Introduction of joint short-cycle ICT courses for better employability of students and graduates

The primary objective of this project was to effectively respond to the continuously increasing demand for additional data science and artificial intelligence (AI) competencies in professional fie...

The first objective of the project was to determine the knowledge gap of current or recent graduates of the fields that are not traditionally connected to the data science and artificial intelligence - such as medicine, economics or engineering, in regards to that area. Then, the second objective was to create a set of classes, to be integrated into a short-cycle course that will serve to directly address the determined knowledge gaps. The course was designed as a short-cycle course split into mandatory and elective parts. Allowing the participants to cover what were determined as basic, fundamental knowledge points, in the field of data science and artificial intelligence and then select additional courses to address their specific upskilling needs - whether it is additional knowledge in fundamental structures of data science and artificial intelligence (such as mathematics, big data), or domain specific knowledge that may be helpful for them personally.