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 : University Study Skills
  • Period : I
  • Credits : 1
  • Level : Beginner
  • Offered by : UEF

• Course : Client-Oriented Social and Health Care Services
  • Period : I-IV
  • Credits : 5
  • Level : Beginner
  • Offered by : Savonia

• Course : Introduction to R
  • Period : I-IV
  • Credits : 2
  • Level : Beginner
  • Offered by : UEF

• Course : EMC: Webinars in Medical Computing
  • Period : I-IV
  • Credits : 5
  • Level : Beginner
  • Offered by : EMC program

• Course : Internship (incl. final report)
  • Period : III-IV
  • Credits : 30
  • Level : Beginner – Advanced
  • Offered by : 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 : Medical Device Approval Process (includes Fundamentals of Medical Device Approval Process)
  • Period : I
  • Credits : 5
  • Level : Intermediate
  • Offered by : UEF

• Course : Being an Agile Leader
  • Period : I-IV
  • Credits : 5
  • Level : Intermediate
  • Offered by : Savonia

• Course : Big Data and IoT for Digital Health
  • Period : I-IV
  • Credits : 5
  • Level : Intermediate
  • Offered by : Savonia

• Course : Business Intelligence (BI)
  • Period : I-IV
  • Credits : 5
  • Level : Beginner
  • Offered by : Savonia

• Course : Data Preprocessing and Analysis
  • Period : I-IV
  • Credits : 5
  • Level : Intermediate
  • Offered by : Savonia

• Course : Introduction to Python
  • Period : I-IV
  • Credits : 5
  • Level : Beginner
  • Offered by : UEF

• Course : Leadership, Management and Innovations in Business Development
  • Period : I-IV
  • Credits : 5
  • Level : Beginner
  • Offered by : Savonia

• Course : Medical Imaging and Digital Image Processing
  • Period : I-IV
  • Credits : 5
  • Level : Intermediate
  • Offered by : Savonia

• Course : EMC: Perspectives in Medical Computing
  • Period : I-IV
  • Credits : 1
  • Level : Beginner
  • Offered by : EMC program

• Course : User-Centered Design
  • Period : I-IV
  • Credits : 5
  • Level : Beginner
  • Offered by : UEF

• Course : Advanced Deep Learning
  • Period : II
  • Credits : 5
  • Level : Advanced
  • Offered by : UEF

• Course : Advanced Spectral Imaging
  • Period : II
  • Credits : 4
  • Level : Advanced
  • Offered by : UEF

• Course : Eye-Tracking
  • Period : II
  • Credits : 5
  • Level : Intermediate
  • Offered by : UEF

• Course : Introduction to Extended Reality (XR) and Virtual Technologies
  • Period : II-IV
  • Credits : 5
  • Level : Beginner
  • Offered by : Savonia

• Course : Advanced Course in Human-Computer Interaction
  • Period : III
  • Credits : 5
  • Level : Intermediate
  • Offered by : UEF

• Course : Machine Vision
  • Period : III
  • Credits : 5
  • Level : Advanced
  • Offered by : UEF

• Course : Machine Learning for Speech
  • Period : IV
  • Credits : 5
  • Level : Advanced
  • Offered by : UEF

• Course : Social Network Analysis
  • Period : IV
  • Credits : 5
  • Level : Intermediate
  • Offered by : UEF