Menu
JobsPikr’s data on labor market insights can be used to design coursework aligned with industry trends. This can be particularly beneficial for educational institutions that aim to prepare students for the current and future job market.
Universities offering degrees in engineering, business, management, etc. can use JobsPikr to identify high-demand skills and tailor coursework appropriately to focus on these skills. This ensures that graduates have the knowledge and expertise most relevant to their current industry needs and are set up for success as they begin their careers.
Analyze highly sought-after skills for specific industries to ensure that the coursework is updated to prepare students for relevant jobs.
Students uncertain of career options can be provided with a defined career path and future opportunities by matching skills and interests with job opportunities. This exercise can be performed for various roles through market data analysis to help students with their decision-making process.
Track the changing requirements of the job market to update curriculums based on future scope and outdated knowledge.
Create partnerships with leading organizations based on hiring activity for better student placement opportunities.
Identify in-demand skills to provide students with hands-on experience and real-world skills by incorporating internships (through partnerships), projects, and other practical experiences into coursework.
Inculcate the habit of lifelong learning by providing continuing education and professional development opportunities to alumni to keep their skills up-to-date and in line with industry demands.
To know more about our product or schedule a demo, please get in touch with us.
Labor market analytics is the future as we keep pace with the change in the job market. JobsPikr is an AI-enabled talent intelligence platform for workforce planning, talent mapping, and labor market insights. Contact us to learn more about what we do and how labor insights can help you make better business decisions using machine learning technologies.
