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The Mannheim Master of Applied Data Science & Measurement is designed to provide an outstanding online learning experience in the area of data collection and analysis to tomorrow’s leaders. Students can choose from three tracks: Survey Methodology, Data Insights, and Survey Statistics. The program comprises 75 ECTS credits.
Completing course videos and required readings for class sessions at your own pace makes this program particularly attractive to working professionals, while weekly online meetings and an annual immersion event keep you engaged. You will form close relationships with your classmates and faculty members during the weekly online meetings since classes are small, providing an optimal student-to-faculty ratio.
The ﬁrst study year includes a course on the principles and fundamentals of survey and data science. You will be introduced to the key terminology and concepts of collecting and analyzing data from surveys and other data sources in order to gain insights and test hypotheses about the nature of human and social behavior and interaction.
Every year, the University of Mannheim hosts a “Connect@MDM” conference. While one part of the event is exclusive to students, providing you with the opportunity to meet faculty and peers face to face, the other part is dedicated to facilitating information exchange in the area of survey and data science across various sectors. The conference brings together students, professionals, and researchers for workshops, talks, and networking. Past events have welcomed professionals from Deutsche Bundesbank, Facebook, Google, and Tableau, as well as leading experts from universities around the globe.
Together with a team of fellow students, you will apply the knowledge and methodological skills you have acquired during your studies in a comprehensive practical project for one of our partner companies (Project Consulting Course) as well as in your Team Master Project.
For the Mannheim Master of Applied Data Science and Measurement, the indivdiual master thesis will be adressed with our proven Multi Competence Team (MCT) approach.
We aim to maximize the individual team diversity in terms of professional and personal backgrounds in order to strengthen the team work skills of all members.
Business or research topics are possible.
A high level of diversity within the MCTs of all programs is of utmost imporance to Mannheim Business School.
Participants are assigned to their MCTs according to the following properties:
There is a great demand for data experts in organizations of all sizes and in all industries. The three tracks of the Mannheim Master of Applied Data Science & Measurement will prepare you for various positions. Although you will learn how to solve problems using data in all three tracks, each track focuses on speciﬁc skills required for a range of job positions.
Get a first-hand description of how the program works and how the three distincitve tracks can be delineated by Academic Director Prof. Frauke Kreuter.
This track will allow you to hold positions such as Survey Methodologist, (Quantitative) User Experience Researcher (UXR), Research Scientist, and Decision Scientist, where you will help organizations understand and focus on the customers they serve. With your skills, you will help create understanding and empathy in your organization for customers’ preferences and needs, stated and unstated. This can be done by collecting data through surveys, experiments, or analyzing log data: results usually help create new insights, products, and services.
You will learn how to:
This track will prepare you for positions such as (Survey) Sampling Statistician, Research Scientist, and Decision Scientist. People in such positions often work in public and private organizations that issue or conduct large-scale data collections in areas such as health, the labor market, transport, the military, and education, providing the technical backbone for these data collection efforts. This includes creating sample designs and data analysis tasks, solutions for data quality problems, software for sample-size calculation, weighting, variance estimation, imputation, and nonresponse adjustment.
You will learn how to:
This track will allow you to hold positions that use scientiﬁc methods, processes, and systems to extract knowledge and insights from data, playing a central role in organizations’ efforts to incorporate new data sources and emerging technologies in their decision-making and reporting processes. You will help organize the data pipeline, from data collection or ingest to ﬁnal data products. This track focuses on unstructured data rather than more structured survey data designed for a speciﬁc purpose.
You will learn how to: