Sivuston käyttötapa: Mobiili

Master's Degree Programme in Digital Health and Life Sciences

Turun yliopisto
Yhteenveto
2 vuotta
englanti
Opintotukikelpoinen
Autumn
   
Full time
Turku
Maisteriopinnot ja itsenäiset maisteriohjelmat

Master's Degree Programme in Digital Health and Life Sciences

Study objectives

Master’s Degree Programme in Digital Health and Life Sciences offers extensive training in modern biosciences and/or digital health engineering.

The programme offers four tracks: Health Technology (M.Sc), Medical Analytics and Health Internet-of-Things (M.Sc (Tech)), Bioinformatics (M.Sc) and Molecular Systems Biology (M.Sc). Please see the description and application details of the Master of Science tracks from Studyinfo.

The students graduating from this cross-disciplinary programme will have acquired scientific and analytical skills, expertise in present theories and up-to-date technologies as well as practical skills including teamwork, leadership, and interpersonal skills in an international environment. The acquired methodological skills and advanced knowledge allow the students to continue their career paths in academia or industry.

In the Medical Analytics and Health Internet of Things track you will obtain expertise in medical data analysis and get skills to utilize Internet of things in healthcare.

Study contents

The programme offers four tracks with a specific focus on Digital Health and Life Sciences. The Master of Science (Technology) degree can be completed in one of the four tracks: Medical Analytics and Health IoT.

The Medical Analytics and Health IoT major brings together skills and principles from computer science and embedded systems as well as from medical sciences to build theoretical understanding and practical competences in the field. Unlike many traditional biomedical study programmes, which are often focused on signal processing and medical machinery, Medical Analytics and Health IoT puts emphasis on contemporary technologies and gives tools to work with the near future ICT technologies. This track has a strong focus on data analytics and medical Internet of Things while leveraging from machine learning, software engineering, embedded electronics, and information security that are strongly represented at Department of Future Technologies.

Hakeminen

Separate application period for Master's Programmes in English.

Tutkinto / todistus

Master of Science (Technology)

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