• Communication skills
• Writing skills
• Business English

• Exercise with max. 30 participants
• Group and individual work
• Discussions and role plays
• Presentations and mini-lectures

• Einführung in die Steuerwissenschaften
• Steuersysteme: Liechtenstein, Deutschland, Österreich, Schweiz
• Lösungsschema und Zusammenspiel: Nationales und Internationales Steuerrecht
• Nationales und internationales Steuerrecht: Liechtenstein, Deutschland, Österreich, Schweiz
• Fallstudien: Besteuerung natürlicher und juristischer Personen (Liechtenstein, Deutschland, Österreich, Schweiz)
• Vergleichende Analyse der Steuersysteme
• Anwendung von Doppelbesteuerungsabkommen

Vorlesung

• This course provides a comprehensive introduction to the application of econometric techniques in finance. Stu-dents will delve into both univariate and multivariate time-series analysis, gaining insights into key concepts of modern econometrics. Overall, students will be equipped with the necessary skills to analyse and interpret com-plex financial time-series data effectively. This course combines theoretical knowledge with practical application using R. Key topics covered are:Stationarity, differencing, and co-integrationHeteroskedasticity and volatility clusteringSelf-dependence and endogeneityVector auto regressions.Time series modelling, including ARMA and GARCHImplement and empirically test the above mentioned in R

• Interactive lectures combined with coding sessions (exercises).

• After successful completion of the course, students willProfessional competenceunderstand the complexity and pitfalls of financial data.apply advanced econometric techniques to analyse that complexity.formulate predictive models for quantitative and unbiased forecasts. - Methodological competenceformulate predictive models for financial time-series. - · understand and know how to implement models of univariate and multivariate volatility.· know how to detect, test and handle stationarity, heteroscedasticity and auto-correlation.· understand when to use univariate end multivariate time series models, know how to test and implement them and interpret the output of such models.Technological competenceconduct econometric analyses and forecast financial data using R. - Social competencesolve complex econometric problems as a team.

Project (50%), Written exam (50%); Attendance is mandatory (80%)

Students will explore how to establish effective governance frameworks that enable businesses to leverage AI while managing risks. The curriculum also delves into strategic planning for generative AI, illustrating its potential to revolutionize business models and enhance operational efficiency. Additionally, students will learn about trans-forming companies towards AI companies, including changing organizational culture to thrive in the AI era. Key points are:

• Data and AI governance: Frameworks for businesses for seizing opportunities while mitigating risks
• Data and AI strategy with focus on Generative AI
• AI Transformation: Leading a company into the AI area
• Ethical considerations in AI

• The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.

After successful completion of the course, students will

Professional competence
• Gain an understanding of how AI can be integrated into business strategies and operations effectively and ethically.

Methodological competence
• Develop skills in designing and implementing AI governance frameworks and strategies that align with business goals and ethical standards.

Social competence
• Learn to navigate the ethical, social, and cultural challenges associated with AI technologies in a work-place, fostering responsible AI use.

Personal competence
• Enhance critical thinking and ethical reasoning abilities in the context of AI deployment and management.

Technological competence
• Understand implications and handling of weaknesses and strengths of AI technology

Written exam

This optional module allows for various kinds of research studies. It is closely connected to the five units of the Liechtenstein School of Architecture and is usually part of ongoing research projects. The supervision consists of directing the students towards clear results within a given field of research. The individual study is reviewed within the respective unit.

Sustainable Design Unit:
Research in Sustainable Architecture - Focus on Fluidglass This elective module invites participants to explore the transformative potential of Fluidglass technology within the realm of sustainable architecture. In alignment with the ongoing research at the LSA, this module allows you to examine how innovative facade technologies such as Fluidglass can influence the future of construction. Participants will have a unique opportunity to contribute to the advancement of Fluidglass in the context of sustainability and contemporary building practices. Depending on the desired credit allocation, tailored work packages will be developed. These may include an exploration of current advancements in facade technology, competitor and market analyses, or technical and cost simulations. Your interests and prior knowledge will be taken into account during the initial phase of the project. Participants will engage in self-directed research, working either individually or in collaborative groups. The scope of your work will be customized to meet the specific requirements of your selected work packages and will be guided by the research unit. While there are no formal prerequisites for this module, it is advisable to undertake it in the third semester to build upon foundational knowledge. Essential literature and resources will be provided at the commencement of the course, with regular updates throughout the semester to support your work and great importance is placed on equipping the participants with a strong foundation for future projects and scientific work in the field of sustainability.

