Master of science%3A data science in Bielefeld university

In view of the constant increase in data volumes and data complexity, aspects of data analysis are becoming increasingly important, such as handling large amounts of data, statistical modelling, visualization, pattern recognition with machine learning methods, but also ethical and legal issues.

English-speaking degree, Foreign University entrance qualification or have completed a Studienkolleg in Germany, school-leaving certificate, certificates of courses of study diploma and transcript of records, Additional documents CV; summary of your thesis, letter of motivation, certified copies of original certificates and translations in German or English, Proof of German language skills:TestDaF:at least level TDN 4 in all four exam parts or a total of 16 with at least TDN 4 in the exam part Writing, DSH-Pr fung: with a result of DSH-2 or DSH-3, telc German C1 University, Goethe-Certificate C2 : Great German Language Diploma Goethe-Institut, Deutsches Sprachdiplom der Kultusministerkonferenz Stufe II with level C1 in the Writing part and one additional part, Austrian Language Diploma C2 SD C2, Assessment test Studienkolleg, English Language requirements: TOEFL-Test (iBT) minimum of 93 points; (pBT) minimum of 580 points)/UNIcert: level III and IV/IELTS Academic Module, Band 7.0 or higher/CPE Examination (A, B or C)/CAE Examination (A or B)

Statistician, Business Intelligence Reporting Professional, Data Analyst

15th Sep