Admission & Services
To complete your registration and guarantee your course slot(s), you are required to submit various documents. Applications are carefully reviewed and applicants are contacted within two days. Our courses are structured into different modules. In addition to attending our courses, networking and getting to know international peers in an informal setting are additional pluses of the GSERM.
Accommodation is available and can be booked at an additional cost.
Admission
Study enrollment confirmation OR recent diploma
Study enrollment confirmation for students OR recent diploma for post-docs, professors and professionals.
Curriculum vitae
Current Curriculum vitae
Copy of passport or ID
Copy of a valid passport or ID showing your picture and passport/ID number
Motivation letter
Please provide a motivation letter in English explaining your expectations & motivation (does not apply to students from the University of St.Gallen)
Billing address
If the billing address is that of your employer or university, please insert the detailed billing information in the application portal
Terms and Conditions
Terms and Conditions can be downloaded and must be accepted on the application portal
Course structure
The GSERM Global School in Empirical Research Methods is structured into different modules. Participants select one course per week as courses are taught concurrently. GSERM courses are divided into different levels: basic, intermediate and advanced. Please pay careful attention to the levels indicated in the course directory.
01
Workshop Lecturesonly at GSERM St. Gallen
As a special service for our participants at GSERM St.Gallen, we offer 3 new workshop lectures free of charge. Participants may attend all 3 courses (Regression, Applied Maths, Statistics with R) as they are taught in the morning, afternoon and late afternoon. Workshop lectures can be selected optionally but only in combination with at least one regular GSERM course.
02
BasicB = Basic (little or no statistical skills)
03
IntermediateM = Intermediate (some knowledge in statistics)
04
AdvancedA = Advanced (fundamental skills in statistics)
Services
Individual consultation on database introduction for specific questions regarding your own research
Use of the University Library
"Karl Emil Wild" evening lecture series on research methodology
only at GSERM St. Gallen
Social programme (evenings and weekends)
Free access to sports lessons and gym
Beverages and fruit before class
WiFi on campus and accommodation (if requested)
Support of GSERM team (24 h hotline)
