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BSc in Business Administration and Digital Management
About the programme
Doing business in a digital age
Digital innovation, new technologies and advanced ways of working with data shape and change virtually all aspects of how companies and other organisations do business. Digital information, including “big data”, creates new ways for companies to develop their activities and strategies. Social media and new communication platforms require companies to find new ways of managing communication internally as well as their relations with partners and customers. Planning, development, administration, and production are increasingly optimised through digital systems. In addition, organisations and the people who work within them must adapt to new ways of working, thinking and managing.
Understanding digital strategies as part of business strategies
To manage this digital complexity businesses need specialists who not only understand digital innovation, data and technologies, but also the strategic goals organisations set and the business conditions and market challenges they face. This expertise is what BSc DM aims to help you develop. It does not focus on technology as such, but rather on the interactions and interrelations between technology, data, business and society. It is not so much about understanding specific IT systems or solutions as understanding how digital transformations and data-driven approaches open new ways of working and at the same time pose new challenges.
Traditionally, digital technologies are seen as “add-ons”. BSc DM instead sees digital transformations as something a modern company must integrate as part of everything it does. In particular, future managers and leaders will need to take responsibility for digital developments, rather than rely on consultants or their IT department.
A digital approach or plan is not something you add to an existing business model or plan – the two should go hand in hand through the whole development process. Or to put it simply: Today, a professional business mindset also needs to be a digital mindset.
A highly integrated approach to working with digitalisation
BSc DM comprises three main areas of study: business administration, digital technologies and data, and sociological and organisational perspectives. Most of the courses combine and integrate elements from two or all three areas – and in some way, perspectives on digitalisation will be part of every single course.
In these integrated courses, you will work with traditional business topics such as finance, accounting, statistics, innovation, strategy and organisation. You will learn how to make sense of complex data, work with data analysis – how you collect, organise and gain insights – and how to create valuable knowledge as a foundation for making qualified business decisions. You will also work with the many different options that are available to companies, and get an understanding of challenging and critical issues, such as data protection, privacy, ethics and responsibility. In addition, you will work with understanding digital transformations not only from the perspective of the individual company but also in terms of how they impact on a societal and global level.
Understanding these topics – and especially how they relate to and affect each other – will make you master a range of analytical methods that enable you to understand complexities, work in a structured fashion and develop effective digital business solutions.
Hear students share insights about BSc DM
Hear students at BSc DM share some experiences and their thoughts about the programme.
- digitalisation and how technology affects people and organisations.
- how technology is developing.
- how companies adapt to change.
- working in an analytical way. Figuring out which questions are important for a company to ask in a given situation – and figuring out how to arrive at the answers to those questions
- the world around you in general and social and cultural trends affected by technology and digitalisation in particular
Why students chose BSc DM
Students at CBS come from all over the world, and all have different backgrounds. Hear students at BSc DM share their background, and why they chose to apply for the programme
BSc DM has some particular challenges that are important to think about before you choose the programme. How well do these challenges correspond to the sort of person you are, how you like to work and the things you are good at?
Working analytically
For many students the biggest challenge of BSc DM will be learning to work in a very analytical way where the discussion of how you can best arrive at results is just as important as the results themselves. This is something that you need to be comfortable with.
Interdisciplinary courses
All of the courses are highly interdisciplinary and integrated. This can be challenging because it means that you need to think in a complex way where you juggle business and technology topics at the same time.
Also, it means that it takes time before you fully understand how the different courses and topics relate to one another. Often it will not be until the second or third year that everything comes together in your head and you get a clear picture of all the aspects of the programme’s scope.
Maths as a tool
In about a third of the mandatory courses in BSc DM you will use maths as a tool. You will not use maths that is complicated beyond the entry requirement for the programme, but you need to be comfortable having courses where you use maths and do calculations at a practical level.
Studying in English
If you are not used to studying in English or if you are not a native speaker, we recommend that you read more about what to consider before applying for an English-taught programme. See Studying in English on Student Life
Focus on collaboration from the first semester
BSc DM has focus on creating a good study environment from the beginning. On the first semester the exams are pass/fail and with focus on feedback. This will encourage students to engage more in discussing the course content and finding answers together. More collaboration and engagement will increase the time and space for learning and settling down as a new student.
