Data Science for Society and Business
Job Description
The program
This study program belongs to the School of Business, Social & Decision Sciences
Location: On Campus
The 2-year master program Data Science for Society and Business (DSSB) is a highly selective program for students of business and social sciences aiming to become data science experts. The program is also of high interest to students with backgrounds in health and environmental sciences aiming to expand into big data analytics, data-driven and computational social science, based on their strong quantitative background.
During two exciting years, graduates gain cutting edge competences, tools and methods to discuss, model, predict and solve the pressing challenges of digital societies, modern organizations and competitive businesses.
The truly multidisciplinary program combines a broad course offering from multiple social and data science disciplines with 3 elective tracks to allow for individual diversity and further specialization. With a focus on high employability, DSSB graduates are best prepared for quickly growing, global professional and academic career options resulting from digitization.
5 Reasons to join this program
- Unique interdisciplinary modular program with elective tracks for individual diversity and specialization that promotes personalized career goals.
- A cutting-edge demanding academic program with access to innovative research, a close relation between teachers and students, shared learning experience and innovative learning environments.
- Maximum focus on employability and preparation for the demands of global career paths in all areas of data-driven professional and academic fields.
- A graduation rate of 90% reflects the university’s high academic standards and the intense support level with in small classes with favorable student-to-teacher ratios.
- Benefit from Constructor University’s direct access to the leading digital and tech companies, consulting firms, NGOs and top research institutes as well as a large global Alumni network.
Program overview
The master program Data Science for Society and Business study program teaches international students with strong backgrounds in social sciences (e.g. business, economics, demography, media studies, political science, psychology, sociology,) how to make use of rapidly growing digital data resources and new computational tools and methods to potentially solve the challenging interdisciplinary problems in their professional or academic field.
The program may also be interesting for students with a background in humanities, natural or technical science who want to focus on innovative social data analytics and pressing social and business questions emerging from digitization.
Students of the DSSB program thereby benefit from a broad course offering in various social, data and business sciences and the close cooperation with computer sciences, environmental and life sciences.
At the end of the 2-year program DSSB graduates will have expertise in digital contents and data science skills to responsibly and capably solve core problems in future organizations and digital societies.
- They can identify, analyze, interpret and critically access the social causes and consequences of digital transformation of societies in all of its legal and ethical implications and aspects
- They are able to apply cutting-edge analytical and quantitative skills to correctly model and interpret scientific results, to make valid predictions and to derive thoughtful conclusions and interventions for pressing social and business problems
- Students have learned to manage big data, develop statistical models and convincingly present them to a science and non-science audience by applying plausible writing, communication and presentation techniques and visualization tools
- They will be able to program well in at least one computer language and know about state-of-the-art computational and software tools
