ATHE Level 5 Extended Diploma in Computing and Artificial Intelligence

Category

Computing & AI

Level

Level 5

Qualification Number

610/6118/9

Total Credits

120

Course Overview

The ATHE Level 5 Extended Diploma in Computing and Artificial Intelligence is a comprehensive qualification designed to equip learners with the foundational knowledge and practical skills necessary to excel in the fields of computing and AI. This diploma covers a broad range of topics, including programming, data management, machine learning, AI ethics, and algorithm design. The curriculum is structured to provide a balance between theoretical understanding and practical application, ensuring that students are well-prepared for either direct entry into relevant employment or further academic studies in computing and AI disciplines. The course typically spans over 1200 learning hours and is often considered equivalent to the second year of a university degree in the UK.

Applicants for the ATHE Level 5 Extended Diploma in Computing and Artificial Intelligence are generally expected to have completed a Level 4 qualification in a related field, such as computing, information technology, or mathematics. Alternatively, candidates with substantial relevant work experience in the IT sector may also be considered. Proficiency in English is essential, and for non-native speakers, an IELTS score of 5.5 or equivalent may be required. Applicants should possess strong analytical skills and a keen interest in technology and artificial intelligence.

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
Advanced Project
Credits: 15
Mandatory: Yes
Advanced Database Practice
Credits: 15
Mandatory: Yes
Programming for Data Engineering
Credits: 15
Mandatory: Yes
Foundations of Artificial Intelligence for Data and Language
Credits: 15
Mandatory: Yes
  1. Understand how machines learn from data
  2. Understand text mining algorithms
  3. Understand the challenges of implementing Generative AI Models
Machine Learning in Practice: Structure, Strategy, and Evaluation
Credits: 15
Mandatory: Yes
  1. Understand classification and prediction algorithms
  2. Understand multi-layer perceptron classifiers (aka. neural networks)
  3. Understand genetic algorithms

Find A Centre

Qualification Specifications

Menu
ATHE
Powered by  GDPR Cookie Compliance
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.