Data Science University of Manitoba

Overview

The Data Science programme at the University of Manitoba provides a comprehensive foundation in the collection, analysis, and visualisation of complex information. This interdisciplinary course merges mathematics, statistics, and computer science to prepare students for the evolving demands of modern industry.

Students can pursue this degree as a Major, which requires the completion of 120 credit hours. The curriculum is designed to offer educational breadth, allowing learners to select elective subjects from various disciplines across the institution. This flexibility ensures a well-rounded academic experience alongside technical training.

The Faculty of Science provides both full-time and part-time study modes to accommodate different learning requirements.

Why Data Science at the University of Manitoba?

The University of Manitoba offers this degree as its newest science programme to address the urgent global need for skilled data experts. Students benefit from a curriculum that transforms raw data into actionable knowledge for decision-making. The faculty focuses on high-demand skills that align with rapid employment growth.

The institution provides state-of-the-art facilities and a supportive community for diverse learners. By choosing this programme, students gain access to dedicated academic advising and a wealth of research opportunities. The co-op partnerships further enhance the institutional strength by linking classroom theory with local and global business needs.

Tuition Fee Breakdown

• International fee: CAD 24100 per year
• National fee: CAD 6700 per year

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

Syllabus

Modules may include:

• Data Structures and Algorithm
• Tools and Techniques for Data Science
• Data Science with Real World Data Sets
• Linear Algebra
• Statistics and Computing

Careers with Data Science

Graduates are prepared for high-demand roles in a variety of sectors, with data scientist frequently cited as a top-ranking career. The demand for these specialised skills is projected to drive significant employment rises across multiple industries. The programme equips students to support both local and international organisations.

Common career paths involve transforming data into useful knowledge for optimal decision-making in business, technology, and research. Through the co-op option, students often secure valuable work experience that leads directly to graduate employment. The skills acquired are applicable to any industry reliant on big data and statistical interpretation.