Courses

Track Data Science in Engineering:

Data Science in Engineering is a track within Computer Science and Engineering.

This track will be phased out; cohort 2022 is the last cohort of this track, students have until 31 August 2026 to get their diploma.

Quarter Code Study component Credits
Mandatory courses 65
1 2IMA10 Advanced algorithms 5
1 2AMS10 Longitudinal Data Analysis 5
1 2AMI10 Foundations of Process Mining 5
2 2AMI20 Advanced process mining 5
3 2DI70 Statistical learning theory 5
3 2AMD15 Big Data Management 5
4 or 6 Seminar1 5
  2IMC00 Master project 30
 
Stream electives 2 20
1 2AMM20 Research Topics in Data Mining 5
1 2IMS25 Principles of Data Protection 5
2 0LM190 Philosophy and ethics of AI 5
2 2IMA35 Massively Parallel Algorithms 5
2 2IMD10 Engineering Data Systems 5
2 2IMP40 Empirical Methods in Software Engineering 5
3 2AMM15 Machine Learning Engineering 5
3 2DD23 Time series analysis and forecasting 5
3 2IMA20 Algorithms for Geovisualization 5
4 2AMM10 Deep Learning 5
4 2AMS20 Statistics for Big Data 5
4 2IMA30 Topological Data Analysis 5
4 2AMU20 Generative AI Models 5
4 2AMV10 Visual Analytics 5
 
Free electives 35
1,2,3,4 SFC640 Academic writing in English 5
  2IMC10 Internship 15
 

2IMD05,

2IMI05,

2IMM05,

2IMV05,

2IMU05

Capita Selecta 5

1 The student chooses at least one seminar. A seminar may be followed starting from the fourth semester of the program.

2 The student is required to choose at least 20 credits from this list.

 

Students are permitted to replace 2AMI10 Foundations of Process Mining with 2IMV20 Visualization, in this case 2AMI10 Foundations of Process Mining may be chosen as a stream elective.

Please note 2IMV20 is currently not offered anymore.

 

Students who have taken JBI100 are not allowed to follow 2IMV20 Visualization due to overlap.

They are required to take 2AMV Visual Analytics instead.

 

Students are permitted to replace 2AMS10 Longitudinal data Analysis with 2DMT00 Applied Statistics.

Please note 2DMT00 is currently not offered anymore.