# 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.

## UGent staff (SAP)

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

## AUGent Ph.D-students (SAP)

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