One of the seminars that I really enjoyed was 'Selected Topics in Multimedia Analysis' as it was my first seminar where the lectures given were made by us, the students, using topics and research that interested us the most.

Overall, I'm glad I made the decision to join this master's programme. The opportunities and the challenges opened were beyond my expectations. Now that I have graduated, I would like to keep working at the University on one of the many research projects. There are so many questions left unanswered!

For my graduation project, I worked on visualising gene expression in the human brain. This was a real challenge, because not only did it concern a huge dataset but I also had almost no knowledge of genomics or the brain in general. In order to make a good visualisation I had to gain a deep understanding of the data and had to figure out how specialists use this data to gain new insights.

The Computer Science Master's programme offers many challenges, often in the form of interesting and engaging projects. Getting your hands dirty on real assignments is the best way to master computer science and this programme gives you many opportunities to do so!"

The professors with their lectures make sure that we develop a profound interest in the subjects. Moreover, almost all the courses involve project work which entrenches our understanding of various theoretical concepts via application in practical problems. After spending a semester here, two courses that are my favourites are Data Visualization and Pattern Recognition. These two courses are almost indispensable when it comes to data analysis, my specialization, and I developed many new skillsets following these two courses.

For students who are looking to change their stream/field of study, TU is very lenient on it as long as students provide the right kind of motivation behind their decision. I plan to pursue a PhD in Social Web Analytics followed by a career in academics once I finish my masters. Delft is a very quaint city with a multicultural atmosphere, both in and outside the university, that provides the perfect learning environment for all its students.

To do so, my lab has an excellent computing infrastructure with ultra-fast connections to the (inter)national high-performance computing environment.

Our bioinformatics students work in inter-disciplinary teams. For example, a recent student closely collaborated with clinical geneticists. He developed new computational tools to detect trisonomies (three copies of a chromosome instead of two) in unborn children by testing maternal blood. The results are now being implemented as part of a novel and much safer screening technology for pregnant women.

Because of their strong technical background, and their ability to cooperate in complex settings, our students are very popular in the job market. The shortage of bioinformaticians makes them most welcome in research and industrial positions both in and outside the Netherlands. Come and join us in our endeavour of this new thrilling science!