Hear a student guidance councellor share some challenges and considerations you should be aware of before applying to BSc DM.
- an understanding of business combined in combination with digital technologies, strategies and business applications
- analytical tools for developing cutting edge digital business solutions
Find more information about what you learn in the programme in the Competence profile for DM.
Master's programmes after BSc DM
The clear majority of students from BSc DM continue on a two-years master’s programme for a total of five years of study. Many continue on their natural progression, which is the master’s programme which academically builds upon your bachelor studies.
It is very much the master’s rather than the bachelor programme that determines which career paths that lay open to you. Learn more about master's programmes and the natural progression here.
Hear a student guidance counsellor give insights to how you can create your own profile as well as share thoughts on career options and master's programmes.
English - language requirement | A |
English - specific entry requirement | B with min. 6.0 grade average (Danish scale) |
Mathematics | B |
Social Studies OR International Economics OR History of Ideas OR Contemporary History |
B |
Motivational essay | Yes - see Selection quotas |
Read about entry requirements and how to apply at bachelor admission.
Grade point average | 9.6 |
Number of enrolled students | 176 |
Quota 1 / Quota 2 | 60% / 40% |
Applicants (quota 2) | 1701 (1556) |
Foreign students | 55% |
Gender distribution - men / women | 60% / 40% |
Average age | 21.4 year |
Overview of courses
Managing Innovation in Organisations
The purpose of the course is to introduce students to the foundations of innovation theory, located at the intersection of technology, organization and marketing issues. Building on this foundation, the course will also address the ‘future’ of innovation theory and practice, specifically exploring the role of new technologies in enabling new forms of innovation organizing. In addressing these issues, students are invited to reflect on the ambiguity and uncertainty that necessarily surrounds development and introduction of innovations, and on the ethical dilemmas thus brought about.
Through the course, we will progress from basic understandings of the societal role of innovation via questions of innovation strategy to the micro-level dynamics of how innovation both shapes and is shaped by organizations. The course aims to provide a repertoire of concepts and theoretical understandings allowing the student to conceptualize innovation-related issues and to reflect on these in a theoretically informed manner. Ideas covered are drawn from economic history, organization theory, innovation economics and marketing theory and include:
- Creative Destruction
- The Productivity Dilemma
- Exploration and exploitation
- Technology s-curves, technology cycles, technology interdependence
- Different forms of innovation, including disruptive innovation, foundational technologies and architectural innovation
- Different forms of ambidexterity
- Diffusion of innovations, especially within high-tech
- First-mover advantage and disadvantage
- Product category emergence
- User innovation
- Crowdsourcing
- Substitution, complementarities and economic adjustment
The course also aims to strengthen the students’ ability to express these ideas in oral and especially written form, and trains the ability to engage with ideas expressed in various scholarly and applied forms. This will be done through dedicated lessons on writing technique and practice, in-class discussion and take-home exercises. An inherent part of this is the ability to both account for and critique theoretical positions and their practical implications.
Learning Objectives
- Identify issues related to the management of innovation and technology in organizations
- Select and accurately apply relevant theory (within, but necessarily limited to, the course curriculum) to conceptualize, analyze and discuss practical issues, arguments and perspectives on innovation and technology in theoretically informed ways
- Reflect on the opportunities and challenges posed by innovation and technologies to organizations and society
- Do the above in correct, clear, concise and coherent written form
ECTS
7.5
Business Data Analytics, Quantitative Methods and Visualisation
This course is designed to equip students with practical knowledge of tools and techniques for the exploration, analysis and visualization of data in business. It also deals with conceptual, societal and ethical issues associated with these techniques. Thus it addresses several key aspects of the Nordic Nine -- especially under Knowledge ("analytical with data and curious about ambiguity") and under Values ("understand ethical dilemmas and have the leadership values to overcome them").
