligned programs for career advancement.

Online Data Science and Analytics programs are available to learners in Canada, in partnership with leading global universities and educational institutions, to provide learners with the opportunity to reskill affordably and accessibly. Due to the high demand for data-driven insights, professionals must upskill to secure high-paying, future-proof jobs. Hence, online learning opportunities geared towards working professionals are excellent opportunities to help them grow in this field.

Why Pursue a Data Science and Analytics Career in Canada Now?

Canada is currently experiencing an exponential increase in demand for data-driven professionals. Companies across various sectors have turned to data-driven insights to guide their business strategies and workflows, adopting performance-based practices. Thus, it creates a volume of career opportunities for data science and analytics professionals.

The following reasons further ensure why it is the best time to pursue a Data Science career in Canada:

  • High Demand: Canadian industries are looking for capable talent to leverage business value from data.
  • Competitive Salaries: Data science roles offer excellent salaries, with significant opportunities to grow.
  • Opportunities across Sectors: Data science roles exist in technology, finance, healthcare, e-commerce, and more.
  • Future-Proof Jobs: With the growth of AI and big data, demand will continue to grow for the best Data Science jobs.

Who Should Consider a Data Science & Analytics Degree in Canada?

Data Science is a well-paying and interesting career option suitable for anyone looking to build a career in technology, business, or problem-solving. The following candidates and professionals can consider a Data Science and Analytics degree in Canada:

  • Fresh Graduates: Applicants with a graduation degree.
  • IT Professionals: Professionals from technology, banking, consulting, or any data-focused industries.
  • Engineers: Those with strong analytical and programming skills can advance their careers with these certifications.
  • Business Analysts: These courses help enhance data-driven decision-making and provide key technical skills.

Data Science and Analytics Eligibility & Admission Criteria

Anyone with a background in mathematics, statistics, programming, or related fields is eligible to pursue data science. Basic requirements include:

  • Academic Degree: Any bachelor’s degree holder can pursue data science courses. A STEM background is helpful but not mandatory.
  • Math and Statistics Background: A basic understanding of math and statistics is useful but not mandatory.

Career Opportunities and Data Science Jobs in Canada

A degree or diploma in Data Science can lead to several lucrative job opportunities in Canada, including:

  • Data Scientist: Analyze data and build predictive models.
  • Data Analyst: Interpret datasets to provide business insights.
  • Machine Learning Engineer: Develop AI and ML models for automation and prediction.
  • Business Intelligence (BI) Specialist: Build dashboards and tools for strategic decision-making.
  • Data Engineer: Design and maintain data pipelines.
  • AI Researcher: Work on advanced algorithms and AI solutions.

Data Science Companies in Canada

Canada is home to a wide range of leading data science and AI-focused companies, offering diverse roles and opportunities. Some of the top companies include:

Employer Industry
Google Technology and AI
Amazon Web Services (AWS) E-Commerce and Cloud
Microsoft Software and Cloud Services
IBM Technology and Consulting
Accenture Technology & Consulting Services
Meta (Facebook) Social Media and VR/AR

Building career-ready skills in data science takes practice in the real world. Learners can gain practical experience and mentorship to close the gap between learning and application.

  • Build practical skills in Python, SQL, R, and machine learning.
  • Gain hands-on experience with real-world datasets and industry projects.
  • Improve career prospects with global exposure and professional networking.

Skill Sets Required for Success in the Data Science and Analytics Field

To succeed in data science, you need both technical expertise and strong people skills. Online data science certifications can help you build both hard and soft skills.

Hard Skills

  • Python, SQL, R: Essential programming tools for working with and analyzing data.
  • Machine Learning: Create models to find patterns and make accurate predictions.
  • Data Visualization: Turn complex data into clear, easy-to-understand visuals.

Soft Skills

  • Problem-Solving: Approach challenges with clear, data-backed solutions.
  • Business Understanding: Apply insights to solve real-world business problems.
  • Communication: Present findings effectively to technical and non-technical teams.

For mid-career professionals, balancing work and skill development can be challenging. That’s why flexible online data science programs with leading universities worldwide are ideal. You can learn at your convenience, without pausing your career, and advance your data science knowledge alongside your job. With guided modules, interactive sessions, and practical projects, professionals in Canada can upskill effectively.

Overview of Data Science and Analytics Curriculum and Course Structure

The online data science program is designed to help working professionals gain both theoretical knowledge and hands-on experience, building job-ready skills.

