Bachelor Of Science - Data Science

Program overview

The Bachelor of Science — Data Science (B.Sc.) at Mount Royal University is designed to equip students with essential skills in data analytics, coding, and machine learning. This 4-year degree program prepares graduates for the digital workforce by combining mathematics, statistics, and computer science. Students will engage in hands-on projects and applied learning experiences, enabling them to analyze complex data and build predictive models. The program emphasizes the importance of data in decision-making across various industries, making it a vital choice for those looking to thrive in a data-driven world.

Program structure

The Bachelor of Science — Data Science program is structured to provide a comprehensive education in data science over a 4-year period. Key features of the program structure include:

• Work-integrated learning opportunities, including co-op placements.
• Hands-on coursework that covers core areas such as mathematics, statistics, and computing.
• Applied learning experiences through immersive study abroad and field school opportunities.
• Focus on developing practical skills in machine learning and data analytics.

This program is designed to ensure that students not only gain theoretical knowledge but also practical experience that is crucial for their future careers in data science.

Featured Experiences

The Bachelor of Science — Data Science program offers a variety of unique experiences that enhance learning and professional development:

• Co-op placements that allow students to apply their skills in real-world settings before graduation.
• Hands-on projects that foster practical skills in data analysis and machine learning.
• Opportunities for study abroad, providing exposure to global data science practices.
• Field schools that offer immersive learning experiences in diverse environments.
• Interdisciplinary learning opportunities that broaden students' perspectives and skills.

Career Options

Graduates of the Bachelor of Science — Data Science program can pursue a variety of exciting career paths in Canada. Some potential job roles include:

• Data Scientist: Analyze complex data sets to derive insights and inform business decisions.
• Data Analyst: Interpret data and provide actionable recommendations based on findings.
• Data and AI Domain Architect: Design and implement data architecture solutions for AI applications.
• Machine Learning Developer: Create algorithms and models that enable machines to learn from data.
• Quantitative Researcher: Conduct research using statistical methods to analyze data trends.
• Statistical Programmer: Develop programs to analyze data and generate reports for various applications.
• Data Engineer: Build and maintain the infrastructure for data generation and processing.
• Risk Analyst: Assess and analyze risks to help organizations make informed decisions.

These roles are in high demand, reflecting the growing importance of data science in various industries across Canada.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.