SUOMEKSI Study guide
Curricula > Master's degree programmes > Master’s degree programme in engineering, from iot to ai > Master of engineering, from iot to ai 22s, online studies
Master's Degree Programmes

Master of Engineering, from IoT to AI 22S, online studies

2022

Classification
Select visible years, semesters and periods (when only one year is selected) by clicking buttons below. (S = Spring, A = Autumn)
Year of study 1 2
Search: ECTS 1 2 1A 1S 2A 2S 1 2 3 4 5 6 1 2 3 4 5 6
Core competence
                                   
IoT 5
 
     
                 
Machine Learning 5
   
         
           
Data Analyzation and Visualization 5
 
     
                 
Introduction to artificial intelligence 5
   
         
           
2001010003.33.33.33.33.33.3000000
Complementary competence
(Select 10 ECTS)
                                   
Virtualization and servers as data pipeline tools 5
 
     
                 
Gamification 5
   
         
           
Lean-Thinking in Developing Operations 5                                    
Research-Based Development 5                                    
GIS as a Tool 5                                    
10055001.71.71.71.71.71.7000000
Thesis
                                   
Thesis Planning 10
 
     
                 
Thesis Project and Reporting 20
   
         
           
3001020003.333.333.336.676.676.67000000
ECTS credits per period / semester / academic year 300151500555555000000

Studies of syllabus is planned so 60 credits are studied in academic year. Planned syllabus may change during studies.

Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.