Social and Economic Data Analysis – Master of Science

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Postgraduate study programme which requires a first university degree.

The Master’s Program in Social and Economic Data Analysis (SEDA) offers students from different academic backgrounds the opportunity to specialize in the collection, processing and analysis of quantitative social science data. Today’s information society is characterized by an ever-growing abundance of data from sources as diverse as administrative records, surveys or network logs. Yet, such data merely provide the “raw material of knowledge”, and it takes well-trained analysts to detect meaningful structure, and to extract relevant information from these sources. The SEDA program is tailored to meet these requirements. It brings together the expertise from various academic disciplines such as econometrics, statistics, and computer science. The program thus has a broader theoretical and methodological scope than specific Master’s programs in statistics or survey methods.

Auf einen Blick

AbschlussMaster of Science
StudienbeginnWintersemester
Regelstudienzeit4 Semester
Bewerbungszeitraum3.4. - 30.4.
Zulassungsbeschränkungja
ECTS120
Zahl der Studienplätze:16

Warum Social and Economic Data Analysis in Konstanz studieren?

The University of Konstanz is one of only eleven universities nationwide with the formal status of “University of Excellence”. Founded in 1966 as a research university, it is a role model for the integration of research into teaching. Its first-rate infrastructure includes an excellent 24-hour library, state-of-the-art computer facilities, a language institute offering a wide variety of foreign language courses and superb sports facilities. The city of Konstanz, with its unique location on the banks of Lake Constance and the River Rhine and its proximity to the Alps, Austria, France, Liechtenstein and Switzerland, is the ideal location for studying in an exciting international setting and an attractive natural environment. The SEDA program brings together the expertise from various academic disciplines such as econometrics, statistics, and computer science. It thus has a broader theoretical and methodological scope than specific Master’s programs in statistics or survey methods. The skills acquired will make students highly employable in academia as well as in a job market for data analysts that is rapidly growing (polling firms, market research institutes, online marketing postitions, as political advisor, or consultant). In particular, the program has a “fast track” option to gain a doctoral degree at the Graduate School of Decision Sciences (GSDS).

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Inhalte

Perspektiven

Berufliche Perspektiven

The acquired skills will enable the students to work for polling firms and market research institutes, in online marketing, as political advisors or consultants.

Studienstruktur

Studienbeginn

Wintersemester

Studienaufbau

Two study tracks are offered, giving students the flexibility of customising their Master's studies in accordance with their own academic interests or career aspirations.

  • Track A is the fast track to a PhD. After the first three semesters of the programme, students with an outstanding performance record and a strong interest in academic research can be admitted to our Doctoral Programme in Quantitative Economics and Finance or to the Graduate School of Decision Sciences and take courses towards their doctorate during their Master's studies.
  • Track B is for students aiming for a general postgraduate education in Social and Economic Data Analysis. Students create their own programme of study from the wide range of modules available from the participating departments.


To make sure that all students meet the same academic standards, they will attend fundamental courses from outside their original academic field during their first and second semester. Second-year students may then either join the GSDS doctoral program as a “fast-track” option, or take advanced modules from the Master’s programs at the participating departments. A data analysis project, which may take the form of an internship, will serve the development of practical skills. The Master’s thesis is then to be written in the student’s field of choice.

For more information please see the website of the department.


Weitere Informationen zur Studienstruktur finden Sie in der Studien- und Prüfungsordnung.

Praktika und Auslandsaufenthalt

Praktika

An internship is recommendable.

Auslandsstudium

A period of study abroad is highly recommended. Equivalent study and exam achievements acquired during your stay will be recognised. The university enables study abroad via the ERASMUS programme and numerous other offers.

Voraussetzungen

Welche Interessen und Fähigkeiten sollte ich mitbringen?

  • interest in the collection, processing and analysis of quantitative social science data
  • knowledge in at least two of the following areas: Computer Science, Mathematics, Statistics and Social-scientific Methods
  • good English skills

Erforderliche Sprachkenntnisse

Proof of sufficient English language skills through one of the following tests:

  • Cambridge Certificate of Proficiency: minimum grade C
  • IELTS: minimum grade 6.5
  • TOEFL: minimum grade 92 (internet-based points)

Lehr- und Prüfungssprache

Language of instruction is mostly English.

