The survey found out what the structural changes in employment are like and how they influence the training needs for specialists with different levels of education in the curriculums of mechanical engineering and metalwork, electrical engineering and energy engineering, electronics and automation, civil and construction engineering.
Based on the general aims of the project, the following goals were set:
- mapping the training needs of the labour force due to using the resources of EU’s structure funds, and figuring out how to develop the curriculums on different levels of education: vocational education, professional higher education and academic higher education.
- making suggestions on how to develop the methodology of planning state funding and applying the international classifications.
Based on the prognosis, it can be generalized that by fields, the labour demand for employees with higher education increases the most, regardless of the training field. By fields, the growth of demand is the fastest in electronics and automation, and in civil and construction engineering.
This survey consists of four parts:
- The first part gives an overview of the general directions of employment in economic sectors, where those who have graduated from the aforementioned fields could presumably work. It also views the prognoses for the aforementioned economic sectors, which are done by competent state agencies.
- The second part deals with the labour supply by training fields and levels of education, analysing the amount of people who were admitted, who study and who have graduated. There is also a short overview of labour supply comparison with other OECD countries.
- The third part views how those, who studied based on the curriculums of the aforementioned fields, get by in the job market. It is done by checking in which sectors do those, who have graduated from those specific fields, work. They are also analysed by the rate of labour force participation and unemployment.
- Using the data of the Estonian Labour Force Survey (ETU), the fourth part analyses the labour market supply and demand, and compiles a corresponding prediction model which shows the training needs on different levels of education.