Bonn-Aachen International Center for Information Technology


News	Application for Master Programmes	B-IT Universities Institute
About B-IT	B-IT Research School	B-IT Applied Science Institute

Specific Information

The Master Programme of Life Science Informatics is a two years course, accredited by ASIIN.

Structure of the Programme

The Master Programme of Life Science Informatics is made up of the following modules:

Computer Science (COS), 15 Credit Points (CP)
Life Science Research (LSR), 15 CP
Algorithmic Life Science Informatics (ALB), 15 CP
Modelling, Simulation, Statistics (MOD), 15 CP
Specialisation in Biology (BIO), 15 CP
Specialisation in Chemistry (CHM), 15 CP

Total yield of credit points earned in courses: 90 CP

Another 30 CP have to be acquired with the master thesis.

Total yield of CP earned in the master programme (courses and thesis): 120 CP

Students have the opportunity to either specialise in bioinformatics or in chemoinformatics.

The programme emphasizes the students' early exposure to eminent scientists. Therefore courses and Lecture Series with invited excellent researchers in their respective fields are offered to students to broaden their horizon.

One example on how this is achieved, is the LSI International Lecture Series. Students had the opportunity to discuss current topics from the field of Life Science Informatics with a plethora of highly experienced researchers.

Who should apply?

The focus of this programme is clearly set on computer science (programming, algorithmic concepts) and mathematics. These subjects will make up a substantial part of your studies and the chances to be admitted will strongly depend on the past performance in both disciplines from school on. If you are a life scientist and mathematics was not the favourite topic at university studies you should re-consider your application for this programme.

If you are a computer scientist or mathematician you should have a clear and dedicated interested in the life sciences. If biology or the life sciences were not the favourite topic at university studies you should re-consider your application for this programme.

The master programme of Life Science Informatics focuses on educating students to solve specific problems in the modern life sciences with methods and concepts from mathematics and computer science. This will include for instance programming, algorithmic concepts or mathematical approaches. A substantial interest in and a dedication to the life sciences is important in order to apply the aforementioned methods and concepts in a meaningful way.

Areas of Future Application

Which areas do exhibit a great need for Life Science Informatics graduates? Here are some examples:

Systems Biology
Personalised Medicine
Personalised Healthcare
Virtual Physiologcal Human
Computer-aided Drugn Design
Molecular Modelling
Medical Informatics

Some Employers of Life Science Informatics Graduates

B-IT Research School, Aachen-Bonn, Germany
Cambridge University, United Kingdom
University of Oxford, United Kingdom
European Bioinformatics Institute, Cambridge, United Kingdom
Max Dellbrück Center Berlin, Germany
Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
Max Planck Institute for Plant Breeding Research, Cologne, Germany
Max Planck Institute for the Biology of Ageing, Cologne, Germany
Max Planck Institute Tübingen, Tübingen, Germany
Fraunhofer Institute SCAI, Sankt Augustin, Germany
German Center for Cancer Research (DKFZ) Heidelberg, Germany
Leaf Bioscience s.r.l., Milan, Italy
National Technical University of Singapore, Singapore
Philips Research
Research Center Jülich, Jülich, Germany
RWTH Aachen, Aachen Germany
University of Luxemburg, Luxembourg
University of Utrecht, The Netherlands
University of Tübingen, Germany
University of Cologne, Cologne, Germany
University of Bonn, Bonn, Germany
Galilleo Press, Bonn, Germany

Insight into the Current Programme

If you want to find out more about the currently running programme and the courses offered, please follow these links:

Timetable for the first semester: Timetable for the first semester (Winter Semester 2011/2012)
Timetable for the third semester: Timetable for the third semester (Winter Semester 2011/2012)

Timetable of Summer Semester 2011: Timetable for Summer Semester 2011

Some Topics of Masters Theses carried out in the Previous Years

Generation and Validation of a Semantic Framework describing Protein-ligand Interactions

Using Database Knowledge to estimate protein abundance in physiologically based pharmacokinetic modeling

Bioinformatic Approaches towards Genome wide Analysis of short RNAs in Craterostigma Plantagineum

