Retail & Technology
Hybrid Leadership and Organizational Development in Retail
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1HFOIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
HR work in technologized organizations encompasses a wide range of goals and tasks, including personnel requirements planning, the basic foundations of personnel marketing, recruitment, and remuneration policies. In addition, personnel development and redundancy also play a key role. In the field of organization and project management, students examine the basics of companies and organization, various organizational theories as well as operational structures and process management. The focus of the course is on shaping change management induced by technologization.
Learning Outcomes:
Upon completion of this course students will: - be able to identify and assess the framework conditions for personnel management and organization based on a company`s overall strategic orientation and degree of technologization; - understand the range of human resources management tools and their effects; - recognize the importance of organizational design as an essential element in the management process; - be able to assess the contribution of organizational policy decisions to corporate governance and apply them to specific fields in project management.
Superior module:
Transformative Retail Management
Module description:
tba
Intercultural Management
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1INMIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
As a result of globalization, the requirements for managing change and sustainability are further deepened. The contents of this course are: - culture frameworks and taxonomies - global dexterity and cultural intelligence - working for and managing multinational organizations - recruiting for MNCs or across cultures - planning and executing international assignments - managing multicultural teams.
Learning Outcomes:
Upon completion of this course students will: - understand how culture influences management tasks and how to devise communication strategies to accommodate cultural diversity; - know how to structure and manage teams that embrace culturally diverse backgrounds and use these effectively; - be aware of the challenges of international and expat assignments and be able to measure performance as well as reintegrate employees after an international assignment; - appreciate the challenge of communicating effectively across cultures; and - have developed strategies to achieve goals in a multinational, diverse setting. The following defined key competencies in Change & Sustainability will have been developed further: decision-making and problem-solving, goal orientation, resilience and stress management, analytical & judgment skills.
Superior module:
Methodological Principles and Theories
Module description:
tba
International Economic Relations
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1INWIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
This course discusses the determining factors and effects of increasingly internationalized economic activities and their regional connections, along with the requirements for international competitiveness and benefits of the international division of labor. It addresses the opportunities and challenges for businesses resulting from the growing internationalization of commerce and production within an open economy: the opportunities arising from using new sourcing and sales markets and from segmenting value chains across borders on the one hand, and the challenges of heightened competition as market integration intensifies on the other hand. As corporate complexity management needs to deal with these evolving international economic relationships to operationalize opportunities and risks, this course explores the dynamics of international markets. To illustrate the interconnectedness of the world and the growing significance of these international contexts for corporate decision-making, this course will therefore address the following aspects: - foreign trade theory; - structures, borders, and globalization criticism; - digitalization and sustainability as drivers of globalization or re-regionalization; - processes and crises of market integration, especially in the European context; - implications of the increasing global interconnectedness for corporate decision making; - requirements for achieving international competitiveness; - goals and types of international involvement / transnational business relations considering industry- and country-specific procurement, sales, and financing conditions.
Learning Outcomes:
Upon completion of this course students will: - have gained deep insights into the changes and risks businesses and corporate decision makers face in a corporate environment, especially taking into account changing framework conditions for entrepreneurial action: increasingly internationalized economic activities and intensified market integration, the emergence of new competitors, the significance of digitalization for international economic relations, changing consumer behavior, shortened product life and innovation cycles with the resulting need to innovate, and not least, the requirements of running sustainable operations.
Superior module:
Methodological Principles and Theories
Module description:
tba
Organizational Development
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1OREIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
The task of managers is to initiate and lead change in their area of responsibility. To achieve this, they need transformative skills in organizational development. The contents of the course are: Basic elements of organizational development; theories of organizational development; methods and tools of organizational development; coaching; teamwork; simulations throughout the entire organizational development process; development of key competencies for the development of organizations, above all willingness and ability to change, willingness and ability to learn, systemic thinking, ability to make judgments on how to deal with problems.
Learning Outcomes:
Upon completion of this course students will: - know the basics, methods, models, and tools of organizational development, teamwork and coaching; - be able to assess the use of these tools and the organizational development process in an increasingly changing and uncertain business environment and evaluate possible effects; - have significantly developed their willingness and ability to change, their willingness and ability to learn, their systemic thinking, their judgment in dealing with problems and thus their transformative skills.
Superior module:
Methodological Principles and Theories
Module description:
tba
Quantitative Methods
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1QAMIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
The goal of this course is to provide a solid basis for empirical quantitative research on topics in the fields of economics and social sciences. The contents include standardized surveys using methodological basics, questionnaire development, pre-tests, and data processing. In addition, survey forms, question types, survey tactics, and scaling processes are also covered. Further topics include respondent selection approaches in sample planning, concept specification, operationalization and measurement, data preparation and data analysis, including cross-tabulation, contingency analysis, correlation analysis, regression analysis, and analysis of variance.
Learning Outcomes:
Upon completion of this course students will: - be able to work on a relevant topic in a results-oriented manner using a systematically structured approach with defined sub-steps and adequately applied scientific methods; - have gained in-depth knowledge of quantitative survey and evaluation methods in empirical social and economic research, multi-method approaches, and explorative approaches; - be familiar with the various types of standardized surveys (oral, written, telephone, and online surveys); - be able to develop a standardized questionnaire for quantitative surveys using suitable scaling, survey techniques, and survey tactics; - be familiar with the relevant sample planning procedures for selecting respondents; and - will have gained advanced knowledge in the use of multivariate data analysis methods.
