In January 2025, I started attending a Master of Science in Applied Artificial Intelligence at the International University of Applied Sciences, Germany.
The intention to pursue this degree is part of the process of developing skills related to machine learning and artificial intelligence, in line with the company's educational growth strategies. Additionally, it aims to complete the cycle of studies, which is currently limited to a bachelor's degree, while gaining recognized international academic experience. This course was specifically chosen to balance a full-time work career with obtaining an officially recognized academic degree, focusing on career advancement rather than beginning a traditional academic path.
Admission to the M. Sc. (EQF level 7, 60 ECTS) was granted based on the previously obtained academic degree and the professional experience acquired, which compensates for the remaining 60 credits.
Participation in the master's program was preceded by personal study in areas such as calculus, linear algebra, advanced statistics, and machine learning, partially documented on this site.
The educational goal of the Master's program is to combine technical and practical skills with management and discernment abilities at the managerial level, in the field of solutions and commercial applications of technologies using artificial intelligence algorithms.
Coursework Progress
Completed Exams:
- Machine Learning
- Deep Learning
- Inference & Causality
Planned by End of Year:
- Reinforcement Learning
- First Elective Course
