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) |
| 02614 | High-Performance Computing | 5 | point | January |