Brock University

Overview

The Bachelor of Science in Data Sciences and Analytics at Brock University merges computational data science with financial analytics, equipping students with the skills needed to build, analyze, and convey data-driven insights. This program emphasizes programming, big data systems, statistical computing, and visualization, allowing students to specialize in either Financial Analytics or Computational Data Sciences.

What you'll study

The curriculum encompasses core courses in programming, big data systems, statistical computing, and analytics communication, complemented by specialization-focused study and a capstone experience.

• Core foundations: Courses may include Programming for Big Data, Storage and Retrieval of Big Data, Statistical Computing with R, and Data Visualization and Intelligence.
• Specialization options: Students can choose to specialize in Financial Analytics or Computational Data Sciences, with course selection varying by term and academic planning.
• Capstone: The Capstone Project integrates technical methods, analytics, and the communication of results, providing practical experience.
• Honours/Co-op pathway: Additional requirements and sequencing may apply for students choosing the Honours or Co-op options.

Note: Course offerings may change; students should verify their degree plan with Brock’s program advising resources.

Entry requirements

There are no specific GRE or GMAT requirements for this program. English language proficiency is essential, and students may demonstrate this through recognized tests such as the Duolingo English Test or TOEFL.

Career prospects

Graduates of the Data Sciences and Analytics program are well-prepared for a variety of careers in data analysis, financial analytics, and computational data science. They can pursue roles in industries such as finance, technology, healthcare, and more, leveraging their skills to analyze and interpret data to drive decision-making processes.