Curriculum
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Curriculum (Version II.2, MTB 24.06.2009)
german
inofficial English translation english - News of the advisory board of study affairs
- Admission
- List of courses (classes)
- Course material
News of the advisory board of study affairs
- No new decisions.
Admission
Students holding a bachelor or master degree in one of the following subjects may attend this master's programme comprising four semesters:
- Biology
- Chemistry
- Computer Science
- Mathematics
- Mechatronics
- Physics
- Statistics
- Business Informatics
The first semester is a transitional phase of bridge modules that prepares students from various fields for the following courses according to their prior education. Students who successfully complete the master's programme will be awarded a Master of Science degree (MSc).
List of courses (classes)
Semester 1
- Bridge modules for bachelor or master grades in different fields
- Computer Science/Business Informatics
- Molecular biology of the cell I
- Introduction: instrumental analytics for Life-Sciences
- Chemistry for Physicist II
- Introduction I to General Chemistry
- Statistical methods
- Numerical and symbolical methods for Bioinformatics
- Mathematics
- Molecular biology of the cell I
- Introduction: instrumental analytics for Life-Sciences
- Chemistry for Physicist II
- Introduction I to General Chemistry
- Information Systems 1
- Statistics
- Bridge modules like mathematicians, besides: Information Systems 1: not necessary (equal to Data Modeling)
- Chemistry
- Algorithms and Data Structures 2
- Artificial Intelligence*
- Information Systems 1
- Statistical methods
- Numerical and symbolical methods for Bioinformatics
- Physics
- Molecular biology of the cell I
- Introduction: instrumental analytics for Life-Sciences
- Introduction I to General Chemistry
- Information Systems 1
- Statistische Methoden
- Biology
- Algorithms and Data Structures 2
- Artificial Intelligence*
- Information Systems 1
- Statistical methods
- Numerical and symbolical methods for Bioinformatics
- Bioinformatics I: sequence analysis and phylogenetics
- Free elective courses
- Time Series Analysis
- Multivariate Data Analysis
- Bayes-Statistics (only restricted)
- Stochastic processes
- Computerintensive Procedures (only restricted)
Semester 2
- Bioinformatics II: theoretical Bioinformatics and machine learning
- Bioinformatics III: structural Bioinformatics and gene analysis
- Bioinformatics IV: information systems for Bioinformatics
- Algebraic and discrete methods for Biology
- Mathematical modelling and scientific computing in the biosciences I
- Free elective courses
Semester 3
- Mathematical modelling and scientific computing in the biosciences II
- Seminar Bioinformatics or Seminar computational biology
- Project Bioinformatics
- Elective courses A: Computer Science
- Elective courses B: Biology/Chemistry/Physics/Mathematics
- Ethics and Gender Studies
- Ethical issues of Bioinformatics
Semester 4
- Free elective courses
- Master seminar
- Master thesis
Course material
- Bioinformatics I: sequence analysis and phylogenetics (pdf, 3.2 MB)
- Bioinformatics II: theoretical Bioinformatics and machine learning (pdf, 8 MB)
- Bioinformatics III: structural Bioinformatics and gene analysis (pdf, 5.6 MB)
- Bioinformatics IV: information systems for Bioinformatics (pdf, 20.3 MB)
| Recommended courses to complete before: | |
| M8: Bioinformatics II | M3: Basics of algorithms and data structures M5: Basics of mathematics |
| M9: Bioinformatics III | M1: Basics of molecular biology M2: Basics of biochemistry |
| M10: Bioinformatics IV | M4: Basics of information systems |
| M11: Bioinformatics V | M5: Basics of mathematics |
| M12: Seminar Bioinformatics | M6: Bioinformatics I M8: Bioinformatics II M9: Bioinformatics III |
| M13: Project Practical Bioinformatics | M6: Bioinformatics I M8: Bioinformatics II M9: Bioinformatics III |
| M17: Master Thesis | M6: Bioinformatics I M8: Bioinformatics II M9: Bioinformatics III |