Dalhousie University

Overview

Dalhousie University offers a Master of Computational Biology and Bioinformatics that emphasizes research and interdisciplinary collaboration. This program merges computational methodologies with pressing biological and health-related issues, providing students with the tools to tackle complex challenges in these fields.

From the outset, students engage closely with faculty members in a supervised research group, honing their skills in data analysis, modeling, and thesis-based research, essential for success in computational biology and bioinformatics.

What you'll study

The curriculum is designed to blend graduate-level coursework with a supervised thesis component, aligning with your research interests while enhancing your computational and analytical expertise.

Core themes in the coursework may include:

• Privacy and IT
• Communicating Computer Science Ideas
• Technology Innovation
• Applied Programme Comprehension
• Data Management, Warehousing, and Analytics
• Serverless Data Processing

Thesis component:

• Students will conduct original research under the guidance of faculty, culminating in a thesis.
• The thesis will involve the application of computational, statistical, and mathematical techniques to address questions in biology, molecular biology, and health sciences.

Curriculum details:

For the latest information on course offerings, sequencing, and thesis requirements, please visit the official program page on the Dalhousie University website.

Entry requirements

Applicants are generally expected to have a minimum GPA of 3.0 on a 4.0 scale. Specific requirements may vary, so it is advisable to check the university's website for detailed admission criteria.

Career prospects

Graduates of the Master of Computational Biology and Bioinformatics program are well-prepared for a range of career opportunities in academia, healthcare, biotechnology, and computational research. The interdisciplinary nature of the program equips them with the skills needed to work effectively in diverse teams and contribute to innovative solutions in the life sciences and health sectors.