The course has a blended format, with some online activities, including quizzes and online discussion groups. In addition, there will be regular hands-on lab sessions. The course includes an independently chosen project, which will take the form of a business case analysis. Students will select a dataset, to which they apply data science techniques, building relevant models and assessing them from a business and data science perspective.
The course will cover the following main topic areas:
- Basic techniques for analysis of structured data, including use of query languages
- Basic machine learning tools and techniques, including classification and regression, as well as unsupervised methods such as clustering
- Techniques for visualization and presentation of the results of data analysis
- Conceptual, societal and ethical issues with business data analytics
Students are expected to work with large language models and other forms of
generative AI in exercises, assignments, and exams. As with any other software, it should be clearly stated how the AI models are used in the performance of a given exercise, assignment, or exam.
Learning Objectives
- Understand and deploy techniques for exploring and analyzing structured data
- Understand and deploy basic machine learning techniques for classification and regression
- Understand and deploy techniques for visualizing and presenting results of data analytics
- Demonstrate an analytical understanding of business, societal, and ethical issues in the application of data analysis techniques
ECTS
7.5
Financial Accounting and Reporting and its Digital Context
The course includes the following sessions which aim at laying the foundation for a solid understanding of financial accounting and reporting practices:
Purpose/function of accounting, presentation of financial statements
Double-entry bookkeeping technique
Accrual accounting
Ethics and internal control, cash and receivables
Inventory and merchandizing operations
PPE and intangibles
Current and long-term liabilities
Equity and investments
Cash flow statement
Financial statement analysis and XBRL reporting
Throughout the different sessions, students acquire general business knowledge by analyzing financial statements of internationally operating companies with different backgrounds (service and product companies from different countries) with the aim of assessing the firm’s financial position and performance in light of the broader economic context.
The tasks of analysing financial data and assessing whether certain accounting regulations and practices meet the (intended) purpose of financial accounting aim at stimulating students’ curiosity about ambiguities in accounting and at helping students to develop a high degree of analytical and critical thinking.
Constructive collaboration is encouraged by group tasks.
Learning Objectives
After having completed the course students should be able to:
- Explain the purpose of financial accounting and reporting and critically assess whether current accounting regulations and practices meet such purposes
- Explain the difference between cash and accrual accounting
- Apply the double-entry-bookkeeping method to prepare financial statements based on accounting transactions
- Find, analyze and interpret specific information in financial statements of firms using either IFRS or U.S. GAAP
- Define ethical dilemmas in accounting and their consequences and identify situations in which unethical behavior is (more/less) likely to occur
- Identify areas in financial accounting and reporting that are affected by digital technologies and describe the effects of digitalization on accounting
ECTS
7.5
Information Management in Organisations
With the rise of the internet and digitalization, practices of managing information in organizations are in a stage of transition away from the conventional paradigm of retrieving information stored in silos towards a new paradigm based on digital networking and information construction. The course embarks upon a journey to trace this transition by, first, discussing conventional practices (e.g. records management, taxonomies) and the changes these practices are going through due to digitalization. It is against this backdrop that the course will then continue to discuss new practices of information management (e.g. wikis, blockchain) as well as the implications of these practices on economic ventures, organized collaboration and many other domains of social interaction. In order to learn how to apply these practices in real-life contexts, the students will have to work with a real organization of their choosing, identify a real problem in that organization, and design a solution in the form of a business case.
The course subscribes to CBS’ Nordic Nine strategy, as it teaches students to move beyond mere operational issues and consider the wider strategic, societal, and ecological context. Students also learn to appreciate ambiguity and complexity by learning basic principles of systemic thinking and to address ethical considerations as responsible information managers. Finally, the classes focus on group work and class discussion, and on providing constructive feedback between students, which invites them to constantly re-evaluate their thinking and elaborate on their arguments.
Learning Objectives
- Explain core practices of information management in organizations
- Resolve real-life organizational problems of information management
- Apply theoretical concepts and design principles of information management to real-life cases
- Evaluate the strategic, societal, or ecological implications of information management practices
- Critically reflect on the ethical responsibilities of information management
ECTS
7.5
Electives / Exchange / Internship (30 ECTS)
In the 5th semester, you can take electives at CBS or other universities, go on exchange or do an internship in a company.
