Course Selection
The course selection of the class 2021-2022 is presented below. When reading the table, please keep the following in mind:
- Both the obligatory courses and the elective Savonia courses are linked to the study portals used for the convenience of the active students. The links of the other elective courses lead to their detailed content and schedule descriptions. The similar descriptions for the Savonia courses can be found here.
- The academic calendar including study periods can be found here.
- Regarding the credits, it is estimated that 1 ECTS corresponds to 27 hours of work.
Obligatory Courses
Obligatory theoretical courses take up 13 ECTS of the studies. These courses include topics like general study skills and basics in programming. Practical skills are gained by completing an internship in an EMC-field-related position. The students will receive 30 ECTS from the internship and the report regarding it.
| Course | Period | Credits | Level | Offered by |
| University Study Skills | I | 1 | Beginner | UEF |
| Client-Oriented Social and Health Care Services | I-IV | 5 | Beginner | Savonia |
| Introduction to R | I-IV | 2 | Beginner | UEF |
| EMC: Webinars in Medical Computing | I-IV | 5 | Beginner | EMC program |
| Internship (incl. final report) | III-IV | 30 | Beginner – Advanced | EMC program |
Elective Courses (Choose for 17 ECTS)
The purpose of the elective courses is to deepen the students’ medical computing know-how. The students should select 17 ECTS from the list below based on their interests and employment needs.
| Course | Period | Credits | Level | Offered by |
| Medical Device Approval Process (includes Fundamentals of Medical Device Approval Process) | I | 5 | Intermediate | UEF |
| Being an Agile Leader | I-IV | 5 | Intermediate | Savonia |
| Big Data and IoT for Digital Health | I-IV | 5 | Intermediate | Savonia |
| Business Intelligence (BI) | I-IV | 5 | Beginner | Savonia |
| Data Preprocessing and Analysis | I-IV | 5 | Intermediate | Savonia |
| Introduction to Python | I-IV | 5 | Beginner | UEF |
| Leadership, Management and Innovations in Business Development | I-IV | 5 | Beginner | Savonia |
| Medical Imaging and Digital Image Processing | I-IV | 5 | Intermediate | Savonia |
| EMC: Perspectives in Medical Computing | I-IV | 1 | Beginner | EMC program |
| User-Centered Design | I-IV | 5 | Beginner | UEF |
| Advanced Deep Learning | II | 5 | Advanced | UEF |
| Advanced Spectral Imaging | II | 4 | Advanced | UEF |
| Eye-Tracking | II | 5 | Intermediate | UEF |
| Introduction to Extended Reality (XR) and Virtual Technologies | II-IV | 5 | Beginner | Savonia |
| Advanced Course in Human-Computer Interaction | III | 5 | Intermediate | UEF |
| Machine Vision | III | 5 | Advanced | UEF |
| Machine Learning for Speech | IV | 5 | Advanced | UEF |
| Social Network Analysis | IV | 5 | Intermediate | UEF |