Superior module:
Methodological Principles and Theories
Module description:
tba
Retail Circularity
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1RCIIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
The course addresses the growing importance of the circular economy in the retail sector in the context of global sustainability efforts. The principle of circular economy promotes efficient use of resources and minimization of waste. This course teaches students how retail companies can contribute to sustainability by designing durable, repairable, and recyclable products. The course analyzes existing take-back systems and recycling programs, as well as the role of second-hand stores, the sale of refurbished products or the re-use of products. Students will learn how such initiatives can not only help to reduce environmental impact but also create economic benefits for companies. The growing awareness of consumers for sustainable products and the resulting pressure on retail companies is also addressed. A key focus of the course is on the need for sweeping changes in business models and supply chains to ensure successful integration of circularity in the retail trade. In this context, selected legal regulations such as the Supply Chain Act ("Lieferkettensorgfaltspflichtengesetz") are examined, which requires companies to ensure compliance with environmental and social standards throughout their entire supply chain.
Learning Outcomes:
Upon completion of this course students will: - be able to think ahead, design, and integrate circularity into retail businesses; - know how to align the legal requirements with the principles of the circular economy to develop sustainable and legally compliant business strategies; - be able to develop sustainable strategies and put them into practice in ways that meet the requirements of a sustainable, circular economy.
Superior module:
Transformative Retail Management
Module description:
tba
Retail Finance and Accounting
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1RFAIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
The course covers budgeting and financial planning, including preparation and monitoring of budgets as well as financial forecasting and planning, taking into account the particular characteristics of the retail business. Financial reporting and analysis take center stage, as does the application of management accounting tools and methods. With regard to technology projects in the retail sector, capital budgeting and profitability calculations are also covered.
Learning Outcomes:
Upon completion of this course students will: - have learned to analyze budgets and prepare financial forecasts for retail companies; - be able to assess the impact of strategic decisions (e.g. market and pricing strategies) and financial risks on strategic planning.
Superior module:
Transformative Retail Management
Module description:
tba
Retail Logistics
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1HLOIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
This course covers the basic foundations of logistics, including its tasks and objectives, its importance in industry, retail, and services and its role across sectors. A particular focus is on examining the use of state-of-the-art technology from a practical and scientific perspective. Specifically, micro and macro logistics systems, the concepts and objectives of logistics and supply chain management (SCM), their development stages and influencing factors as well as SCM strategies and tools especially in a retail context are discussed.
Learning Outcomes:
Upon completion of this course students will: - be able to independently and comprehensively explain the content covered in the course and assess it from a business management perspective; - have acquired the methodological skills to select and apply the methods and techniques of supply chain management (SCM) covered in the course for practical use cases; - have developed personal and social skills that enable them to recognize conflicting logistical objectives and dissonances and to provide rationales for initial reflections on social, societal, and ecological implications.
Superior module:
Transformative Retail Management
Module description:
tba
Retail Management Fundamentals
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1GRMIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
This module deals with the definition of retail, its institutions, and the special characteristics and roles of retail. Various types of retail operations as well as cooperation and integration-based systems are examined. Theories on the emergence and development of different types of retail operations are also covered. As regards retail marketing, the course covers strategic marketing and the marketing mix (product range, private label, service, location, communication, pricing strategies, store design, and product presentation). Other topics include the key fundamentals of supply chain management, information management, people management, organization, and planning and control in retail.
Learning Outcomes:
Upon completion of this course students will: - be able to present, explain, assess, and use the theoretical foundations of retail management; - be familiar with the methods and tools required in retail when developing corporate strategy and the marketing mix; - be able to apply, compare, and critically evaluate these methods and tools; - be able to apply the course content they have learned in a problem-oriented and solution-oriented manner; - be able to select and apply the appropriate tools or methods for largely standardized practical applications; - know the strengths and weaknesses of these tools and methods and be able to weigh them up against one another.
Superior module:
Transformative Retail Management
Module description:
tba
Sustainability and Circular Economy
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1NUCIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
This course explains what environmental and sustainability management in a company consists of and which functions, thought patterns, and tools are associated with it. In addition, the different circles of the circular economy are examined to see if and how they can be operationalized from a business management perspective. The business and macroeconomic opportunities and risks associated with sustainability are discussed in detail in the course. Points of contact with other disciplines as well as the standards and strategic foundations of a socio-economically sound sustainability management approach are also explored. Regarding the stakeholder groups of corporate management, various perspectives open up in which the views of the various agents are expressed with their respective objectives and options for action. Furthermore, basic knowledge of professional discourses on ethics and sustainability (e.g. the "trolley problem") is imparted to enable students to deal with the associated dilemmas in professional fields of work. In addition, the framework conditions for sustainable business activities are also discussed, i.e., how to operationalize SDGs and use the ESG framework to promote sustainability in corporate management. Aspects such as raw materials management with a view to conflict resources (e.g. rare earths) as a prerequisite for digital transformation are also addressed. As sustainability is intrinsically linked to sustainable consumption, the course examines consumption theory models across disciplines to shed light on sustainable consumption decisions. Since everyday decisions around food are often made without giving them much thought, they need to be discussed with reference to the World Agriculture Report, among others. Social sustainability will be introduced in relation to the expanding realization of commons, which are increasingly determining the environment of entrepreneurial activity: forms of digitally driven platforms (direct and indirect network externalities) and associated collaborations. Part of the course is the university-wide, interdisciplinary symposium on "Ethics & Sustainability," in which students in the Business Management Master`s program will work on the aforementioned topics.
Learning Outcomes:
Upon completion of this course students will: - know the functions and lines of thinking in environmental and sustainability management; - be able to recognize and assess instruments for use in environmental and sustainability management; - be able to make connections to other specialist disciplines; - have learned, based on environment-related forms of market failure, about business management instruments and strategies to internalize externalities in ways that unlock value creation potential. Therefore, students will have gained comprehensive knowledge of the opportunities of sustainability management, including ways of legitimizing them toward stakeholders, and will have acquired decision-making and problem-solving skills and analytical abilities and judgment. Historical findings (development of sustainability in institutions, from the Brundtland Report to the SDGs; civil society forms of social sustainability) require an increasing willingness to implement changes for reasons that will have been reflected upon in the course.