Managing Communication, Marketing and Relations
In this course, students will be introduced to key theories and discussions in communications, media and marketing studies in order to gain conceptual and analytical tools that can help unpack the role of digital media and data in communication, marketing and business-society relations.
In order to grasp the role of digital media and data, including their opportunities and challenges for different societal actors, the course examines these in relation to technological affordances, practices and wider societal power structures.
The course consists of a combination of lectures and seminars.
Learning Objectives
- Theories and approaches to the management of communication, marketing and relations.
- Select relevant theory for the conceptualisation and analysis of the logics and practices of digital media and data in communication, marketing and business-society relations.
- Discuss and critically reflect on organisational and societal opportunities and challenges in relation to the role of digital media and data in communication, marketing and business-society relations. Reflect on opportunities and challenges in relation to the role of digital media and data to communication, marketing and business-society relations
ECTS
15
Digital Technologies and Data-Driven Business
Aim of the course
The course Digital Technologies and Data-Driven Business constitutes a core foundation course that provides the necessary understanding of digital technologies and the role of data in 21st century businesses and organizations. The course is an introductory level course.
Course content
The growing phenomenon of digitalization brings about profound changes in society and in businesses. Digital technologies and the explosion of data are transforming virtually every aspect of how industries evolve, how businesses deliver value, and how consumers behave.
This course investigates the link between the capabilities of digital technologies and the activities and objectives of business organizations. In the course, we examine the technological foundations (systems, software, and databases) of business organizations, and investigate how the capabilities and limitations of digital technologies shape opportunities for business value creation for organizations, entire industries, and society at large. To this effect, we focus on how to develop data-driven solutions in business, by providing skills of extracting value from data through data programming and data analytics.
Learning Objectives
- Explain the functionality and role of digital technology in business organizations
- Apply basic concepts and practices of data-driven analytics for managerial purposes
- Evaluate the use of digital technologies and data for managing business organizations
- Critically reflect on the impact of digital technology and data on contemporary business and society
ECTS
15
Economics in the Digital Age
This course provides an introduction to the principles of microeconomics, focusing on how individuals, households, and firms make decisions in a world of limited resources. The course emphasizes the application of economic theory to real-world issues, providing a solid foundation for understanding how individuals and firms make decisions, interact in markets, and respond to policy changes. Topics include the analysis of various market structures (perfect competition, monopoly, and oligopoly), the role of government in addressing market failures, and the impact of government policies on markets. Additionally, the course covers issues such externalities and public goods, with an emphasis on understanding economic decision-making and the trade-offs that arise in everyday life. The models and concepts explored in this course can also be applied to understand the economic impacts of digitalization, including its effects on markets, business strategies, and consumer behavior. By the end of the course, students will gain a clear understanding of how economic forces shape the choices of individuals and society in both traditional and digital economies.
Learning Objectives
At the end of the course, the student should be able to: 1. Understand Key Economic Concepts: Build a solid foundation in fundamental microeconomic principles, including supply and demand, market equilibrium, elasticity, and the behavior of consumers and firms. 2. Analyze Market Structures: Explore various market structures—such as perfect competition, monopoly, and oligopoly—and understand their impact on pricing, output, and efficiency across different industries. 3. Apply Economic Theory to Real-World Issues and Policy: Utilize economic models and concepts to analyze real-world issues, including government policies, externalities, and the effects of digitalization on markets and business practices. Critically assess the welfare implications to form well-founded recommendations. 4: Critically Evaluate Economic Analysis, Including AI-Generated Outputs: Develop the ability to assess economic outputs, including those generated by AI, by identifying potential flaws in model assumptions, data quality, and logical reasoning.
ECTS
7.5
Corporate Finance
This is an introductory course in finance focusing on corporate applications in the international environment. It covers the basic theories of interest rates, valuation of streams of cash flows, and pricing of risk, and it draws practical implications for capital structure, project valuation, financing, and risk management.
