Social and Economic Data Analysis – Master of Science

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Postgraduate study programme which requires a first higher education 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.

Overview

DegreeMaster of Science
Programme startWinter semester
Period of study4 semesters
Application period3.4. - 30.4.
Admission restrictionsyes
ECTS120
Number of places:16

Why study Social and Economic Data Analysis at Konstanz?

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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Content

Prospects and opportunities

Career prospects

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

Programme structure

Programme start

Winter semester

Academic structure

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.


Additional information about the programme structure is available at the Exam regulations (in German).

Internship and study abroad

Internships

An internship is recommendable.

Study abroad

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 Erasmus+ and numerous other offers.

Requirements

What interests and skills should I have?

  • 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

Language skills

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)

Language(s) of instruction

Language of instruction is mostly English.

Admission requirements

  • 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.

Fees

Semester fee

All students enrolled at the University of Konstanz are charged a semester fee each semester, similar to all other German universities. Here you can find the current semester fee and its individual components.

Tuition fees for first degree studies for some international students
Beginning in the winter semester 2017/18, the state of Baden-Württemberg will require some international students to pay university tuition fees for their first degree studies. The following will generally not be required to pay tuition fees: citizens of a country within the European Union (EU) or the European Economic Area (EEA), doctoral students and certain 'Bildungsinländer' (international students with German Abitur). You can find more detailed information here.

Tuition fees for second degree studies for all students
All students will be required to pay tuition fees for their second degree studies starting in the winter semester 2017/18, too. You can find more detailed information here.

Application and application documents

Admission to the Master's Programme is restricted.

An application is possible during the following period: 3.4. - 30.4. (winter semester). There may be other deadlines if you are applying for admission to a higher semester (for instance, if you are changing subjects or universities). For more information please consult the university website.

Application documents

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.

Application

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