In the following, you can find information on the specific major perspectives and course modules.

The Minor in Information Systems (Business Informatics) can be chosen by students in the Master’s program in Business Administration, regardless of their selected major. Further information is available either on the information pages for the Master’s in Business Administration or from our contact persons for the Master’s program and the Minor in Information Systems:

Dr. Lena Clever
Email: info.master@wi.uni-muenster.de

Minor students are not restricted to a predefined set of courses. Instead, they can freely choose modules from the three majors (Managing Digital Business, Business Process Management, and Data Science) according to their interests and prior knowledge, provided that these modules have not already been completed as part of their studies.

In the following, you can find information on the specific major perspectives and course modules.

Majors of Information Systems

• Managing Digital Business

  You see how companies and organizations are changing through digital innovations and technologies? You want to support them in successfully navigating the opportunities and challenges of the digital age? Then we recommend the major in Managing Digital Business.

  ...you are passionate about digital innovations and technologies such as artificial intelligence, Big Data, IoT, and Blockchain and want to understand how they are reshaping the business landscape.
   
  ...you have studied Management or Business, are interested in the application of technology and digital innovations in a management context, and aim to lead companies successfully in an increasingly digitized world.
   
  ...you have studied Innovation or Technology Management and want to specialize in concepts, processes, and strategies of innovation in the digital age, aiming for the exploration of new markets and sustainable competitive advantages.
   
  ...you are interested in sustainability and want to learn more about the integration of digital innovations into sustainable development and Corporate Social Responsibility, as well as the role of technology in addressing global challenges such as climate change and social injustice.

  Overview of Content – Here's what the modules in this major offer you:

  1. Digital Innovation: Concepts of technology and innovation management in the digital age, combined with practical insights into innovation processes and strategies in various organizations.
  2. Leveraging Digital Technology: Impacts of IT/DT deployment on economies, industries, and companies; Preparation for trends, opportunities, and challenges of utilizing digital technologies.
  3. Organizing Digital Value Creation: New forms of value creation through digital technologies within companies and across organizational boundaries, such as digital platforms and networks.
  4. Responsible Management: Management responsibility in the digital age; Questioning traditional models of thinking under the influence of digital innovations.
  5. Digital Innovation and Sustainable Development: Role of digital innovation in the context of sustainable development; Insights into concepts such as the UN Sustainable Development Goals, Leadership, and Digital Ethics.
  6. Current Topics in Digital Business: Engagement with current issues, topics, and developments in the research and practice of the Digital Business field.

   

• Business Process Management

  If you’re interested in strategically designing business processes and integrating information technologies into organizational workflows to enhance efficiency and competitiveness, then the Business Process Management major is perfect for you.

  • … have e.g. studied Management or Information Systems and want to learn more about how processes in organizations can be designed, implemented, and improved to increase efficiency and gain competitive advantages.
  • … you have studied Computer Science or Engineering, have basic knowledge of Business Administration, and want to learn how information systems can be deployed or engineering principles applied to operational processes to automate and optimize business processes.

  Overview of Content – Here’s what the modules in this major offer you:

  1. Process Thinking: Development of a process-oriented mindset to identify challenges and innovative business opportunities; Introduction to the theoretical foundations of Business Process Management (BPM) and state-of-the-art frameworks and methods.
  2. Process Engineering: Technical concepts of BPM; Optimization of business processes using tools such as Process Mining, process definition, implementation, and improvement, as well as Robotic Process Automation.
  3. Enterprise Architecture Management: Integration of business and IT aspects to understand and describe organizations as a whole; Holistic approach aiming to align business and IT.
  4. Public Services: Development, implementation, and management of public services from an IT perspective, with focuses on Human-Centric Design, User Experience, and Usability.
  5. Supply Chain Management: Application of data, process, and reference modeling in the context of Supply Chain Management; Integration of Data Analytics and digital transformation technologies into supply chain integration.
  6. Production and Retail: Application of information systems in the trade and production context, including process modeling, Enterprise Resource Planning, and intelligent trade/manufacturing.

   

• Data Science

  You are already familiar with Data Science and are interested in advanced concepts and applications? Complex mathematical models and techniques do not intimidate you, but rather motivate you? Then you are in the right place with Data Science as your major.

  • … you are a Data Enthusiast with a passion for data analysis and interpretation and are interested in gaining deeper insights into the advanced aspects of Data Science.
  • … you are mathematically and technically adept, coming from mathematics, statistics, computer science, or a related field, and can understand and apply mathematical and algorithmic fundamentals.
  • … you aspire to a career in data analysis, data science, or related fields and want to specialize in advanced methods and techniques to solve complex data problems.

  Overview of Content – Here’s what the modules in this major offer you:

  1. Unsupervised Learning: Introduction to the fundamentals of unsupervised machine learning, including data preparation, quality assessment, and methods such as clustering and dimensionality reduction.
  2. Supervised Learning: Basics of supervised learning methods, with a focus on mathematical fundamentals and practical application to real-world data.
  3. Optimization and Decision Making: Advanced optimization methods for complex problems as well as decision-making strategies, such as evolutionary optimization, multi-criteria optimization, and decision theory, accompanied by algorithmic prototyping.
  4. Mining Massive Datasets: Classical methods and techniques for analyzing large structured datasets, including data integration, data quality, and distributed analysis environments.
  5. Trust and Security in Data Science: Ensuring data trust and security, including bias mitigation, transparency, access control, and societal issues such as IT security, data privacy, and human rights.
  6. Deep Learning: Methodological foundations and applications of Deep Learning, from image analysis to content generation to automatic decision-making, using frameworks such as TensorFlow or PyTorch.