Applied Data Science TED University

Overview

Data performs a duty of clarifying mechanisms which are not yet well understood or acting as an important instrument in trend analysis. Especially, together with the design of a powerful experiment, it is the basic factor in the emergence of relations and interactions between objects/concepts in social sciences; in the formation of an hypothesis by taking the shape of the results of experiments in natural sciences; in risk assessment, formation of foresight concerning the future, understanding the mechanisms in cause and effect relations by measuring the results appearing as a consequence of the followed up policies in industry/finance/marketing sectors.

Key Facts

The developments in data science are due to the gradual increase and proliferation of the technical opportunities concerning the access to and synthesis of data. It is possible even with personal computers to apply all kinds of statistical methods on “large” data collections by means of computers whose calculation capacity develop day by day. By this way the applications of the statistical methods on different subjects become widespread and make it possible to solve real world problems through innovative ways in various disciplines. 

The aim of M.Sc. in Applied Data Science at TED University is to help you know statistical concepts and methods, and especially new machine learning algorithms, which are partially new but have many applications

Besides, the enormous size of the data, which already exists and whose generation process is ongoing, foresees the adaptation to the necessities of the epoch by reviewing the statistical analysis, storage, visualization techniques.