Bachelor in Data Science

Simon Fraser University, located in Burnaby, British Columbia, is a research-focused institution known for interdisciplinary learning and community engagement. Founded in 1965, SFU enrolls over 35,300 students, including around 5,000 international students, and offers a broad portfolio of undergraduate and graduate programs across arts, sciences, business, communication, engineering and health sciences. The university balances strong research output with student-centered teaching and experiential opportunities.

SFU emphasizes hands-on learning through co-op, internships, community-based research and industry partnerships that connect classroom theory with real-world challenges. Its campuses provide modern facilities and research centers that support innovation across disciplines, while faculty and students collaborate on projects that address social, environmental and technological issues. The university’s location near Vancouver offers cultural vibrancy and access to regional employers and research networks.

Prospective international students can expect robust support in areas such as admissions advising, English language preparation, housing and career services. SFU’s vibrant student life, clubs and volunteer programs help newcomers build networks and gain leadership experience. Applicants should review program-specific requirements, scholarship options and experiential learning pathways to tailor a study plan that aligns with their academic ambitions and career objectives.

The Bachelor in Data Science program at Simon Fraser University is a four-year degree that teaches students various analytical methods in business and industry, focusing on technological solutions. This program is ideal for students who want to pursue a career in data science or related fields. The main advantages of this program include a strong foundation in problem-solving skills and the ability to make evidence-based decisions from data.

The curriculum for this program includes courses from Statistics, Computing Science, Math, and Business. Students will develop skills in data analysis, programming, and statistical modeling. The program includes hands-on components, such as data science projects and case studies, to help students apply theoretical concepts to real-world problems. Students will learn to use tools such as R and Python to analyze and interpret data.

Graduates of this program can pursue careers as Data Analysts, Business Intelligence Developers, Quantitative Analysts, Data Scientists, or Marketing Analysts. They can work in various industries, including finance, healthcare, and technology, and can be employed by companies such as banks, hospitals, or tech firms.