ICT Innovation (EIT Digital Master School) - Data Science, M.Sc.

The first year will be similar at all four DSc entry point universities: Universidad Politecnica de Madrid (UPM), Eindhoven University of Technology (TU/e), Universite Nice Sophia Antipolis (UNS) and Polytechnic University of Milan (Polimi) with foundation courses in

data handling,
data analysis,
advanced data analysis and data management,
visualization, and
applications.
An important part of the programme are also the Innovation and & Entrepreneurship (I&E) courses.

During the second year of studies, the student chooses a spesialisation option offered in one of the six exit point universities: Aalto University, UPM, TU/e, UNS, KTH, or TU Berlin. The specialisation option offered at Aalto University is Machine Learning, Big Data Management, and Business Analytics.

The Aalto specialization aims to provide students a versatile and diverse set of skills for managing very big data, extracting knowledge from data, learning models and making inferences, creating meaningful visualizations to interact with data, and using data-driven methods in business analytics and intelligence, as well as in other applications. These are all necessary skills to becoming a successful data scientist, one of the top professional careers world-wide. An ideal candidate to the Aalto specialization is mathematically inclined, technically proficient, has entrepreneurial spirit, and interest in solving real-life problems.

A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics.

Language requirements: Proof of English language proficiency