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Courses and elective courses

Courses are mandatory, with the exception of the electives. Each course lasts 3 to 4 weeks and is offered within a thematic quarter.



Database Management (5EC)

This course teaches you the latest tools that are used in industry for robust data warehousing and storage, data modelling and management with a specific focus on big data. The course focuses on both NoSQL type databases such as MongoDB and distributed database frameworks such as Apache Spark and Apache Hadoop.

Business Statistics (5EC)

Geared towards people working in the Data Science & AI domain, this course teaches you descriptive & inferential statistics, hypothesis testing, ANOVA, regression analysis including multivariate regression & logistic regression, A/B testing and state-of-the-art modelling techniques in Python such as multilevel analysis & structured equation modelling.

Emerging Technology in Digital Business (5EC)

This course focuses on digital innovation and its consequences for organisations. It familiarises you with important related topics such as digital technology trends, new business models, the relationship between emerging technology and innovation, and the innovation process.

AI Methods for Business (5EC)

Would you like to understand how companies like Amazon recommend products to customers? Or maybe how major banks predict a customer’s credit score? Perhaps you are more interested in how machine learning has revolutionised marketing? In this course you will learn all of this, and more. Indeed, the course will cover the fundamentals of supervised and unsupervised machine learning and discusses a selection of the major industrial applications of these techniques.

Online Datamining (3EC)

You will learn to use tools for collecting and cleaning online data. You will develop a skill to assess the right collection strategy to be applied given a set of data mining objectives from a business. After setting up a data collection plan, you will implement the plan to collect and build the dataset. The use of tools will expose you to the opportunities and challenges of online data collection while at the same time hide the detailed complexities of data collection process. The intention is to learn you the concept of website scraping and while practicing the process you would be able to acknowledge the challenges of this process.

Digital Business Management (5EC)

This module focuses on various aspects of effective strategic management of information systems (IS) and information technologies (IT). It discusses important related subjects such as IS/IT strategy, Portfolio Management and Change Management. 

Data Presentation and Visualisation (3EC)

This course teaches you data visualisation and storytelling techniques to effectively communicate insights that had been gathered through data analysis. It focuses on acknowledgement of different types of stakeholders, and the design of visual representation of the analysis outcome in driving the direction of organisational decisions. Tableau is used as the tool for visualisation.

Business Ethics (3EC)

Technology is never neutral. What are the values behind your approach to digital business? Is your goal to optimise everything? Do you aim to increase knowledge? Increase fairness? Help work towards a sustainable future? In Business Ethics we will exercise your moral imagination: what could be the consequences of what you are doing and making? Collaboratively we will explore some important questions to always ask yourself before you start a new project.

Fintech Track: Digital Fintech Strategy and Innovations (5EC)

The application of innovative digital techniques, such as big data and artificial intelligence are fundamentally changing business models and altering the competitive landscape in the financial sector. Market entry by FinTech is challenging incumbents to respond to disruption. Based on self-collected data you will gain insight in how financial innovation is continuously challenging both entrants and incumbents to dynamically reformulate the digital business strategy in order to optimise their competitive advantage.

Fintech Track: Systems Development for Fintech (4EC)

This course will teach different quantitative tools that are used in financial risk management. The course will cover various machine learning methods that are deployed in finance risk modelling and scoring. In doing so you will be able to implement as well as evaluate financial risk management systems.

Marketing Track: Digital Marketing Strategy (5EC)

You will gain insights into the opportunities for collecting social media data and connecting it to a firms’ digital marketing strategy. The components constituting the structure of this course are in accordance with the master project: formulating a research question and sub-questions, designing a theoretical framework, collecting data, data analysis and giving advice/recommendations.

Marketing Track: Systems Development for Marketing (4EC)

This course teaches you to understand the components of recommender systems, content and collaborative filtering engines and guides you in building your own recommendation system. In doing so you will be able to implement as well as evaluate recommender systems.

Leadership / Professional Development Programme (Q1-Q4)

You will do an analysis and reflection on your 21st century skills, such as critical thinking, creativity, problem solving, adaptability, collaboration, communication, technical skills and information management. With a personal coach you will learn how to reflect on your ambitions, learning goals and the necessary activities/actions you need for your personal growth as a (digital driven) professional.