Data Science Memorial University of Newfoundland

Overview

Data science is increasingly recognised as one of the most vital professions of the 21st century, driven by the vast amount of data generated in our digital world. As individuals navigate online environments, they leave behind a significant data trail, which has become invaluable. The demand for skilled data scientists who can structure, analyse, and derive insights from this data is surging, with expectations of continued growth in this sector over the coming decades.

Memorial University is committed to preparing students for the data-driven future. The MDSc programme is jointly offered by the Departments of Mathematics and Statistics and Computer Science, ensuring a comprehensive educational experience. The university's strong emphasis on practical skills, combined with its academic excellence, positions it as a leader in data science education. Students benefit from state-of-the-art facilities and resources that enhance their learning experience.

The tuition fees for the Master of Data Science programme are structured as follows:

• International students: CAD 1,074 per semester
• Other Canadian students: CAD 826 per semester

Visit the Fees and Funding section for a breakdown in your local currency.

The MDSc programme comprises ten courses, along with a series of case studies and a capstone project, providing a robust framework for learning. The curriculum covers a variety of essential topics, including:

• Predictive modelling
• Machine learning
• Artificial intelligence
• Data visualisation
• Big data mining

This structure is designed to ensure that graduates possess a thorough understanding of data science methods and techniques, enabling them to tackle complex data-rich challenges across various sectors.

Graduates of the MDSc programme at Memorial University are well-equipped to enter a variety of industries. Alumni have found success in roles such as data analysts, machine learning engineers, and data scientists. They are employed by leading organisations across sectors including technology, finance, healthcare, and government, where they apply their expertise to drive data-informed decision-making.