More specifically, the course contains a basic introduction to topics such as:
- The main characteristics of corporations
- The relationship between accounting information and the information analyzed in corporate finance
- Interest rates and the time value of money
- The valuation of bonds and stocks
- The investment decision
- The financing decision including capital structure theory and the cost of capital
- Payout policy
- International financial management and capital budgeting
- Financial and real options
- Risk management
Learning Objectives
- Identify, explain, discuss and apply the core concepts, models and methods
- Calculate, interpret and compare financial statistics, prices, returns and costs
- Elaborate, present and discuss solutions for financial decision problems
ECTS
7.5
Knowledge, Leadership, and Change Management
This course prepares students for careers as effective managers by exploring the key practical and conceptual tasks and challenges facing knowledge workers and knowledge work. These challenges include organizing work as a series of diverse and challenging projects; managing project portfolios; negotiating work tasks with experts, professionals, and knowledge workers; maintaining integration in very diverse workplaces; and grappling with uncertainty and change. The course stresses that in such contexts, the strategic, organisational and cultural aspects of management practice always intersect and overlap. At the same time, the course explores several theories that link these dynamics together.
The course further pursues the notion that management practices rooted in industrial regimes of production increasingly have been superseded in many instances by new management practices that foreground leadership, culture and the regulation of identity. The course therefore includes discussion of those aspects of organisational life that are often marginalised in standard texts, including the politics and complexities of managerial decision-making, the roles played by ordinary human interaction, and relationships in organizational settings.
Learning Objectives
- Understand, apply and reflect upon the concept of knowledge work
- Understanding the nature of complexity in work organisation
- Understand, apply and reflect upon the concepts of project and project management
- Understand and reflect upon the role of leadership in complex work and knowledge work
- Understand and reflect upon the role of interaction and relationship in complex work and knowledge work
ECTS
7.5
Bachelor Project
The Bachelor Project concludes the undergraduate programme. The objectives of the Bachelor Project are a continuation of the overall DM programme.
In the Bachelor Project students have an opportunity to explore an issue of interest within an interdisciplinary framework.
Students should build on knowledge already acquired during the programme, formulate a research question within the framework of the DM programme and, if possible, choose their research question in collaboration with an organisation. The research question may benefit from problems and issues experienced during students’ internship, if the student has participated in an internship programme.
At the beginning of the semester, the course coordinator hosts a workshop. It is intended to help you critically reflect upon the structure and content of your project, allow you to practice presenting the main ideas of your project to an audience talking about methodological, theoretical and analytical matters in a coherent way. You are expected to participate in the workshop.
Students can find further information about writing a Bachelor Project here my.cbs.dk => Bachelor Project.
Learning Objectives
- Formulate, delimit and analyze a problem within the framework of the DM program
- Select and adapt theories relevant to the problem and the analysis
- Demonstrate a deep understanding of the theories and methods relevant to the project
- Substantiate the chosen methodology, including philosophy of science and research design
- Ensure a logical coherence between research question, analysis and conclusion
- Structure and present the material in a clearly formulated and accessible form in terms of both language and content
ECTS
15
Regulation and Governance of Digital Business
The course offers an introduction to the most significant issues about the regulation and governance of digital business. It provides an encompassing and overall view about key aspects that regulate and govern the context in which businesses develop digital solutions and the context in which digital-based new business models operate. In so doing, the course develops the analytical skills of the students in terms of understanding, describing, and explaining the relevance of these different aspects of regulation and governance of digital matters, as an essential context for digital business management. The course will also put particular attention to the legal and ethical responsibility of digital business, which are interrelated but also distinct issues. The course will deal, among others, with issues like: data privacy regulations and compliance, digital business and intellectual property rights, network neutrality and digital infrastructure, public and private dimensions of cybersecurity, and ethics and responsibility in the digital era.
Learning Objectives
After completing the course the students should be able to:
- Develop deep knowledge and understanding about the relevance of regulatory and governance frameworks in the context of digital business.
