Bachelor in Data Sciences and Analytics

Brock University in Saint Catharines, Ontario, is a well-rounded Canadian university established in 1964 and known for combining strong academics with a lively campus experience. With around 19,571 students and more than 2,400 international students, Brock provides comprehensive undergraduate and graduate programs across business, humanities, social sciences, sciences, and health disciplines. The university emphasizes experiential learning and community engagement, offering modern facilities and a supportive campus culture.

Brock’s academic portfolio includes more than 100 degree programs that integrate research opportunities, co-op placements, and hands-on learning to prepare students for professional careers. Signature strengths include applied research, business education, and health-related programs, supported by faculty who prioritize mentorship and practical outcomes. Campus resources extend to centres for entrepreneurship, student services, and cultural activities that enrich the student experience.

International students at Brock receive tailored supports such as orientation programs, academic advising, language assistance, and career services that connect graduates with Canadian and global employers. The university’s manageable campus size and strong community ties help international learners integrate quickly while accessing robust internship and research possibilities. For students seeking a balanced academic journey with practical training and welcoming student life, Brock offers a compelling environment.

The Bachelor in Data Sciences and Analytics at Brock University is a 4-year program for students who want to combine data science and business analytics. It's one of only two programs in Canada that offers this unique combination, helping students develop strong skills in programming, data analysis, and business intelligence.

Students will learn from a curriculum that includes courses like Introduction to Data Science, Machine Learning, and Data Mining. They'll also develop hands-on skills in programming languages like Python and R, and learn about data visualization, statistical modeling, and predictive analytics.

Graduates can pursue careers as Data Scientists, Business Analysts, Financial Analysts, Data Engineers, or Quantitative Analysts. They can work in industries like finance, healthcare, or technology, and be employed by companies like banks, consulting firms, or government agencies.