Digital Entrepreneurship

This course unit provides the following learning content: The potentials, forms and challenges of entrepreneurship within established organisations: 1) Corporate entrepreneurship 2) Intrapreneurship 3) Co-innovation with external partners. Application of different tools: Co-Innovation Builder, 3 Horizons, Blue Ocean Strategy, Corporate Entrepreneurship Toolbox, Intrapreneurship MOOC and others. 4) Digital transformation of existing business models and strategic partnerships.

This course unit provides the following learning content: A) Technologies for data acquisition 1. Networking of humans, machines and IT 2. Digital retrofitting B) Technologies for data storage and IT integration 1. IoT and IT integration 2. Data architectures and storage systems (e.g. cloud) C) Technologies for customer experience incl. web technologies 1. Web technologies (state-of-the-art technologies + protocols + hosting options) 2. Customer experience (e.g. UI/UX, AR/VR) 3. Mobile applications (e.g. wearables etc.)

This course unit provides the following learning content: – Modelling of service components based on requirements specifications using technical tools – Practical implementation of technical modules for digital services

This course unit provides the following learning content: – Awareness of the necessity of innovation; – Entrepreneurial mindset: definition, theory and conceptualisation; – Ability to identify business opportunities using creativity techniques and innovation methods; – Design thinking competence: from problem space to innovation space.

This course unit provides the following learning content: A: New Venture Creation 1.) Entrepreneurial theory & lifecycles 2.) Systematic and cyclic business planning approaches 3.) Understanding the entrepreneurial landscape, stakeholders and trends 4.) Steps and decisions for establishing a startup B: Strategy and Planning for Digital Businesses 1.) Strategy for epic businesses 2.) Lean approaches for startups 3.) Strategy validation instruments C: Disciplined Entrepreneurship Approach 1.) Market segmentation 2.) Selecting a beachhead market 3.) Profile the persona for the beachhead market 4.) Calculate the total addressable market (TAM) size for the beachhead market 5.) Full life-cycle use case and value proposition 6.) Charting the competitive position 7.) Setting the pricing framework 8.) Design a business model

This course unit provides the following learning content: A. Market research in the doing – Market segmentation techniques, beachhead market definition, competition analysis, market potential analysis, price testing B. Lean market testing approaches in the doing C. Defining the core and the value proposition

This course unit provides the following learning content: A: Methodological analysis of different business models in the digital world B: Preparation of a pitch deck aligned to the relevant target group (funding agency, investor, competition,…) C: Development of a critical Q&A catalogue for one’s own business model in preparation for an external pitch D: Pitch in front a jury with questions on the model, financing, feasibility, plausibility. Links to Styrian and national accelerator programmes, funding providers and business angels are encouraged. E: Integration of external feedback into the existing business model

This course unit provides the following learning content: A. Digital marketing strategies, branding and positioning B. Framework for marketing in a digital world: multichannel marketing in the context of B2C, B2B, service and experience marketing C. Digital and analog touchpoints along the customer journey D. E-commerce and subscription models E. Digital brand storytelling F. Media campaigning: social media and performance marketing (online and social media advertising, search engine advertising, app store advertising), marketing automation and CRM G. Consumer insights: digital marketing metrics (KPIs), controlling, reporting, marketing attribution, A/B/n testing H. Trend spotting in digital marketing

This course unit provides the following learning content: A: Research Bite competence research: What entrepreneurial competences make entrepreneurs successful B: Be Visionary: Competence development in the field of innovativeness C: Be Risk-Taking: Competence development in the field of risk-taking and pro-activeness D: Stay Focused: Competence development in the field of focused work

This course unit provides the following learning content: A: Startup & Funding Lifecycle 1.) The financial purpose of a company 2.) The basics of startup funding 3.) Terms & Definitions 4.) Sources of startup funding and funding ecosystem (incl. grants) B: Financial Planning 1.) Thinking like an investor 2.) The financial plan 3.) Key metrics for startups C: Fundraising Strategy 1.) Approaching investors 2.) The art of pitching financials 3.) Investment process

A) Position of services in the classification of assets B) Potential benefits of industrial and technical services, C) Methods and instruments of service engineering as an engineering approach to the creation of hybrid (technical) products, D) Value proposition, value creation architecture and customer value, E) Service Level Agreement, F) Types of industrial/technical services, G) Roadmap for a service strategy, H) Existing service categories, I) Technologies for services and qualifications for service professions.

This course unit provides the following learning content: …Independent and transdisciplinary application of engineering methods and approaches of service engineering to (one’s own) business ideas/models. …Modelling of hybrid products and service components using technical tools, …Preparation of sound requirements specifications, …Practical implementation, testing and critical evaluation (of technical modules) of digital services.

A.) Introduction: General topics and tasks of data science: – Challenges and opportunities of Big Data – Terminology (data science, artificial intelligence, machine learning, …) – Basic tasks and learning types, basic data science strategies – Data science process, data sources, bias – Modelling, simulation, optimisation and prediction B.) Basic data science tools: – Presentation of common tools and their applications – Introduction to programming in Python – Data science relevant packages for Python (e.g. numpy, matplotlib, scikit-learn) C.) Introduction to selected methods of machine learning, for example: – k-means clustering – Neighbourhood methods – Naïve Bayes classification – Decision and classification trees – Neural networks – …

This project guides the students through the data science process using a concrete example. Students implement at least one of the discussed methods, exploring the method in depth.

This course unit provides the following learning content: A. Healthy Work as an Entrepreneur B. Physical Fitness & Nutrition 1. Nutrition 2. Exercise/Sport C. Mental Health 1. Psychological risks in the dynamic startup context 2. Burnout prevention and stress coping strategies 3. Dealing with entrepreneurial uncertainty 4. Work/life balance 5. Reflection as a management tool D. Incorporating corporate health promotion in startups

This course unit provides the following learning content: A. Current leadership models with a focus on agile leadership B. Team structure in dynamic growth phases C. Organisational development D. New Work E. Fundamentals of change processes 1. Models of change management 2. 10 fields of action in change management 3. Phases and steps in the transformation journey 4. Practical examples

This course unit provides the following learning content: – Legal framework for startups such as: – Establishment of a company; – Manager liability; – Business licence; – IP (copyright, trademarks, patents); – International assertion of rights; – Licencing; – Labour and social law; – Insolvency law.

This course unit provides the following learning content: – Overview of evaluation and simulation options – Monte Carlo simulation of the business plan – Fundamentals of agent-based modelling and simulation – Fundamentals of Bayesian methods – Fundamentals of time-series analysis – …

This course unit provides the following learning content: A: Defining Impact & Inclusion 1.) The dimensions of (entrepreneurial) impact 2.) Why purpose matters 3.) From an investor’s POV B: Diversity & Inclusion 1.) The dimensions of diversity 2.) Crunching the numbers: Diversity in the startup landscape C: Impact Measurement 1.) Approaches to measuring impact 2.) Impact as purpose vs metric

Presentation and defence of the master’s thesis; sitting partial examinations on important contents relevant to the curriculum; the commissional examination is conducted in accordance to the requirements for final examinations in FH master’s degree programmes pursuant to the FHG as amended.

This course unit provides the following learning content: – Carrying out a research project independently – Writing a scientific Master’s thesis independently – Presenting and defending the Master’s thesis – Oral examination on curricular content

This course unit provides the following learning content: – Scientific research methods (qualitative, quantitative) – Science ethics -Reflection on sources – Correct citation style – Handling of feedback.

This course unit provides the following learning content: A. Scaling of Digital Business Models B. Growth Strategies – Internationalisation – Product extensions/innovations – New customer segments C. Growth Hacking