ATHE
Level 5
QN: 610/6118/9
Curriculum Active
ATHE Level 5 Extended Diploma in Computing and Artificial Intelligence
Official qualification regulated by Ofqual, awarded by ATHE. Classified as a Vocationally-Related Qualification. Total guided learning hours: 540 hours.
Qualification Level
Level 5
Awarding Body
ATHE
Syllabus Units
9 Units
Guided Hours
540 hrs
Instant access to interactive lessons, quizzes, and spaced revision.
Course Syllabus & Study Modules
Complete breakdown of verified curriculum topics and learning objectives.
1
Advanced Database Practice
Verified
Key Learning Objectives:
- Understand advanced relational database concepts
- Understand and carry out definition and manipulation of database objects
- Understand the structure and function of database objects
2
Advanced Project
Verified
Key Learning Objectives:
- Understand the tools and techniques of IT project management
- Understand risk and risk mitigation in relation to IT projects
- Understand how and why projects are reviewed and how learning from project reviews is embedded into future practice
3
Advanced Statistics for Data Science
Verified
Key Learning Objectives:
- Understand ways to evaluate the performance of algorithmic models
- Understand statistical prediction and regression
- Understand and apply traditional statistical machine learning algorithms
4
Computing Projects for Digital Transformation
Verified
Key Learning Objectives:
- Understand opportunities and drivers for digital transformation
- Understand risks associated with digital transformation
- Understand how risks associated with digital transformation are mitigated
5
Foundations of Artificial Intelligence for Data and Language
Verified
Key Learning Objectives:
- Understand how machines learn from data
- Understand text mining algorithms
- Understand the challenges of implementing Generative AI Models
6
Information Systems
Verified
Key Learning Objectives:
- Understand different types of information systems that are used in an organisation
- Understand the principal uses, advantages and disadvantages of information systems
- Understand how organisations use information systems to support strategic and operational decisions
7
Machine Learning in Practice: Structure, Strategy, and Evaluation
Verified
Key Learning Objectives:
- Understand classification and prediction algorithms
- Understand multi-layer perceptron classifiers (aka. neural networks)
- Understand genetic algorithms
8
Professional Development and Business Communication
Verified
Key Learning Objectives:
- Understand the role of Continuous Professional Development (CPD) in the professional development of IT practitioners
- Understand the factors that contribute to different types of communication and the reputational impact of good business communication
- Understand how to communicate at a level that is appropriate to the target audience, particularly with senior management
- Understand how barriers to communication can be overcome to support users as customers
9
Programming for Data Engineering
Verified
Key Learning Objectives:
- Understand tools and languages used for data engineering
- Understand data loading and manipulation techniques
- Understand data visualisation functions
Regulatory & Verification Details
- Qualification Number (QN)
- 610/6118/9
- Regulated Status
- Available to learners
- Awarding Body
- ATHE
- Qualification Type
- Vocationally-Related Qualification
- Operational Start
- Aug 2025