International Program in Survey and Data Science (IPSDS) is a modular educational program that permits you to shape your curriculum according to your personal and professional needs. You can take courses from anywhere in the world as IPSDS is based on a flexible, online learning environment. IPSDS courses are held by world-class faculty from leading universities and organizations. In live online sessions they will share their academic and practical experience and insights with you. You will get to interact and network with faculty, industry leaders, and peers during our onsite-workshops.
IPSDS offers a multidisciplinary curriculum with a focus on survey methodology and data science that prepares you for the challenges of working with designed data from surveys and big data. IPSDS aims to equip you with the necessary tools to face these data and to work successfully in this new environment. In addition to the core courses a number of electives allow you to deepen your knowledge and specialize in survey methodology, statistics or data science.
IPSDS is an online program accesible from anywhere in the world. Thus, students can adapt their studies to their professional and personal responsibilities and combine profession, studies and family.
Small Classes: around 15 participants
Engagement: weekly online meetings & required readings
Since 2021, EUROSTAT certified the Mannheim Master of Applied Data Science, offered within the International Program in Survey and Data Science (IPSDS), as European Master in Official Statistics (EMOS).
Admission for the Master's Program is currently closed but if you interested in specific contents, you can take one of our single courses through the University of Maryland. To apply for a single course, click on "Apply through UMD" on the corresponding course page. Your request will open automatically as an e-mail. You will then be contacted for the further process of application. If the e-mail does not open automatically, please send your request for information on how to apply (incl. course title) directly to jodywill@umd.edu.