ATHE
Level 7
QN: 610/6486/5
Curriculum Active
ATHE Level 7 Extended Diploma in Computing
Official qualification regulated by Ofqual, awarded by ATHE. Classified as a Vocationally-Related Qualification. Total guided learning hours: 1250 hours.
Qualification Level
Level 7
Awarding Body
ATHE
Syllabus Units
18 Units
Guided Hours
1250 hrs
Instant access to interactive lessons, quizzes, and spaced revision.
Course Syllabus & Study Modules
Complete breakdown of verified curriculum topics and learning objectives.
1
Agile Transformation
Verified
Key Learning Objectives:
- Understand the features of agile working
- Understand agile transformation in a business environment
- Understand the use of an agile transformation strategy and the importance of continuous change and improvement
2
Applications of Machine Learning and Artificial Intelligence
Verified
Key Learning Objectives:
- Understand statistical analysis and learning algorithms
- Understand the common methods used in machine learning and artificial intelligence
- Understand the tools used to support machine learning and artificial intelligence
- Understand the software systems used to support machine learning and artificial intelligence
- Understand the organisational processes used to support machine learning and artificial intelligence
3
Business Intelligence Systems
Verified
Key Learning Objectives:
- Understand the characteristics of business intelligence systems
- Understand the organisational need for business intelligence systems
- Understand how business intelligence systems play a key strategic role in organisations
- Can use business intelligence software
4
Computer-Based Research Methods
Verified
Key Learning Objectives:
- Understand the use of computer-based research methods
- Understand the components of research
- Can prepare for a computer-based research project
- Can carry out an independent computer-based research project
5
Cyber Security Operations: Threat Analysis, Testing, and Incident Response
Verified
Key Learning Objectives:
- Can design and conduct security testing to evaluate the resilience of systems, middleware, and applications
- explain and justify security architectures and incident response strategies using secure-by-design principles to strengthen digital resilience
- Can apply advanced forensic tools and methods to analyse cyber-attacks, attacker techniques, and recommend improvements to organisational security
6
Data Analysis and Big Data
Verified
Key Learning Objectives:
- Understand the fundamentals of big data
- Understand the storage and security of big data
- Understand the characteristics of data analysis and be able to present information from large data sets
7
Designing Mobile and Software Applications for Application Security
Verified
Key Learning Objectives:
- Understand the principles of secure application software development
- Can design a secure mobile application
- Can deploy and test a secure mobile application
8
Enterprise Resources Planning Systems (ERP Systems)
Verified
Key Learning Objectives:
- Understand the characteristics of Enterprise Resource Planning (ERP) systems and the legislative, regulatory and ethical environment in which they are used
- Understand organisational benefits of Enterprise Resource Planning (ERP) systems
- Can plan the implementation of Enterprise Resource Planning (ERP) systems ensuring that legislation, regulation, ethics and codes of conduct are considered
9
Independent Project
Verified
Key Learning Objectives:
- Can select and plan an ICT project
- Can lead requirements gathering and design a solution to a problem/process
- Can manage and complete an ICT project
- Can test a solution
- Can evaluate their solution and their own practice
10
Managing and Implementing Information Security
Verified
Key Learning Objectives:
- Understand the principles of information security
- Understand information security protection and threat detection methods
- Understand information security testing
- Can manage information security in an organisation
- Understand how to manage a cyber-attack
11
Managing Innovation and Change in Computing
Verified
Key Learning Objectives:
- Understand technological innovation and process change management in computing
- Understand how to lead innovation and change
- Understand the psychology of change, resistance and how to influence change
- Understand the wider business context of computing changes
12
Mobile Application Development
Verified
Key Learning Objectives:
- Understand mobile application development
- Can design a mobile application
- Can use mobile applications development environments to create and test a mobile application
13
Networking and Infrastructure Development
Verified
Key Learning Objectives:
- Understand the features of net
- work infrastructures
- Understand wireless net
- Understand how to support and maintain a net
- work infrastructure
14
Organisations, Technology and AI
Verified
Key Learning Objectives:
- Understand the role of IT systems in the successful operation of organisations
- Understand the organisational imperative for the proactive implementation of systems security
- Understand the importance of user awareness
- Understand functions of artificial intelligence and the role of AI in collaborative working
- Understand concerns relating to the use of artificial intelligence
15
Practical Analytics for Data Science
Verified
Key Learning Objectives:
- Understand the sources, formats and quality of business data
- Understand the process of statistical knowledge discovery
- Understand how statistics and visualisations are used to understand data
- Understand statistical methods and machine learning techniques
16
Professional Solutions Architect
Verified
Key Learning Objectives:
- Understand the development life cycle of a system and how solutions development is impacted by the choices made
- Understand the activities and responsibilities of the solutions architect and the key knowledge and behaviours needed to develop achievable requirements
- Understand the considerations needed when planning an IT solution
17
Security, Privacy and Ethical Concerns in Big Data and Artificial Intelligence
Verified
Key Learning Objectives:
- Understand the threats to security that apply to Big Data and AI
- Understand the threats to the privacy of individuals that Big Data and AI impose
- Understand the ethical concerns around the use of Big Data and AI
18
Software Development for User Experience
Verified
Key Learning Objectives:
- Understand the systems development cycle
- Understand software product construction, implementation and testing
- Can design a systems prototype
- Can develop, test and review a systems prototype
Regulatory & Verification Details
- Qualification Number (QN)
- 610/6486/5
- Regulated Status
- Available to learners
- Awarding Body
- ATHE
- Qualification Type
- Vocationally-Related Qualification
- Operational Start
- Oct 2025