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Seneca_Polytechnic
Seneca_Polytechnic

Bachelor of Data Science and Analytics (Honours) in Data Science and Analytics

Seneca Polytechnic, Canada

Canada

Location

The Honours Bachelor of Data Science and Analytics is a comprehensive four-year degree program designed to equip students with the skills and knowledge required to meet the growing demand for data-driven solutions in business and technology. Throughout the program, students develop expertise in identifying, analyzing, and interpreting complex datasets, using advanced algorithms and statistical methods to extract actionable insights that inform strategic decision-making. A strong emphasis is placed on artificial intelligence (AI) and machine learning, allowing students to design and... Read More

Course Entry Requirements

Review the entry and language criteria.

Choose your language proficiency test

* No IELTS, no TOEFL - this canada college doesn’t require an English test.

Duration

4 Years

Mode of study

Full-time

Application Fee

CAD 90

Annual Tuition Fee

CAD 19691

Total Tuition Fee

CAD 81767

The fees mentioned may vary and are for reference only. The exact tuition and other charges will be provided in your official offer letter.

Scholarship Details

Details depend on the scholarships and study programs selected

*Based on Academic merit, students can receive scholarships ranging from Up to 5000, depending on their performance and program criteria.

Offer response

14 Days

Backlogs accepted

No Backlogs Accepted

Mode of Study

Full-time

Post Study Work Permit

To Be Announced

Open Intake - 1

Sep 2026

Apply By

01/09/2026

Course Curriculum

Discover how each program is uniquely designed to inspire learning

The Honours Bachelor of Data Science and Analytics is a four-year degree program designed to equip students with the advanced skills and knowledge required to harness data for strategic decision-making across industries. The program begins with foundational courses in mathematics, statistics, programming, and data science, providing students with a solid grounding in computational and analytical techniques. As students progress, the curriculum delves into database design, data preparation, algorithms, data mining, and predictive analytics, emphasizing practical applications of machine learning and intelligent systems. Courses in business intelligence, data visualization, simulation, and high-performance computing further develop technical proficiency and the ability to analyze complex datasets. The program also integrates essential professional skills, including project management, research methods, presentation skills, and strategic analysis, ensuring students are prepared for collaborative, evidence-based decision-making in real-world environments. Work-integrated learning opportunities, including co-op placements, allow students to apply their knowledge in practical settings and gain industry experience. In the final year, students engage with specialized topics such as health analytics, business analytics, intelligent systems, and a capstone project, synthesizing technical and analytical skills to address complex problems. Professional options, including human-computer interaction, digital entrepreneurship, and advanced data analytics tools, further enhance career readiness, producing graduates capable of leveraging AI, analytics, and business insight to drive innovation and data-driven solutions.

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Course ROI Calculator

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Expected Annual Salary

CA$75,000 / year

CA$60KCA$90K

Total Tuition Fees (4 Years)

CA$81,767

Total Living Costs

CA$128,880

Total Investment

CA$210,647

Years to Payback

2.8 YEARS

Please note: ROI projections and hiring partners are indicative only. Actual results and career placements are subject to individual performance and recruiter requirements.

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