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University of Konstanz

Konstanz

Social & Economic Data Science

Subjects: Economics;Data Science;Social Studies

M.Sc. | Master of Science

⏳  Duration
4 Semesters
🔠 Teaching Language
English
💶  Application Fee non-EU
No information

💶  Cost per Semester ? Separate from the tuition fees, the cost per semester refers to another fee students pay each semester, covering registration fees, administrative costs, and often a public transport ticket.
179 EUR

💶  Tuition Fees per Semester
1,500 EUR
⏱️ Application Deadline Summer
No information

⏱️ Application Deadline Winter
30.04.

Course description

The digitalization of various domains of society has produced an abundance of data about human behavior and social interactions. Specialists with a solid background in computer science, statistics, and social science methods are needed to extract value from these data to inform decision-making. The interdisciplinary Master's programme in Social and Economic Data Science provides the knowledge and skills necessary to collect, manage, and analyze diverse data sources created from administrative processes, network logs, social media, surveys, or experiments. The MSc in Social and Economic Data Science emphasizes foundational issues, including problems of measurement, representation, and causal inference, which are often overlooked in current big data analytics. This program is tailored for students with a BA degree in the behavioral and social sciences and a proven interest in quantitative and computational methods. The modular structure of the programme covers the methodological, mathematical, computational, and statistical foundation of data science, advanced computational and statistical methods, programming and scripting, and applications to questions of crucial interest in economics, political science, psychology, and sociology. The departments involved offer many opportunities for student exchanges, internships, and collaborations with ongoing research projects. The programme's broad methodological and substantive scope prepares students for a rapidly growing job market for data scientists in industry, government, NGOs, and academia

Program Information

Study Location Konstanz
Start Semester Winter
Study Form Full-time
Study Type Postgraduate
Teaching Language English
Dual No
Remote No
Application Fee non-EU No information
Study Length 4 Semesters
Tuition Fees per Semester 1,500 EUR
Cost per Semester 179 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
No information
⏱️ Application Start Winter
01.04.

⏱️ Application Deadline Winter
30.04.

Application Requirements

Language Requirements

CEFR C
IELTS 6.5
Cambridge (CAE) No information
TOEFL IBT 92

Cambridge Certificate of Proficiency: minimum grade C IELTS (academic version): minimum grade 6.5 TOEFL: minimum grade 92 (internet-based points) in individual cases, an equivalent test checked and recognized by the corresponding Examination Board

Qualification Requirements

An above average Bachelor's degree, at least corresponding to the German grade 2,5 (good) in one of the following subjects: Economics Political Science Sociology Psychology or a related degree

Document Requirements

Scanned PDF academic transcript outlining your grades obtained from at least three courses from at least two focus areas. Please specifically mark these modules. You may add official course descriptions. If the original document is not in English or German, provide an officially certified translation Degree certificate(s) (scanned PDF of originals and officially certified translations into English or German only) Scanned test sheet proving English proficiency as outlined above Full CV in English One-page statement of purpose in English Letters of recommendation on letter-head paper and signed must be sent by the referees to seds.msc@uni-konstanz.de separately as PDF-files in English or German If applicable, scanned PDF of original GRE score sheet Applicants from India, China, Mongolia and Vietnam: please attach the scanned original certificate by the Academic Evaluation Centre (Akademische Prüfstelle - APS) of the respective embassies in New Dehli, Beijing, Ulan Bator or Hanoi

Application Process

Acceptance Interview No
Acceptance local admission restrictions Restricted
Application directly at the University
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