Program Structure

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Extensive Knowledge, Faculty, and Peers at Your Fingertips

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.

Program Structure Overview

Master the Skills Needed to Succeed in a World Shaped by Data

  • Online Learning Environment

    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.

  • Getting Started in Survey and Data Science

    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.

  • Immersion Event

    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.

  • Collaborative Approach

    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.

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.

  • Goal

    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.

  • Topics

    Business or research topics are possible.

  • Group Composition

    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:

    • First Academic Degree
    • Industry Background
    • Nationality
    • Gender
    • Age
    • Personality

Learning Goals and Job Prospects

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.

Survey Methodology Track

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:

  • apply appropriate quantitative methods to answer research questions;
  • provide subject matter experts with usable measurement strategies and methodologies to meet their decision needs;
  • develop and administer questionnaires and other data collection methods;
  • evaluate data quality;
  • analyze the collected data and combine the results with insights from other resources;
  • deliver insights and recommendations clearly to relevant audiences;
  • and consider ethical aspects in collecting and analyzing the data.

Survey Statistics Track

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:

  • guide subject matter experts in identifying the appropriate survey and sampling frames;
  • consult on the need for probability- and non-probability-based data collection;
  • develop sampling designs and statistical analysis procedures for complex projects and proposals, including sample size and power calculations (R);
  • adjust for measurement error;
  • direct nonresponse bias analysis and adjustments for missing data, including both unit and item nonresponse;
  • and develop descriptions of sampling and weighting plans that are suitable for proposals and project reports.

Data Insights Track

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:

  • write production code for automated models;
  • ingest data from websites and application programming interfaces;
  • construct databases and manage data (SQL);
  • link records from different databases;
  • apply machine learning models, perform basic data mining, and process natural language (Python, R);
  • write replicable and reproducible software code;
  • visualize and communicate results;
  • and protect personal and organizational data.

Contact Person

Olga Gotsulyak
Admissions Mannheim Master of Applied Data Science & Measurement

MANNHEIM BUSINESS SCHOOL (MBS)

Located in the heart of the German and European economy, Mannheim Business School (MBS), the umbrella organization for management education at the University of Mannheim, is considered to be one of the leading institutions of its kind in Germany and is continuously ranked as Germany’s #1.

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