39 Master's degrees in Data Analytics in Netherlands

Data Science from Utrecht University teaches the principles and core fundamentals of data science and how specific data science theories, tools, techniques and methodologies are designed, developed and used. 

Do you want to combine management and business economics with data science and AI to develop value-creating solutions for complex business problems? Do you want to learn how to make data-driven commercial and strategic decisions?  Management Analytics equips you with the skills and mindset to become a data-empowered manager. This is a track of the Research Master in Economics.

Economics and Data Analysis at Utrecht University provides you with the solid theoretical foundation in microeconomics, macroeconomics and econometrics, necessary for applied quantitative data analysis. 

The Marketing Analytics - Applied Marketing Analytics track at Tilburg University focuses on applying methods to test, validate, and enhance strategies based on empirical insights derived from marketing data, teaching you how to use data to inform decisions.

The Business Analytics and Operations Research - Operations Research track at Tilburg University teaches you the discipline focused on developing and applying analytical methods and techniques to improve decision-making. Nearly all of these methods and techniques involve constructing mathematical models that describe the decision-making process in question.

The Business Analytics and Operations Research - Business Analytics track at Tilburg University teaches you the science of using data to build models that drive decisions, adding value to institutions, companies, and individuals.

This one-year (2-semester) Data Science and Business Analytics - Master's Qualifying Programme offers successful students guaranteed progression to a range of postgraduate degrees at the University of Amsterdam. Learn more at the Master's Qualifying Programme from OnCampus Amsterdam.

Become a ‘data translator’, bridging the technical expertise of data engineers or analysts with end users in public and private organizations. Having statistical modeling skills, programming language proficiency, and hands-on experience with unstructured data enables you to understand the economic value of data. This is a track of MSc Economics.

Turn data into innovation. Combine service design, analytics & AI for real-world solutions. Get hands-on experience & career opportunities in tech, consulting & more with Business Intelligence and Smart Services at Maastricht University. 

Learn to translate data into smart, strategic decisions and help organisations move forward as an analytics translator. Through this unique joint Data Driven Business degree with Avans from Fontys University of Applied Sciences, you’ll benefit from the combined expertise, innovative research, and professional networks of two leading universities.

The  Wittenborg University of Applied Sciences Business Administration - Data Analytics is delivered in a block format, with 2 modules being covered every 6 weeks. The classes are inter-disciplinary - you study shared modules in semester 1 with MBA students from different business specialisations. Due to the rolling entry (6 times a year) groups are dynamic, extremely international and diverse.

Become a Data Analyst and provide solutions for societal challenges with the use of complex data sets with Data Science and Society from Tilburg University. Add value to a team, company or organization with a combination of technical skills, knowledge about legal and ethical issues related to data science, and the ability to effectively communicate with professionals and researchers.

The Business Management - Data Analytics programme at Wittenborg University of Applied Sciences merges rigorous business management principles with advanced analytical techniques, preparing students to become leaders in the field of data science. 

Become an expert in logistics, supply chain management or workforce optimisation. They offer a master degree in Analytics and Operations Research In Logistics at Erasmus University Rotterdam. 

This Data Science and Marketing Analytics specialisation from Erasmus University Rotterdam teaches you how to turn big data into business insights using tools from data science, AI, and marketing—skills that are in high demand across industries.

Learn to analyze data and apply analytical models in business. Use advanced mathematical methods in optimization, machine learning, and supply chain to solve complex problems. During the Master's, you will gain the skills to design innovative tools that improve decision-making. Choose a specialization: Business Analytics or Operations Research.

This Smart Mobility Data Science and Analytics programme from EIT Urban Mobility Master School trains future elite data scientist in urban mobility. Through an interdisciplinary approach, you will learn to leverage urban data for strategic city planning, sustainable resource use, environmental cleanliness, equitable citizen engagement, and fostering a healthy society.

Learn to use data science to develop innovative activities for corporations and start-ups with real-life assignments from partner organizations. Become a data engineer, data scientist, data entrepreneur, data consultant, or data-driven researcher. Tilburg University offers the Data Science in Business and Entrepreneurship programme.

Join the Human Resource Studies - People Analytics and Technology track at Tilburg University and become a human resources expert, specialized in the relationship between work, well-being, and performance. You seek the perfect balance between organizational performance and employee well-being.

Become a highly trained marketing analyst. Tilburg University's Master's program in Marketing Analytics teaches you to gather and analyze big data using the latest techniques and methods available, in order to provide management with critical marketing insights and opportunities, both online and offline. You can specialize in one of two tracks: Data Science or Applied Marketing Analytics.