Business Information Systems – Advanced Analytics

Program overview

This application-focused Master of Science combines computer science, business administration and quantitative methods to give you both advanced theoretical knowledge and hands-on skills. The programme is designed to prepare graduates for leadership and strategic roles as well as research-oriented positions in software-driven industries and IT consulting.

You choose one of three specialisations. Advanced Analytics—offered in both English and German—centres on statistical analysis, machine learning and data-driven decision-making. Information Systems Engineering and Business Engineering are taught in German: the former covers the design, implementation and security of complex information systems, while the latter focuses on optimising business processes and managing organisational change through IT.

The English-language option is available exclusively within the Advanced Analytics specialisation and all instruction and assessment in that track are delivered in English. Successful graduates are awarded the Master of Science (MSc) degree, which also opens the path to doctoral studies or qualification for higher civil service positions in Germany.

• Study is application-oriented at the intersection of computer science, business administration and quantitative methods
• Specialisations:
  • Advanced Analytics — English and German (English-taught variant is fully taught and assessed in English)
  • Information Systems Engineering — German only
  • Business Engineering — German only
• Typical career outcomes: data scientist, business analyst, IT consultant, roles in software-driven industries, leadership and research positions
• Degree awarded: Master of Science (MSc); qualifies for doctoral studies and higher civil service roles
• Important for international applicants: language proficiency requirements apply (German for the German-taught tracks; English for the English-taught Advanced Analytics track) — consult the university’s admissions information for exact entry and documentation requirements.

Duration and format

• The programme runs over 3 semesters and can be taken full-time or part-time to accommodate working students. Teaching is primarily campus-based (less than 50% online) with instructor-led classes and online learning materials; attendance is generally not strictly mandatory and exams are offered each semester with resit opportunities.

Specialisations and core focus areas

• Advanced Analytics (English and German): coursework concentrates on statistical methods, machine learning and data-driven decision-making to prepare students for roles such as data scientist or business analyst.
• Information Systems Engineering (German): modules focus on the architecture, implementation and security of complex information systems.
• Business Engineering (German): emphasises IT-enabled optimisation of business processes and managing organisational change.

Learning outcomes

• Apply quantitative and computational methods to business problems, design and evaluate information systems, and translate business requirements into technical solutions.
• Lead strategic and operational projects in software-driven environments, and pursue research or doctoral-level studies after graduation.
• Acquire practical, application-oriented skills through instructor-led teaching supported by online materials; assessments and examinations reflect both theoretical understanding and practical competence.

Graduates are prepared for a range of professional roles in software-driven industries, consulting and public administration. Typical positions include data scientist, business analyst, IT consultant, information systems designer or process optimisation specialist, depending on the chosen specialisation.

The MSc also provides a pathway to research and doctoral programmes. The combination of technical, quantitative and business skills makes alumni attractive to employers seeking professionals who can translate data insights and IT solutions into strategic business decisions.