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Education and Training Resources

Master of Science in Bioinformatics

University/Institute: Johannes Kepler University Linz (JKU)
Location: Austria - Linz
Focus: Bioinformatics
Recommended Undergraduate Degrees: Biology, Chemistry, Computer Science, Math/Statistics, Other: Physics, Medicine
Degree Offered: BS/BSc/BA/B.Eng (2 years)BS/BSc/BA/B.Eng (Major/Primary Degree)

Key characteristics of program:

BROAD ADMISSION PROFILE
The master study of bioinformatics in Linz is open for students with a degree in computer science, biology, chemistry, physics, mathematics, medicine, or related fields (at least bachelor level). In the first semester, the knowledge of all students is leveled by bridge modules that are individually tailored to the specific needs and qualification profile of the students.

STRUCTURED BY MODULES AND IN ENGLISH
The master study of bioinformatics in Linz is 4 semesters long and is structured into modules that contain thematically related courses some of which can be chosen by the students. In all modules, English courses are available to ensure that non-German-speaking students can pass them successfully.

MACHINE LEARNING AND MATH
The master study of bioinformatics in Linz has a special focus on data analysis by machine learning and mathematical approaches to systems biology.

STATE OF THE ART METHODS
In the seminars, the project, and the master thesis, the student has to solve state-of-the-art problems related to bioinformatics. Most master theses will lead to publications.

Program Goals:

The master study in bioinformatics in Linz aims to provide insights into bioinformatics methods and software and to develop competency in problem solving in the fields of biology, medicine, life sciences, and computer science. The latter includes to adapt, to modify, and to design and implement bioinformatics algorithms on different software and hardware platforms.

To reach these aims, the student aquires knowledge in statistics, machine learning, sequence alignment and analysis, information systems, databases, mathematical modelling, data visualization, and systems biology.

The master aims at conveying knowledge to students in the following areas:

FUNDAMENTAL KNOWLEDGE:
Fundamental knowledge in computer science, biology, biochemistry, biophysics, mathematics as well as in the central subjects of bioinformatics.

SPECIAL KNOWLEDGE:
Specialized courses and current topics of bioinformatics. The specialized courses are both in computer science and in biology, mathematics, chemistry or physics.

METHODS:
Theoretical and practical knowledge of bioinformatic methods. Especially analysis of problems, analytical and logical thinking, understanding and representation of complex dependencies and structures. Masters in bioinformatics know how to use and how to apply the methods and techniques of bioinformatics and how to access and use the public available software and data base resources adapted to the problem at hand.

INNOVATION:
Readiness and ability to scientific research as well as to independently and systematically advance bioinformatics.

CONTINUING EDUCATION:
Readiness and ability to independently learn further knowledge, especially training the handling of new methods and techniques of bioinformatics. Specialization in specific subjects and following new developments.

INTERNATIONALITY:
Supported visits of foreign countries and exchange programs and courses in foreign languages. Solid knowledge of the English colloquial and technical language in order to communicate with international partner institutions.

CRITICAL FACULTY: Critical and responsible use of the methods and techniques of bioinformatics regarding questions of ethic and of social and environmental effects of new technologies.

SOCIAL COMPETENCE:
Ability to work in a team, willingness and ability to cooperate, management capabilities, and expertise in presenting and
moderating.


Additional Information

Year Program Established: 2006
Scholarships/assistanceships may be available: Yes
Type of academic terms: Semester

Average number of applicants per year: 15
Average number of applicants accepted per year: 20
Average number of incoming students per year: 3
Average number of graduates per year: 0

Program URL: http://www.master-bioinformatik.at/

Contact Person: Dr. Sepp Hochreiter ( master@bioinf.jku.at )

Last updated: Apr 24, 2015

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