Health Technology

The Master’s Degree program in Health Technology degree course delivered by the University of Turku provide a comprehensive knowledge of how data analytics and sensor technology can be utilized in health technology. The teaching focuses on how to apply signal processing, machine learning methods and Internet-of-Things technology for collection and analysis of health related data. Applications include, for example, wellness and health applications.

Job options

The employment percentage of those holding an MSc (Tech.) degree is high in Finland. Health technology related industry is today increasingly important globally and particularly in Finland. Fields of health technology are expanding fast, offering a wide range of different career opportunities. In addition to companies that are focused on wellness, medical or biomedical analytical solutions, this also includes other industries that are utilising health technology in their products, like global enterprises producing wearable devices capable of measuring heart related signals from a wrist of the user, for example.

Health technology is an area where there is a good employment possibilities or, if you want to be more independent, to launch your own start-up. There are also possibilities to work in the research, education, consult sectors or even continue studies towards PhD degree. This program puts emphasis on contemporary technologies and gives tools and knowledge to work with the near future ICT technologies making sure that at the time of graduation you have acquired up-to-date skills in the field, paving way to really make difference to society and humankind at large.

Career in research

The Master’s degree provides eligibility for scientific postgraduate degree studies. Postgraduate degrees are doctoral and licentiate degrees. TheUniversity of Turku Graduate School – UTUGScovers all of the disciplines of this program. Postgraduate degrees can be completed at the University of Turku.

Courses include:

• Knowledge and InnovationManagement

• Data Analysis andKnowledge Discovery

• Statistical Data Analysis

• Acquisition and Analysis of Biosignals

• Machine Learning Health TechnologyProject