Computer Science (Data-centric Computing) Memorial University of Newfoundland

Overview

The Computer Science (Data-centric Computing) at Memorial University of Newfoundland provides students with a rigorous foundation in the processing and analysis of large-scale datasets. This concentration is designed to meet the high demand for skilled computer scientists capable of supporting decision-making processes in government, industry, and the biomedical sciences. Students learn to manage every stage of the data lifecycle, ensuring they can derive meaningful insights from complex information structures.

Why Computer Science (Data-centric Computing) at Memorial University of Newfoundland?

Choosing this concentration allows students to demonstrate a high level of technical specialisation within the broader field of computing. Memorial University of Newfoundland offers a curriculum that bridges the gap between theoretical computer science and practical data application. The programme is specifically structured for those who wish to focus on data-centric techniques at the higher level of their undergraduate studies, preparing them for roles where data is essential to organisational success.

Tuition Fee Breakdown

• International fee: CAD 22500 per year
• National fee: CAD 6750 per year

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

Syllabus

The curriculum requires the completion of 18 credit hours within the concentration, focusing on core data management and analytical techniques. Modules may include:

• Data Preparation Techniques
• Data Mining
• Data Visualization
• Database Systems
• Machine Learning
• Bioinformatics
• Scientific Computing
• Matrix Computations and Applications
• Natural Language Processing

Careers with Computer Science (Data-centric Computing)

Graduates are prepared for a variety of high-demand roles in sectors where data-driven decision-making is critical. The skills acquired during the programme are highly valued in business, social sciences, and biomedical research. Potential career paths include data analysis, database administration, and specialised software development. The programme also provides a strong foundation for students intending to pursue advanced research or graduate studies in data science and computational analysis.