Automatic Assignment of Human Readable Descriptions to Protein Sequences

Computational Characterization of Structure Activity Relationship Microenvironment in Compound and Screening Data Sets

Investigation of Algorithms for Context-Sensitive Detection of regulation Failures based on Features derived from the Electrocardiogram and Photo- Plethysmogram

Contribution of Docking to the Reconstruction of Protein Interaction Networks

Rationalizing Three-Dimensional Activity Landscapes and the Influence of Molecular Representations on Landscape Topology and the Formation of Activity Cliffs

Evaluation of Scaffold Mapping Potential in Similarity Searching

Indexing, Annotation and Visualisation System for Knowledge Discovery

Array Process: Work Flow for Microarrays

A Hardware and Software environment for observing and analysing long term Behaviour of embryonic stem cellderived Cardiomyocytes

Reanalyzing phylogenetic data of the Sacoglossa (Mollusca, Gastropoda, Opisthobranchia)

PDB Vs SWISS-PROT: The comparison of two protein databases

Bayesian Network Modeling for Cerebral Aneurysm Rupture Risk and Treatment

Strategies for the generation of higher order protein dictionaries for text-mining: Complex and family name dictionaries

Genomic Analysis of the Primary Metabolism of the uncultivated Symbiont ”Pseudomonas paederi”

Test of Reliability and Efficiency of two Middlewares through Application of two large scale Docking Tools

Clustering of Gene Expression Time Series

Databases as training sets for machine learning: Assessing optimal chemical space coverage

Performance Analysis of Selected Molecular Similarity Methods on Compound Activity Classes of Increasing Structural Diversity

Conceptual Design of a Protocol Database for Chemical Image Mining

Development of a Descriptor Histogram Filtering Method for Compound Database Mining

An Application of Data Mining Methods in Chemical Compounds’ Classification and Regression Problems

Large-Scale Virtual High Throughput Screening (vHTS) on an Optical High-Speed Testbed

Extension of chemoCR: From reconstruction of chemical molecules to reconstruction of whole chemical reactions

Characterisation of voltage-gated Ion Channels in human stem cell-derived Neurons

Optimizing Combinations of Random Molecular Fragments for Similarity Searching by Frequency Analysis

Modelling of Genome-Scale Metabolic Networks: Data Acquisition and Networks

Concept-based Semi-Automatic Extension of Drug Hierarchies

Structure-activity Relationships and Pharmacophor Modelling of Purine Receptor Antagonists.

Enhancing Methods for the Biomedical Knowledge Discovery Process

The Relationship Between Genetic Redundancy and Correlated Expression of Duplicated Genes in A. thaliana and C. elegans

Modelling and Analysis of Scorpion Walking Patterns for Posterior and Anterior Leg

Kinetic and docking Studies on the Interaction of Proteases with Molecular Weight Compounds

Global Analysis of Genes expressed during Mesodermal Development (Microarray Data Analysis-Affymetrix data)

Network-based Approach for Analyzing Pathway Interactions

Visualization and Analysis of Multi-Modal extracted Information from Full Text and Patent Corpora

PaperMaker: Consistency Analysis of Scientific Biomedical Literature

Modelling of Genome-Scale Metabolic Networks: Data Acquisition and Simulation Process

Concept-Based Semi-Automatic Extension of Drug Hierarchies

Integration of Data Resources for Knowledge Discovery in Life Science

List of Research Partners

Some of the theses mentioned above were carried out in collaboration with research partners outside B-IT and B-IT constituting partners. Some examples of such research collaborations are:

European Bioinformatics Institute

ETH Zürich

Research Center Juelich (Forschungszentrum Jülich)

Max Planck Institute for Plant Breeding Research Cologne

Bayer Technology Services

Cubic (Cologne University Bioinformatics Center)

University of Cologne

Admission

For specific conditions of admission for international applicants please check our Online-Application.

For more information please contact

B-IT
Coordination Team of
Life Science Informatics
Dahlmannstraße 2
D-53113 Bonn
Germany
E-mail: msc-lsi (at) b-it-center.de*

*Note: Please replace "(at)" with "@" and remove the blanks to get the correct e-mail address.

Last update: 19 July 2011

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