Superior module:
Methodological Principles and Theories
Module description:
tba
Sustainable Finance
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | RUTM1SFIIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
The transition of the global economy towards greater sustainability also depends to a high degree on investor requirements. The fact that investors consider sustainability criteria, e.g. when banks grant loans or when selecting assets in the portfolio, influences the behavior of those seeking capital. At the same time, capital that is purposely made available for sustainable investments can trigger sustainable changes (e.g. climate-friendly initiatives, female empowerment, poverty reduction). The course covers the following aspects: - governance, CSR, ESG, and finance: influence on investors and borrowers; - (regulatory) framework conditions: United Nations SDGs, EU Taxonomy, Sustainable Finance Disclosure Regulation, ESG ratings, Non-Financial Reporting Directive, etc.; - financial literacy and the associated positive effects on reducing (old age) poverty, better old-age provisions, green investments, etc.; - microcredit and its role in achieving the SDGs, especially poverty reduction through entrepreneurship, female empowerment, improving the living conditions of children; - impact investing or socially responsible investing and its contribution to achieving the SDGs via green finance, climate finance, etc.
Learning Outcomes:
Upon completion of this course students will: - know the drivers of sustainability orientation in finance; - understand the financial relevance of sustainability orientation, the pressure exercised by investors, politics, and NGOs to increasingly consider sustainability aspects that companies and financial intermediaries are exposed to; - understand the potential positive effects of sustainability orientation on a corporate level and from a more holistic viewpoint as per the SDGs; - have deepened their systematic and holistic thinking, by comprehensively discussing the topics mentioned along with their many interfaces to facilitate sustainability on different levels (diversity, female empowerment, fighting poverty, climate change); and - know about the relevance and role of sustainable finance for initiating positive change with a view to governance and ecological and social aspects.
Superior module:
Methodological Principles and Theories
Module description:
tba
Consumer & Shopper Psychology
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2CSPIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
The focus of the course is on examining responsible customer behavior within the context of the increasing digitalization of the retail sector. It covers a range of topics, including psychological constructs such as arousal and attention, the influence of emotions on consumer behavior, and the impact of attitudes. Furthermore, it addresses cognitive processes such as perception, information storage, and learning. Additionally, it explores consumer behavior at the physical point of sale (POS) and in the virtual environment. The social environment, including social groups like family and reference groups, is also taken into account.
Learning Outcomes:
Upon completion of the course students will: - have acquired an understanding of the psychological and social foundations of consumer behavior and its effects on the retail business; - be able to think holistically; - be familiar with the various measurement tools relevant to consumer behavior; - be able to apply these tools analytically and take informed decisions.
Superior module:
Transformative Retail Management
Module description:
tba
Data Analysis and Visualization in Retail 1
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2DVHVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
This course aims to enable students to visualize and analyze their retail data using a suitable programming environment. Students will learn how to collect, process, and interpret data from various sources to make informed business decisions. They will be taught the necessary tools and methods for data analysis and visualization. The course begins with an introduction to the basic concepts of data analysis, including the importance, objectives, and general process of data analysis.
Learning Outcomes:
Upon completion of this course students will be able to understand and apply the basic concepts and processes of data analysis in the retail business.
Superior module:
Retail Data Literacy Part 1
Module description:
tba
Data Analysis and Visualization in Retail 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2DVHIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
This course builds on the fundamentals taught in "Data Analysis and Visualization in Retail 1" and expands on them. It begins with how to handle different data sources and methods for data processing and cleansing, where students learn to understand and apply ETL (Extract, Transform, Load) processes. Following that, the principles and techniques of data visualization are taught, with students working with various visualization tools such as Python, R, Tableau, and Power BI. The focus of this part of the course is on creating and interpreting charts, graphs, and interactive dashboards to gain business-relevant insights. Students learn to apply the methods and tools taught in the course through practical case studies and projects, where they analyze and discuss real-life scenarios from the retail industry, create practice-oriented reports and dashboards, and present their findings. Particular attention is paid to the legal and ethical aspects of data analysis, including data protection, data security, and ethical considerations in data use. Through this course, students acquire the technical skills and theoretical knowledge to make data-based decisions in the retail business and actively shape the digital transformation.
Learning Outcomes:
Upon completion of this course students will be able to identify relevant data sources, collect, process, and cleanse data efficiently and implement ETL (Extract, Transform, Load) processes. Through the use of current visualization tools, they will have learned to visualize data, create diagrams, graphics, and interactive dashboards and interpret the insights gained from them.
Superior module:
Retail Data Literacy Part 1
Module description:
tba
Databases and Modern Data Architectures 1
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2DMDVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
The course provides students with fundamental knowledge and skills around databases and the development of modern data architectures. They learn the basic concepts and techniques of database management and gain insights into the latest trends and technologies in the field of data architectures.
Learning Outcomes:
Upon completion of this course students will have developed an understanding of the fundamental principles and techniques of database management and will be able to apply this knowledge in practice.
Superior module:
Retail Data Literacy Part 1
Module description:
tba
Databases and Modern Data Architectures 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2DMDIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
The course builds on the fundamentals taught in "Databases and Modern Data Architectures 1" and expands on them. Students will gain an in-depth understanding of the fundamental principles of relational databases, including data modeling, SQL (Structured Query Language), and database system management (DBMS). They learn how to design, optimize, and manage databases to ensure efficient and secure data processing. An important part of the course is the study of NoSQL databases, which are suitable for unstructured or semi-structured data. Students learn about different NoSQL database types, including document-oriented databases, key-value databases, column-oriented databases and graph databases. They will understand when and how NoSQL databases should be used as compared to traditional relational databases. The course covers modern data architectures including distributed databases, data warehousing, data lakes, and data mesh. Students will learn the principles and techniques for designing and implementing scalable, powerful, and robust data architectures that meet the needs of modern organizations. Another focus is on big data technologies and frameworks such as Hadoop, Spark, and Kafka. Students learn how these technologies can be used to store, process, and analyze large amounts of data. They will understand the challenges and solutions in dealing with big data, including real-time data processing and batch processing. The use of cloud databases and database services in the cloud is also covered. Students learn how cloud services such as Amazon RDS, Google Cloud SQL, and Azure SQL Database can be used to develop flexible and scalable database solutions. Students deepen their knowledge of data integration techniques and the development of ETL processes to extract data from various sources and transform and load such data into target systems. They understand how to design and implement data pipelines to ensure data quality and consistency. Students learn best practices and techniques for securing databases and data architectures, including access controls, encryption, and privacy policies. Students learn how databases and data architectures can be used to gain valuable insights through data analysis and business intelligence.
