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  MSc Data Science for Society and Business (Online)


Online Constructor University    Postgraduate Courses

Full time September MSc 2 Years
Business & Management (5) Computer Science (8)

FindAMasters summary

Embark on a transformative journey with the MSc Data Science for Society and Business (Online) programme at Constructor University. This innovative 2-year online master's programme is designed to equip you with the essential skills to tackle pressing social and business challenges using cutting-edge data science tools and methods. Delve into diverse topics such as innovation diffusion, sustainable growth, and political mobilization while honing your expertise in data analytics and modelling approaches. The programme's online teaching approach ensures a dynamic learning experience through a blend of asynchronous lectures, synchronous tutorials, and hands-on sessions. You will have access to a wealth of course materials on the Learning Management Software platform, fostering a collaborative and interactive learning environment. Admission to this prestigious programme is highly competitive, focusing on candidates' university achievements, recommendations, and self-presentation. If you have a background in social sciences or a quantitative orientation, and aspire to become a data scientist in interdisciplinary research fields, this programme is tailored for you. Join us at Constructor University and unlock your potential in the dynamic field of data science.

About the course

The aim of this 2-year Data Science for Society and Business (DSSB) (online) MSc program is two-fold. On the one hand, it aims to use rapidly growing digital data resources and new computational tools and methods to describe, model, predict, and potentially solve pressing business, ecological, economic, organizational, political, or other social problems and significant trends like innovation diffusion, migration flows, susceptibility to infections, sustainable growth, political mobilization, and the likes. On the other hand, the program addresses the rising demand for social data science expertise and critical skills in new industries (i.e., social media, start-ups), in established sectors (i.e., production, civil and private services), typical job specifications (i.e., consulting, market research, marketing), public administration (i.e., health, security), and academia (all sciences).

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Entry Requirements

Admission is based on the candidate’s university achievements, recommendations, and self-presentation.


Fees

€ 5,000 per academic year

 Course Content

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