Zugangsvoraussetzungen zum Studium

  • An above average Bachelor's degree, at least corresponding to the German grade 2,5 (good) in Economics, Mathematics/Statistics, Political Science, Computer Science, Sociology or Psychology. You are welcome to apply in your final year of your Bachelor's programme. Please submit your current academic transcript as PDF (with an officially certified translation into English or German, if applicable).
  • You will need to provide evidence of knowledge from at least two focus areas, acquired in at least three courses during your Bachelor’s degree, as listed below

Computer Science

  1. Database Systems (Dept. of Computer and Information Science)
  2. Algorithms and Data Structures (Dept. of Computer and Information Science)
  3. Programming Concepts in combination with a Programming Course (Dept. of Computer and Information Science)
  4. Principles of Computer Sciences in combination with a Programming Course (Dept. of Computer and Information Science)

Mathematics

  1. Mathematics I (Dept. of Economics)
  2. Mathematical Foundations of Computer Science (Dept. of Computer and Information Science)
  3. Linear Algebra (Dept. of Mathematics and Statistics)

Statistics

  1. Statistics (Dept. of Politics and Public Administration)
  2. Statistics I (Dept. of Economics)
  3. Statistics I (Dept. of Psychology)
  4. Statistics I (Dept. of Sociology)

Social-Scientific Methods

  1. Econometrics I (Dept. of Economics)
  2. Introduction to Survey Methodology (Dept. of Politics and Public Administration)
  3. Empirical Research Methods (Dept. of Politics and Public Administration)
  4. Empiricism: Quantitative Methods (Dept. of Sociology)
  5. Methods II (Dept. of Psychology)
  • Please include a curriculum vitae in English as well as a one-page statement of purpose written in English showing your suitability and motivation for pursuing the Master's programme.
  • Two letters of recommendation from university teachers who are able to comment on your suitability and motivation for participating in the Master's programme.
  • Although not mandatory, results of the GRE test are desirable if you did not complete your undergraduate degree in Germany.

For more information please see the website of the department.

Gebühren und Beiträge

Semesterbeitrag

Pro Studiensemester an der Universität Konstanz ist von allen Studierenden ein Semesterbeitrag zu zahlen, der in ähnlicher Höhe von allen Hochschulen in Deutschland erhoben wird. Hier erfahren Sie, wie hoch der aktuelle Semesterbeitrag ist und aus welchen Kosten er sich zusammensetzt.

Bewerbung

Admission to the Master's Programme is restricted.

Eine Bewerbung für den Studiengang ist innerhalb dieser Frist(en) möglich: 3.4. - 30.4. (Wintersemester). Bei Bewerbungen auf ein höheres Fachsemester (im Falle eines Fach- oder Hochschulwechsels) gelten gegebenenfalls andere Fristen. Bitte informieren Sie sich darüber auf der Webseite der Universität.

Erforderliche Bewerbungsunterlagen

To submit your online application you are required to upload the following supporting documents as PDF-files:

  • Scanned PDF academic transcript outlining your grades obtained from at least three courses from at least two focus areas proving knowledge in foundations of data analysis. 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 through one of the following tests:
  • Cambridge Certificate of Proficiency: minimum grade C, or IELTS: minimum grade 6.5, or TOEFL: minimum grade 92 (internet-based points)
  • Full CV in English
  • One-page statement of purpose in English
  • Letters of recommendation from two lecturers at your institution, on letter-head paper and signed, emailed separately as PDF-files by the referees in English or German
  • If applicable, scanned PDF of original GRE score sheet
  • Applicants from China, Mongolia and Vietnam: please attach the scanned original certificate by the Academic Evaluation Centre (Akademische Prüfstelle - APS) of the respective embassies in Beijing, Ulan Bator or Hanoi

Important: Successful MSc SEDA applicants will be required to submit all documents in original or as officially certified copies upon registration at the University of Konstanz.

Zur Bewerbung

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