Learning Outcomes:
Upon completion of this course students will: - have developed a deep understanding of the basic principles and techniques of database management; - be able to apply this knowledge in practice; - be able to design, optimize, and manage relational and NoSQL databases to ensure efficient and secure data processing; - be able to design and implement modern data architectures that are scalable, powerful, and robust; - have gained knowledge of big data technologies and frameworks such as Hadoop, Spark, and Kafka and will be able to use them to store, process, and analyze large amounts of data; - understand the use of cloud databases and how to use cloud services such as Amazon RDS, Google Cloud SQL, and Azure SQL Database to develop flexible and scalable database solutions; - be able to apply data integration techniques and ETL processes to extract data from various sources and transform and load such data into target systems; - know best practices and techniques for securing databases and data architectures and will be able to implement them to ensure the protection and security of data; - be able to use databases and data architecture to gain valuable insights through data analysis and business intelligence, and - be able to use BI tools and techniques to support data-driven decisions. These learning outcomes prepare students to successfully plan, implement, and manage complex database and data architecture projects in various industries.
Superior module:
Retail Data Literacy Part 1
Module description:
tba
Digital Transformation in Retail 1
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2DTHVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
This course focuses on analyzing the increasing digitalization in retail. Students will be introduced to the basic concepts and current trends of digitalization, including the historical development and importance of digitalization in retail. Technological fundamentals and tools such as cloud computing, Internet of Things (IoT), Artificial Intelligence (AI), big data, platform economies, and omnichannel strategies in the context of retail are covered in a comprehensive manner. The social environment is also taken into account. The triple transition, which describes the simultaneous digital, ecological, and social change, is explored as an overarching framework providing students with a holistic understanding of the current transformation processes in retail.
Learning Outcomes:
Upon completion of this course students will: - have gained an overview and initial understanding of digitalization and digital transformation in retail; - be familiar with theoretical basics and examples of practical application, helping them understand and shape the challenges and opportunities of digital transformation in the retail sector; - be aware of future trends and developments in the digital transformation of the retail sector; - be prepared for professional practice in "technologized" retail.
Superior module:
Retail Technology Literacy Part 1
Module description:
tba
Digital Transformation in Retail 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2DTHIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
This course expands on the basic foundations acquired in the lecture on "Digital Transformation in Retail 1" and covers topics such as: (a) digitalization, automation, and robotics in logistics and sustainability and digital technologies in the supply chain, (b) legal and ethical aspects of digitalization (including data protection, data security, and legal framework conditions) or (c) information security management. Practical projects and case studies enable students to apply what they have learned and to analyze real-world scenarios. Future trends and developments in the digital transformation in the retail section are also addressed to prepare students for professional practice in digital retail.
Learning Outcomes:
Upon completion of this course students will: - have gained an advanced understanding of digitalization and digital transformation in retail; - understand the various technical and organizational measures for securing information systems and critical infrastructures; and - be able to implement these in retail practice.
Superior module:
Retail Technology Literacy Part 1
Module description:
tba
Management of IT- und Technology-Projects 1
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2MITIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
The course provides students with a comprehensive understanding of project management, with a particular focus on the nexus between retail and technology. The course provides students with an in-depth understanding of the fundamental principles of project management, including planning, execution, and monitoring of IT and technology projects. Particular emphasis is placed on the integration of technological solutions in retail processes, the efficient use of resources, and the management of project risks.
Learning Outcomes:
Upon completion of this course students will: - demonstrate an understanding of the fundamental principles and methods of project management, including the planning, execution, and monitoring of IT and technology projects; - be able to structure complex projects, use resources in an efficient manner, and proactively manage risks; - be able to apply a variety of project management approaches and determine the optimal circumstances for their use; - be able to use appropriate tools and techniques for project planning, monitoring, and evaluation; - cultivate proficiency in communicating and collaborating with a diverse array of stakeholders, ensuring that project objectives are met in alignment with the organization's strategic business goals; - know how to create effective project reports, organize stakeholder meetings, and resolve conflicts within a team; - demonstrate an understanding of the significance of change management and continuous improvement in the context of IT and technology projects; and - be able to manage change and implement continuous improvement processes to ensure long-term project success and sustainability.
Superior module:
Retail Technology Literacy Part 1
Module description:
tba
Modern Retail Environments
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2MREIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
The course focuses on the evolving design needs of the modern service industry. The digital revolution is driving significant transformations and presenting new design challenges. Retail plays a central and far-reaching role in consumers' lives, shaping various aspects of their daily experiences. The displacement of brick-and-mortar retail by online retail poses a particular threat to the city centers of small and medium-sized towns, significantly impacting public life. The design quality of retail plays a pivotal role in the perceived attractiveness and quality of public spaces. The course addresses three pivotal challenges in the design of virtual, stationary, and hybrid retail environments: (1) Enhancing the quality of design in retail and gastronomy for the benefit of customers and retailers, (2) formulating a harmonious synthesis between digital and stationary business models, and (3) developing socially conscious design principles that foster harmonious and attractive interactions between retail, gastronomy, and public space in city centers.
