Deze opleiding

!Deze opleiding communiceert alleen in het Engels.
We tonen daarom de Engelstalige opleidingsinformatie.
The richness and importance of the information conveyed by data has led to a rapid increase in the influence of data on individuals and society.

Data of various kinds, such as the enormous data collections on the Internet, has become omnipresent in virtually all aspects of our society. Digital data has become the key to innovations in both social and scientific domains ranging from energy, economy, health and climate to bioinformatics and web science.

In the Data Science and Technology track of the Computer Science MSc programme, you will learn how to engineer and develop systems capable of processing and interpreting massive data sets to extract important information. Fundamental and practical issues of the analysis of data will be addressed, including e.g. security of data and software, visualization of information, decision making from data, and high performance computing algorithms.
open_in_newstudy website


diplomaMSc Computer Science
typeregulier, 120 EC
start1 september
taalvolledig English
opleidingsduur2 jaar voltijd
heeft geen numerus fixus
geen honoursprogramma

Waarom aan de TU Delft?

Data Science and Technology is meant for students who want to develop and use software that give meaning to data in order to support experts from various application domains (such as economy, medicine and marketing) to better understand the information that they possess by means of data science techniques.


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1e jaar The first year comprises theoretical study, assignments and laboratory work. Students gain in-depth knowledge on fundamental techniques, methodologies and theories that help them to define their field of interest.
2e jaar The second year is largely devoted to specialisation and the graduation project, which involves participating in advanced research or design projects in an academic or industrial environment, in this country or abroad.


specialisatie Bioinformatics

The main focus of the Bioinformatics specialisation is on Data Analysis and Modeling, which represents the unique expertise of the different research groups of TU Delft and Leiden University.

This expertise is used to address issues like data capturing, data warehousing, data analysis and data mining that have become major challenges in the field of Bioinformatics due to the tremendous complexity and abundance of quantitative data in biology and medicine. On the other hand, bioinformatics heavily contributes to the identification of new fundamental computer science principles and the development of new informatics tools. This track is part of the Master's in Computer Science of the Delft University of Technology and the Master's degree programme Computer Science of the Leiden University.

specialisatie 4TU Cyber Security

Cyber security is a multidisciplinary field with computer science at its core.

For example, it involves cryptography, formal methods, secure software engineering, and machine learning. It also touches on a broad range of supporting disciplines, such as law, economics, criminology, management, and psychology.

specialisatie Information Architecture

The IA programme combines aspects from computer science and from management, and thus addresses the problem of concurrently designing and engineering enterprises and their supporting ICT applications.

It concentrates on the alignment between organizational needs and the engineering opportunities and solutions offered by novel ICT solutions. An information architect is a professional who bridges the gap between business and ICT.


taal van onderwijs100% en
To educate computer scientists which have such professional knowledge, capabilities and attitudes as to be able to take part, alone or in cooperation with other specialists, in solving problems which arise in society, science, or in private or public institutions.

Toelating en studiekosten

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1 september 2019
collegegeld nog niet bekend

estimated monthly costs

bron: Nibud
312kamerhuur in Delftrond het landelijk gemiddelde
158collegegeldop basis van € 1906 per jaar
80studieboeken en -spullen
77uiterlijkkleding, kapper, schoenen
132vrije tijdstappen, uit eten, vakantie
42vervoernaast de OV-kaart

€ 1180totale maandelijkse uitgaven landelijk gemiddelde is € 1181
Hiernaast staat een overzicht van de gemiddelde kosten die een uitwonende student heeft. Niet iedere student heeft met iedere kostenpost te maken. Het totaalgemiddelde is dus niet gelijk aan de optelsom van alle kostenposten.

Bekijk ook de uitgebreide toelichting: wat kost studeren?

Studenten en studentenleven


474 studenten volgen deze opleiding
18% daarvan is vrouw
72 eerstejaars gestart in 2017
36% daarvan is vrouw
23325 studenten aan de Technische Universiteit Delft
27% daarvan is vrouw
bron: StudieData

Op kamers in Delft

23597studenten studerend
12824studenten woonachtig   
€ 312gemiddelde kamerprijs
kamer betaalbaarheid
21 m2gemiddelde kameroppervlak
kamer beschikbaarheid
bron: Nationale Studenten Enquête

aan het woord: studenten en docenten

Francesco Corsini
My first thought of the TU campus, upon arrival, was 'wow, these buildings are impressive!'

After completing my bachelor's degree in Milan, Italy, I decided to continue my studies in the Netherlands. I chose to study at TU Delft because the university is well known and I chose DST specifically, as the programme was aiming exactly at my interests: Data and AI. The courses offered seemed to be challenging and extremely specific, which was exactly what I was after...
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!

lees verder ...
Chia-lun Yeh
Nirmal Roy
Moreover, almost all the courses involve project work which entrenches our understanding of various theoretical concepts via application in practical problems.

My bachelor is in Electrical Engineering from Jadavpur University, Calcutta, however I liked coding and mathematics better. Furthermore, I preferred statistical analysis and image processing from my curriculum more than the core electrical engineering topics. Hence a master in Computer Science was a natural choice for me. I was eager to learn about the fundamentals of machine learning and artificial intelligence.

