This gives you the possibility to tailor the master to your own wishes, which I happily did. For example, my favourite course was the specialization course: "VLSI Test Technology & Reliability". In this course, you don't only get interesting theory about the testing of chips, but the teacher also links this theory to the practical (business) world.

I would advise anyone who considers to choose the master programme Computer Engineering to take a good look at the track core courses. If you like the majority of these courses, Computer Engineering could be the perfect master for you!

Having worked on academic projects in teams of international students I have experienced, at first hand, that there is indeed more than one way to solve a problem. Furthermore, the professors and their corresponding research groups at the EEMCS faculty are truly top-notch, and this is clearly visible in their courses. As an optional part of the master's programme, I did an internship last year at CERN in Switzerland, and I am currently working there on an awesome high-performance simulation platform as my graduation project. Last, but not least, recruiters and companies are literally lining up for CE graduates, so if you are considering this program, be prepared…

During the projects you have to work in groups with different students to create a certain design or product. In these projects you learn how to communicate and work together with multiple people, which is really helpful for your future career. Also the satisfaction you get after finishing a project is really rewarding.

The master itself is a lot of work and will take a lot of time. But the key to productive studying is planning. If you plan your courses correctly and work hard, you'll pass easily. After studying hard, you can always find a place in Delft to relax and have a fun time. Delft is a really vibrate city with a lot of students who all know how to party.

You also have a lot of freedom to choose your own specialization courses. Courses like Supercomputing for Big-data and Distribute Computing System familiarized me with the state-of-art computing mechanism widely used in industry. Personally, I also chose courses related to machine-learning since I am interested in the world of artificial intelligence. During my second year, I got the opportunity to work and do my thesis at a collaborating lab at Erasmus MC. With great help and support from my supervisors on both sides, I managed to graduate in advance, and was bestowed with cum laude. Now I started my career at Xiaomi, a smartphone manufacturing company in China. I am truly grateful for my experience in Netherlands, and now my future is full of possibilities.

People do their graduation work at financial institutions, oil & gas companies, traditional computing firms, biotechnology/medical companies, as well as a variety of research institutes. The fact that your skills are so widely appreciated gives you lots of opportunities to work in the field you like, or to work in multiple fields during your career or even at the same time!

This would also be my advice to any future CE students: seize these opportunities! Talk to your professors, especially the ones whose research you appreciate, and look for interactions with companies. Most of my thesis work was carried out in the U.S. at IBM Research, an opportunity that would not have come my way if I had not struck up a conversation with a professor whose course I liked. I am proud to have completed the CE program and would recommend it to anyone who is interested in computing and performance optimization.

Our Master's and PhD students have found interesting and well-paid jobs in a wide range of companies, and some have even started their own companies. They are praised for their ability to combine deep low-level understanding of hardware with excellent programming skills.

In collaboration with Wayne Luk from Imperial College, we started a company called BlueBee, which provides solutions for hardware acceleration in various application domains (primarily oriented towards Big Data), including finance and bioinformatics.