Learning Outcomes:
Upon completion of this course students will: - be able to articulate the material covered in an independent and comprehensive manner, situating it within a business context; - have gained proficiency in methodological skills, enabling them to apply the methods and techniques of designing retail environments as covered in the course; - cultivate personal and social skills that facilitate the identification of conflicts and dissonances between retailers and consumers, as well as the justification of initial reflections on social, societal, and ecological implications.
Superior module:
Transformative Retail Management
Module description:
tba
Privacy, Security & Resilience
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2PSRVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | final |
Lecture content:
The course expands students' knowledge of data protection and IT security to include aspects of resilience and business continuity management. The aim is to strengthen students' ability to ensure not only data protection and security, but also business continuity in crisis situations. Students deepen their understanding of the principles and best practices of data protection and IT security, including the General Data Protection Regulation and other relevant data protection laws. They learn how data protection and security can be implemented and continuously improved in retail companies. One focus is on asset and risk management. Students learn how risks can be identified, assessed, and mitigated to ensure information security and data protection. Techniques and tools for risk assessment and treatment are presented. The course introduces the concepts of resilience and business continuity management. Students will learn how companies can become resilient to disruptions and crises and maintain their business operations despite unforeseen events. Students learn how to develop business continuity plans that include strategies and measures to maintain business operations in crisis situations. This includes identifying critical business processes, conducting business impact analyses, and developing contingency plans. Another focus is on crisis management. Students learn how to respond to security incidents and other crises, take emergency measures, and ensure business continuity. This includes planning and executing emergency exercises and crisis simulations. The course covers technological solutions and tools that support resilience and business continuity management. Students will learn how technologies such as cloud computing, redundant systems, and automated backup solutions can be used to ensure business continuity. Students develop an understanding of the integration of security and resilience strategies into a company`s overall strategy. They learn how to plan, implement, and monitor security and resilience measures to promote a holistic and sustainable security culture.
Learning Outcomes:
Upon completion of this course students will: - have developed a deep understanding of the advanced principles and best practices in data protection and IT security; - be able to apply comprehensive risk management strategies and effectively manage risks to ensure information security and data protection; - be able to integrate safety and resilience strategies into the company's overall strategy and promote a holistic safety culture.
Superior module:
Retail Data Literacy Part 1
Module description:
tba
Sensors and Actuators in Retail 1
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2SKHVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
In this lecture, students gain an understanding of the application and integration of sensors, data management, and actuators in stationary retail. They learn the basic principles and functions of sensors and actuators and gain an overview of the different types of sensors, such as cameras and motion sensors, but also sensors in connection with the products (such as gas, temperature, and pressure sensors), as well as actuators such as motors and valves used in stationary retail.
Learning Outcomes:
Upon completion of this course students will: - have developed an understanding of the basic principles and applications of sensors and actuators in stationary retail; - be able to identify different types of sensors and actuators and evaluate their potential applications in retail.
Superior module:
Retail Technology Literacy Part 1
Module description:
tba
Sensors and Actuators in Retail 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | RUTM2SKHIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Building on the lecture on "Sensors and Actuators in Stationary Retail 1," this course provides additional knowledge in data management and data analysis, including the importance of data in retail, data visualization, and the use of data management systems. In addition, the development and implementation of digital business models and innovations will be discussed, focusing on new business models, innovation management, and digital product development. A key focus is on the handling of data collected by sensors. The role of actuators in stationary retail is also analyzed. Students learn how actuators are used in automated systems to control and optimize processes, for example in warehousing, at the point of sale, or in logistics. The integration of sensors and actuators into networked systems is covered, with students learning to apply the principles of the Internet of Things (IoT) and how IoT platforms can be used in retail to network different devices and systems and process data in real time. In addition, real-time data processing is addressed, with students learning how such systems are implemented to enable fast and accurate decisions. Improving the customer experience through the use of sensors and data will also be explored, and students will learn how to develop personalized offers and services based on the data collected by sensors. The security and privacy aspects of handling sensor data are also covered, with students learning how to implement data protection policies and take security measures to ensure the integrity and confidentiality of the data. Practical applications and case studies complement the theoretical content and enable students to apply and deepen their knowledge by analyzing real-world examples and developing solutions to current challenges in the field of sensor and actuator technology in retail.
Learning Outcomes:
Upon completion of this course students will: - have developed an in-depth understanding of the principles and applications of sensors and actuators in stationary retail; - be able to apply techniques and tools for data collection, storage, and processing to gain valuable insights and make data-driven decisions; - be able to apply the principles of the Internet of Things (IoT); - be able to develop and implement networked systems that integrate sensors and actuators; - be able to implement real-time data processing systems to enable fast and accurate retail decisions; - be able to apply techniques to improve the customer experience through the use of sensors and data; - be able to develop personalized offers and services.; - be familiar with the security and data protection aspects of handling sensor data; - be able to implement measures to ensure data integrity and confidentiality; - have developed the ability, through practical applications and case studies, to analyze real-world challenges in brick-and-mortar retail and develop innovative solutions. These learning outcomes will prepare students to effectively use modern technologies in brick-and-mortar retail and improve efficiency and customer experience.
Superior module:
Retail Technology Literacy Part 1
Module description:
tba
Automation and Process Optimization in Retail
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3APHIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
The aim of this course is to familiarize students with the basic concepts and techniques of automation and process optimization in retail. The course begins with an introduction to the importance and goals of process automation in the retail context, including identification of business processes that are suitable for automation. Various automation technologies and tools will be presented, such as Robotic Process Automation (RPA), workflow automation, and the use of Artificial Intelligence (AI) for process optimization. An additional focus is on analyzing and modeling business processes. Students learn methods for process analysis and modelling and use these to identify optimization potential. In doing so, the use of tools for business process modeling (e.g. BPMN, Business Process Model and Notation) is also covered. The practical application of automation technologies is deepened through case studies and projects. Students work on real scenarios from the retail sector, develop automation solutions, and implement them in practical exercises. A particular emphasis is on monitoring and measuring the effectiveness of automation measures, including on the development of key performance indicators (KPIs) and the use of monitoring tools.