- Compare, evaluate and discuss the different situations (potentially ambiguous and complex) in which business might find itself in relation to the regulation and governance of digital matters.
- Discuss and reflect critically about business opportunities and challenges offered by developments in the regulation and governance of digital matters in local and global contexts.
- Understand and reflect about the ethical values, ethical dilemmas and corporate social responsibility in the leadership of digital business.
- Develop collaborative skills, learning to give and take constructive criticism, and to engage in teamwork with others.
ECTS
7.5
Qualitative and Quantitative Methods
This course teaches students to (1) understand and critically evaluate dominant philosophies of science and methodologies that undergird scientific knowledge creation in the social sciences and (2) competently use a broad selection of qualitative and quantitative social science research methods.
The course is divided into three overlapping phases: First, students are introduced to central concepts (induction, deduction, verification, falsification, ontology, epistemology, etc.) and positions (positivism, social constructivism, critical theory, etc.) in the philosophy of science. In addition to learning about theories of what constitutes science, students will get practical training in identifying researchable problems and formulating concise research questions. Second, students will learn about and be taught to use a range of qualitative methods. In the final stretch of the course, students will be introduced and trained to use a wide variety of quantitative methods foundational to social science research.
Through active participation in the course, students will learn to competently perform social science research. This entails designing a research project of the size and scope required for a Bachelor thesis at CBS. It moreover entails gaining an in-depth understanding of and developing the ability to critically reflect on the conventions of the methodological decisions taken in and possible ethical dilemmas associated with said research project. Finally, students will learn to communicate their research practice and process orally and in writing. The knowledge gained and competencies developed in the course will not only help students in their studies at the university but prepare them for a labour market where they must account for their approach (method) to problem-solving.
The course will conclude with a 10 page individual home assignment. Exam guidelines and an exam paper template will be available on Canvas from the start of the course.
Learning Objectives
On completion of the course, students should be able to:
- understand and account for the philosophies of science taught in class
- explain, discuss, and apply the different qualitative and quantitative social science research methods taught in class
- compare and critically evaluate strengths and limitations of said methods
- create a comprehensive and actionable research design
- account for and reflect upon ethical dilemmas of conducting empirical research within the social sciences
ECTS
15
Globalisation, Outsourcing and Virtual Organising
The course will take its point of departure in the global organization of industries and firms and examines how this organization is affected by and affects virtual platforms and virtual teamwork. Moreover, the course will examine drivers of MNC virtual team work related to politics, economics, the Covid pandemic and especially, technological developments.
The scene will be set with introductory lectures on team work in multinational corporations (MNCs). The introductory lectures will examine MNC global organizing and strategies and explain how IT and other technological developments allow MNCs to expand and deepen the geographical scope of their activities, to configuring their value chains and value added activities across borders in new ways and to embark on very rapid global expansion paths, so called Born Global strategies. The introductory lectures will then zoom in on global virtual teams and try to understand what teams are and what the platforms are that facilitates global organization of virtual team work.
The second module of the course deals with challenges and opportunities of global team work. The challenges and opportunities are to a large extent associated with communication across geographical, professional and cultural boundaries and about issues relates to lack of trust and identity on virtual cross border and cross cultural settings. The module will take up issues relates to choice of common language, choice of communication technologies and media, perceived cultural differences and challenges of trust-building. It will be examined how diversity - cultural, professional, geographical – can be both a strength and a challenge for global team work.
The third module zooms in on management and leadership in global team work. This module examines how socalled boundary spanners can facilitate coordination of activities within and between of global virtual teams. We will also look into the construction of global communities of practice and distributed and coordinated learning processes and critically assess the limits to managing virtual organizations. This section draws on literature on organizational learning and knowledge sharing.
