Executive Development Programme in Classification & Future of Work

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The Executive Development Programme in Classification & Future of Work is a certificate course designed to prepare professionals for the evolving work landscape. This programme emphasizes the importance of understanding classification systems and how they relate to the future of work, a highly relevant topic in today's rapidly changing business environment.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the rise of automation, artificial intelligence, and the gig economy, it is crucial for organizations to adapt and for individuals to develop the necessary skills to thrive in this new world of work. This course provides learners with essential skills such as strategic foresight, complex problem-solving, and the ability to lead and manage in a rapidly changing environment. By completing this programme, learners will be equipped with the knowledge and skills to drive innovation, improve organizational effectiveness, and advance their careers in a variety of industries. The course is in high demand, as organizations seek to stay ahead of the curve and prepare for the future of work.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Understanding Classification of Work
โ€ข The Evolution of Work: A Historical Perspective
โ€ข Current Trends in Work Classification
โ€ข The Role of Technology in the Changing Work Landscape
โ€ข The Gig Economy and its Impact on Work Classification
โ€ข The Rise of Remote Work and its Implications
โ€ข The Future of Work: Predictions and Recommendations
โ€ข Developing a Framework for Classifying Future Work
โ€ข Case Studies on Modern Work Classification
โ€ข Leadership Strategies for Navigating the Future of Work

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The Executive Development Programme in Classification & Future of Work focuses on the most in-demand roles in the UK market. Our 3D pie chart illustrates the percentage of each role in the industry, covering job market trends, salary ranges, and skill demand. 1. Data Scientist: This role is essential in harnessing the power of big data and using it to drive business growth. The average salary for a Data Scientist in the UK is around ยฃ50,000 per year. 2. Machine Learning Engineer: Machine Learning Engineers are responsible for designing, implementing, and evaluating machine learning systems and algorithms. The average salary is approximately ยฃ60,000 per year. 3. Full Stack Developer: Full Stack Developers handle both front-end and back-end development tasks, ensuring seamless integration and functionality. They earn an average of ยฃ45,000 per year in the UK. 4. Business Intelligence Developer: These professionals develop and maintain business intelligence systems to help organizations make data-driven decisions. The average salary is around ยฃ42,000 per year. 5. DevOps Engineer: DevOps Engineers focus on improving communication and collaboration between software developers and IT professionals. They earn an average of ยฃ60,000 per year in the UK. 6. Product Manager: Product Managers are responsible for guiding the success of a product and leading the cross-functional team that is responsible for improving it. The average salary is approximately ยฃ55,000 per year.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN CLASSIFICATION & FUTURE OF WORK
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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