Data Science - Specialization

 

 

Specialization: Data Science

”Data Science” is centred around development of services that enable modelling of user behavior based on raw text and images from social media or retrieved from contextually data generated by wearables and smartphones, and on methods to analyze, gain insights from, and possibly react to data arising from human activities.

To fulfill the requirements for the specialization, the student must follow the requirements in the general curriculum for the programme such that at least 35 ECTS points are obtained among the recommended courses below.

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.

Recommended courses

Choose at least 35 ECTS among the following courses:
 

02266 User Experience Engineering 5 point January
02282 Algorithms for Massive Data Sets 7.5 point Spring F1A (Mon 8-12)
02456 Deep learning 5 point Autumn E2A (Mon 13-17)
02458 Cognitive Modelling 5 point Autumn E2B (Thurs 8-12)
02476 Machine Learning Operations 5 point January
02805 Social graphs and interactions 10 point Autumn E5 (Wed 8-17)
02806 Social data analysis and visualization 5 point Spring F3A (Tues 8-12)
02807 Computational Tools for Data Science 5 point E7 (Tues 18-22)
02808 Personal Data Interaction for Mobile and Wearables 10 point Spring F5 (Wed 8-17)
02830 Advanced Project in Digital Media Engineering 10 point Autumn E5B (Wed 13-17)
38110 Staging co-creation and creativity 5 point Autumn E1B (Thurs 13-17)

Addititional relevant courses

Although not part of the requirements for the specialization, the following courses may also be relevant for the student:

02582 Computational Data Analysis 5 point Spring F2B (Thurs 8-12)
02613 Python and High-Performance Computing 5 point Spring F5A (Wed 8-12)
02614 High-Performance Computing 5 point January