Ever wondered how algorithms make sense of our digital activities to determine what we see and do online? Do you want to understand how big data is affecting our daily lives and how digital literacy can empower people to navigate digital societies?

We live in an age where almost everything that we do is connected to data. Big data and datafication – the increasing transformation of multiple aspects of everyday lives into digital data, pose great opportunities but also risks for contemporary societies. This MA course address explores and creatively utilises this transformation. We place emphasis on current and future technologies and practices such as algorithms, artificial intelligence (AI), big data, blockchain, data analytics and data mining, the Internet of Things, and others. This multidisciplinary course brings together media/communication studies and computer science. It combines hands-on and applied approaches with theoretical learning and critical analysis. It will encourage collaboration, creative practice, group work and problem-based learning. You'll apply tools and technologies to your own data challenges and projects, including from your existing professional or cultural, political, social and economic environments. The course also features optional modules from a range of disciplines across the University: Media and Communication Studies, Law, Computer Science, Politics and International Relations, and Cultural Studies. You'll be introduced to the tools and approaches that can be used for the collection, analysis, management and visualisation of data, as well as to the skills needed to critically think about the ethical, cultural, social and political implications of their practice. The course combines technical skills, critical use and creative production. It directly addresses graduates who may wish to acquire a set of skills in relation to data analytics, processing and visualisation while maintaining and furthering a critical mode of enquiry into practices and trends that shape individuals, organisations and societies today. It also speaks to graduates with technical backgrounds and work experience in data-related industries who wish to develop a more critical and multidisciplinary understanding of the social, cultural, political and economic implications of data-driven societies today.

This Data Analytics for Business and Society program prepares you to give businesses a competitive advantage through the use of data analysis.

The master's degree program in Technologies and Languages of Communications aims to cultivate professionals with advanced expertise in the realms of communication and digital innovation. The Interaction Design curriculum is exclusively delivered in English.

This degree program is not only to let students understand modern economics frameworks, but also to equip them with analytical tools in economics.

The Biostatistics and Data Science (MA) program at the Medical College of Wisconsin provides a learning experience focused on solid theoretical foundation along with practical experience. Robust course offerings, active engagement in statistical consulting, and a capstone project create ample opportunities to develop essential analytical and communication skills. Consulting projects ranging from the simplest to the most complex protocols and data collection schemes allow students to get experience of working with data in the area of cancer research, cardiovascular diseases, clinical trials, genomics, big data, and machine learning. This hands-on experience will enable students to synthesize the acquired knowledge and integrate various courses they have taken. The 31-credit program can be completed in 18 months. Students will leave fully prepared to take on the challenges of careers in the pharmaceutical industry, healthcare, biomedical sciences, academics, and general data analytics.