Learning Outcomes:
Upon completion of this course students will: - have acquired the skills and knowledge to analyze and optimize business processes in retail through the use of modern automation technologies; - be able to identify automation potential, develop appropriate solutions, and monitor and evaluate their effectiveness.
Superior module:
Retail Data Literacy Part 2
Module description:
tba
Data-Based Processes in Retail
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3DPHIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Students are introduced to the fundamental concepts and current trends in data-based commerce, with a focus on the importance of data in the retail business and its influence on business decisions. An additional focus is on the practical application of data in various retail areas. This includes the development and implementation of data-based marketing strategies, such as personalized advertising and customer engagement through data-driven insights and the development of data products. Supply chain optimization through data-based forecasting and inventory management will be covered, as will the use of data to improve customer service and sales experiences. Legal and ethical aspects of data management, including data protection and data security, will also be discussed to provide students with a comprehensive understanding of the challenges and responsibilities when handling data.
Learning Outcomes:
Upon completion of this course students will understand and be able to - apply advanced concepts of retail data management and retail data analysis and the most important technologies and tools for processing and analyzing large amounts of data; - apply methods for the efficient collection, storage, and processing of retail data; - use data analysis and visualization techniques to gain and present meaningful insights; - develop and implement data-based decision-making processes in retail; - apply the legal and ethical challenges of data management in retail and develop and implement measures to protect data privacy and data security; - recognize and evaluate future developments and trends in the use of data in retail and assess their potential impact on business models and processes. These learning outcomes provide students with a comprehensive understanding of data-based processes in retail and prepare them for successful action in an increasingly data-driven environment.
Superior module:
Retail Data Literacy Part 2
Module description:
tba
Management of IT and Technology Projects 2
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3MITIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
This course builds on the foundations of the first part and deepens the knowledge and skills of students in advanced project management. It provides comprehensive, practice-oriented training that addresses the more complex aspects of project management and prepares students to lead challenging IT and technology projects in dynamic and diverse environments.
Learning Outcomes:
Upon completion of this course students will: - be able to apply advanced project management methods and tech-niques to successfully manage complex IT and technology projects; - have developed a deep understanding of project portfolio manage-ment strategies to effectively coordinate and manage multiple pro-jects; - be able to apply in-depth risk management techniques to proactively identify, assess, and mitigate risks in complex projects; - be able to develop and implement change management strategies to successfully manage organizational change and promote the ac-ceptance of new technologies.
Superior module:
Retail Technology Literacy Part 2
Module description:
tba
Master's Thesis Seminar
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3SMASE |
| Type | SE |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 4 |
| Examination character | immanent |
Lecture content:
This seminar addresses the quality aspects and standards of academic work as well as the characteristics of an academic working style. It covers the importance of theoretical frameworks and the various work phases and how to estimate the workload of the master's thesis. Types and characteristics of scientific publications are presented, methods and tools for literature research and reference management are taught and the correct use of citations and references is explained. In addition, methods and tools for creating academic papers, illustrations, documents, and presentations and how to handle formulas, tables, and graphics are taught. A special focus is on the use of AI tools and the avoidance of plagiarism. Finally, the systematic creation of a thesis proposal ("Exposé") and its discursive defense are discussed.
Learning Outcomes:
Upon completion of this course students will be able to - independently develop goal-oriented structures and content for academic papers and draft coordinated methodological and practical/empirical sections; - find relevant publications on the subject of their thesis and develop scientific lines of argumentation; - use and evaluate the quality of sources in terms of content, formal, and structural aspects, based on the knowledge they have gained of the publication life cycle and the peer review process; - understand the importance of a scientific-methodical approach and argue their ideas accordingly; - develop adequate experiments and discuss suitable metrics for answering research questions; - put all the required content components of the thesis proposal into writing; - independently coordinate their work with the supervisor and ultimately obtain their approval; - provide a binding schedule with individual steps and milestones, where time and material resources are adequately aligned with the complexity of the topic and the questions of the master's thesis.
Superior module:
Master`s Thesis Seminar
Module description:
tba
Retail Living Lab Project Part 1
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3RLLIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 5 |
| ECTS Credits | 10 |
| Examination character | immanent |
Lecture content:
This master's course focuses on solving current problems in retail through the use of modern and experimental technologies in a living lab. The course combines theoretical insights with practical project work and offers a structured methodology for the selection and implementation of technologies. In the first part of the course, a living lab environment is designed for a cooperation partner and prepared for use. In this course, students acquire the ability to analyze and solve current challenges in retail using innovative technologies. They learn to select and evaluate technology applications and to implement and evaluate projects in a structured manner. The course also promotes teamwork, project management, and presentation skills. The course begins with an introduction to the current challenges in retail, including the identification and analysis of problem areas and an overview of technological trends and innovations. This is followed by units on technology scouting and selection, in which methods for selecting suitable technologies and evaluation criteria are taught. An additional focus is on project management and agile methods, where students are introduced to project management techniques and their application in projects. The practical applications include, for example, the use of artificial intelligence (AI) and machine learning to develop and implement AI solutions, the use of the Internet of Things (IoT) and sensor technology to optimize processes, and blockchain and data security to ensure data integrity and transparency. Robotics and automation in stationary retail and logistics are also possible topics. Other topics could include augmented reality (AR) and virtual reality (VR) to create immersive shopping experiences, big data and advanced analytics to use large amounts of data for decision-making, and cybersecurity and data protection to identify security risks and develop security strategies.
