Introduction
For who?
The Master in Data Analytics and Management is a part-time programme, specifically tailored to the needs of managers and young professionals who would like to stay fully employed throughout their studies. We propose a dual-study structure, alternating block-weeks, which take place from Monday to Saturday approximately every nine weeks, and self-study phases, where you will work at your convenience, alone or in groups, on study-topics that you can choose to base on your own business projects, or on real-life cases.
Our lecturers and professors accompany you during both phases of study, providing guidance, advice and recommendations throughout the whole programme.
Curriculum
Firstly, you will get insights into the foundations of key technologies like machine-learning and blockchain. Secondly, you will be shown how this technological innovation can be translated into business-use cases. Finally, as a third step, you will be guided through the human aspect of digital transformation - how to bring key stakeholders on board to lead a sustainable change, which is crucial for long-term success. The last semester, consists of a six-month Master's thesis and a final conference.
Highlights
Cooperation with SAP Innovation Center
Lecturers specialised with state-of-the-art scientific knowledge
Practical application of methods and theory
Extensive network of industry experts and potential employers
Requirements
A first academic degree (Bachelor, Diploma or equivalent)
Preferably 2 years of relevant work experience
Excellent written and spoken English skills* (TOEFL - 90 iBT/IELTS 7.0 or equivalent)
Successful participation in our admission interview
Important information
Early Bird Discount (€3,500): 30th April 2021
Final Application Deadline: 15th August 2021
Contact
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Telephone
*Please note: Language proficiency waivers are possible for candidates, who have competed a previous degree in English, lived in an English speaking country for longer than a year or whose work language is English (confirmation from employer required).
