Data Science
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People and the systems around them are generating and storing data at an unprecedented rate and in massive volumes in almost every activity in science, society and industry. At the same time, there is a need for highly skilled people with specialized training that can efficiently find patterns in vast data sources and communicate them in an understandable way. Data science is an interdisciplinary field of computational principles, methods and systems for extracting and structuring knowledge from data. The objective is not only to find patterns in data but to make predictions based on past knowledge as well as to develop and improve algorithms to better accommodate various types of data and new applications of data science. Important tasks in data science span a wide range, from manipulating unstructured data and merging heterogeneous data sources to mastering the art of visualizing data to convey the insights in a meaningful and intuitive manner.There are 2 tracks in this program. The first track, 60 ECTS thesis track, is aimed for students with a strong background in computer science and mathematics. The second track, 30 ECTS thesis track, is for students with a weaker background in computer science and mathematics.
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