Honours Bachelor of Data Science and Analytics
| Program start date | Application deadline |
| 2026-01-01 | - |
| 2025-09-01 | - |
| 2027-01-01 | - |
| 2026-09-01 | - |
| 2027-09-01 | - |
Program Overview
Honours Bachelor of Data Science and Analytics (DSA)
Program Overview
The Honours Bachelor of Data Science and Analytics is a four-year degree program designed to meet the growing need for data-driven business solutions. Students will gain expertise in identifying, analyzing, and interpreting data using advanced algorithms and develop skills to draw meaningful insights that drive strategic outcomes.
Program Emphasis
The program places a strong emphasis on the integration of artificial intelligence (AI), equipping students with the ability to apply machine learning techniques and intelligent systems to solve real-world challenges. Learning will be enhanced through a blend of theoretical knowledge and hands-on training, including case studies, guest speakers, and a co-op work experience.
Skills Developed
Throughout this program, students will develop the following skills:
- Management skills that demonstrate initiative, personal responsibility, and accountability to work in the field of data science
- Communication and negotiation skills to work in diverse inter-professional group environments
- Problem-solving, reasoning, and critical thinking skills to engage in evidence-informed and ethical practice and decision-making
- Technical skills in machine learning and AI, including the ability to apply AI models to analyze complex datasets and automate data-driven solutions across various domains
Work Experience
Mandatory Degree Co-op
A work experience that includes at least one term in a formal work environment. In most cases, the work term(s) is a paid position that is completed between two academic semesters and requires a minimum of 420 hours of work. Students must be in good standing and meet all identified requirements prior to participating in the work experience. The successful completion of the co-op work term(s) is required for graduation. Eligibility for participation does not guarantee that a work position will be secured. Additional fees are required for those participating in the mandatory co-op stream regardless of success in securing a work position.
Program Availability
- Canadian Applicants
- International Applicants
Start Dates and Locations
| Start in | Location | Availability |
|---|---|---|
| Sept. 2025 | Newnham | Open |
| Jan. 2026 | Newnham | Open |
Availability is subject to change, and a seat is not guaranteed.
Program Delivery
This program is offered in Seneca's hybrid delivery format with some courses available in Seneca's flexible delivery format. Some coursework is online, and some must be completed in person. Students will need to come on campus to complete in-person learning requirements.
Career Opportunities
As a graduate of this program, students may pursue future career options, such as:
- AI specialist
- Business data strategist
- Business intelligence analyst
- Data analyst
- Data architect
- Data engineer
- Data scientist
- Database developer
- Predictive modeler
- Quantitative analyst
Program Details
- Duration: 8 Semesters (4 Years)
- Credential: Honours Bachelor Degree
- School: School of Software Design & Data Science
- Campus: Newnham
- Delivery: Hybrid
Post-Graduation Work Permit (PGWP) Eligibility
This program meets PGWP eligibility requirements.
