Queen's University

Overview

The MSc in Biostatistics at Queen's University equips students with the essential skills to design and analyze health-related research using advanced statistical methods and computational techniques. This program emphasizes the application of biostatistical principles in real-world health contexts, preparing graduates for impactful careers in healthcare research and data analysis.

In addition to rigorous academic training, the program includes a supervised practicum, allowing students to gain hands-on experience in a health research environment, enhancing their consulting abilities and practical knowledge.

What you'll study

The curriculum for the MSc in Biostatistics integrates foundational statistical theories with specialized health research methodologies, culminating in practical training through a supervised practicum. Key areas of study include:

• Epidemiology
• Advanced Methods of Biostatistics
• Core Course in Mathematical Statistics
• Statistical Inference
• Computational Data Analysis
• Survival Analysis

Practicum: A vital component of the program, the practicum lasts approximately four months, during which students work with health research teams to apply biostatistical methods to ongoing projects, honing their consulting and communication skills in either academic or industry settings.

Capstone/Thesis: The format for final assessment may vary; students should confirm with the department regarding specific requirements.

Entry requirements

While specific GRE or GMAT scores are not mandated for admission, candidates should demonstrate a strong academic background and overall application strength. Relevant coursework in statistics or mathematics is advantageous for prospective students.

Career prospects

Graduates of the MSc in Biostatistics can pursue diverse career paths in academia, healthcare, government, and private sectors. Potential roles include biostatistician, data analyst, epidemiologist, and research consultant, among others. The skills acquired through this program prepare students to tackle complex health data challenges and contribute meaningfully to public health initiatives and research advancements.