Course content
Purpose
The focus of the minor is on Data Analytics in general and strategic, innovative, collaborative, communicative, analytical, governance and regulatory aspects of data usage in business settings. As such, the minor is interdisciplinary with topics drawn from digital economy, computational social science, innovation, communication, governance, regulation, and business analytics. The minor consists of the three courses described below.
Content
The minor consists of 3 courses:
Big Data Analytics
This course is designed to provide knowledge of key concepts, methods, techniques, and tools of big data analytics from a business perspective. Course contents will cover issues in and aspects of collecting, storing, manipulating, transforming, processing, analysing, visualizing, and reporting big data in order to create business value. Course topics are listed below:
- Foundations: Concepts, Lifecycle, Challenges, Opportunities, and Exemplary Cases
- Data: Types, Structures & Tokens
- Data Mining and Machine Learning: Algorithms & Tools
- Visual Analytics: Dashboards & Tools
- Text Analytics: Classification & Clustering
- Predictive Analytics: Correlation, Regression, and Autometrics
- Computational Social Science: Social Set Analytics
- Applications: Private and Public Sectors
- Datafication: Security, Governance, Regulation, Privacy & Ethics
Datafication: Regulation, Governance, Security, Privacy and Ethics
The purpose of this course is to give the student a profound understanding of regulatory issues concerning privacy and data protection. Compliance with the EU General Data Protection Regulation is in focus as well as its background, context, and content. The course provides an introduction to fundamental legal principles with particular focus on the European Union.
The discussions may include aspects relating to privacy, big data, particular technologies, use of personal data for marketing purposes, transfer of personal data, security, and fundamental rights such as the freedom of expression. The course will to a large extent be based on sources of law such as the EU treaties, directives, regulations, and case law.
Innovation and Strategy in the Digital Economy
This course will give students an introduction to central issues of innovation and strategy in the digital economy. It forms the background for the study of data in the business context.
The growth of the digital economy is predicting a data rich future and a transformation of the business landscape with implications for existing firm, entrepreneurial ventures, and individual workers. In some of the most dynamic sectors of the modern economy, such as, apps for smartphones, video games, scientific and technical problems solving, Internet of Things, blockchain and crypto technologies, companies’ overall performance already rely on data, setting requiring a whole new set of skills and organizational capabilities.
The course will develop the conceptual foundations, frameworks and methods for analyzing the relationships between firms, crowds, and data. It introduces student to the process of digital transformation. The course gives students a systematic basis for assessing the economic potential of different sorts of data and organizational imperatives to unlocking this potential.
The first part of the course introduces business models of the digital economy.
The latter part will focus on organizing for innovation in a data rich business context. From this point of departure, the course will develop the conceptual foundations, frameworks, and methods for analyzing the relationships between innovation, strategy, and data in a digital context. The focus will be on how to manage and strategize, how existing organizations adapt to increasing digitization of business and development models.
Topics will include:
- Digital economy and innovation
- Digital business models and strategy
- Internet of Things
- The role of crowds in generating innovation and predictions.
- Crowdsourcing, collaborative innovation
- Digital platforms
- Managing organizations in a data rich future
- Data networks and markets
- Crypto technologies & blockchain
See the description of the Minor in Data in Business in the programme regulations
