Program Overview

M.Sc. Bioinformatics

The M.Sc. Bioinformatics program is designed to provide students with a comprehensive understanding of the field, combining computer science, mathematics, and biology.

Program Overview

The program aims to equip students with the necessary skills and knowledge to tackle complex problems in bioinformatics, including data analysis, algorithm development, and computational modeling.

Curriculum

The curriculum is structured into several areas, including:

• Basic studies
• Profile area
  • Focus Area "Complex Systems"
  • Focus Area "Data Science"
  • Focus Area "Advanced Algorithms"
• Elective area

Research Areas

The program covers a range of research areas, including:

• Biomathematics and Computational Systems Biology
• Medical Bioinformatics
• Computational Genomics
• Algorithmic Bioinformatics

Exemplary Tasks

The program includes a range of exemplary tasks, designed to give students an impression of the content and thematic scope of the program. These tasks include:

• Modelling metabolic networks (Numerics)
• Constraint programming (Optimization)
• Insert into a Skip list (Algorithms)
• Support Vector Machine (Statistics)
• Typical workflow for seeking for mutations in patient DNA (Genomics)
• Computer aided drug design (Structural Bioinformatics)

University Life

The program offers a range of opportunities for students to engage with university life, including interviews with current students, a typical week in the first semester, and information about the campus and city.

Prospects

The program provides students with a range of prospects, including career opportunities in data science, research, and industry. Examples of career paths include:

• PhD student
• Data Science Consultant

Admission Requirements

The program has specific admission requirements, which include a self-assessment and application process.