Study plan for MIND
Study plan for Master's degree in Machine Intelligence and Data Science with awarded qualification Master of Engineering (60 ECTS).
Structure of studies
Please note that Arcada UAS has the right to change names of courses listed in each module below or replace courses within modules.
Professional Studies (30 ECTS)
The professional studies gives the student a core knowledge module (30 ects), focusing on the different areas within data science and machine intelligence.
All courses are taught entirely in English.
Specialized Professional Studies (30 ECTS)
Core courses in the Data Science Module
| Introduction to Machine Learning and Data-driven design | 5 |
| Machine Learning and Data Mining | 5 |
| Visualization and Narration with Data | 5 |
Core courses in the Machine Intelligence Module
| Cloud Computing and Data Engineering | 5 |
| Deep Learning and Foundation Models | 5 |
| AI-assisted Analytical Service Design | 5 |
Specialized Research Studies (30 ECTS)
Core competences
Upon completion of this module you can define, choose, argue for and adapt specialised concepts, methods and data related to your specialised knowledge about your own area. You can adapt and use them as the basis for your own individual thinking and/or research. You can independently solve demanding problems in a creative way within research and/or innovative operations and thereby develop new knowledge and ways of working. 30 You can apply and integrate knowledge from different areas. You can argue for and follow ethical principles in research.
The study module consists of the following studies
| Research Seminar and Thesis | 30 |