This Master's programme is at the intersection of human physiology and digital technology, focusing on health data measurement, analysis, and machine learning. You will gain comprehensive knowledge of how data analytics and sensor technology can be applied in health technology, including signal processing, machine learning methods, and Internet-of-Things (IoT) technology for collecting and analyzing health-related data. Applications range from wellness and health apps to diagnostic and remote monitoring solutions. The programme is designed with sustainability in mind, utilizing online teaching, e-learning, electronic exams, and virtual labs to minimize environmental impact. Students are encouraged to engage in internships and student exchanges, with guaranteed subsidies for internships and grants for exchange programmes. This program is also part of an international double-degree collaboration with the EIT Digital Master School, offering opportunities in Data Science and Emotion Artificial Intelligence.
The programme structure includes common studies, a core module in Health Technology, language studies, a Master's Thesis & Project module, a thematic module/minor subject, and other studies.
Graduates gain interdisciplinary knowledge in health technologies and biomedical engineering, preparing them for diverse roles in the rapidly expanding global health technology sector. The programme equips students with scientific, analytical, and practical skills for both industry and academia.
Applications are evaluated based on the relevance of previous degrees, course grades, language test results, a motivation letter, CV, relevant work experience, and a possible interview.
The first-year tuition fee must be paid before registration. An 'Early Bird' discount of 2,000 EUR is available if the study offer is accepted and the fee is paid within 28 days of admission decisions. Scholarships covering 50% of tuition fees are available for subsequent study years based on academic merit.
The tuition fee for non-EU/EEA citizens is 12,000 EUR per year. The first-year tuition fee must be paid before registration. An early bird discount of 2,000 EUR is available if the study offer is accepted and the fee is paid within 28 days of admission.
Yes, scholarships covering 50% of tuition fees are available for subsequent study years based on academic merit for students who completed their studies at the University of Turku and are subject to tuition fees.
You need a Bachelor's degree (at least 180 ECTS) in a relevant field like Computer Science, Biomedical Engineering, or Information Technology. Excellent English language proficiency, proven by a recognized test, is also required.
The program is designed to be completed in two years. Year 1 includes common studies, core health technology modules, and a thematic module, while Year 2 focuses on the Master's Thesis & Project module.
Graduates are prepared for roles such as Health Technology Specialist, Biomedical Engineer, Data Analyst in the health sector, AI/Machine Learning Specialist (Health), Product Developer, Research Scientist, or Entrepreneur.
Applications are submitted through the Studyinfo.fi portal during the specified application period, typically January/February. You will need to provide academic transcripts, degree certificates, a CV, motivation letter, and English language test results.