Data Analytics Courses in Canada 2025: Top Universities, Courses, & Job Prospects

University

Course Name

Annual Tuition Fee (CAD)

Duration

University of Toronto

Master of Science in Applied Computing (Data Science)

15,000 - 50,000

2 years

University of British Columbia

Master of Data Science

30,000 - 45,000

10 months

McGill University

Master of Science in Management Analytics

25,000 - 40,000

1.5 years

University of Waterloo

Master of Data Science

20,000 - 35,000

2 years

Simon Fraser University

Master of Science in Big Data

20,000 - 35,000

1.5 years

University of Alberta

Master of Science in Data Science

20,000 - 30,000

1.5 years

York University

Master of Data Science and Analytics

15,000 - 30,000

2 years

University of Ottawa

Master of Data Analytics

15,000 - 25,000

1.5 years

McMaster University

Master of Science in Data Science and Analytics

15,000 - 25,000

1.5 years

Ryerson University

Master of Science in Data Science and Analytics

15,000 - 30,000

2 years

College

Course Duration

Average Tuition Fees (CAD)

Douglas College

1 Year

18,787

Nova Scotia Community College

2 Years

11,762

Centennial College

3 Years

16,827

Toronto School of Management

1 Year

14,703

Okanagan College

2 Years

14,703

Trebas Institute

2 Years

14,540

University of Winnipeg

1 Year

21,238

Institution

Course

Tuition Fee (CAD)

Schulich ExecEd

Data Science and Predictive Analytics

500

WeCloudData

Data Fundamentals Course

2,000

Lighthouse Labs

Intro to Data Analytics

2,000

General Assembly

Data Analytics

3,100

General Assembly

Data Science

3,100

BrainStation

Online Data Analytics Course

3,250

CareerFoundry

Data Analytics Program

8,800

Schulich ExecEd

Master Certificate in Analytics and AI for Leaders

9,950

Level Of Study

Eligibility Requirements 

For Diploma and Certificate Data Analytics Courses in Canada 

• Must have completed 10+2
• Must have basic mathematics proficiency
• English language proficiency (IELTS 6.0 or TOEFL 80)

For Undergraduate Data Analytics Courses in Canada

• High School Diploma with minimum 70% overall
• Strong background in Mathematics, Statistics, and computing
• English language proficiency (IELTS: 6.5 or TOEFL: 88)

For Postgraduate Data Analytics Courses in Canada

• Bachelor’s degree in relevant field (Computer Science, Statistics, Business, Engineering, or Mathematics)
• Minimum GPA of 3.0 (or 75%)
• Valid GRE or GMAT score (if required)
• Work experience in analytics (if required)
• English language proficiency (IELTS: 6.5 or TOEFL: 90)

Scholarship Name

Grant Amount

Eligibility

Ontario Graduate Scholarship (OGS)

Up to CAD 15,000

Enrolled in a graduate program in Ontario

Vanier Canada Graduate Scholarships

CAD 50,000 per year

PhD students with academic excellence

UBC International Tuition Award

Up to CAD 3,200

Master’s and PhD students at UBC

University of Toronto Lester B. Pearson International Scholarship

Covers full tuition

Exceptional academic performance

McGill Entrance Scholarships

CAD 3,000 - 12,000

Undergraduate students with high academic achievement

Job Role

Average Annual Salary (CAD)

Data Analyst

71,385

Business Intelligence Analyst

82,163

Data Scientist

100,423

Machine Learning Engineer

122,667

Big Data Engineer

106,052

Database Administrator

75,056

Marketing Data Analyst

65,161

Risk Analyst

87,547

Skill

Description

SQL

Proficiency in structured query language for managing databases and handling large datasets.

Python

Mastery of this statistical programming language for high-level analysis and predictive analytics.

Spreadsheet Software

Strong knowledge of tools like Excel, widely used in business analytics.

Critical Thinking

Ability to analyze and derive insights from complex data, a crucial soft skill.

Data Cleaning

Managing inconsistent or missing data, essential for accurate analysis.

Communication Skills

Required for collaboration and explaining technical concepts to non-technical team members.

Writing Skills

Important for documenting analyses, reports, and recommendations.

Problem-Solving

Crucial for overcoming challenges and optimizing data analysis processes.

Research

Ability to retrieve data from reliable sources and find solutions to analytical problems.

Attention to Detail

Essential for detecting errors and inconsistencies in data and code.

Certification

Key Focus Areas

Eligibility Requirements

Validity & Additional Info

CompTIA Data+ Certification

Data mining, manipulation, visualization, reporting

18 to 24 months of practical analytics experience

Valid for 3 years, renewal via continuing education

Microsoft Certified Power BI Data Analyst Associate

Power BI, data preparation, modeling, visualization

Understanding of data repositories and processes

Offers instructor-led training and structured learning paths

Microsoft Certified Azure Enterprise Data Analyst Associate

Data analytics in Azure, querying, visualization

Experience with Power BI and advanced data analytics

Focused on cloud-based data analytics solutions

Associate Certified Analytics Professional (aCAP)

Business problem-solving, data methods, model-building

Master’s degree + 3 years of professional experience

Typically takes 2 months of preparation

Certified Analytics Professional (CAP)

Advanced analytics, data interpretation, decision-making

3 years (Master’s) / 5 years (Bachelor’s) / 7 years (Any degree)

Paid exam, includes CAP handbook and study guide

Visa Type

Details

Post Graduate Work Permit (PGWP)

Allow students to work for up to three years after completing their study

Federals Skilled Worker Program (FSWP)

A point based system that allows skilled professionals to apply for PR

Canadian Experienced Class (CEC)

For individuals with at least 1 year of work experience in Canada

Provincial Nominee Program (PNP)

A fast track Canada PR process for candidates nominated by a province

Global Talent Stream (GTS)

For highly skilled tech professionals, including data analyst and scientist