Internal rates

UGent staff and UGent PhD-students who pay using SAP have the advantage of the reduced fees mentioned below.

Other UGent staff and UGent PhD-students who register fall under the standard rates for "Participants from the non-profit and civil service" respectively "PhD-students outside UGent".

Internal order or internal transfer?

To decide which is the best way to pay in SAP please visit this page.

Fees	Module	Exam
M1: Introduction to R	150	n/a
M2: Introductory Statistics with R or SPSS	305	30
M3: Introduction to Statistics with Python	160	n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part I	725	n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part II	485	n/a
M5: Analysis of Variance with R or SPSS	305	30
M6: Survival Analysis and Competing Risks	605	30
M7: Introduction to NVivo for Qualitative Data Analysis	130	n/a
M8: Applied Linear Regression	305	30
M9: R Intermediate	150	n/a
M10: Multilevel Analysis for Grouped and Longitudinal Data	345	30
M11: Machine Learning with Python	420	30
M12: Manipulating, Plotting and Reporting Data in R Session 1 Session 2 Session 3	65 65 65	n/a
M13: Propensity Score Methods	605	30

Fees	Module	Exam
M1: Introduction to R	105	n/a
M2: Introductory Statistics with R or SPSS	240	30
M3: Introduction to Statistics with Python	125	n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part I	360	n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part II	240	n/a
M5: Analysis of Variance with R or SPSS	240	30
M6: Survival Analysis and Competing Risks	300	30
M7: Introduction to NVivo for Qualitative Data Analysis	65	n/a
M8: Applied Linear Regression	240	30
M9: R Intermediate	105	n/a
M10: Multilevel Analysis for Grouped and Longitudinal Data	270	30
M11: Machine Learning with Python	325	30
M12: Manipulating, Plotting and Reporting Data in R Session 1 Session 2 Session 3	30 30 30	n/a
M13: Propensity Score Methods	300	30