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Education

Specialization

Bioinformatics

  • Years2 years
  • ECTS credits120

Introduction

Objectives and content

Objectives

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.

Content

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.

The bioinformatics group at the University of Bergen was the first of its kind established in Norway, and also one of the first internationally. Today the group is organized as a centre ¿ Computational Biology Unit (CBU) ¿ that also includes staff from other departments. The group is engaged in extensive national and international collaboration concerning development and use of bioinformatics methods. CBU offers education within bioinformatics at the bachelor, master and doctoral level. Courses within bioinformatics have codes starting with BINF.

What you Learn

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.

Study Period Abroad

Study period abroad

You can plan study periods abroad in consultation with your supervisor as a part of the master agreement.

How to Apply

Admission Requirements

This programme is avalible for citizens from within the European Union/EEA/EFTA.

Follow these links to find the general entry requirements and guidelines on how to apply:

Semester

Autumn

Admission Requirements

General admission criteria:

You must have obtained a first degree (bachelor's degree) of three or four years duration from an approved institution of higher education.

The applicant must have completed (possibly as part of the bachelor¿s degree) at least 80 ECTS of Mathematics and Informatics/Computer science, of these 80 ECTS, at least 40 ECTS must be in Informatics/Computer science, and at least 20 ECTS must be in Mathematics. If both INF100 and INF109 are part of the Bachelor's degree, the applicant will only get credit for INF100.

Starting autumn 2022: Mathematics like MAT101 and equivalent, does not count towards the required ECTS in mathematics.

To qualify for admission, the applicant must have an average grade of C or higher (according to the Norwegian grading system) in the major (of Mathematics and Informatics/Computer science) of the Bachelor's degree.

Additional credits in Mathematics and/or Informatics can be an advantage.

Documentation of proficiency in English is also necessary if you have an international background.

Note that the master's programme has a limited number of places.

See each programme option/specialization for more information about aims and content.

For international self-financing applicants:

The Master's Degree Programme in Informatics is not available for international applicants residing outside of the Nordic countries, the European Union/EEA and Switzerland.

Applicants who reside in Norway:

You apply online through the website soknadsweb.uib.no

Application deadline on soknadsweb.uib.no for students residing in Norway (with Norwegian ID-number):

For study start August: April 15.

For study start January: November 1.

For information about application and admission procedures, see this link: http://www.uib.no/en/matnat/54992/international-master-applicants-residing-norway

More information

About the programme

See full study plan