Self-defined design or research studies, developed individually or in groups agreed upon with research units and under the guidance of mentors. The size of the module is determined by the respective unit.

After successful completion of the course, students will be able to

Minimum 75% compulsory attendance, regular meetings with instructors, continuous assessment, portfolio and final review.
The final grade is calculated according to the weighting of the following components: final submission (80%) and oral presentation (20%).

Individual appointments will be set with the tutor.

• This course is designed to foster critical thinking skills among first-semester Master in Finance students. The mod-ule consists of two input sessions, where foundational concepts and techniques of critical thinking are introduced, followed by four discussion sessions. In these discussion sessions, students will analyse and debate current topics with a strong emphasis on applying critical thinking principles to evaluate arguments and evidence.Key topics covered are:Introduction to critical thinkingAnalytical techniquesLogical reasoningBias identificationArgument evaluationCurrent topic discussionsInteractive debatesEvidence-based analysisReflective thinking

• Input Sessions:Socratic Method: Use guided questions to introduce foundational concepts and techniques of critical thinking. Encourage students to think deeply and articulate their thoughts.Mini Lectures: Brief lectures to provide essential background information and context for the discussion topics. - Discussion Sessions:Structured Debates: Organize students into groups to debate current topics. Each group prepares argu-ments for and against the topic, ensuring they apply critical thinking principles.Role-Playing: Assign students different perspectives or stakeholder roles to argue from, enhancing their ability to understand and analyse diverse viewpoints. - Case Studies:Real-World Analysis: Provide case studies related to current financial issues. Students analyse and discuss these cases, applying critical thinking to evaluate different outcomes and solutions.

• After successful completion of the course, students willProfessional competenceUnderstand critical thinking principles.Apply critical thinking to financial topics.Analyse complex financial arguments. - Methodological competenceCreate logical frameworks.Evaluate evidence and sources.Apply analytical techniques to discussions. - Social competenceUnderstand diverse perspectives.Communicate effectively in debates.Analyse and respect differing viewpoints. - Personal competenceDevelop independent thinking skills.Improve reflective thinking abilities.Evaluate personal biases. - Technological competenceUtilize online platforms for discussion and collaboration.

Written exam (40 %), Discussion participation (30 %), Reflection paper (30%)

This optional module allows for various kinds of research studies. It is closely connected to the five units of the Liechtenstein School of Architecture and is usually part of ongoing research projects. The supervision consists of directing the students towards clear results within a given field of research. The individual study is reviewed within the respective unit.

Sustainable Design Unit:
In this module, you will engage in a detailed analysis of a sustainability indicator such as Environmental, Social, and Governance (ESG) criteria, Sustainable Development Goals (SDGs), or building standards like LEED or DGNB. You will explore how these indicators can be integrated into a sustainability matrix. The scope and complexity of your research, as well as its relevance to architectural inquiries, will determine the workload, which will be agreed upon in consultation with your supervisor. Your interests and prior knowledge will be taken into consideration at the outset of the project. This elective module provides an opportunity to engage in research focused on defining sustainable building practices within the Alpine Rhine Valley. In alignment with ongoing research at the LSA, the module is centered on the development of a comprehensive catalogue of themes related to sustainable construction. Through comparative analyses of building labels and broader sustainability frameworks, you will examine how these themes can guide sustainable architectural practices in the region. This module presents a unique opportunity to contribute to the academic discourse on sustainability and to shape future building practices. Participants will conduct self-directed research working either individually or in collaborative groups. The scope of your work will be customized to align with the specific requirements of your project and will be overseen by the research unit. Essential literature and resources will be provided at the start of the course, with continual updates throughout the semester to support your research on sustainability in architecture.

