Machine Learning and Data Science - Specialization

Machine Learning

Machine learning plays an more and more important role in many engineering application fields. This specialization provides a theoretical and computational foundation in machine learning. 

Specialization specific courses

The student must follow the requirements in the general curriculum for the programme. In addition, at least 20 ECTS points are obtained among the following courses:

02458 Cognitive Modelling 5 point Autumn E2B (Thurs 8-12)
02460 Advanced Machine Learning 5 point Spring F1B (Thurs 13-17)
02471 Machine learning for signal processing 5 point Autumn E1B (Thurs 13-17)
02477 Bayesian machine learning 5 point Spring F2A (Mon 13-17)
02501 Advanced Deep Learning in Computer Vision 5 point Spring F4A (Tues 13-17)
02504 Computer Vision 5 point Spring F3B (Fri 13-17)
42186 Model-based machine learning 5 point Spring F5B (Wed 13-17)

The following courses are recommended for the specialization:

02195 Quantum Algorithms and Machine Learning 5 point Spring F2A (Mon 13-17)
02456 Deep learning 5 point Autumn E2A (Mon 13-17)
02476 Machine Learning Operations 5 point January
02510 Deep learning and data engineering for image analysis 5 point Spring F5A (Wed 8-12)
02516 Introduction to Deep Learning in Computer Vision 5 point Autumn E5B (Wed 13-17)
02517 Responsible AI: Algorithmic fairness and explainability 5 point Autumn E2B (Thurs 8-12)
02582 Computational Data Analysis 5 point Spring F2B (Thurs 8-12)
02611 Optimization for Data Science 5 point Spring F5B (Wed 13-17)

Specializations are merely recommended ways of choosing the courses in the curriculum. Applicants are not admitted to a specialization but to the programme and it is possible to choose among all the courses in the curriculum following the directions given. However, if a specialization has been fulfilled the title of the specialization may be added to the diploma.