ATHE Level 4 Diploma in Computing and Practical Probability Theory
Introduction
The Level 4 Diploma in Computing and Practical Probability Theory (60-credit) offers learners a short but relatively extensive introduction to key Artificial Intelligence maths topics set against a backdrop of essential Level 4 Computing knowledge and skills. It is aimed at learners looking to undertake a broader grounding in key computing subjects with a preparatory interest in Artificial Intelligence-related maths.
As an outcome, the Level 4 Diploma offers learners current and integrated learning across practical probability theory, systems development, programming, data analysis, and relevant legislation/regulation. This qualification acts as a springboard into the larger 120-credit Extended Diploma. The qualification is suited to learners with a background in maths.
Grading
Graded with Pass, Merit and Distinction.
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.
Qualification Specification
To view the specification, please click here.
Additional
This qualification is eligible for UCAS points. To find out how much points your qualification is worth, please visit the UCAS Tariff Calculator here.
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 5 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 |