Machine Learning and Data Science - Specialization
Machine Learning and Data Science
The explosion in the availability of data from the internet and modern sensor technology (in neuroscience, bio-medicine, imaging, etc.) offers new possibilities for science and technology, but it also poses significant challenges for the development of methodology and computational tools. Statistics, mathematical modeling, and computational methods come together in machine learning and data science to form solutions to these large-scale data engineering problems.
Specialization specific courses
The student must follow the requirements in the general curriculum for the programme. In addition, at least 15 ECTS points are obtained among the following courses:
| 02427 | Advanced Time Series Analysis | 10 | point | Autumn E5 (Wed 8-17) |
| 02460 | Advanced Machine Learning | 5 | point | Spring F1B (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) |
| 02582 | Computational Data Analysis | 5 | point | Spring F2B (Thurs 8-12) |
| 02611 | Optimization for Data Science | 5 | point | Spring F5B (Wed 13-17) |
| 42186 | Model-based machine learning | 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.
Contact
Tommy Sonne Alstrøm Associate Professor Phone: +45 45253431 Mobile: +45 93511848 tsal@dtu.dk
Allan Peter Engsig-Karup Associate professor Phone: +45 45253073 apek@dtu.dk
Anders Bjorholm Dahl Professor, Head of Section Phone: +45 45253907 Mobile: +4551896913 abda@dtu.dk