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Level 4 Diploma in Artificial Intelligence and Data Analytics

Level 4 Diploma in Artificial Intelligence and Data Analytics

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Course Overview

HiQual UK delivers the Level 4 Diploma in Artificial Intelligence and Data Analytics, designed for learners progressing from Level 3 programming or IT qualifications who want to specialize in AI systems and data‑driven decision making. The program emphasizes machine learning, data analysis, Python programming, and compliance with international standards. Participants will gain the competence to design, implement, and evaluate AI models while preparing audit‑ready documentation for professional and regulated environments.

Qualification Details

Qualification Title Level 4 Diploma in Artificial Intelligence and Data Analytics
Total Credits 60
Guided Learning Hours 120
Qualification Time 240
  1. Principles of Artificial Intelligence & Data Analytics Core AI concepts, data‑driven systems, and industry applications.

  2. Python Programming for AI & Data Science Advanced syntax, libraries (NumPy, Pandas, Matplotlib), and modular programming.

  3. Data Collection, Cleaning & Preprocessing Handling datasets, normalization, feature engineering, and audit‑ready data pipelines.

  4. Machine Learning Fundamentals Regression, classification, clustering, and supervised vs. unsupervised learning.

  5. Neural Networks & Deep Learning Basics Perceptrons, activation functions, and simple neural architectures.

  6. Big Data & Cloud Analytics Distributed systems, cloud platforms, and large‑scale data processing.

  7. AI Libraries & Frameworks TensorFlow, Keras, PyTorch, and Scikit‑Learn for applied AI.

  8. Model Training, Testing & Evaluation Accuracy metrics, confusion matrices, cross‑validation, and performance optimization.

  9. Audit‑Ready Documentation & Compliance Standards Technical documentation, GDPR compliance, and ISO/IEC AI frameworks.

  10. Case Studies & Practical AI/Data Projects Real‑world AI applications such as predictive analytics, chatbots, and image recognition.

  • Builds competence in AI programming and data analytics

  • Enhances compliance with RQF, BCS, IEEE, ISO/IEC AI, and W3C standards

  • Strengthens skills in data pipelines, machine learning, and neural networks

  • Provides tools for audit‑ready AI projects and compliance frameworks

  • Offers recognized certification to support careers in AI engineering, data science, and IT leadership

  • Learners progressing from Level 3 Certificate in AI Programming with Python (AIPP‑313) or Level 3 Diploma in Computing (ITDP‑313 / CSDP‑313)

  • Students seeking advanced careers in AI, machine learning, and data science

  • IT professionals aiming to formalize their expertise with advanced certification

  • Assessment Type: Written exam + AI/data project + viva

  • Format: MCQs, applied coding tasks, project submission, and oral defense

  • Total Questions: 90 theory + 1 project + 1 viva

  • Passing Score: 70%

  • Duration: 8–10 weeks (150–180 hours total)

  • Certification: Level 4 Diploma in Artificial Intelligence and Data Analytics (AIDA)

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