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NCFE Level 4 Unit 01 Legislation and Security Standards Applied to Data Analytics (A/651/0924) Assignment Brief 2026
| University | Northern Council for Further Education (NCFE) |
| Subject | Unit 01 Legislation and Security Standards Applied to Data Analytics (A/651/0924) |
NCFE Level 4 Unit 06 Assignment Brief 2026
| Qualification | NCFE Level 4 Diploma: Data Analyst (603/7751/3) |
| Unit Reference Code | A/651/0924 |
| Unit Title | Legislation and security standards applied to data analytics |
| Unit Number | 01 |
| Unit Level | 4 |
Unit Summary
This unit emphasises the importance of exploring key features of relevant legislation, security standards and organisational policies and procedures to understand their influence on safe data usage and data management activities.
Learning Outcomes
| Learning outcomes (LOs) | Mandatory teaching content |
| 1. Explore relevant legislation and their influence on the safe use
of data
|
Knowledge:
Relevant legislation:
|
| 2. Investigate the impact of relevant security standards, security frameworks and organisational policies and procedures on data management activities | Knowledge:
Organisational policies and procedures relevant to data management activities:
Data management activities:
Principles of privacy by design:
|
| Learning outcomes (LOs) | Mandatory teaching content |
| 3. Examine ethical data principles and the role of artificial intelligence (AI) in the collation and utilisation of data | Knowledge:
Ethical responsibilities within the role of data analytics The use of AI in the collation and utilisation of data:
|
| 4. Demonstrate effective use and compliance of data systems when securely collating and utilising data | Skills:
Use of:
|
Grading Criteria
| Learning outcomes (LOs) | Pass | Merit | Distinction |
| LO1: Explore relevant legislation and their influence on the safe use of data
|
P1: Describe the key features of relevant regulatory requirements in relation to the role of a data analyst | M1: Consider a range of relevant legislation and clearly explain the impact each of these have on both the organisation and the data analysts
|
D1: Critically evaluate the use of policies and procedures to ensure compliance with a wide
range of legal requirements, security standards and security frameworks
|
| P2: Explain the importance of complying with legislation and the impact of noncompliance | |||
| LO2: Investigate the impact of relevant security standards, security frameworks and organisational policies and procedures
on data management activities
|
P3: Define relevant security standards and security frameworks related to data management activities | M2: Explore the impact of organisational policies and procedures
within a security framework that supports compliance |
D2: Assess the impact on data management and propose innovative solutions for any security gaps |
| P4: Outline policies and procedures used by an organisation to ensure compliance with standards and frameworks | |||
| LO3: Examine ethical data principles and the
role of AI in the collation and utilisation of data |
P5: Describe the value of applying ethical data principles when handling data
|
M3: Determine the effectiveness of applying ethical data principles and the consequences of not applying these principles | D3: Critically evaluate common ethical data principles to address the challenges and ethical considerations in the context of AI and data analysis, and elaborate on how common data principles can be applied
|
| LO4: Demonstrate effective use and compliance of data
systems when securely collating and utilising data |
P6: Collect and use data for an analysis activity whilst adhering to legal and organisational
requirements
|
M4: Assess examples of how legal and organisational requirements have been met whilst undertaking a data analysis task |
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