Category
Computing & AI
Level
Level 4
Qualification Number
610/3264/5
Total Credits
120
Course Overview
The ATHE Level 4 Extended Diploma in Computing (Data Analyst) (2023) is a comprehensive qualification designed to equip learners with the foundational knowledge and skills required to pursue a career in data analysis within the computing industry. This qualification covers a range of key topics including data handling, software development, database design, and data analysis techniques. It integrates theoretical learning with practical applications, providing students with the opportunity to develop critical thinking and problem-solving skills. The curriculum is structured to not only introduce the concepts of computing and data analysis but also to delve into advanced topics such as big data management, the use of statistical tools, and data visualization techniques. This diploma aims to prepare learners for further studies or direct entry into the computing industry, particularly in roles focused on data analysis and data management.
The minimum entry requirements for the ATHE Level 4 Extended Diploma in Computing (Data Analyst) (2023) typically include a completion of secondary education or equivalent, with a strong emphasis on subjects such as mathematics, IT, or science. Prospective students should have a good level of English proficiency, as coursework and assessments are conducted in English. Some institutions may also require specific grades or marks in related subjects or previous qualifications in computing or related fields.
| Details | Unit Aims |
|---|---|
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IT Systems Development
Credits: 15
Mandatory: Yes
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Programming and Scripting
Credits: 10
Mandatory: Yes
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Data and Database Systems
Credits: 15
Mandatory: Yes
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Computer Systems Networks and Security
Credits: 10
Mandatory: Yes
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Legislation, Regulation, Ethics and Codes of Practice
Credits: 10
Mandatory: Yes
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Organisational Data Architecture
Credits: 10
Mandatory: Yes
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Methods and Tools for Analysis
Credits: 10
Mandatory: Yes
|
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Data Preparation and Quality Risks
Credits: 10
Mandatory: Yes
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Statistics for Analysing Datasets
Credits: 10
Mandatory: Yes
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Analytical Impact through Data Visualisations
Credits: 10
Mandatory: Yes
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Synoptic Computing Project
Credits: 10
Mandatory: Yes
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