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 or internal transfer
- Participants from the private sector
- Participants from the non-profit, civil service and UGent staff with payment not via SAP or internal transfer
- (PhD)-students outside UGent and UGent (PhD) students with payment not via SAP or internal transfer
UGent: internal registration
UGent-participants who pay via SAP or internal transfer have the advantage of internal rates.
UGent staff and UGent PhD students who do not pay via SAP or internal order fall under the categories 'Participants from the non-profit sector' and 'PhD students outside UGent' as mentioned below.
Participants from the private sector
If two or more employees from the same company enrol simultaneously for a module an overall reduction of 20% is granted on the fee starting from the second enrolment.
Fees | Module | Exam |
---|---|---|
M1: Getting Started with R Software for Data Analysis | 480 | n/a |
M2: Drawing Conclusions from Data: an Introduction | 960 | 30 |
M3: Single Cell Seq Data Analysis Boot Camp | 925 | n/a |
M4: Getting Started with Python for Data Scientists | 600 | n/a |
M5: Exploiting Sources of Variation in your Data: the ANOVA Approach | 960 | 30 |
M6: Leverage your R Skills: Data Wrangling & Plotting with Tidyverse | 240 | n/a |
M7: Identifying Latent Data Structures: Structural Equation Modelling I | 720 | n/a |
M7: Identifying Latent Data Structures: Structural Equation Modelling II | 720 | 30 |
M8: High Dimensional Data Analysis | 1110 | 30 |
M9: Getting Started with NVivo for Qualitative Data Analysis | 240 | n/a |
M10: Dynamic Report Generation with R Markdown | 240 | n/a |
M11: From Prior Belief to Data Driven Evidence: Bayesian Data Analysis in Action |
1110 | 30 |
M12: Explaining and Predicting Outcomes with Linear Regression | 960 | 30 |
M13: Upgrade your Python Skills: Data Wrangling & Plotting | 600 |
n/a |
M14: Microbiome Data Analysis Boot Camp | 925 | 30 |
M15: Mastering R Skills: Selected Topics for Successful Programming | 480 | n/a |
M16: From Language to Information: Natural Language Processing | 1110 | 30 |
M17: Building Interactive Apps with Shiny© in R | 600 | n/a |
M18: Artificial Neural Networks: from the Ground Up | 925 | 30 |
M19: Machine Learning with Python | 1320 | 30 |
Participants from the non-profit and civil service
These prices also apply to UGent staff who do not pay via SAP or internal transfer.
Fees | Module | Exam |
---|---|---|
M1: Getting Started with R Software for Data Analysis | 360 | n/a |
M2: Drawing Conclusions from Data: an Introduction | 720 | 30 |
M3: Single Cell Seq Data Analysis Boot Camp | 695 | n/a |
M4: Getting Started with Python for Data Scientists | 450 | n/a |
M5: Exploiting Sources of Variation in your Data: the ANOVA Approach | 720 | 30 |
M6: Leverage your R Skills: Data Wrangling & Plotting with Tidyverse | 180 | n/a |
M7: Identifying Latent Data Structures: Structural Equation Modelling I | 540 | n/a |
M7: Identifying Latent Data Structures: Structural Equation Modelling II | 540 | 30 |
M8: High Dimensional Data Analysis | 835 | 30 |
M9: Getting Started with NVivo for Qualitative Data Analysis | 180 | n/a |
M10: Dynamic Report Generation with R Markdown | 180 | n/a |
M11: From Prior Belief to Data Driven Evidence: Bayesian Data Analysis in Action |
835 | 30 |
M12: Explaining and Predicting Outcomes with Linear Regression | 720 | 30 |
M13: Upgrade your Python Skills: Data Wrangling & Plotting | 450 |
n/a |
M14: Microbiome Data Analysis Boot Camp |
695 | 30 |
M15: Mastering R Skills: Selected Topics for Successful Programming | 360 | n/a |
M16: From Language to Information: Natural Language Processing | 835 | 30 |
M17: Building Interactive Apps with Shiny© in R | 450 | n/a |
M18: Artificial Neural Networks: from the Ground Up | 695 | 30 |
M19: Machine Learning with Python | 990 | 30 |
(PhD) students outside UGent
These prices also apply to UGent PhD students who do not pay via SAP or internal transfer.
Fees | Module | Exam |
---|---|---|
M1: Getting Started with R Software for Data Analysis | 160 | n/a |
M2: Drawing Conclusions from Data: an Introduction | 325 | 30 |
M3: Single Cell Seq Data Analysis Boot Camp | 310 | n/a |
M4: Getting Started with Python for Data Scientists | 205 | n/a |
M5: Exploiting Sources of Variation in your Data: the ANOVA Approach | 325 | 30 |
M6: Leverage your R Skills: Data Wrangling & Plotting with Tidyverse | 80 | n/a |
M7: Identifying Latent Data Structures: Structural Equation Modelling I | 245 | n/a |
M7: Identifying Latent Data Structures: Structural Equation Modelling II | 245 | 30 |
M8: High Dimensional Data Analysis | 375 | 30 |
M9: Getting Started with NVivo for Qualitative Data Analysis | 80 | n/a |
M10: Dynamic Report Generation with R Markdown | 80 | n/a |
M11: From Prior Belief to Data Driven Evidence: Bayesian Data Analysis in Action | 375 | 30 |
M12: Explaining and Predicting Outcomes with Linear Regression |
325 | 30 |
M13: Upgrade your Python Skills: Data Wrangling & Plotting | 205 |
n/a |
M14: Microbiome Data Analysis Boot Camp | 310 | 30 |
M15: Mastering R Skills: Selected Topics for Successful Programming | 160 | n/a |
M16: From Language to Information: Natural Language Processing | 375 | 30 |
M17: Building Interactive Apps with Shiny© in R | 205 | n/a |
M18: Artificial Neural Networks: from the Ground Up | 310 | 30 |
M19: Machine Learning with Python | 445 | 30 |