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Master of Science
On Campus
Accomodation
KTH Royal Institute of Technology
Stockholm
Sweden

Data-driven Health

About

The Master of Science in Data-driven Health at KTH Royal Institute of Technology is a two-year, full-time program that combines advanced data analytics with healthcare and medical applications. This interdisciplinary program focuses on utilizing data science, machine learning, and statistical modeling to improve health outcomes, optimize healthcare systems, and support medical research. Students will study a range of topics such as bioinformatics, health informatics, predictive modeling, and the ethical implications of data usage in healthcare.

Graduates of this program are well-prepared for careers in health data analytics, medical research, and healthcare technology development. KTH Royal Institute of Technology’s emphasis on cutting-edge research and strong industry partnerships ensures that students have the practical skills and knowledge to contribute to the digital transformation of healthcare.

Key Facts

Program Details
Degree: Master of Science
Location: Stockholm, Sweden
Academic Information
Area of study: Applied Mathematics
Study Format
Study Type: On Campus
Format: Full-time
Language
-

Key Facts

  • Program Title: Data-driven Health
  • Degree Type: Master of Science
  • Duration: 2 years
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 15 January 2027
  • Location: KTH Royal Institute of Technology, Sweden
  • Field of Study: Applied Mathematics
  • Language of Instruction: English

Program Structure

Semester 1 – Foundations of Data-driven Health
• Introduction to Data Science in Healthcare
• Health Data Analytics and Management
• Machine Learning for Health Applications
• Research Methods in Data-driven Health

Semester 2 – Advanced Data-driven Health
• Predictive Analytics and Healthcare Decision Support
• Big Data and Cloud Computing in Health
• Bioinformatics and Personalized Medicine
• Elective Modules in Data-driven Health

Semester 3 – Specialized Data-driven Health
• Health Systems and Digital Health Technologies
• Data Privacy and Ethics in Health Data
• AI and Machine Learning in Medical Diagnosis
• Fieldwork/Research Project in Data-driven Health

Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Topics in Data-driven Health
• Final Presentation & Research Evaluation

Career Opportunities

Graduates of the Master of Science in Data-driven Health program are prepared for careers in health data analysis, biomedical informatics, and healthcare technology. They can take on roles such as health data scientist, biomedical researcher, healthcare analytics consultant, and clinical informatician. The program’s focus on data-driven decision-making in healthcare ensures strong career prospects in hospitals, health tech companies, pharmaceutical firms, and research institutions.

Why Choose This Program

The Master of Science in Data-driven Health program provides students with advanced training in the application of data science techniques to healthcare and medical research. Students learn how to analyze complex health data, develop predictive models, and make data-driven decisions to improve patient outcomes. The program’s interdisciplinary approach ensures that graduates are well-prepared to contribute to innovations in healthcare, medical research, and personalized medicine.

Contact Information

For further information, please contact the admissions office at:
Phone: +46 8 790 60 00
Email: info@kth.se
Address: KTH Royal Institute of Technology, Brinellvägen 8, 114 28 Stockholm, Sweden

Duration
-
Tuition fee
$19,141.00/year
Location
Stockholm, Sweden
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