Learning Outcomes:
Upon completion of this course students will: - be able to identify and systematically analyze current challenges and problems in retail; - be able to select suitable modern and experimental technologies for specific problems in retail and critically evaluate their potential; - have acquired project management skills by planning, organizing and implementing projects in the field of technology applications in retail, using agile methods and proven project management techniques; - have applied theoretical knowledge of modern technologies in practical projects in the Living Lab to solve real-world retail problems; - be able to work effectively in interdisciplinary teams to achieve common project goals and present and discuss the results in a professional manner; - will have strengthened their innovation skills by developing creative and innovative solutions to retail-related problems and experimentally testing new technologies; - will critically reflect on their own projects and their results in order to make continuous improvements and learn from experience. These learning outcomes will enable students to effectively use innovative technologies in retail and develop practical solutions for current and future challenges in the industry
Superior module:
Retail Living Lab
Module description:
tba
Robotics and Automation in Retail 1
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3RAHVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
This lecture begins with an introduction to the basics of robotics and automation, followed by an examination of current trends and developments in this field. Students will learn about different types of robots used in retail, including industrial robots, service robots, and autonomous mobile robots.
Learning Outcomes:
Upon completion of this course students will be able to understand the role of robotics and automation in retail and evaluate their potential to solve specific retail problems.
Superior module:
Retail Technology Literacy Part 2
Module description:
tba
Robotics and Automation in Retail 2
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3RAHIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
The focus of the course is on the specific application scenarios of robotics in retail. One focus is on the automation of warehouse and logistics processes, including the application of technologies such as automated storage systems, conveyor technology and, for example, drones. Students will also explore the role of artificial intelligence and machine learning in robotics and automation to understand their application in optimizing retail processes. The course also covers the integration of robotics and automation into existing retail infrastructures, including system integration and interoperability challenges and solutions. Another important aspect is the analysis of security risks and data protection issues related to the use of robotics and automation in retail. Teaching methods include lectures, interactive seminars, case studies, and group work. Practical projects allow students to apply and deepen their knowledge in real-world scenarios. Guest lectures by industry and robotics experts offer additional insights into practice and current developments.
Learning Outcomes:
Upon completion of this course students will: - have gained an advanced understanding of the role of robotics and automation in retail; - be able to evaluate their potential to solve specific retail problems; - have gained practical experience in implementing automation technologies; - have learned how to effectively integrate these technologies into existing retail processes; - be able to plan, implement, and evaluate projects to increase efficiency and productivity in retail.
Superior module:
Retail Technology Literacy Part 2
Module description:
tba
Sociotechnology
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3SOTVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | final |
Lecture content:
This course offers students a comprehensive insight into the interfaces between advanced technology and social developments. It prepares students to understand and shape the effects and possibilities of the latest technological developments in various social contexts. Students first learn about the concepts and visions behind Triple Transition (digital, ecological, and social transformation) and concepts such as Work 5.0, Industry 5.0, and Society 5.0. The course explores how these concepts are transforming the future work world, industrial processes, and society as a whole. It also covers the latest technological trends that enable these transformations, such as Artificial Intelligence (AI), robotics, Internet of Things (IoT), blockchain, and advanced data analytics. Students will gain a deep understanding of the technological foundations and their applications. Another kex component of the course is the study of the interaction between technological systems and social structures. Students examine how technologies change social dynamics and how social needs influence technological developments. Human-machine interaction and the future collaboration between humans and intelligent machines are examined in depth. Students learn how machines can be designed to be human-centered in order to create productive and positive working environments. The ethical implications and social effects of the new technologies are also discussed in depth. Students examine socio-technical issues of data security, data protection, job security, and social justice. They explore how Industry 5.0 and Society 5.0 can contribute to sustainability and social responsibility, and they also learn how technological innovations can be used to develop environmentally friendly and socially just solutions. The role of politics and regulation in shaping and controlling technological developments is also examined. Students learn to understand how legal frameworks and political measures influence the introduction and use of new technologies. Practical case studies and projects enable students to apply their theoretical knowledge. They analyze real-world examples and develop solutions for current challenges in the areas of Work 5.0, Industry 5.0, and Society 5.0.
Learning Outcomes:
Upon completion of this course, students will: - understand the concepts and visions behind these advanced technological and social developments; - be familiar with the technological foundations and latest trends such as AI, robotics, IoT, blockchain, and advanced data analysis and be able to evaluate their potential applications; - be able to analyze the interactions between technological systems and social structures; - understand how technological innovations change social dynamics and vice versa; - be able to evaluate concepts of human-machine interaction and apply human-centered design principles to create productive and positive work environments; - be able to take data protection, safety, and social justice aspects into account, through their exploration of ethical issues and the social impact of new technologies; - be able to develop sustainable and socially responsible solutions; and - understand the role of politics and regulation in shaping technological developments.
Superior module:
Retail Technology Literacy Part 2
Module description:
tba
Technology and Platform Architecture 1
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3TPAVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Lecture content:
This course provides students with the knowledge and skills required to design and evaluate technology and platform architectures. Participants will learn the fundamental principles of architecture development, including the analysis, design, and implementation of IT systems that meet the requirements of modern retail and technology environments.
Learning Outcomes:
Upon completion of this course students will: - have developed an understanding of the basic principles of technology and platform architecture; - be able to apply this knowledge in practice; - be able to select suitable technologies and platforms and integrate them into a coherent overall architecture, taking scalability, availability, and performance into account.
Superior module:
Retail Data Literacy Part 2
Module description:
tba
Technology and Platform Architecture 2
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | RUTM3TPAIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
This course places particular emphasis on structuring and integrating various technological components. Students gain insights into the selection of suitable technologies and platforms and how to combine them into a coherent overall architecture. They learn how to take scalability, availability, and performance into account in architecture planning. An important aspect is the exploration and application of architectural patterns and styles, such as microservices, service-oriented architectures (SOA), event-driven architecture (EDA), and cloud architectures. Students gain an understanding as to how these patterns can be used in different scenarios to meet specific business requirements.
