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.
==> Calculate the correct registration fee <==
The following price categories are used:
- AUGent (PhD) students and staff: payment via SAP
- Participants from the private sector
- Participants from the non-profit, civil service or AUGent staff without internal SAP order
- (PhD)-students outside AUGent or AUGent (PhD) student without internal SAP order
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
|
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
|
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
|
40 40 40 |
n/a |
| M13: Propensity Score Methods | 355 | 30 |