ATHE Level 4 Extended Diploma in Computing and Artificial Intelligence

Typical Age

These qualifications are designed for learners who are typically aged 18+.

Qualifications

The entry profile for learners is likely to include at least one of the following:

• A GCE Advanced level profile with achievement in 2 or more subjects supported by 5 or more GCSEs at grades 4/C and above
• Other related level 3 subjects such as an ATHE level 3 Diplomas
• An Access to Higher Education Certificate delivered by an approved further education institute and validated by an Access Validating Agency
• 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

Learners must complete all 11 mandatory units.

Unit Name	Unit Aims	Credits	Mandatory
IT Systems Development: Preparation, Analysis, Design and Problem-solving	This unit draws together concepts from Systems Analysis and Project Management to help learners develop the skills and techniques needed to confidently respond to a client brief, to identify a problem or opportunity, analyse an existing system, identify possible solutions to the problem before choosing the most appropriate solution and producing a suitable design. Learners will present their final solution design to their client and respond to feedback.	15	Yes
Programming and Scripting	This unit focuses on the principles of programming and scripting using Python. Python is a general-purpose language that is used for a wide range of contexts. For example, it can be used to create applications such as utilities, web apps and bespoke applications. It can also be used for scripting. For example, for one-off, quick scripts to solve a problem. It could be used to automate common tasks or to create data pipelines (e.g. ETL). It is commonly used for AI and machine learning, for data analytics, and for the creation of simple APIs and for DevOps automation. Note: learners will have opportunities to explore other languages in the Advanced Programming unit for the Software Development pathway.	10	Yes
Data and Database Systems	All IT professional roles will bring practitioners into contact with data and databases. For example: Analysts will gather, organise and manipulate data for use in a variety of ways; Cyber Security Technicians will manage the privacy and security of data and data systems; Software Developers and DevOps Engineers will create and maintain systems containing complex data. This unit introduces learners to data and database systems by exploring the concept of data, data modelling and creating systems to hold and manage data. It takes a real-world view of database and database design, without focusing on data manipulation, which will be introduced in a later unit.	15	Yes
Practical Probability Theory for Data Science	This unit introduces learners to basic probability theory and distributions. It takes a practical approach to understanding the principles required to apply these techniques. This unit will complement the statistical principles and visualisation techniques taught and developed in later units.	10	Yes
Legislation, Regulation, Ethics and Codes of Practice	IT practitioners in the modern world should understand how legislation and regulation applies in the IT sector. They should also understand the importance of cybersecurity and why organisations create policies and procedures to help them address this on a day-to- day basis. They should have an appreciation of a range of ethical issues and should be aware of the role of professional bodies in setting standards to maintain the industry in the industry. Learners should also be familiar with the concept of professional certification. For example, there are some organisations that require specific professional certification as part of their pre-requisites for industry jobs.	10	Yes
Methods and Tools for Analysis	This unit helps learners develop an understanding of the methods used in data analysis and the common tools used to apply those methods. It also helps the learner appreciate the role of data users and requirements analysis.	10	Yes
Data Preparation and Quality Risks	This unit helps learners develop an understanding of basic data extraction, manipulation, combination and common data quality issues. It equips the learners with practical skills needed to perform basic data analysis tasks with SQL and in a spreadsheet.	10	Yes
Statistics for Analysing Datasets	This unit helps learners develop an understanding of the statistical principles needed for basic analysis of datasets. It equips the learners with practical skills needed to perform basic data analysis tasks using spreadsheet software.	10	Yes
Analytical Impact through Data Visualisations	This unit helps learners develop the skills needed to confidently communicate the results of data analysis. It equips the learners with practical skills in using appropriate graphical representations and visualisations, and with skills in designing and constructing a simple data dashboard.	10	Yes
Introduction to Artificial Intelligence	This unit introduces the history and basic principles underpinning artificial intelligence, exploring basic types of machine learning algorithms and enabling learners to apply an algorithm on a sample dataset.	10	Yes
Synoptic Computing Project	This unit is designed to enable learners from any pathway to resolve a business problem or show how a business opportunity could be pursued using appropriate tools and technologies. The project should be a suitable match to their study pathway and should make use of the knowledge and skills gained when studying the Diploma and Extended Diploma programmes.	10	Yes