Getting an admit from TU Delft in the Data Science and Technology track provided me with the opportunity of realizing my goals...
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.

lees verder ...
Lennaert van den Brink
For my graduation project, I worked on visualising gene expression in the human brain.

I am a Computer Science student at TU Delft. After finishing secondary school I chose to study computer science (Technische Informatica) at TU Delft. I enjoyed using the computer and playing games, but had no idea how a computer was able to do these things and I wanted to find that out.

After completing my Bachelor I chose to stay in Delft to do my master. It allowed me to continue my social activities at the student rowing club, but also because the university's programme offered a diverse and engaging set of courses...
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!"

lees verder ...
Marcel Reinders
Within my research, I develop novel algorithms to analyse such data, by making use of machine learning methodologies, or graph-based algorithms.

I am professor in Bioinformatics and I am fascinated by the interplay between computer science and life sciences. With the ability to decipher genomes, the role of computations is revolutionizing life science. This science of the 21th century will play a crucial role in solving the great challenges that humanity is facing. Already, important breakthroughs have been realized in understanding diseases, improvements in food production, or production of complex chemicals...
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!

lees verder ...


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1/11 TU Delft
Data Science & Technology
€ 312 gemiddelde kamerhuur
72 eerstejaars
36% vrouw
? uur contacttijd/week
100% Engelstalig
2/11 TU Delft
EIT Master ICT innovation
€ 312 gemiddelde kamerhuur
72 eerstejaars
36% vrouw
? uur contacttijd/week
100% Engelstalig
3/11 TU Delft
Computer Science
€ 312 gemiddelde kamerhuur
72 eerstejaars
36% vrouw
? uur contacttijd/week
100% Engelstalig
4/11 TU Delft
Software Technology
€ 312 gemiddelde kamerhuur
72 eerstejaars
36% vrouw
? uur contacttijd/week
100% Engelstalig
5/11 Universiteit Leiden
Computer Science
star Keuzegids topopleiding 2018  1e  78
€ 350 gemiddelde kamerhuur
22 eerstejaars
36% vrouw
? uur contacttijd/week
100% Engelstalig
6/11 Universiteit Leiden
Advanced Data Analytics
star Keuzegids topopleiding 2018  1e  78
€ 350 gemiddelde kamerhuur
22 eerstejaars
36% vrouw
? uur contacttijd/week
100% Engelstalig
7/11 Universiteit Leiden
Education (NL)
€ 350 gemiddelde kamerhuur
22 eerstejaars
36% vrouw
? uur contacttijd/week
100% Nederlandstalig
8/11 Universiteit Leiden
Science Communication and Society
star Keuzegids topopleiding 2018  1e  78
€ 350 gemiddelde kamerhuur
22 eerstejaars
36% vrouw
? uur contacttijd/week
100% Engelstalig
9/11 Universiteit Leiden
star Keuzegids topopleiding 2018  1e  78
€ 350 gemiddelde kamerhuur
22 eerstejaars
36% vrouw
? uur contacttijd/week
100% Engelstalig
10/11 Universiteit Twente
Computer Science
€ 250 gemiddelde kamerhuur
22 eerstejaars
18% vrouw
? uur contacttijd/week
100% Engelstalig
11/11 Amsterdam VU
Computer Science
€ 424 gemiddelde kamerhuur
? eerstejaars
?% vrouw
? uur contacttijd/week
100% Engelstalig
disclaimer: bovenstaande cijfers en beoordelingen zijn aangeleverd door de opleidingen zelf. Wij kunnen de juistheid niet garanderen.

Feiten en / studie in cijfers

bron: Nationale Studenten Enquete 2017
algemeen oordeel4.14.0


De Nationale Studenten Enquete is het grootschalige onderzoek van de overheid onder studenten in Nederland naar de kwaliteit van opleidingen aan hogescholen en universiteiten.
In 2017 hebben meer dan 200.000 studenten hun oordeel gegeven over hun studie en instelling.

Data Science & Technology aan de Technische Universiteit Delft is beoordeeld door 102 respondenten. Gemiddeld waarderen ze de opleiding met 4.1 uit 5.

Na de studie

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There are basically four professional fields that you can end up in after you graduate: corporate, start-up, academic, or consultancy. Many start working in the banking, gaming or medical industry.

Beroepsperspectief / arbeidsmarkt

During your studies you will have the opportunity to contact companies and build a network. Below are a few concrete examples of areas that DST students have ended up in.
  • Facebook: Searching for images and music. A DST graduate now works on the visualisation of high-dimensional data in social networks using the t-SNE method.
  • Google: Modifying a search engine in such a way that it knows WHY you are looking for something, resulting in more appropriate queries. A DST graduate received a Google fellowship for this work.
  • Start-up: Using software technology to analyse photos on social media to identify potential safety risks at large events. For example, the risk of collapsing tents at a festival or large crowds in the centre of Amsterdam during SAIL. A DST graduate has turned this research into a start-up.

current job market

aansluitende masteropleidingen

TUeLeraar VHO Informatica educational
TU DelftLeraar VHO Informatica educational

Potentiële beroepen

  • facebook
  • google
  • start-up
bron: StudieData


General Information Office Eemcs
Meer informatie?
Bezoek de website van deze opleiding.

open_in_newstudy website