Social Data Science

Description The programme combines state-of-the-art data science techniques, including machine learning, predictive analytics and natural language processing with core sociological, economic, anthropological, political science and psychological theories and methods to equip students with the competences to identify, assess and solve societal and business problems in the digital age. If you wish to achieve advanced training in a rapidly evolving interdisciplinary field, consider this programme. You will gain expertise in analysing large amounts of unstructured data (commonly known as ‘big data’) using social science research methods. The curriculum seamlessly integrates cutting-edge computer science techniques, including machine learning and predictive analytics, with essential social science theories Read more about the programme structure . Career Opportunities As a graduate, you will be able to Independently design, handle and analyse complex and large data sets comprising various data about behaviour, networks and/or ideas, including personal data, data and metadata from a variety of sources, in order to contribute with new and original knowledge to solve societal and business problems. Understand and observe legislation concerning data (including GDPR and IPR), and observe and develop rules and protocols – and ethical principles – for the collection, storage, sharing and usage of data, including personal data. Access and evaluate data-analytical potentials and pitfalls in research, public policy or business settings. Lead and coordinate teams comprised of people from a diversity of professions who collaborate on deploying social data science to create new value and solve societal and business problems. Identify future challenges and opportunities pertaining to social data and digitalisation writ large. Admission To be admitted to the programme , you must have a bachelor degree in a relevant subject and/or including relevant courses. Please read the admission requirements. You apply directly through the online portal at the University of Copenhagen with all relevant documentation. In addition, documentation may be required verifying that your proficiency in English is at a specified level. Read about language requirements of the University of Copenhagen A list of the most commonly recognized exams and diplomas can be found at the Danish Agency for Higher Education Tuition There is a tuition fee for all full-time degree students from outside the EU, EEA or Switzerland. Read more about tuition fees at the University of Copenhagen . Students within an exchange programme are not required to pay tuition. Further Information Follow us on Facebook Information from the Danish Agency for Higher Education can be located at http://ufm.dk/en You will find information about the Danish assessment of foreign qualifications in Guide to diploma recognition About the Educational System in general visit the section The Danish Higher Education System