Learning Outcomes:
Upon completion of this course students will: - have learned to develop and apply architectural designs based on modern architecture and design patterns such as microservices, service-oriented architectures (SOA), event-driven architectures (EDA) and cloud architectures; - understand the use and management of cloud computing services such as AWS, Azure, and Google Cloud and be able to apply them; - be able to integrate security aspects into architecture planning to ensure the protection of sensitive data and compliance with legal requirements; - have gained practical experience in architectural development and improved their skills through practice-oriented exercises and projects; - be able to analyze real-world case studies and develop solutions based on modern architectural principles; - be able to ensure that their architectural planning is flexible and adaptable to respond to rapidly changing business requirements. These learning outcomes prepare students to successfully develop and implement complex technology and platform architectures in various industries.
Superior module:
Retail Data Literacy Part 2
Module description:
tba
Master`s Exam
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | RUTM4MAEDP |
| Type | DP |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 0 |
| ECTS Credits | 2 |
| Examination character | final |
Lecture content:
Students present the motives of their master's theses, the methods used, and the results they have achieved in a coherent and concise manner and provide a well-informed outlook for the future. They answer the questions asked about their master's thesis in a manner appropriate to the target audience, explain complex relationships and visualize them adequately. In addition, they make clear and comprehensible connections to the main subjects of the study program and communicate the innovative aspects of their master's thesis in a generally understandable way.
Learning Outcomes:
Students present the motives of their master's theses, the methods used, and the results they have achieved in a coherent and concise manner and provide a well-informed outlook for the future. They answer the questions asked about their master's thesis in a manner appropriate to the target audience, explain complex relationships and visualize them adequately. In addition, they make clear and comprehensible connections to the main subjects of the study program and communicate the innovative aspects of their master's thesis in a generally understandable way.
Superior module:
Master`s Thesis Seminar
Module description:
tba
Master`s Thesis
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | RUTM4MASIT |
| Type | IT |
| Kind | Diploma/master thesis |
| Language of instruction | German |
| SWS | 10 |
| ECTS Credits | 18 |
| Examination character | immanent |
Lecture content:
Students develop and independently work on a problem from the subject areas of the master's degree program according to academic standards, with a particular focus on the innovative potential of the aspired solutions, and adhering to an approach that is scientifically oriented and argued on the basis of current literature.
Learning Outcomes:
Students write their master's thesis independently and take a scientific, systematic, and empirical approach. They analyze and present problems and identify relevant research questions and objectives, formulate hypotheses, and carry out the necessary work steps independently. They develop the content of their master's thesis based on the knowledge lines imparted in the study program¿s teaching and research, arguing and justifying their approach scientifically while also critically questioning their results.
Superior module:
Master`s Thesis Seminar
Module description:
tba
Retail Living Lab Project Part 2
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | RUTM4RLLIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 5 |
| ECTS Credits | 10 |
| Examination character | immanent |
Lecture content:
This master's course focuses on solving current problems in retail through the use of modern and experimental technologies in a living lab. The course combines theoretical insights with practical project work and offers a structured methodology for the selection and implementation of technologies. In this second part of the course, a living lab environment is implemented and used for a cooperation partner. In this course, students acquire the ability to analyze and solve current challenges in retail using innovative technologies. They learn to select and evaluate technology applications and to implement and evaluate projects in a structured manner. The course also promotes teamwork, project management, and presentation skills. The course begins with an introduction to the current challenges in retail, including the identification and analysis of problem areas and an overview of technological trends and innovations. This is followed by units on technology scouting and selection, in which methods for selecting suitable technologies and evaluation criteria are taught. An additional focus is on project management and agile methods, where students are introduced to project management techniques and their application in projects. The practical applications include, for example, the use of artificial intelligence (AI) and machine learning to develop and implement AI solutions, the use of the Internet of Things (IoT) and sensor technology to optimize processes, and blockchain and data security to ensure data integrity and transparency. Robotics and automation in stationary retail and logistics are also possible topics. Other topics could include augmented reality (AR) and virtual reality (VR) to create immersive shopping experiences, big data and advanced analytics to use large amounts of data for decision-making, and cybersecurity and data protection to identify security risks and develop security strategies.
Learning Outcomes:
Upon completion of this course students will: - be able to tackle and evaluate current challenges and problems in retail; - be able to carry out suitable modern and experimental technologies for specific problems in retail; - have acquired project management skills by planning, organizing, and implementing projects in the field of technology applications in retail, using agile methods and proven project management techniques; - have applied theoretical knowledge of modern technologies in practical projects in the Living Lab to solve real-world retail problems; - be able to work effectively in interdisciplinary teams to achieve common project goals and present and discuss the results in a professional manner; - will have strengthened their innovation skills by developing creative and innovative solutions to retail-related problems and experimentally testing new technologies; - will critically reflect on their own projects and their results in order to make continuous improvements and learn from experience. These learning outcomes will enable students to effectively use innovative technologies in retail and develop practical solutions for current and future challenges in the industry.
Superior module:
Retail Living Lab
Module description:
tba
| Legend | |
| Semester | Semesters 1, 3, 5: courses held only in winter semester (mid-September to end of January), Semesters 2, 4, 6: courses held only in summer semester (mid-February to end of June) |
| SWS | weekly contact hours over 14 weeks in semester (example SWS 2 equals 28 contact hours for the whole course |
| ECTS Credits | Work load in ECTS credits, 1 ECTS credit equals an estimated 25 hours of work for the student |
| Type | BP = Bachelor final exam DP/MP = Master final exam IL = Lecture with integrated project work IT = Individual training/phases LB = Lab (session) PS = Pro-seminar PT = Project RC = Course with integrated reflective practice RE = Revision course SE = Seminar TU = Tutorial UB = Practice session/Subject practical sessions VO = Lecture |