Self-defined design or research studies, developed individually or in groups agreed upon with research units and under the guidance of mentors. The size of the module is determined by the respective unit.

After successful completion of the course, students will be able to

None.
It is recommended to complete this course in the third semester. The prerequisite for admission is a subject registration and the approval of the responsible unit.

Minimum 75% compulsory attendance, regular meetings with instructors, continuous assessment, portfolio and final review.
The final grade is calculated according to the weighting of the following components: final submission (80%) and oral presentation (20%).

Individual appointments will be set with the tutor.

Group projects are also possible, as well as group work with individual submissions.

The course is an introduction to the field of Finance, reiterating the most important concepts from a bachelor's degree with a focus on Finance. It builds on the time value of money principle and applies it to the valuation of bonds, interest rates, and capital budgeting. The course also highlights some of the most significant markets for financial instruments. The main goal is to establish a strong foundation for understanding the key concepts of Finance.
Key topics covered are:

• Introduction to financial markets
• Interest rates and bond prices
• Structure of interest rates
• Market efficiency
• Funds markets
• Money markets
• Bond markets

• The module involves interactive lectures with exercises to integrate theoretical knowledge with practical de-sign and analysis skills.

After successful completion of the course, students will

Professional competence

• Understand foundational finance concepts.
• Apply the time value of money principle.
• Evaluate bond pricing and interest rates.
• Analyse the role of funds.

Methodological competence

• Analyse the structure of interest rates.
• Evaluate market efficiency.
• Apply valuation techniques in capital budgeting.

Social competence

• Discuss financial market concepts with peers.
• Communicate complex financial ideas effectively.

Personal competence

• Develop a deeper understanding of financial markets.
• Improve critical thinking related to finance.

Final Written Exam

The Pro Bono Project emphasises the importance of social responsibility and offers students a platform to engage in nonprofit activities for the well-being of society. It provides an opportunity to initiate, develop and implement a project in collaboration with partners from practice (e.g., municipality, association, school, NGO, etc.). The project is studentled, with the guidance of mentors. It can be either a built intervention or an activity, but it must have a connection to the built environment and serve the common good. The Pro Bono Project is intended to bring added value both to the Liechtenstein region and to the international context. Collaboration between Bachelor´s and Master´s students, as well as with students from other programs at the University of Liechtenstein is encouraged. Both group projects of up to five students and individual projects are possible. The Pro Bono Project has to be linked to at least one unit of the Liechtenstein School of Architecture.

Student-led project work under the guidance of mentors. Sustainable action within a self-selected environment is critically analysed and applied. The Pro Bono project allows students to establish a close link to practice. By preparing a Pro Bono Project, students gain an in-depth insight into the three main areas of professional activity: concept phase, implementation phase and reflection phase. Students can complement and test their theoretical studies with practice-relevant
work.

After successful completion of the course, students will be able to

Minimum 75% compulsory attendance
The introduction, two inputs as well as four mentoring meetings – the first two during the planning phase (before submitting the application) and the other two during the implementation phase – are compulsory.
The final grade is calculated from the weighting of the following components: project application (20%), final report (40%) and project presentation (40%).

For Bachelor students: submissions can be done in German

In Project Seminar, students analyse a real-world case from a specific industry. Students divide into groups according to their preferences and work on one of four cases through the lens of process management, data and application security, data science, or digital innovation. The course topics change from semester to semester.

• The course involves interactive seminars with workshops and regular presentations.
• The faculty and a jury of representatives from regional companies evaluate the students’ solutions in terms of innovativeness and usefulness and provide them with feedback and advice.

After successful completion of the course, students will

Professional competence

• be able to analyse real-world cases
• integrate knowledge to identify areas of improvement or innovation
• use appropriate methods to develop recommendations for a case company

Methodological competence

• manage a (small) project
• identify and structure existing information
• work with domain experts (external partners)

Social competence

• self-organise within a group
• work in a group and with external partners
• handling criticism and demonstrate the ability to criticise in a constructive manner

Personal competence

• reflect on limitations of their own work
• work on tasks independently within a group
• manage time

Seminar paper (50%), presentations (50%); attendance is mandatory (80%)