Professional skills
As a Master of Science in Engineering graduate with the Data Science profile you are able to research, analyse and improve data and data flows using a wide range of statistical methods. You organise the recording and acquisition of application-specific data from heterogeneous sources. You also deploy data mining and machine learning in a targeted way. The development of applications for the content-related and economic improvement of data flows is also part of your professional skills set, as are competencies such as the general business understanding of data flows.
Entry qualifications
Bachelor’s degree in a technical discipline. Candidates are individually assessed by the university of applied sciences chosen. The assessment of the entry qualifications is part of the admissions procedure.
Modules
The master’s degree programme focuses on in-depth specialisation. Two-thirds of the programme is devoted to this and is completed at a research unit of a university of applied sciences. As part of this in-depth specialisation you will write two project theses and the master’s thesis.
One-third of your degree programme focuses on theory, which is taught in modules. These theory modules are subdivided into three areas:
- Technical Scientific Modules | TSM
- Fundamental Theoretical Principles | FTP
- Context Modules | CM
Your degree programme is planned with support from your advisor. This study advisor will also guide you on the choice of theory modules and specialisation.