ATHE Level 5 Diploma in Computing and Advanced Statistics
Introduction
This 60-credit qualification is aimed at learners looking to move on from foundational topics at Level 4, within the context of the Advanced Statistics necessary for understanding Artificial Intelligence. The qualification covers key underpinning computing content at Level 5: digital transformation, professional development, business communication and information systems, and looks to build on Level 4 maths and statistics topics to develop understanding in statistical modelling. This maths understanding is the basis for the AI units in the Level 5 Extended Diploma. The qualification is suited to learners with a background in maths.
Grading
Graded with Pass, Merit and Distinction.
ATHE Level 5 Diploma in Computing and Advanced Statistics (60 credits)
Pass 180 – 215
Merit 216 – 269
Distinction 270
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:
- Prior study in computing or related subjects at Level 4 or above, or a Level 4 qualification, for example, an ATHE Level 4 Diploma/Extended Diploma in Computing; a Higher Technical Qualification (HTQ) in a computing-related subject
- 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 are required to achieve all four units.
| Unit Name | Unit Aims | Credits | Mandatory |
|---|---|---|---|
| Computing Projects for Digital Transformation | This unit enables learners to begin to think about how digital transformation may benefit their organisation, their job role, or the day-to-day activities within their organisation or their team. This understanding should be digital pathway neutral as learners at Level 5 will be expected to understand and contribute to plans for a digital transformation, regardless of their role. | 15 | Yes |
| Professional Development and Business Communication | This unit builds on the professional practice content first introduced in Level 4’s Unit 11 (Synoptic Project and Professional Best Practice) where learners considered team behaviours that contribute to effective working, written and oral communication and wider considerations such as ethical practice and an understanding of relevant legislation. Because the IT industry is fast moving, practitioners should understand that working in this sector will necessitate continuous professional development (CPD), often including the updating of technical skills as well as the development of professional skills as practitioners are promoted. | 15 | Yes |
| Advanced Statistics for Data Science | This unit introduces statistical and probability concepts for understanding statistical models. It enables learners to numerically evaluate the performance of algorithmic models and equips them with practical knowledge of statistical modelling techniques such as regression, Bayes classifiers and support vector machines. The learners will undertake a practical activity in applying one of these algorithms to data. | 15 | Yes |
| Information Systems | When working in industry, IT practitioners must be able to see the bigger picture, drawing on all of their knowledge and previous experiences to find the best and most viable solutions to the problem. This is particularly important when working with non-technical managers who may not understand the technologies that they need to be able to perform their role. Practitioners must be able to share their knowledge and understanding in an appropriate way to promote the use of data and information systems to support modern business and enterprise. This unit enables learners to examine a wide range of information systems that they will find in industry. | 15 | Yes |