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In today's digital age, we are amassing tremendous amounts of data generated by surveys as well as everyday activities such as online shopping, the use of social networks, and the Internet of Things. Advanced techniques for collecting and analyzing these data allow us to gain insights more quickly, discover previously unknown relationships, and foster innovation. This is why the demand for data practitioners is booming.
The Mannheim Master of Applied Data Science & Measurement is designed for professionals who want to enhance their data collection and analysis skills while pursuing their careers. This advanced online master’s program will equip you with the skills necessary to tackle the fundamental ways data is generated and used. The multidisciplinary curriculum taught by international faculty from the world’s top-ranked universities, statistical agencies, and businesses will prepare you for a wide range of business and research positions.
If you would like a preliminary consultation with the Admissions Manager via skype to discuss your profile, please send an e-mail with your CV and a time slot that would suit you to: email@example.com. Ms. Gotsulyak will advise you whether your profile meets the requirements of our MDM program.
Please note that these online consultations will take place during our usual office hours on weekdays. These consultations do not start an application process and do not replace the selection interview.
In contrast to other courses of study in this ﬁeld, the Mannheim Master of Applied Data Science & Measurement has a clear focus on data collection and questionnaire design, addressing the important questions at the beginning of the data pipelines in organizations. Participants will learn to identify appropriate methodologies for their organizations’ data collection efforts, and to organize the obtained data pipeline in order to help their organizations gain insights and optimize their decision-making processes.
The program is taught in close collaboration with the University of Maryland, which has offered the world-renowned Joint Program in Survey Methodology (JPSM) since 1993, together with the University of Michigan, and Westat, a private survey research firm.
Excellence: Learn from a world-class faculty and earn a master’s degree from one of Europe’s leading universities.
Flexibility: Join courses online from anywhere in the world, at your own pace.
Networking: Interact and network with faculty, industry leaders, and peers in live video sessions and annual on-site workshops.
Practical and academic basis: Acquire the necessary tools for survey methodology, statistics, and data science to take your career to the next level.
Individuality: Tailor the curriculum to your professional needs by choosing from three tracks and coordinating your studies with your professional activities.
Value for money: A degree from Mannheim is ﬁnancially worthwhile, as proven by numerous rankings and studies (including Forbes, Financial Times, and QS).
Community: Become part of a global community of successful business professionals and enjoy exclusive access to a wide range of events and networking opportunities.
The Mannheim Master of Applied Data Science & Measurement has evolved from the International Program in Survey and Data Science (IPSDS). The development of the course of study and the research necessary for its establishment was supported by the German Federal Ministry of Education and Research. Three cohorts of international participants are already in the program.
With the academic degree M.Sc. awarded by the University of Mannheim and the specialist knowledge you have acquired, there are, depending on your orientation, many different areas of application and many interesting professional fields.
Why the Mannheim Master of Applied Data Science & Measurement pays off for companiesLearn More
What are the prerequisites for admission? And what does the admissions procedure look like?Learn More
The faculty of the Mannheim Master of Applied Data Science & Measurement consists of members of the Mannheim School of Social Sciences, scientists from other faculties and universities as well as experienced practitioners and experts from the fields of Data Science.
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