Results reports of the Workload-Study in fall term 2016
The new short reports on the results of the Workload-Study in the fall term are online now.
This is about recording the time that students spend with attending the events and self-study. Followed by the ECTS points, which are required to pass a degree.
The survey took place from 14th to 22nd November 2016, and includes Bachelor's degree courses in Political Science, Psychology and Sociology, as well as the Master's degree courses Political Science, Psychology with a focus on work, business and society, psychology with a focus on clinical and cognitive psychology and sociology.
Dr. Jochen Gebauer receives a Heisenberg professorship of the German Research Foundation DFG
Mannheim psychologist Dr. Jochen Gebauer receives a Heisenberg professorship of the German Research Foundation DFG. He conducts research on social and personality psychology and focuses on self-concept and self esteem. The Heisenberg professorships of the DFG offer the prospect of a permanent position as professor to outstanding young scientists. Congratulations!
[New Faces]² - Inaugural Lecture Prof. Marinov, Ph.D.
On Wednesday the 24th of May, Prof. Marinov, Ph.D., Professor for Empirical Democracy Research, will hold his inaugural lecture at the Department of Social Science. In a speech titled “Why Democracy is Retreating and Should We Do Anything about it?”, he will introduce himself and the focus of his works.
Anyone interested is cordially invited!
Location: A5, Room B144
Tuition fees for international students
The State of Baden-Württemberg will introduce tuition fees for international students who will study starting from fall semester 2017. International students will be required to pay EUR 1,500.00 per semester. The fees are for international students who enter for the purpose of study.
Students from the EU, the EEA, refugees as well as international students who received their general qualification for university entrance (Abitur) in Germany are excluded from the fee. Furthermore, students with established living conditions in Germany are also excluded from the fee.
Please note: students who are enrolled at the University of Mannheim before the fall semester of 2017 do not have to pay tuition fees.
Tuition fees for the second degree (starting in the fall semester 2017)
Students from the EU and the EEA member states and German citizens or foreign students with a German university entrance qualification, who already hold a German bachelor's or German master's degree, may have to pay tuition fees when gaining their second degree of the same level. It is expected that this fee will amount to EUR 650.00
You can find more information here.
The 2nd "IPSDS Talks" takes place on Saturday the 28th of January at the University of Mannheim (14:00-16:30). IPSDS Talks is an event dedicated to modern data collection methods.
Keynote speech: "Macroeconomic Indicators: From Big Data to Information" by Roberto Rigobon (MIT), co-founder of the Billion Price Project.
Other speakers and the detailed program will be released shortly here.
To register for the IPSDS Talks, please send an e-mail to firstname.lastname@example.org
The Connect@IPSDS provides IPSDS students with the opportunity to meet faculty and peers in-person at the University of Mannheim. Our students will also meet survey and data science leading professionals as well as take part in some intensive workshops.
New Degree Program Mannheim Master in Data Science
14. 02. 2017
The School of Business Informatics and Mathematics together with the School of Social Sciences start to offer the new degree program Mannheim Master in Data Science in Spring 2017. The degree program equips students with solid theoretical foundations as well as the necessary practical skills to obtain operational insights from large and complex data sets.
The acquisition and utilization of large quantities of data nowadays influences all areas of our daily life. The analysis and interpretation of large and often complex datasets - called Data Science - is a key factor for the economic success of businesses, the improvement of processes in public administration, as well as the advancement of science. The central obstacle that hinders companies, governments, and research institutions from realizing a larger number of Big Data projects is the lack of well-trained specialists who have the ability to integrate, analyze and interpret large amounts of data. With its new degree program “Mannheim Master in Data Science“ (MMDS), the University of Mannheim contributes as one of the first universities in Germany to closing this education gap.
Due to the traditionally strong quantitative and empirical orientation of Mannheim’s social sciences as well as due to the focus of Mannheim’s business informatics and mathematics on analyzing large data sets, the University of Mannheim provides the ideal environment for educating data scientists. The new degree program teaches students both the fundamental knowledge about methods of empirical social research and explorative data mining, and the skills to apply this knowledge on large data sets in practice. The program is highly interdisciplinary and is run as a collaboration of University of Mannheim’s Data and Web Science Group, Institute of Business Informatics, Department of Sociology, Department of Political Science, and Institute of Mathematics.
