Master's Degree Programme in Digital Health and Life Sciences (2017-2018)

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Master's Degree Programme in Digital Health and Life Sciences (2017-2018)

Master's Degree Programme in Digital Health and Life Sciences 120 op
Common courses and language studies 20–30 ECTS
Compulsory for all students of each track. In Medical Analytics and Health Internet-of-Things track the courses form a minor subject (20 ECTS).
Essential introductory studies 10–15 ECTS
Whether the following courses can or must be included into the degree is determined by the student’s previous education and skills as well as by the track by agreement with the staff of each track.
Research and career 10–15 ECTS
SYST1162 is compulsory in the M.Sc. tracks while BIDI0002 is compulsory in the M.Sc. (Tech) track. The other courses are compulsory in all tracks.
DTEK0044 Project Management, 2 ECTS
DTEK8079 Working Life Skills, 2 ECTS
SYST1161 Research Seminar, 2 ECTS
Language studies 0–5 ECTS
All foreign students whose native language is not Finnish must pass Finnish language courses (KIFF0003) worth at least 5 credits. All students with Finnish education background (suomenkielinen peruskoulu) are excused for the course and must instead pass virkamiesruotsi (KIRU2321 and KIRU2341) either in their BSc. or MSc. Degree
Major subject studies 60–70 ECTS
Student completes track specific major subject studies
Health Technology track 60–70 ECTS
Interface to healthcare systems 15 ECTS
Courses are common to Health Technology and Medical Analytics and Health Internet-of-Things students
Capstone Project 15 ECTS
DTEK8076 Capstone Project, 15 ECTS
Optional studies 5–15 ECTS
Medical Analytics and Health Internet-of-Things track 60–70 ECTS
Students of Medical Analytics and Health Internet-of-Things may specialize either to Medical Analytics or Internet-of-Things
Interface to Healthcare systems 15 ECTS
Courses are common to Health Technology and Medical Analytics and Health Internet-of-Things students
Capstone Project 15 ECTS
DTEK8076 Capstone Project, 15 ECTS
Minor subject 20 ECTS
In the Medical Analytics and Health Internet-of-Things track the minor subject (20 ECTS) is to be formed from the following courses of the “Common courses and Language studies” module: BIOI2241 Introduction to Statistical Analysis, 5 ECTS; BIOI2250 Introduction to Programming, 5 ECTS; TKO_3103 Data Analysis and Knowledge Discovery, 5 ECTS; SYST1162 Principals of Scientific Communication 2 ECTS; DTEK0044 Project Management, 2 ECTS; DTEK8079 Working Life Skills 2 ECTS; SYST1161 Research Seminar, 2 ECTS; BIDI0002 Introduction to Innovation and Business, 5 ECTS.
Optional studies 0–10 ECTS
Bioinformatics track 60–70 ECTS
Optional studies 20–30 ECTS
Optional studies allow focusing on specific topics and/or provide support on topics not covered in student’s previous studies. The courses listed below are highly recommended, but students may also choose other courses. All optional courses must be approved by the staff and will be recorded in the Personal Study Plan. The track’s contact person for MOOCs (DTEK2017 and DTEK 2018) is Juho Heimonen (juho.heimonen@utu.fi
Courses in related fields
Whether the following courses can or must be included into the degree is determined by the student’s previous education and skills.
Text mining
TKO_2099 Text Mining, 5 ECTS
TKO_2098 Information Retrieval, 5 ECTS
Systems biology
SYST1010 Systems Biology, 4–6 ECTS
KABI5071 Signalling in plants, 2 ECTS
Others
BIOI4380 Bioinformatics Project, 2–6 ECTS
DTEK2017 MOOC 1, 3–5 ECTS
DTEK2018 MOOC 2, 3–5 ECTS
TILM3517 Basics of R-Language, 2 ECTS
BIMA2105 Biomedical Ethics, 1 ECTS
Molecular Systems Biology track 60–70 ECTS
Molecular Systems Biology major subject studies 57 ECTS
BIOI4464 Bioinformatics Methods, 5 ECTS
KABI5073 Transcriptomics, 4 ECTS
SYST1110 Proteomics, 3–4 ECTS
SYST1010 Systems Biology, 4–6 ECTS
Optional studies 3–13 ECTS
Optional studies allow focusing on specific topics and/or provide support on topics not covered in student’s previous studies. Courses listed below are highly recommended, but students may also choose other courses. Optional courses must be approved by the staff and will be written down in the Personal Study Plan.
SYST1011 Laboratory skills, 1 ECTS
SYST1130 Practical training, 1–4 ECTS
SYST1140 Teaching practice, 1–4 ECTS
SYST1180 Text book exam, 2–4 ECTS
BIMA2105 Biomedical Ethics, 1 ECTS
BIOI4463 Introduction to Genomics, 5 ECTS
BIOI4240 Structural Bioinformatics, 5 ECTS
BKEM1012 Bionanoscience, 3 ECTS
KABI5045 Bioenergetics lectures, 2 ECTS
KABI5046 Bioenergetics practicals, 2 ECTS
Biokemian laitos
Opintokokonaisuudet
MDP in Digital Health and Life Sciences