In times of "Big Data", data scientists are in demand as experts: using methods from mathematics, computer science and statistics, they extract facts and knowledge from large amounts of data. Data science is still a young occupational field, and degree programmes in this field are rare in German-speaking countries. The interdisciplinary Master's programme in Data Science at the Hochschule Darmstadt is aimed at prospective students from the fields of Computer Science and Mathematics who want to specialise in this exciting new field. You can find more detailed information on the programme at the website the Faculty of Mathematics and Natural sciences.
Data Scientists are in great demand on the labour market. Graduates of the Master's programme encounter excellent job opportunities, for example as analysts, consultants, systems architects, in management and in science. They are needed in many industries, such as:
- Banks and insurance companies
- Trading company
- Management and organisational consulting, market research companies
- Social media, telecommunications, online commerce and network management
- Bio-, pharmaceutical, chemical and medical industry
The Master's programme in Data Science is divided into four semesters. In the first semester, students from different Bachelor programmes are brought up to a uniform level of knowledge in a synchronisation module. Lectures with exercises and computer labs, seminars and an extensive practical project are supplemented by courses on the ethical aspects of Big Data, project management and communication. A detailed presentation of the course contents can be found in the module manual (German).
The admission requirement for the Master's programme in Data Science is a qualified Bachelor's or Diplom degree in the field of mathematics or computer science or comparable degrees with an overall grade of 2.5 or better. Candidates who do not achieve an overall grade of 2.5 but who have completed their studies with an overall grade of 2.9 or better may be admitted on the basis of an individual assessment (aptitude test). A detailed description of the admission requirements can be found in the Special Provisions of the Examination Regulations (German). You will find answers to frequently asked questions in the following FAQ (German).