Stockholm University

Overview

The MSc in AI for Health at Stockholm University is designed to merge the principles of artificial intelligence with a deep understanding of health and disease. This innovative program equips students with the necessary skills to develop and assess machine learning techniques that can be applied in various healthcare contexts. Through a combination of theoretical knowledge and practical application, students will engage in a comprehensive learning experience that culminates in a degree project focused on real-world healthcare challenges.

What you'll study

Throughout the course, students will explore core concepts in AI and data science, alongside specialized topics related to health and disease management. Key areas of focus include:

• Foundational principles of artificial intelligence and machine learning.
• Data analysis and interpretation in healthcare settings.
• Design and evaluation of machine learning models for health-related applications.
• Ethical considerations and challenges in the use of AI in healthcare.
• Hands-on experience through projects that address real healthcare issues.

This curriculum ensures that graduates are well-prepared to leverage AI technologies to improve health outcomes and enhance patient care.

Entry requirements

Applicants to the MSc in AI for Health should possess a relevant undergraduate degree in fields such as computer science, data science, health informatics, or equivalent disciplines. Additionally, a strong background in mathematics and programming is essential. Proficiency in English is required, evidenced by standardized language tests such as IELTS or PTE Academic.

Career prospects