# Prices

ICES uses graded registration fees depending on the main employment of the participant.

Course material and books can not be bought separately from registration for the connected module.

The following price categories are used:

## AUGent: internal registration

AUGent-participants who pay via SAP have the advantage of internal rates.

AUGent staff and AUGent Ph.D-students who do not pay via SAP fall under the categories 'Participants from the non-profit sector' and 'Ph.D-students outside AUGent' as mentioned below.

## Participants from the private sector

If three or more employees from the same company enrol simultaneously for a module an overall reduction of 10% is granted on the fee (excluding books).

Fees Module Exam
M1: Introduction to R 390 n/a
M2: Introductory Statistics with R or SPSS 960 30
M3: Introduction to Statistics with Python 490 n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part I 1.110 n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part II 740 n/a
M5: Analysis of Variance with R or SPSS 960 30
M6: Survival Analysis and Competing Risks 925 30
M7: Introduction to NVivo for Qualitative Data Analysis 200 30
M8: Applied Linear Regression 960 30
M9: R Intermediate 390 n/a
M10: Multilevel Analysis for Grouped and Longitudinal Data 1.080 30
M11: Machine Learning with Python 1.320 30

M12: Manipulating, Plotting and Reporting Data in R

• Session 1
• Session 2
• Session 3

100

100

100

n/a
M13: Propensity Score Methods 925 30

## Participants from the non-profit and civil service

These prices also apply to AUGent staff who register without an SAP internal order.

Fees Module Exam
M1: Introduction to R 195 n/a
M2: Introductory Statistics with R or SPSS 400 30
M3: Introduction to Statistics with Python 205 n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part I 945 n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part II 630 n/a
M5: Analysis of Variance with R or SPSS 400 30
M6: Survival Analysis and Competing Risks 785 30
M7: Introduction to NVivo for Qualitative Data Analysis 170 n/a
M8: Applied Linear Regression 400 30
M9: R Intermediate 195 n/a
M10: Multilevel Analysis for Grouped and Longitudinal Data 445 30
M11: Machine Learning with Python 545 30

M12: Manipulating, Plotting and Reporting Data in R

• Session 1
• Session 2
• Session 3

85

85

85

n/a
M13: Propensity Score Methods 785 30

## (PhD)-students outside AUGent

These prices also apply to AUGent Ph.D-students who register without an SAP internal order.

Fees Module Exam
M1: Introduction to R 125 n/a
M2: Introductory Statistics with R or SPSS 280 30
M3: Introduction to Statistics with Python 145 n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part I 425 n/a
M4: Extensions to the Design and Analysis of Case-Control Studies: Part II 285 n/a
M5: Analysis of Variance with R or SPSS 280 30
M6: Survival Analysis and Competing Risks 355 30
M7: Introduction to NVivo for Qualitative Data Analysis 75 n/a
M8: Applied Linear Regression 280 30
M9: R Intermediate 125 n/a
M10: Multilevel Analysis for Grouped and Longitudinal Data 315 30
M11: Machine Learning with Python 385 30

M12: Manipulating, Plotting and Reporting Data in R

• Session 1
• Session 2
• Session 3

40

40

40

n/a
M13: Propensity Score Methods 355 30