Category

Computing & AI

Level

Level 4

Qualification Number

610/6114/1

Total Credits

60

Course Overview

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.

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

Details Unit Aims
IT Systems Development
Credits: 15
Mandatory: Yes
Programming and Scripting
Credits: 10
Mandatory: Yes
Data and Database Systems
Credits: 15
Mandatory: Yes
Practical Probability Theory for Data Science
Credits: 10
Mandatory: Yes
  1. Understand the principles of basic probability theory
  2. Understand the characteristics of common distributions
  3. Understands samples and populations
Legislation, Regulation, Ethics and Codes of Practice
Credits: 10
Mandatory: Yes
  1. Understand current legal and regulatory issues in IT
  2. Understand current ethical issues in IT
  3. Understand the need to create organisational cybersecurity policies and procedures
  4. Understand the role of professional bodies and industry certificatio
Menu
ATHE
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.