Bioinformatics

Master

In Bergen (Norway)

Price on request

Description

  • Type

    Master

  • Location

    Bergen (Norway)

  • Duration

    2 Years

  • Start date

    Different dates available

Visualization is a field of increasing relevance in molecular life science and its applications for example within medicine and environmental science. Advanced algorithms and methods from machine learning and data analysis are used to process and analyze large complex data sets. Data may come from measurements such as sequencing of DNA or RNA or measurements of protein abundance and activity. Molecular biology data are typically analyzed together with more high-level information for example about disease, response to treatment, or other parameters. Within bioinformatics we develop and apply methods for processing analyzing and presenting molecular biology data. Examples of applications are within personalized medicine prediction of response to treatment, within ecology analysis of molecular data reflecting species abundance in an environmental sample.

Programme profile
Bioinformatics is a field where one develops and use programs and databases to represent, store and and analyze molecular biology data. This entails development of algorithms and use of techniques from for example machine learning, pattern recognition, statistics and visualization. Within bioinformatics one develops methods, tools and databases that can be used in molecular biology and biomedical projects. Using bioinformatics one can also address biological and medical research questions and to an increasing extent projects within life science are driven by computational approaches such as bioinformatics and systems biology.

Facilities

Location

Start date

Bergen (Norway)
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Start date

Different dates availableEnrolment now open

About this course

After studying this programme, a candidate with a Master¿s degree in informatics specializing in bioinformatics, will have substantial knowledge and advanced skills in bioinformatics, systems biology, analysis of molecular biology data as well as substantial skills in related programming. Due to the interdisciplinary nature of bioinformatics, the students are also given an introductory overview of specialized areas such as biology and medicine. In their Master's programme, the students are given a thorough introduction to scientific working principles, e.g., taking state-of-the-art research into account and presenting their own work.

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Reviews

This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 5 years

Subjects

  • Bioinformatics
  • Qualification
  • Knowledge
  • Skills
  • Competence
  • Learning
  • Relevant
  • Demonstrate
  • Specialized
  • Interdisciplinary

Course programme

Learning Outcomes
  • A candidate who has completed his or her qualification should have the following learning outcomes defined in terms of knowledge skills and general competence:
Knowledge

The candidate
  • Can explain the theoretical foundation for the basic bioinformatic methods and discuss and justify the use of particular methods for solving relevant problems.
  • Can explain and discuss theory and/or scientific articles in selected, advanced subjects in bioinformatics and closely related fields of study.
  • Can show that he/she has an advanced knowledge of informatics in general, and specialized knowledge about a limited area in bioinformatics, related to the Master¿s thesis.
  • Can demonstrate sufficient knowledge about a biological field of study (e.g. molecular biology) such he/she is able to work in interdisciplinary teams
Skills

The candidate
  • Can develop programs to execute bioinformatic analyses.
  • Can use key data bases, tools and programming libraries for bioinformatics.
  • Can plan and perform analyses of real or simulated molecular biological data and consider the results in light of the hypotheses that are being tested.
  • Can perform an independent, limited research project under supervision, but with a great degree of independence and his/her own initiative in accordance with research ethics and norms.
  • Can collect, analyze and apply state-of-the-art knowledge in the field.
  • Can analyze and critically examine scientific sources of information and use them to structure and formulate a line of reasoning and new ideas in bioinformatics.
  • Can analyze, interpret and discuss his/her own results in a professional and critical way, and in light of methods and theories in the field.
General competence

The candidate
  • Can generally analyze scientific problems and participate in discussions with different approaches and solutions.
  • Can make good written and oral presentations of scientific topics and research results.
  • Can communicate about professional problems, analyses and conclusions in bioinformatics, with both specialists and the general public.
  • Can reflect upon key, ethical and scientific problems in his/her own work and in that of others.
  • Can demonstrate an understanding of and respect for scientific values about openness, precision, reliability and the importance of differentiating between knowledge and opinions.

Bioinformatics

Price on request