The MMDS degree program starts in the spring term of 2017 with 25 students per year. The program is financially supported by the second stage of the “Master 2016” extension program of the state of Baden-Württemberg. The target audience of the degree program are graduates of technically oriented Bachelor programs such as business informatics, business mathematics, informatics, mathematics and statistics, as well as graduates of quantitatively oriented Bachelor programs in social and economic sciences such as business administration, political sciences, sociology, and economics.
Structure and Content
The program is structured into the five blocks Fundamentals, Data Management, Data Analytics, Projects and Seminars, and the Master’s Thesis.
Fundamentals: The goal of the fundamentals block is to align the previous knowledge of students from different degree programs. Graduates from computer science and mathematics acquire the required knowledge in empirical research (in particular, data collection and multivariate statistics). Graduates from the social sciences and other fields acquire the required knowledge in computer science (in particular, programming and database technology).
Data Management: One of the central challenges in the Big Data area is to handle the enormous amount, speed, heterogeneity, and quality of the data collected in industry, the public sector, and science. The Data Management block covers methods and concepts for obtaining, storing, integrating, managing, querying, and processing large amounts of data. The block includes courses on modern data management technology (such as parallel database systems, Spark, and NoSQL databases), data integration, information retrieval and search, software engineering, and algorithms.
Data Analytics: The Data Analytics block forms the core of the study program. It provides courses ranging from data mining, machine learning, and decision support, over text analytics and natural language processing, to advanced social science methods such as cross-sectional and longitudinal data analysis. The range of methodological courses is enhanced by courses on optimization, visualization, mathematics and information, and algebraic statistics.
Projects and Seminars: The Projects and Seminars block introduces students to independent research and teaches the skills necessary to successfully participate in and contribute to larger data science projects. The block consists of research seminars, individual projects, team projects, as well as data science competitions. The projects are conducted jointly with industrial partners and/or support ongoing research efforts of participating institutes.
Master Thesis: In the master thesis, students apply what they learned throughout the program. The master thesis has a duration of 6 months. Students are encouraged to write their thesis either in the context of research projects conducted by participating institutes or together with an industrial partner.
More information about the degree program and how to apply for the program is found at http://www.wim.uni-mannheim.de/de/fakultaet/studiengaenge/msc-in-data-science/.
IPSDS Talks take place on the 20th of February 2016
The 1st "IPSDS Talks"
takes place on the 20th of February at the University of Mannheim
(14:00-16:30). IPSDS (International Program in Survey and Data Science)
Talks is an open event dedicated to modern data collection methods.
Keynote speech: "Importance of Survey Research" by Mario Callegaro (Google).
Other speakers and the detailed program will be released shortly. (http://survey-data-science.net/connectipsds-0)
To register for the IPSDS Talks, please send an e-mail to email@example.com.
IPSDS is a project funded by the German Federal Ministry of Education and Research (BMBF) in order to establish an online study program for working professionals in survey methodology and data science. Core project partners are the Universities of Mannheim (Germany) and Maryland (USA).
Project Leader: Prof. Dr. Frauke Kreuter.
Results of the Workload Survey
Thank you for your participation in the workload survey. You'll find the results of the study here.
The next survey will take place from November 2 to November 9, 2015.
Thank you for taking time out to participate also in the next survey!
Workload Survey taking place from April 27 to May 4, 2015
The School of Social Science would like to know more about your actual workload situation during your studies. We therefore invite all students of the bachelor`s and master`s programs of the School of Social Science to take part in a
taking place from April 27 to May 4, 2015.
The survey is conducted online. In order to complete the questionnaire, you will receive an access code via your Horde e-mail account on April 27. This access code allows you to complete the questionnaire once.
Please find more information on the survey here.
Thank you for your time and participation!