BSBI has selected the master in Data Analytics (MSc) (μεταπτυχιακό σε Data Analytics (MSc)) among many prestigious international programs offered by the University for the Creative Arts.
The master in Data Analytics (MSc) (μεταπτυχιακό σε Data Analytics (MSc)) is a postgraduate program in the field of data analytics at the Berlin Campus of BSBI. The course will provide students with key knowledge to work in data analytics but also provide them with the skills and confidence required to pursue their entrepreneurial dreams.
Προϋποθέσεις Εισαγωγής
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Κορμός Μαθημάτων
1η Περίοδος
Fundamentals of Data Analytics
Predictive Analytics and Machine Learning using Python
2η Περίοδος
Enterprise Data Warehouse and Database Management Systems
Big Data Analytics
3η Περίοδος
Visualization and Story Telling using Tableau
Computer Vision and Artificial Intelligence
4η Περίοδος
Dissertation
Μαθησιακά Αποτελέσματα
This master in Data Analytics (MSc) (μεταπτυχιακό σε Data Analytics (MSc)) aims to:
Provide conceptual frameworks for data analytics which draw insights from academic research into the challenges of contemporary technical, management and business practice in areas like business analytics, machine learning, artificial intelligence, natural language processing, computer vision and visualisation.
Enable students to synthesize and examine critically the opportunities and threats posed by both globalization as well as business innovation in the business analytics industry and how historic and contemporary frameworks provide insight into the future of the business analytics industry.
Highlight the complexity of the emergent organisational context of data analytics industries for both international and national settings as well as large and small organisations.
To offer students an integrated approach to the study of data analytics in the international industries that emphasises the interdependence between some of the core disciplines and practices of technology and management.
Enable students to excel in a professional and managerial environment having built on existing knowledge of fundamental concepts and skills whilst developing new ones.
Prepare students for high-level autonomous graduate employment, research, further study and lifelong learning by developing their intellectual, practical and transferable skills.
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