Contemporary fields of study + interesting electives + practical education = successful careers

Students in the Master’s Programme in Information Systems acquire subject and method knowledge at the interface of computer science and business administration in a course of study that strongly promotes students’ personal development. The programme directly addresses the requirements of industry while at the same time providing a sound scientific education. Students also develop leadership and social skills in project seminars conducted with representatives of major companies.



In the first two semesters, students acquire fundamental business and IT knowledge. In modules like Management Information Systems and Information Systems Development, students learn how to design and use IT in professional business contexts.


In their second and third semesters, students can choose among various electives so they can specialise in any of three subject areas: Business Process Management, Data and Application Security, and Data Science. The Business Process Management electives focus on the analysis, design, and implementation of business processes and cover topics like strategic alignment, governance, methods, IT, people, and culture. The Data and Application Security electives address security essentials by covering the preventive, reactive, and organisational aspects of security. The Data Science electives focus on the collection, management, and analysis of data and cover state-of-the-art methods from fields like artificial intelligence and machine learning, including deep learning.

Master's thesis

In the fourth semester, students write a Master’s thesis. Students are continuously supported in writing their Master's thesis and receive regular feedback on their progress.


Students can take numerous cross-faculty electives, such as modules for communication and presentation training.

Course overview

First semester
Management Information Systems (6 ECTS)
Business Process Management (6 ECTS)
Data and Application Security (6 ECTS)
Data Management (3 ECTS)
Business Statistics (3 ECTS)
Innovation Lab (3 ECTS)
Cross-Faculty Elective I (3 ECTS)

Second Semester
Information Systems Modelling (3 ECTS)
Information Systems Development (3 ECTS)
Digital Innovation (6 ECTS)
Data Science (6 ECTS)
Enterprise Architecture Management (3 ECTS)
Elective I (3 ECTS)
Digital Business (3 ECTS)
Cross-Faculty Elective II (3 ECTS)

Third Semester
Emerging IT Topics (3 ECTS)
Human-Centered Design (3 ECTS)
Elective II (3 ECTS)
Elective III (3 ECTS)
Elective IV (3 ECTS)
Research Methods (3 ECTS)
Research Seminar (3 ECTS)
Project Seminar (6 ECTS)
Cross-Faculty Elective III (3 ECTS)

Fourth Semester
Master’s Thesis (27 ECTS)
Cross-Faculty Elective IV (3 ECTS)

Business Process Management
2nd semester: BPM and Organisational Practice (3 ECTS)
3rd semester: Business Process Analysis (3 ECTS), Supply Chain Management (3 ECTS), Business Process Implementation (3 ECTS)

Data and Application Security
2nd semester: Network and System Security (3 ECTS)
3rd semester: Intrusion Detection and Mitigation (3 ECTS), Security Management (3 ECTS)

Data Science
2nd semester: Artificial Intelligence and Deep Learning (3 ECTS)
3rd semester: Advanced Machine Learning (3 ECTS), Data Visualisation (3 ECTS), Multiple Linear Regression (3 ECTS)


Curriculum overview (until sommer semester 2020)
Curriculum overview (as of winter semester 2020/2021)