Computer Science

The Computer Science and Science Communication and Society master's specialisation focuses on the interaction between science and society.

Increasingly, the general public wants to be and needs to be informed about scientific topics. At the same time, scientists need to show accountability to the general public about their research. In this specialisation you bridge the gap between experts and the public by combining high quality research in computer science with extensive training in science communication. After completion you have obtained the necessary knowledge and skills to either become science communicator with a strong background in computer science, or a scientist with a communicating mindset.

Do you want to bridge the gap between scientific research and the public? Want to combine high quality research in computer science with professional science communication? Then, this master's specialisation is an excellent opportunity for you. You will be prepared for a career as a science or health communicator, policy maker, PR officer, science journalist, health officer, museum educator or a researcher with a communicating mindset.

By focusing on core concepts that transcend the boundaries of various Computer Science fields, the Foundations of Computation specialization prepares you for an inter-disciplinary future. In particular, you will learn to model complex software systems and apply automated proof techniques to verify their correctness, thereby increasing trust in digital systems. Using the power of symbolic computation, the specialization teaches you how to tackle hard computational problems, as well as to realize reasoning for artificial intelligence. It also equips you with the detailed knowledge of concurrency required to analyze parallel systems, but also with knowledge about non-deterministic and probabilistic computational models. Finally, you will learn to harness the power of quantum computers, for solving problems more efficiently than with classical computers.

The Bioinformatics master's specialisation integrates concepts and methods from both mathematics and computer science with (molecular) biology and biochemistry.

It focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data. This includes many aspects from acquiring to analyzing and to visualizing data. The specialisation also deals with the development and application of data-analytical and theoretical methods, mathematical modelling and computational simulation techniques to the study of biological, behavioural, and social systems.

Do you want to contribute to the identification of new fundamental computer science principles and the development of new informatics tools? Do you like to address issues such as data capturing, data warehousing, data analysis and data mining within a marriage of disciplines? Then the master's specialisation in Bioinformatics is the right choice.