Program Highlights:

  • Step-by-Step Learning: Cover topics like data analysis, machine learning, visualization, and big data in a structured sequence.
  • Practical Projects: Work with real datasets and industry-based case studies.
  • Specialization Choices: Focus areas such as AI, Cloud Computing, Business Analytics, or Big Data.
  • Flexible Format: Learn at your own pace while balancing work and life.
  • Ongoing Support: Quizzes, assignments, and mentor feedback to reinforce learning.

Core Topics Covered in the Online Data Science and Analytics Courses

The Data Science and Analytics program equips learners with the critical skills required to earn a top-tier Data Science certification and gain a competitive edge in Canada’s job market.

Core Topics Include:

  • Advanced Math and Programming
  • Data Analysis and Exploration
  • Data Visualization
  • Cloud Computing and Big Data
  • Foundations of Machine Learning
  • Deep Learning and NLP
  • Research Methodologies
  • Data Engineering: Distributed Data Processing with Hadoop
  • Cloud-Native SQL Databases

Tools and Technologies Covered

Online Data Science programs teach the most in-demand tools and technologies used by professionals in Canada, ensuring strong job readiness.

Here are the key tools and programming languages covered:

  • Python: Widely used for data analysis, machine learning, and automation.
  • R: Specialized language for statistical analysis and visualization.
  • SQL: Essential for managing and querying relational databases.
  • Tableau: Data visualization tool for interactive charts and dashboards.
  • Hadoop: Framework for distributed storage and large-scale data processing.

Data Science Specializations and Elective Options

Top Data Science programs offer elective tracks and specializations to align learning with specific career goals.

Specialization Options:

  • Data Analysis: Interpret and visualize data to uncover insights.
  • Data Engineering: Build and maintain scalable data pipelines and architectures.
  • Artificial Intelligence (AI): Explore advanced AI systems and applications.
  • Machine Learning: Develop predictive models for business and research use cases.
  • Business Analytics: Use data insights for strategic decision-making.
  • Cloud Computing: Manage and analyze data using cloud-based platforms.
  • Big Data Analytics: Work with large-scale datasets and extract insights efficiently.

Hands-On Projects and Practical Experience

Explore hands-on projects and real-world applications to bridge the gap between theory and practice:

Key Experiences:

  • Work on industry-relevant data science projects.
  • Apply theoretical concepts through practical case studies.
  • Develop strong problem-solving skills through complex challenges.
  • Showcase completed projects to demonstrate capabilities to employers.

Duration, Mode, and Flexibility of the Online Data Science Courses

Online data science courses are structured to support diverse learners, offering flexible yet rigorous study formats.

Program Duration Mode Features
Master of Science in Data Science from LJMU 18 months Online Fortnightly mentorship sessions with industry experts.
Personalized 1:1 coaching
Executive Diploma in Data Science and AI by IIIT-B 12 months 100% Online Up-to-date modules integrated with Generative AI.
Personalized Industry Sessions
Post Graduate Certificate in Data Science & AI (Executive) by IIIT-B 8–8.5 months Online Complimentary Python Programming Bootcamp.
Dedicated Student Support

Canada boasts a strong network of universities and institutions delivering online data science and analytics programs that combine academic excellence with industry relevance.

Universities Program Eligibility Key Highlights
Liverpool John Moores University Master of Science in Data Science A Bachelor’s degree with a minimum of 50% mandatory. - Complimentary Python programming bootcamp
- Weekly live sessions with industry experts and faculty
- Optional on-campus immersion
International Institute of Information Technology Bangalore (IIIT-B) Executive Diploma in Data Science and AI A Bachelor’s degree with a minimum of 50% marks. - 3-Month free programming Bootcamp for Beginners
- Capstone Project tailored to your chosen domain
International Institute of Information Technology Bangalore (IIIT-B) Post Graduate Certificate in Data Science & AI (Executive) A Bachelor’s degree is the minimum eligibility criterion. - 100% online
- Complimentary Python Programming Bootcamp
- Exclusive access to the AI Profile Builder

Online Data Science & Analytics Programs offered on the upGrad platform are designed to help you gain industry-ready skills and accelerate your career in the evolving world of data.

