Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Archived Curricula Guide 2016–2018
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Curricula Guides » Faculty of Science » Department of Biochemistry
MDP in Digital Health and Life Sciences

Programme description

The programme offers four different tracks with specific focus on digital health and life sciences:

  • Health Technology
  • Medical Analytics and Health Internet-of-Things (IoT)
  • Bioinformatics
  • Molecular Systems Biology.

The goal of the Health Technology major is an interdisciplinary collaboration between information technology and health sciences. This track consists of studies from the fields of software engineering, information systems and nursing science, giving an excellent stepping stone for students to plan, develop and implement health technology solutions and products for clinical practice and personalised health care. Adapting theoretical knowledge to implement and tune a working solution to a real-life interdisciplinary challenges in an international setting is also an essential part of your studies in this track.

The Medical Analytics and Health IoT major brings together skills and principles from computer science, embedded systems and medical sciences in order to build understanding of theory and to gain 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 study track has a strong focus on data analytics and medical Internet of Things while at the same time leveraging from machine learning and software engineering, embedded electronics and security that are strongly represented at the Department of Future Technologies.

When you choose Bioinformatics as your major subject, you will focus on analyses of many kinds of biomedical data, such as DNA sequences, gene expression levels, and protein structures. Since human genome sequence and its variations are at the core of personalised medicine, a growing industry, more professionals are constantly needed both for developing analysis methods and for running the analyses. You will be participating in real research during your studies and will get experience in working in a multidisciplinary team of experts.

Molecular Systems Biology offers extensive training in modern molecular biology and specialised education focused on systems biology. In Molecular Systems Biology track, you will get a solid understanding of the theories and concepts behind state-of-the-art technologies used for systems biology research in a variety of molecular bioscience disciplines. Hands-on training in a laboratory during practical courses and research projects allows you to develop methodological proficiency in current systems biology techniques. The track facilitates strong expertise and active participation in modern bioscience research.

Learning outcomes

Specific, competence-based learning outcomes of this programme can be found in the Learning outcomes sections of each track’s major subject studies. Education is given in English, and the students of this international programme learn to work together with associates from different countries and backgrounds.

Health Technology

Students will obtain both practical and theoretical skill in the area of health technology. Particularly students will gain understanding of health informatics, especially management of health care data and information using variety of technologies. Students will also gain knowledge on business and innovation in start-ups, interaction design and programming skills.


Medical Analytics and Health IoT

Students will obtain both practical and theoretical skill in the area of medical analytics and Health Internet-of-Things. In this track the students have opportunity to specialize either to Medical Analytics or Health Internet-of-Things. Students specializing in Medical Analytics will learn medical data analytics, machine learning in the context of medical data and software skills.


Students specializing in Health IoT will learn instrumentation issues related to medicine, embedded hardware-software co-design, biosignal capturing and analysis, and building IoT systems.



The students will have theoretical knowledge and practical skills in the key fields of bioinformatics, computational biology, and systems biology. After finishing they will be able to perform analyses of DNA and protein sequences, protein structures and gene expression data, and interpret the results in their biological context.

Molecular Systems Biology

MDP graduates will have expertise in current theories and state-of-the-art technologies in systems biology, including transcriptomics, proteomics and bioinformatics.


General programme structure

The Master’s Degree Programme in Digital Health and Life Sciences is a two-year programme of 120 ECTS credits. The degree is comprised of:

  • Common courses which provide you essential knowledge needed in modern bio-health sciences as well as transferrable skills including mandatory language studies
  • Track-specific major subject studies that will provide training in the state-of-the-art theories and practical skills relevant to the field
  • Master’s thesis, and its associated research project and seminar, where you will apply your newly acquired knowledge
  • Optional studies in different thematic areas and special themes

Personal study plan

Every student prepares a personal study plan (PSP) with the aid of the staff in order to determine the exact content of their studies which depend on placement exams, previous education and experience as well as personal goals. If the student has a degree in which the relevant studies in the applicable fields are insufficient, the university may require that the student performs additional studies (supplementary studies, max. 60 credits) in addition to Master's degree studies. The supplementary studies will be stated in the PSP.


UTU students with a B.Sc. degree in Biochemistry, Biology or Computer Science, or a B.Sc. (Tech) degree in Computer technology have a possibility to continue their studies in the Master’s Degree Programme in Digital Health and Life Sciences. Students holding a bachelor's degree from other Finnish or foreign universities or Finnish universities of Applied Sciences (ammattikorkeakoulu) have to apply for the programme in a separate call.

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