Data-driven Healthcare
The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se.
The course is broken down into four parts:
- Part 1: Healthcare data understanding and ethics
- Part 2: Data preparation and visualization
- Part 3:Applying classification techniques in healthcare datasets
- Part 4: Practical examples in healthcare with Python
Level:
Advanced level
Application code:
23805
Entry requirements:
Degree of Bachelor in Computer science or Degree of Bachelor of Science in Engineering or the equivalent of 180 Swedish credit points or 180 ECTS credits at an accredited university. Programming 7.5 credits, and Machine Learning 5 credits or equivalent. English 6. Exemption of the requirement in Swedish is granted.
Selection rules:
Credits: 100%
Start week:
week: 04
Number of gatherings:
0
Instructional time:
Various times
Tuition fee:
Language of instruction:
Teaching is in English.
Level:
Advanced level
Application code:
20805
Entry requirements:
Degree of Bachelor in Computer science or Degree of Bachelor of Science in Engineering or the equivalent of 180 Swedish credit points or 180 ECTS credits at an accredited university. Programming 7.5 credits, and Machine Learning 5 credits or equivalent. English 6. Exemption of the requirement in Swedish is granted.
Selection rules:
Credits: 100%
Start week:
week: 03
Number of gatherings:
0
Instructional time:
Various times
Tuition fee:
Language of instruction:
Teaching is in English.
