Filters
Filters
- Masters
- Master degree
- Europe
- Netherlands
- Technology Programs
- Data Science
Sort by
7 Data Science Master's Degree Programs in Netherlands


Promoted
Amsterdam Tech
Professional Master in Data Science & Leadership
- Amsterdam, Netherlands
Master degree
Part time
19 months
Distance Learning
English
Dubbed the hottest job of the 21st century, data scientists are some of the most wanted professionals in today’s labor market. According to Glassdoor, data science is the number one job considering demand, salary, and job satisfaction. In Amsterdam, the average entry-level data scientist salary is 47,422 EUR. We help you prepare for the world’s hottest job by developing your technical and interpersonal skills and connecting you with employers in the Amsterdam metropolitan area.


Utrecht University
Master in Data Science
- Utrecht, Netherlands
Master degree
Full time
2 years
On-Campus
English
Data Science is the science of converting data into knowledge. It deals with all those challenges related to the management and processing of the data. It is called to find answers to critical questions like how can we efficiently store and access the massive volumes of data we collect? How can we use machine learning to help us understand data? How do we develop advanced visualization techniques that are going to explain what data looks like?


Erasmus School of Economics - Erasmus University Rotterdam
Research Master in Business Data Science
- Rotterdam, Netherlands
Master degree
Full time
2 years
On-Campus
English
The Research Master of Business Data Science focuses on the application of Data Science techniques within business disciplines. It is a joint degree Program, offered by the schools of economics and business of EUR, UvA and VU. Course instruction is provided by top scholars from the participating schools. The Program prepares for an academic career in business administration disciplines, like entrepreneurship, finance, human resources and analysis of organisations, marketing and supply chains.
Best programs for you
Answer a few questions and we'll match you with programs!


NHL Stenden University of Applied Sciences
Master in Computer Vision & Data Science
- Leeuwarden, Netherlands
Master degree
Full time
1 year
On-Campus
English
Specialise in image data analysis and automating visual inspections with artificial intelligence with Computer Vision and Data Science course from NHL Stenden University of Applied Sciences. Using machine learning, deep learning, computer vision, mathematics and programming you develop a skillset for developing and optimising machine-learning algorithms and datasets to meet customer specifications


Hanze University of Applied Sciences, Groningen
Master in Data Science for Life Sciences
- Groningen, Netherlands
Master degree
Full time
2 years
On-Campus
English
Are you good at handling lots of data? Would you like to learn more programming techniques and apply them to bridge the gap between computer science and life sciences? After this master, you will possess the skills you need to facilitate and initiate innovations for life sciences, such as programming machine learning applications and managing data storage.


EIT Digital Master School
Master in Data Science (DSC)
- Enschede, Netherlands
- Budapest, Hungary
- + 7 more
Master degree
Full time
2 years
On-Campus
English
Despite the immense potential of Big Data, many companies are blind to the value of the data they create. It is time for that to change - and our Data Science programme equips you with the skills to drive this change. You will be able to provide important insights into business processes and discover opportunities to reduce costs and increase efficiency. Analyze and make decisions that will lead companies to its maximum growth.


Maastricht University
Master in Data Science for Decision Making
- Maastricht, Netherlands
Master degree
Full time
2 years
On-Campus
English
Do you like coming up with elegant solutions for complex problems? Do you find it challenging to extract patterns from large sets of data? Then you should consider getting a master's in Data Science for Decision Making. In today's world, many companies and organisations collect all sorts of data. They aim to extract useful information from it, to recognise patterns and anomalies. Data Science for Decision Makingprovides the mathematical tools to model and handle these datasets. It has widespread applications in business and engineering, ranging from scheduling customer service agents and optimising supply chains, to modelling biological processes and extracting meaningful components from brain signals. Upon graduation, you'll therefore have excellent qualifications to pursue a career as a data scientist, researcher or manager in many different industries.
Popular Technology Programs Data Science degree types
Popular study format
Learn more about Data Science Master's degree programs in Netherlands
Data Science Master's programs in the Netherlands offer a compelling mix of academic rigor and real-world application, making them an exciting choice for those passionate about data-driven decision-making. You'll dive into advanced topics such as machine learning, data visualization, and statistical modeling, preparing you for impactful careers in a field that’s increasingly important across various industries.
Through hands-on projects and collaborative research, these programs foster independence and critical thinking. You’ll acquire specialized skills in designing predictive algorithms, managing large datasets, and applying analytical techniques to solve complex problems. Students strengthen their adaptability as they engage with diverse methodologies and innovative tools, enhancing their readiness for the global job market.
Given the Netherlands' strong emphasis on technology and innovation, graduates benefit from a wealth of local companies eager for data specialists, while also cultivating skills that are globally transferrable. This supportive environment promotes exploration and creativity, preparing you to make significant contributions in the ever-evolving data landscape.