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Design informatics merges data science with design thinking through critical analysis to develop innovative, meaningful data-powered solutions, products, and services.
At its core, design informatics treats data as a design medium: how we manipulate data directly influences our environment. Data science lays the technical foundation, while design thinking fosters reflective, research-driven creation.
Our curriculum equips students with core competencies bridging design thinking and data science, particularly examining data technologies' societal impact and their potential for public benefit. Through theoretical study and hands-on experimentation, students cultivate an ethically grounded, critically aware practice at the data-society intersection.
The program delivers essential and advanced training in:
Core data science principles and their application in design
User research techniques, participatory design, and speculative approaches
Coding for data visualization, tangible data representation, and interactive systems
Ethical data practices in research and professional work
You'll explore data technology applications across diverse fields including:
Global challenges and sustainability targets
Healthcare systems
Creative industries
Financial services
Smart urban environments
Career prospects
This qualification positions you at the forefront of data science, design, and IT convergence.
Graduates access diverse opportunities with corporations, nonprofits, and government agencies. Entrepreneurial initiatives are actively supported.
For research-oriented students, the program provides strong preparation for doctoral studies in related disciplines.