During the programme

Design intelligent interfaces (e.g., adaptive systems, recommender systems, chatbots) using data, machine learning, and AI.

Use value-sensitive Design and collaborate closely with stakeholders considering the ethical aspects and human values within a data-driven project.

Use data and machine learning to learn about how users interact with a product, app, service, or system, and use those insights to enhance the Design of the user experience.

Organisations face data challenges and are always seeking new innovative insights. You, as a student, can offer a fresh perspective gained through the master's programme's learning tracks. During the programme, you will work in a team on a real-life project, provided by an external organisation or research group. You will apply data analysis and problem-solving skills to help organizations overcome challenges. By collaborating with professionals from various industries, you will gain practical experience and contribute to growth and innovation. You will use this project as your case study for the programme. This gives you the opportunity to develop new skills and master the learning competencies in a professional context. You will be paired with a client project coach, a skilled member of our lecturer team to help guide you through this process.

Reflect and critique how datafication affects and interacts with individuals, organizations, and society.

During the Exploration Phase, you will participate in a four-week bootcamp to level up your knowledge and skills in all five tracks. After the bootcamp, you will select a client brief and conduct exploratory research on the problem it presents with the help of resources given to you in the five learning tracks. At the end of the block, you will be able to present your unstructured research findings in a problem space presentation which challenges the original brief and shows different perspectives on the problem.

In this phase, you will define and frame your research problem by transforming your research findings into a workable problem. You will bring order to the chaos of empirical data by transforming it into actionable knowledge that reveals meaning in the observed behaviors, preferences, values, etc. gathered during the investigation phase. This understanding will allow you to recognize the opportunities and constraints that will shape the scope for developing solutions. At the end of this phase, you will deliver a definitive project brief that provides more context than the original brief, presents a final problem statement, and pinpoints possibilities and limitations that set the space for generating solutions in the next phases.

In deze fase bedenk je oplossingen voor het eerder geïdentificeerde probleem. Je zoekt inspiratie uit verschillende bronnen, schetst ideeën, wireframes en ontwikkelt low-fidelity prototypes van haalbare oplossingen. Je deelt creatieve resultaten, werkt samen met deskundigen, vormt hypothesen en ontwerpt experimenten voor ideeëntesten. Aan het eind moet je één of meer ideeën hebben om te prototypen en te testen. Tevens lever je een reflectie op het proces en een projectuitvoeringsplan voor de laatste fase.

In deze fase valideer je werkende oplossingen en bereid je het ontwerp voor op implementatie bij de opdrachtgever. Je elimineert minder geschikte oplossingen, analyseert de beste, en bepaalt de implementatiemethode. Dit gebeurt via een agile methode: bouwen/prototyping, testen/analyseren en itereren/herhalen. Je sluit af met een laatste pitch en presentatie van resultaten aan assessoren, opdrachtgever en collega's.

This full-time programme expects you to be available to engage in educational activities at the University for forty hours a week.

Students and lecturers form an active learning community in which we aim to develop strong social cohesion. You will be expected on campus for an average of three days a week, plus two days of self-study. There will be lectures, the Coding Club for extra support with coding assignments, the Writing Club for extra support with academic writing and several guest lectures. At times, you will participate in design sprints and pressure cookers, during which you work in a team on design processes.

This programme follows programmatic learning, which focuses on meaningful reflection and feedback. The primary function of assessment within programmatic assessment is to guide and stimulate your development process as a student, especially through feedback. The 5 learning tracks all relate to each other, and you will have one formative assignment per block that tests you on the learning outcomes for all 5 tracks.