During the course, students will be presented to a number of cases of virtual team work in MNCs that may inspire them to choose a case for their exam synopsis. Students will get an opportunity to pitch their case ideas for the class and the faculty and get feed back. |
Learning Objectives
- Identify and analyze challenges companies and their employees are facing in globalization processes
- Demonstrate an overview of how virtual platforms and designs may facilitate globalization processes and potentially overcome the challenges individuals and companies face
- Select relevant theory to conceptualize, analyze and critically assess practices of virtual organization in a case study of an organization of own choice
- Demonstrate understanding of the characteristics of virtual organizing and virtual teamwork
- Demonstrate understanding of the role of social interaction and perceived cultural differences in global virtual work relations
- Discuss and reflect upon the use of digital technologies in global organizing of a company´s internally and externally dispersed activities
ECTS
7.5
Business Models and Value Chains in the Digital Economy
The proliferation of digital technologies has a significant impact on business models and traditional value chains. Digital platforms with international impact, such as Google, Amazon, and Facebook are building digital ecosystems challenging existing business models and value chains. The course starts by introducing the logic behind traditional business models and value chains. Then, the course explains the digital trends which lead to new value creation structures, enabled by digital platforms. Traditional value chains are being replaced and new digital business models emerge. The course also presents strategic tools for supporting traditional businesses experiencing digital transformation. Concepts, models, and economic principles that are useful in analyzing the digital business models and digital structures of value creation will be taught and applied on real-life cases. Based on the knowledge gained in the course, students will develop their own business model in groups and demonstrate its feasibility using a minimum viable product.
Learning Objectives
- Identify and describe the specific characteristics of digital business models and digital value chains
- Compare and analyze different types of digital business models
- Apply business model concepts in traditional and new emerging digital environments
- Evaluate and reflect on the challenges for traditional businesses competing in the digital arena
- Analyze the opportunities and challenges for businesses arising from digital platforms and digital ecosystems
- Develop a business model and test its feasibility using a minimum viable product
- Demonstrate the ability to effectively document and present business models
ECTS
7.5
Digital Organisation
The course is designed to provide students with analytical tools and capabilities that will allow them to critically examine how organizations function and develop insights into their idiosyncrasies. The course promotes the view that theorizing is an important organizational practice, and that knowledge of alternatives and their consequences is the key to understanding organization and organized action. Successfully turning theory into a practical resource or tool for further theorizing requires an ability to appreciate differences among the various theories. This includes furthering the ability to discuss and critically reflect upon the theories and their different – sometimes competing – assumptions, while paying due attention to their possible practical relevance and implications. This is a hands-on course that requires students' engagement. Attendance and active participation in class discussions are not only expected but also required to realize the course learning objectives successfully.
The course covers theories related to organizational structure, technology, culture, decision-making and management, among others. Digitalization and its impact on organizing is the running theme throughout the course.
Learning Objectives
- Ability to describe the organizational theories in the required course readings as well as class presentations and to discuss the strengths and weaknesses of those theories.
- Ability to illustrate ideas from organizational theories in a digital context by examples from the exam case.
- Ability to carry out critical assessment of the scope of alternative organizational theories and to compare their relevance to the exam case.
- Ability to gain new insights through a selective application of multiple theories in a critical assessment of the exam case.
ECTS
7.5
Technology and Societal Transformations
Taking an encompassing and interdisciplinary approach to the study of technological and socio-political transformations, this course brings together a range of theoretical and analytical perspectives. The course both zooms out to offer more theoretical accounts of digitalization and datafication, and zooms in on the importance of theory in empirical and strategic work.
This course focuses on questions about the intersection of technology and societal transformations and offers students an opportunity to develop, formulate and design an academic analysis based on a research question of their own choice. The course provides an overview of theoretical discussions about digital transformations and societal developments, and uses these as a starting point for developing research questions, project designs and theoretical and methodological frameworks for the study and analysis of digital transformations. The focus on linking theories to research project design and analysis means that the course opens up questions about research methods and theories of science.
Learning Objectives
- develop, formulate and design an academic analysis of the intersection of digital technology and social transformations
- develop a research question and research design for a project on digital technology and society
- argue for the relevance of the chosen theories for the focus of the paper
- use theories about digital technology and societal transformations from the course readings as a starting point for empirical research
ECTS
7.5