  • Industry-aligned curriculum: The program is developed in partnership with top universities and industry-leading organizations to teach in-demand skill sets. Learners gain exposure to real-world applications and stay current with industry needs.
  • Globally recognized certifications: Completing the program earns you certifications from prestigious institutions such as IIIT Bangalore and Liverpool John Moores University, adding credibility and enhancing employment prospects in both local and international markets.
  • Hands-on learning: The Data Science course includes industry projects and a capstone project, enabling learners to apply theoretical knowledge in practical scenarios and build strong problem-solving skills.
  • Expert mentorship: Experienced mentors guide learners through complex concepts and projects. They provide one-on-one support and career guidance to help learners progress steadily and enhance their employability.
  • Flexible learning formats: Learners can access live sessions and blended modules based on their schedule, making it easy to balance learning with professional and personal commitments.

Several data science courses in Canada offer government scholarships and grants that help cover tuition fees and other related expenses for aspiring students.

  • Government Scholarships and Grants: Canada provides multiple government-funded scholarships and grants to support learners pursuing data science programs. Many of these offer partial or full coverage of tuition and other educational expenses.
  • University-Specific Scholarships: Several private universities and institutions offer merit-based scholarships to eligible learners.
  • Loan Options and Financial Assistance: Learners can also access education loans and other financial aid options to help them pursue data science courses in Canada.

Choosing the right online Data Science and Analytics program in Canada depends on assessing your personal career goals and learning preferences. Here are some factors to consider:

  • Analyze Course Content: Look for programs that blend theoretical knowledge with practical experience through projects, case studies, and capstone work to help professionals address real business challenges.
  • University Reputation: Ensure the university or platform has a strong reputation in Canada or globally. Review rankings, accreditation, and research output. A reputed institution can strengthen employment prospects and provide valuable networking opportunities.
  • Analyze Curriculum & Experiential Learning Options: Choose programs that offer a rigorous curriculum with the right balance of theoretical concepts and practical exposure.
  • Evaluate Faculty Expertise: Opt for institutions that offer access to experienced faculty with industry expertise and relevant academic or professional backgrounds.
  • Review Alumni Experiences: Explore alumni feedback to understand their program experience, learning outcomes, and the support received during and after completion.

What is data science, and how do you get into a data science career in Canada?

Data science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract insights from structured and unstructured data. To begin a data science career in Canada, you can pursue degrees, certificates, or bootcamps. A strong foundation in math, statistics, and programming (Python or R) offers a competitive advantage. Building projects, maintaining a portfolio, and specializing in areas like machine learning or data visualization can further strengthen your profile.

How to learn Data Science and Analytics in Canada?

You can learn data science and analytics in Canada by enrolling in academic programs such as online Bachelor's or Master's degrees, or through online certifications offered on the upGrad platform in collaboration with top global universities.

What is the average salary of a data scientist in Canada?

The average salary of a data scientist in Canada is approximately CAD 91,000 as of October 2025. However, salaries vary based on factors such as experience, location, company size, and job role.

What are the fees for data science and analytics in Canada?

Tuition fees for data science and analytics programs in Canada vary depending on the university, program level, and duration. International students can expect moderate to high fees, reflecting the advanced curriculum and applied training these programs offer.

How to Utilize Data Science in Marketing?

Data science enhances marketing by transforming raw data into actionable insights. It helps brands create personalized campaigns, segment customers effectively, predict market trends, and improve ROI and customer experience.

Data Science vs Data Analytics vs Data Engineering

Data Science focuses on building models and algorithms to extract insights and make predictions.
Data Analytics involves interpreting data to answer questions and support decision-making.
Data Engineering is centered on designing, building, and managing systems that collect, store, and process data.

What career opportunities can I expect after completing the course?

Graduates of data science programs can pursue roles such as Data Analyst, Data Scientist, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, or Data Architect. These roles span industries like finance, healthcare, technology, and e-commerce.

Can I pursue a Data Science course part-time while working?

Yes. Several part-time data science programs—online, hybrid, and flexible—allow professionals to upskill while continuing full-time work.

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DS & AI : Add value and be a part of large job pool worldwide

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93% professionals acknowledge the pivotal role of DS and AI in business
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80% organizations embrace data products
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Access the various career development support services offered by upGrad to help you achieve your professional goals.

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  • Further your career at 1/10 of the cost to the same on-campus program

Learn and Earn

  • Get world-class credentials without leaving your job from the comfort of your home

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  • Learn through a curriculum created by the industry for the industry
  • Learn and get coached by accomplished practitioners from around the world

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