Технический университет Эйндховена, MSc, Data Science in Engineering

Direct progression The following Bachelor's degrees completed at our university give you direct access to the Master's in Computer Science and Engineering: A Bachelor's degree in Computer Science completed at TU/e Deficiency program You can transfer to a deficiency program of 30 ECTS after completing the following Bachelor's degrees at TU/e: Applied Mathematics Applied Physics Electrical Engineering Industrial Design Innovation Sciences Mechanical Engineering Industrial Engineering & Innovation Sciences. If you hold a Bachelor's degree from a university other than a university of technology or if you have a different but related background, you will need to present your academic transcript to a selection committee. To be considered for admission to a TU/e Master's program applicants should have a (minimum) Specialist Diploma or a Bakalavr degree from an accredited academic university. A Cumulative Grade Point Average (CGPA) of at least 75% of the scale maximum. TOEFL (Test of English as a Foreign Language) Overall band score of at least 90 AND a minimum score of 21 for each section. TU/e only accepts the TOEFL internet-based test. IELTS (academic version) with an overall band score of at least 6.5 and a minimum of 6.0 for each section. University of Cambridge proof that you have passed the University of Cambridge 'Certificate of Proficiency in English (CPE)', or University of Cambridge 'Certificate in Advanced English (CAE)',grades A-C.

Technological and societal changes led to an explosion of digitally available data. Exploiting the available data to its fullest extent, in order to improve decision making, increase productivity, and deepen our understanding of scientific questions, is one of today's major challenges. Data science is an emerging discipline that aims to address this challenge. It is a multi-disciplinary domain, where computer science and mathematics play crucial roles, complemented with human-technology interaction, business models and operations management expertise and skills. Program This is a joint master program of Mathematics and Computer Science which can be studied as a special track in either the Computer Science and Engineering Master or the Industrial and Applied Mathematics Master. Core courses The program includes several core courses as well as great freedom of choice in the form of electives. The core courses span a wide range of computer science and statistics courses and include base competences such as: Process Mining, Data Mining, Algorithms, Visualization, Real-life data challenges, Statistics for Big Data, Statistical Learning Theory, and Probability and Stochastic Processes.