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Fees

We use graded registration fees depending on your main employment.

Private sector, industry and profession

If two or more employees from the same company register simultaneously for a module an overall reduction of 20% is granted on the course fee starting from the second enrolment.

Fees Module Exam
M1: Getting Started with R Software for Data Analysis 560 n/a
M2: Drawing Conclusions from Data: an Introduction 990 35
M3: Design and Analysis of Clinical Trials => This is a microcredential.
M4: Getting Started with Python for Data Scientists 700 n/a
M5: Exploiting Sources of Variation in your Data: the ANOVA Approach 960 35
M6: Getting Started with NVivo for Qualitative Data Analysis 280 n/a
M7: Leverage Your R Skills: Data Wrangling & Plotting with Tidyverse 420 n/a
M8: Dynamic Report Generation with R Markdown 280 n/a
M9: Explaining and Predicting Outcomes with Linear Regression 960 35
M10: Mastering R Skills: Selected Topics for Successful Programming 560 n/a
M11: Multilevel Analysis for Grouped and Longitudinal Data 1110 35
M12: Machine Learning with Python 1320 35
M13: Building Interactive Apps with Shiny© in R 700

n/a
M14: Artificial Neural Networks: from the Ground Up 925 35

Non-profit, government, higher education staff

Fees Module Exam
M1: Getting Started with R Software for Data Analysis 420 n/a
M2: Drawing Conclusions from Data: an Introduction 745 35
M3: Design and Analysis of Clinical Trials => This is a microcredential.
M4: Getting Started with Python for Data Scientists 525 n/a
M5: Exploiting Sources of Variation in your Data: the ANOVA Approach 720 35
M6: Getting Started with NVivo for Qualitative Data Analysis 210 n/a
M7: Leverage Your R Skills: Data Wrangling & Plotting with Tidyverse 315 n/a
M8: Dynamic Report Generation with R Markdown 210 n/a
M9: Explaining and Predicting Outcomes with Linear Regression 720 35
M10: Mastering R Skills: Selected Topics for Successful Programming 420 n/a
M11: Multilevel Analysis for Grouped and Longitudinal Data 835 35
M12: Machine Learning with Python 990 35
M13: Building Interactive Apps with Shiny© in R 525

n/a
M14: Artificial Neural Networks: from the Ground Up 695 35

 

(PhD) students, unemployed

Fees Module Exam
M1: Getting Started with R Software for Data Analysis 190 n/a
M2: Drawing Conclusions from Data: an Introduction 335 35
M3: Design and Analysis of Clinical Trials => This is a microcredential.
M4: Getting Started with Python for Data Scientists 235 n/a
M5: Exploiting Sources of Variation in your Data: the ANOVA Approach 325 35
M6: Getting Started with NVivo for Qualitative Data Analysis 95 n/a
M7: Leverage Your R Skills: Data Wrangling & Plotting with Tidyverse 140 n/a
M8: Dynamic Report Generation with R Markdown 95 n/a
M9: Explaining and Predicting Outcomes with Linear Regression 325 35
M10: Mastering R Skills: Selected Topics for Successful Programming 190 n/a
M11: Multilevel Analysis for Grouped and Longitudinal Data 375 35
M12: Machine Learning with Python 445 35
M13: Building Interactive Apps with Shiny© in R 235

n/a
M14: Artificial Neural Networks: from the Ground Up 310 35