Data Science & Intelligent Analytics PT
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Data Science & Intelligent Analytics PT

Master's degree program

Profile of the program

This degree program is taught primarily in German.

In the era of digitization, digital facts for the real work and living environment are becoming more and more important. Although data has always been used to support entrepreneurial processes, growing data storages and continually improving possibilities for automated data analysis offer new and underutilized potential for entrepreneurial activity. Data scientists must also align themselves with application disciplines in order to provide optimal decision-making bases for companies.


  • Top career opportunities due to the combination of technical expertise and application knowledge
  • Training with real data and state-of-the-art evaluation tools
  • Practice-oriented specialist knowledge for example in the following fields: visual analytics, big data processing, machine learning, business intelligence
  • Application-oriented specialist knowledge for example in the following fields: leadership, project management, innovative business models, business ethics

Vocational fields

  • Big data application developer
  • Data engineer
  • Big data & BI consultant
  • Data scientist
  • Manager for data science teams
  • Analyst for data science teams
  • Specialist for business intelligence & analytics

Focal points of the study program

  • 54% technical knowledge in data science & intelligent analytics
  • 13% management, leadership & business ethics
  • 15% consolidation courses & application of data science
  • 18% self-reliance & problem-solving skills

At the center of the next digital revolution

This study program is interdisciplinary as it unites technical skills from information science, statistics, mathematics and related application disciplines. Graduates acquire ready-to-use skills in data and its underlying technologies, in application domains within the company context as well as in the development and implementation of innovative solutions for sustainable and profitable usage of acquired data. These four interlinked core aspects, which only unfurl their effects in joint usage constitute the essential driving forces behind the study program. The special challenge consists in achieving a sufficiently high degree of complexity in the observation of data and technology at which the effects of data science only become practically observable. In order to achieve this, the study program relies on problem-supported learning with practically relevant datasets and technology packages that are specifically developed for this purpose: data science labs (hardware & software, infrastructure and large datasets). The master study program conveys a portfolio of skills that address various sections of the value-added chain: from raw data and underlying interface functions (management, strategy and business ethics) to economic success.

Freedom to focus

Due to the unique integration with other master’s programs,* students learn to work in an interdisciplinary way during their studies and are thus prepared for the challenges of heterogeneous fields of work. In order to make it easier for people with different educational backgrounds to start their studies, an optional preparation course is offered.

*Cooperation in elective subjects with other master’s programs: Web Engineering & IT Solutions, Smart Products & Solutions and ERP Systems & Business Process Management

Designing artificial intelligence

The integration of AI applications, tools, and methodologies is currently reshaping numerous industries, providing companies with fresh avenues for innovation and heightened competitiveness. Within the Data Science & Intelligent Analytics degree program, we delve into the inner workings of AI beyond mere buzzwords. Students gain comprehensive understanding in machine learning and data analysis, empowering them to craft AI solutions from scratch. Graduates of this program play a pivotal role in propelling forward this burgeoning yet rapidly evolving professional domain.

Recognition of prior learning

Students have the opportunity to have courses credited to them with previously acquired competencies before the start of the respective semester. The crediting is done by an application directly to the director of studies. 



4 semesters

Qualification rewarded

Master of Science in Engineering (MSc)

Language of instruction

71 % German, 29 % English

Semester abroad

Supervised study trip in the 2nd semester**


Euro 363.36* (excl. Student Union-fees) each semester

Organisational form


Places per year


* Information for third country students 
** Travel expenses for the semester abroad are to be covered by the students themselves or are supported by a grant.


Admission requirements:



Level of qualification:
second cycle, master