Data Science

Digitisation simplifies numerous processes and opens up design options that would have been unthinkable until recently, but this also means companies and institutions face new challenges that digitisation and the associated amounts of data entail. Many companies already recognise the enormous value that the use of data can have for product development, production, marketing, customer relationship management and ultimately sales. Therefore, when dealing with these large amounts of data, the focus is not only on statistical evaluation and information technology preparation but also on the targeted utilisation of the data collected for communication and marketing purposes. Data scientists therefore need additional competencies that enable them to strategically analyse the problems from an ethical, legal and business perspective and to implement them in a targeted manner in the company due to their pronounced communication skills. Data science generates a new interdisciplinary professional field. To meet these requirements, special skills are required that go beyond the know-how of a single discipline. The necessary knowledge to be acquired is made up of knowledge and skills from various areas of science. The new part-time, interdisciplinary and international Master's degree course of study in Data Science, which is part of Department 4 (Economics), fills this gap and provides in-depth training in the relevant disciplines. It includes content from the fields of business informatics, mathematics and statistics, business administration and marketing as well as media, law and communication science. The planned Master's programme will be taught in English and will be carried out in cooperation with the High-tech Business & Entrepreneurship Group of the University of Twente (Netherlands). It has a volume of 90 CP, extends over four semesters and concludes with a Master of Science degree. The Master's degree programme in Data Science is completed part-time and practically. It will take place consistently in English (subject to B2 level) and concludes with a Master of Science degree. The standard period of study is four semesters (including the final thesis). The Master's programme comprises a total of 90 credit points and includes 380 hours of face-to-face courses. The individual modules take place in blocks of four and a half days. The practical project is completed while studying. Module 1 – Introduction to Data Science and Programming Systems | exam (90 minutes), case study Module 2 – Data Management | exam (90 minutes), case study Module 3 – Data Analytics | exam (90 minutes), case study Module 4 – IT Management, IT Security, Ethics, Legal Aspects | group presentation (one hour), assignment (5,000 words) Module 5 – Self-Management & Leadership | project (2 weeks), group presentation (one hour), essay (5,000 words) Module 6 – Practical Phase & Project Work | presentation (15 minutes), written elaboration (3,000 words) Module 7 – Social Media & Communications | exam (90 minutes), case study Module 8 – Application Areas | exam (90 minutes), case study Module 9 – Master's Thesis (maximum of 50 pages, working period: seven months) PDF Download