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Curriculum Updates
The demands of delivering modern-day public services mean that civil servants are continually asked to work in different ways, incorporating new ideas, approaches and technologies. It’s therefore vital that the training we make available to all civil servants also continues to evolve.
That’s why we’re constantly working with our consortium partners to extend and refine our training offer. As new demands are made of civil servants and their departments, we’ll keep deploying new courses and programmes to help develop the skills needed to meet those emerging demands.
New Digital and Data courses now available
Governments around the world are shifting towards a more data-driven approach, recognising that sharing data both within and among departments can significantly enhance efficiency and public service. However, common challenges and misconceptions about data sharing can cause reluctance. There's now a growing effort to boost data awareness among staff responsible for data management, emphasising the crucial role they play in ensuring the quality and utility of data. To support this, new courses digital and data courses have recently been added to the curriculum.
What's new?
Cross Civil Service learning
To stay ahead in this fast-paced world, civil servants must keep up with the latest knowledge and skills. The cross Civil Service curriculum encompasses a range of learning, all contextualised to reflect the particular requirements of working in the the Civil Service. Here are the new and refreshed courses developed to help all civil servants (from AA to SCS) improve their skills and capabilities. Click on the course to find out more.
Off the shelf learning
Strand 3 – Leading and Managing
Leading Teams and Organisations
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Wellbeing Confident Leaders (3 hours)
Strand 4 – Specialist Skills
Machine Learning
CIPS
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CIPS Advanced Diploma - Qualification Level 6 (600 hours)
Data Science
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Data Ethics Professionals (60 hours)
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Strategic Data Skills (50 hours)
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Introduction to Data Ethics (3 hours)
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Open Data in a Day (7 hours)
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Publishing Open Linked Data (16 hours)
Data Analysis and Modelling
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Organising and Validating Data (3.5 hours)
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An Introduction to Data Analysis (3.5 hours)
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Telling Stories with Data (3 hours)
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Ethics in Data Collection (2.5 hours)
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Bias and Fairness in Data and AI (3 hours)
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Building a Healthy Data Ecosystem (2.5 hours)
Evidence and Analysis
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The Foundations of Ethical Decision Making (1.5 hours)
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Legal and Regulatory Frameworks (2 hours)
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Ethics and Personal Data (2 hours)
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Transparency and Explainability in Data (2 hours)
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Understanding Data Ethics and AI (15 hours)
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