Category

Computing & AI

Level

Level 7

Qualification Number

610/6486/5

Total Credits

120

Course Overview

The Level 7 Extended Diploma in Computing (120-credit) offers a complete, more diverse computing experience, giving learners both generic, business-related breadth and specific, technical pathway depth.

Learners are required to study a mandatory core of business-related IT development and management themes and issues and then can build on this through options which either offer a deep dive into a specific computing pathway or the scope to choose a bespoke range of units pertinent to the learner’s own professional development/interests.

Grading
ATHE Level 7 Extended Diploma in Computing (120 credits)
Pass 360 – 431
Merit 432 – 539
Distinction 540

Advanced learner loans available in the UK – to check if funding is available see the latest Qualification Catalogue here.
For the progression routes visit our progression routes page.

Delivery Mode
This qualification can be delivered either in the classroom, via distance learning or blended.

Typical Age

This qualification are designed for learners who are typically aged 19+

Qualifications

For learners who have recently been in education or training the entry profile is likely to include:

A first degree in Computing/IT or a relevant Level 6 qualification
Other equivalent international qualifications
Language

For those whom English is not their first language we recommend the following standards of proficiency in English language skills or an approved equivalent for this qualification:

IELTs 5.5
Common European Framework of Reference (CEFR) B2
Cambridge English Advanced (CAE) 162 or above
Pearson Test of English (PTE) Academic 42-49

Details Unit Aims
Managing Innovation and Change in Computing
Credits: 20
Mandatory: Yes
  1. Understand technological innovation and process change management in computing
  2. Understand how to lead innovation and change
  3. Understand the psychology of change, resistance and how to influence change
  4. Understand the wider business context of c
Professional Solutions Architect
Credits: 10
Mandatory: Yes
  1. Understand the development life cycle of a system and how solutions development is impacted by the choices made
  2. Understand the activities and responsibilities of the solutions architect and the key knowledge and behaviours needed to develop achievab
Organisations, Technology and AI
Credits: 20
Mandatory: Yes
  1. Understand the role of IT systems in the successful operation of organisations
  2. Understand the organisational imperative for the proactive implementation of systems security
  3. Understand the importance of user awareness
  4. Understand functions of
Computer-Based Research Methods
Credits: 10
Mandatory: Yes
  1. Understand the use of computer-based research methods
  2. Understand the components of research
  3. Can prepare for a computer-based research project
  4. Can carry out an independent computer-based research project
Business Intelligence Systems
Credits: 20
Mandatory: Yes
  1. Understand the characteristics of business intelligence systems
  2. Understand the organisational need for business intelligence systems
  3. Understand how business intelligence systems play a key strategic role in organisations
  4. Can use business int
Agile Transformation
Credits: 10
Mandatory: Yes
  1. Understand the features of agile working
  2. Understand agile transformation in a business environment
  3. Understand the use of an agile transformation strategy and the importance of continuous change and improvement
Enterprise Resources Planning Systems (ERP Systems)
Credits: 10
Mandatory: Yes
  1. Understand the characteristics of Enterprise Resource Planning (ERP) systems and the legislative, regulatory and ethical environment in which they are used
  2. Understand organisational benefits of Enterprise Resource Planning (ERP) systems
  3. Can pl
Software Development for User Experience
Credits: 20
Mandatory: Yes
  1. Understand the systems development cycle
  2. Understand software product construction, implementation and testing
  3. Can design a systems prototype
  4. Can develop, test and review a systems prototype
Mobile Application Development
Credits: 10
Mandatory: Yes
  1. Understand mobile application development
  2. Can design a mobile application
  3. Can use mobile applications development environments to create and test a mobile application
Designing Mobile and Software Applications for Application Security
Credits: 10
Mandatory: Yes
  1. Understand the principles of secure application software development
  2. Can design a secure mobile application
  3. Can deploy and test a secure mobile application
Networking and Infrastructure Development
Credits: 10
Mandatory: Yes
  1. Understand the features of network infrastructures
  2. Understand wireless network infrastructures
  3. Understand how to support and maintain a network infrastructure
Managing and Implementing Information Security
Credits: 20
Mandatory: Yes
  1. Understand the principles of information security
  2. Understand information security protection and threat detection methods
  3. Understand information security testing
  4. Can manage information security in an organisation
  5. Understand how to manage a
Cyber Security Operations: Threat Analysis, Testing, and Incident Response
Credits: 10
Mandatory: Yes
  1. Can design and conduct security testing to evaluate the resilience of systems, middleware, and applications
  2. Can develop, explain and justify security architectures and incident response strategies using secure-by-design principles to strengthen digi
Data Analysis and Big Data
Credits: 10
Mandatory: Yes
  1. Understand the fundamentals of big data
  2. Understand the storage and security of big data
  3. Understand the characteristics of data analysis and be able to present information from large data sets
Practical Analytics for Data Science
Credits: 10
Mandatory: Yes
  1. Understand the sources, formats and quality of business data
  2. Understand the process of statistical knowledge discovery
  3. Understand how statistics and visualisations are used to understand data
  4. Understand statistical methods and machine learning
Security, Privacy and Ethical Concerns in Big Data and Artificial Intelligence
Credits: 10
Mandatory: Yes
  1. Understand the threats to security that apply to Big Data and AI
  2. Understand the threats to the privacy of individuals that Big Data and AI impose
  3. Understand the ethical concerns around the use of Big Data and AI
Applications of Machine Learning and Artificial Intelligence
Credits: 20
Mandatory: Yes
  1. Understand statistical analysis and learning algorithms
  2. Understand the common methods used in machine learning and artificial intelligence
  3. Understand the tools used to support machine learning and artificial intelligence
  4. Understand the softwar
Independent Project
Credits: 20
Mandatory: Yes
  1. Can select and plan an ICT project
  2. Can lead requirements gathering and design a solution to a problem/process
  3. Can manage and complete an ICT project
  4. Can test a solution
  5. Can evaluate their solution and their own practice
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