Category

Computing & AI

Level

Level 5

Qualification Number

610/6117/7

Total Credits

60

Course Overview

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.

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

Details Unit Aims
Computing Projects for Digital Transformation
Credits: 15
Mandatory: Yes
Professional Development and Business Communication
Credits: 15
Mandatory: Yes
Advanced Statistics for Data Science
Credits: 15
Mandatory: Yes
  1. Understand ways to evaluate the performance of algorithmic models
  2. Understand statistical prediction and regression
  3. Understand and apply traditional statistical machine learning algorithms
Information Systems
Credits: 15
Mandatory: Yes
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