Engineering
English-taught interdisciplinary programme covering large-scale data handling, statistical modelling, visualisation, pattern recognition with machine learning, and ethical and legal questions. It is run by the Faculty of Business Administration and Economics and the Centre for Statistics jointly with the Faculty of Technology.
Faculty: Faculty of Business Administration and Economics | Duration: 4 semesters (2 years) | Study mode: full-time; English-taught | Intake: winter semester | Location: Bielefeld, Nordrhein-Westfalen, Germany
Students learn the foundations of machine learning and classical statistical tools, with discussion of legal and ethical implications.
Graduates work in data analysis in companies, research and development, consulting, public and social organisations, and academia.
First professionally qualifying higher education degree of at least six semesters, as set out in the subject-specific regulations (Fächerspezifische Bestimmungen) of the programme; applicants with a foreign degree are admitted if the degree is deemed sufficient and language requirements are met. Admission-restricted (NC). Application deadline (per the university deadlines page): winter semester 01.06.-15.07. (dates are day.month). No German proof required for international applicants; English at CEFR B2 per university guidelines.
Intake: winter semester
Duration: 4 semesters (2 years)
Apply through the official page: https://www.uni-bielefeld.de/studium/studieninteressierte/bewerbung/
Engineering
Bielefeld University, Germany
Engineering
Bielefeld University, Germany
Engineering
Bielefeld University, Germany
Engineering
Bielefeld University, Germany
Engineering
Bielefeld University, Germany
Engineering
Bielefeld University, Germany
Engineering
Bielefeld University, Germany
Engineering
Bielefeld University, Germany
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