Stockholm University (SU)

The Master's Program in AI for Health is offered by Stockholm University, one of Europe's leading centers for education and research. The university is located in the heart of Sweden's capital, providing students with access to a vibrant academic environment, cutting-edge research facilities, and collaboration opportunities with leading industries in AI and healthcare.

Program Overview

• Program Name: Master's Program in AI for Health
• University: Stockholm University (SU)
• Program Code: SAIHO
• Credits: 120 ECTS (2 years)
• Language of Instruction: English
• Start Date: Autumn 2023
• Department: Department of Computer and Systems Sciences, Stockholm University

Program Description

The Master's Program in AI for Health at Stockholm University provides advanced training in artificial intelligence and its applications in healthcare and biomedical sciences. Students will gain expertise in AI methodologies, data science, and their role in improving diagnostics, treatment, and disease prevention. The program integrates fundamental AI concepts with specialized courses in health sciences to prepare future professionals for cutting-edge AI applications in medicine.

Program Structure

Year 1 - Fundamentals of AI and Health

Semester 1 (30 ECTS)

• Foundations of Data Science - 7.5 ECTS
• Introduction to Programming - 7.5 ECTS
• Health and the Emergence of Diseases - 7.5 ECTS
• Introduction to Information Security - 7.5 ECTS

Semester 2 (30 ECTS)

• Data Mining - 7.5 ECTS
• Biological Foundations of Health and Disease - 7.5 ECTS
• Natural Language Processing (NLP) - 7.5 ECTS
• Machine Learning - 7.5 ECTS

Year 2 - Advanced AI for Health Applications

Semester 3 (30 ECTS)

• AI for Business Architecture - 7.5 ECTS
• Research Topics in Data Science - 7.5 ECTS
• Explainable AI - 7.5 ECTS
• Reinforcement Learning - 7.5 ECTS

Semester 4 (30 ECTS)

• Independent Research Project in AI for Health (Master’s Thesis) - 30 ECTS

Admission Requirements

• A Bachelor's degree of at least 180 ECTS or equivalent in a relevant field (computer science, bioinformatics, medicine, biomedical sciences, or engineering).
• Proficiency in English (English 6 or equivalent).

Contact Information

For further details, visit the program page: Stockholm University - Ai for Health.