Summer School

Research Methods and Data Science.

In 2019, the School of Business and Economics held the 5th Aachen International Summer School in Research Methods and Data Science for Post-Docs, PhDs, and advanced master students from all areas of specialization.

The one-week courses were offered during the period from August to September 2019 and are highly interactive, method-, and application-oriented. They are delivered by outstanding instructors from RWTH Aachen University and other prestigious international universities.

Appointments and subject for 2020 will be announced once available.

Courses in 2019

  • Introduction to the Publication Process in Peer-Reviewed Journals
  • Introduction to Survey Design
  • Introduction to Lab & VR Experiments
  • Introduction to Social Network Analysis using Advanced Data Mining
  • Introduction to Qualitative Research Methods
  • Applied Advanced Econometrics
  • Scientific Writing Skills

The courses have been designed to equip students and aspiring researchers with insights into state-of-the-art research methods and supporting software packages as well as to help participants gain research skills in topics such as qualitative research, grounded theory, academic publishing, advanced econometrics, data mining, and scale development.

Participants also have the opportunity to apply these insights in order to solve hands-on research problems and to discuss their findings with their peers. The acquired skills will prove most helpful for designing and conducting empirical research projects for instance as part of a master thesis, PhD research or later professional life. The instructors also spend time describing their own academic career trajectory, extracting lessons learned and discussing the particularities of academic careers in their respective countries.

Interested parties can choose from seven intensive courses on quantitative and qualitative research methods with an attractive course format: 5 consecutive days comprising 6 hours of classroom interaction per day, for a total of 30 hours. Upon successful completion of each course, participants will earn 5 ECTS credits, which master students can have counted towards their degree program.