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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Arkistoitu opetussuunnitelma 2016–2018
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIOI4468 Master's Thesis 20 op
Organised by
Person in charge
Filip Ginter

Learning outcomes

The student is able to search scientific literature, critically evaluate its content, and apply the search results in scientific research. The student can report and critically discuss the outcomes of a scientific research project. The student has written presentation and argumentation skills to engage in a constructive dialogue with related fields. The student can appreciate the possibilities and limitations of bioinformatics methods in the application domain and in the society at large.


The Master's thesis (pro gradu) includes both the outcomes of the thesis research project written and the review of the related literature in the form of a scientific publication. The recommended length of the thesis is 60-80 pages. Before the thesis can be evaluated the student must pass a maturity examination related to a topic of the thesis.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Thesis / dissertation
  • In English

Evaluation and evaluation criteria

The thesis is evaluated by the supervisor and a second examiner. The decision of acceptance or rejection is made by the head of the department. A special grading scale is used: approbatur, lubenter approbatur, non sine laude approbatur, cum laude approbatur, magna cum laude approbatur, eximia cum laude approbatur or laudatur.

Recommended year of study

2. year autumn
2. year spring

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Tulevaisuuden teknologioiden laitos
MDP in Bioinformatics
MDP in Embedded Computing
MDP in Digital Health and Life Sciences (Tech.)