45 Master Programs in Big Data in Europe for 2024

As companies discover the potential of big data and its uses, complications arise, especially regarding how to process customer data in compliance with local and international laws. For that reason, big data managers are highly sought-after – and you can be one of them. At IU, we offer an online Master’s degree in Big Data Management, where you’ll learn all the different aspects you need in order to understand how the field works, as well as its challenges now and in the future. Combine managerial skills with technological know-how, and do so from the comfort of your home, fully online.

Harness the power of big data through statistical analysis and business acumen with Hult’s one-year MBAN and go on to make a meaningful impact in any organization.

As data is being used increasingly to personalise, aggregate, and measure our everyday experiences, there is also a growing need for those who can develop such systems in a responsible and ethical manner. By studying this Master’s Programme, you will be perfectly positioned to meet this demand.

Data engineering is an emerging profession concerned with big data approaches to data acquisition, data management, and data analysis. The Data engineering program at Jacobs University offers a fascinating and profound insight into the methods and technologies of this rapidly growing area.

Further your computer science career with a specialist postgraduate degree in big data analytics. This online master’s programme has been designed to equip students with expertise in an area of computing that has seen recent and rapid growth, and in which there is expected to be a significant skills shortage.

The MSc Data Science & Artificial Intelligence at Toulouse Business School, aims at providing a solid multi-disciplinary training to help equip students with the necessary skill sets to solve today's marketing problems and become an essential part of their future companies' decision-making process.

Preparing students as the new generation of managers who understand data and fluent in data-driven decision making to solve real problems with Big Data in today’s digital world. Optional second Master with Boston University, USA (9 months)

The past decade has seen enormous advances in molecular and biomedical technology resulting in an ‘omics’ revolution. Bioinformatics covers the application of mathematics, statistics and computing to biological and clinical scenarios. Algorithms and software tools are used to understand and interpret patient-derived ‘Big Data’.

Big Data Analytics gives you an in-depth understanding of how to make use of data in order to create insights. This master's degree programme is arranged so that you rapidly gain a broad knowledge of the essential concepts of big data analytics: descriptive and predictive modelling, and the construction of machine learning pipelines. The programme emphasises the importance of understanding how to build analytical solutions with production level code.

This MSc in Big Data and Business Analytics trains you to be an expert in Business Analytics. Its primary aim is to provide an understanding of the significance of data in today’s business world. The specialisation features an interdisciplinary curriculum that helps students build the in-demand technical, analytical and communications skills needed to manage large data sets and drive organisational change.

The aim of this master's degree is to train Computer Sciences and Information Technologies experts in order to be able to address the new challenges of the current and future generations of digital societies. Current trends in digital technologies represented by the Internet of things, cyber-physical systems, social networks, cloud computing, big data and cognitive computing, mobile robotics, digital twin, and additive manufacturing have provided the basis for a new industrial revolution named Industry 4.0.

The modern economy is driven by digitization that generates billions of data. Companies that quickly embark on big data analytics-based growth strategies find themselves in many vantage positions in the marketplace. To achieve a big data analytics-based growth strategy, companies need data scientists, experts, and practitioners, who can support arriving at meaningful results from structured or unstructured information they collect. This specialization in Big Data and Artificial intelligence prepares future-ready managers, data scientists, and leaders for digital enterprises of the future.

The Internet of Things (IoT) represents a new stage in the digital revolution, fully contributing to the construction of a digital society. Several sectors of the digital society use or will use the internet of objects to improve deployment, exploitation, and industrialization procedures. These include intelligent transport, smart grids, smart city, industry 4.0, and so on. The issues concerning the mastery of the technologies and processes around the internet of objects are enormous and require a very high level of expertise with cutting-edge skills in multidisciplinary areas.

The main aim of the Big Data master program is to offer knowledge and skills such that the graduates are able to: design efficient and robust models for statistical analysis of data; implement and use data mining and machine learning algorithms; use technologies for big data processing; design and implement scalable applications.

The Master’s Program in Business Intelligence Systems / Big Data, accredited by the French Ministry of Higher Education and Research, is founded on CY Tech Engineering School’s expertise in the following fields: Business Intelligence, Decision Support, Business Intelligence, and Business Analytics / Big Data. The program is taught in English and primarily dedicated to non-French-speaking students. Successful students will graduate with a state-recognized Master's Degree. The objective of this Master’s program is to train future specialists in Information Systems and Decision Support. The program includes solid content in mathematics- and uses a wide range of computer-based tools, which allows students to deal with real problems, analyze their complexity and bring efficient algorithmic and architectural solutions. Big Data is the ultimate game-changer.