Level 6 Diploma in Data Science and Big Data Analytics
Empowering professionals through accredited international qualifications.
Explore Other CoursesCourse Overview
HiQual UK delivers the Level 6 Diploma in Data Science and Big Data Analytics, designed for learners progressing from Level 5 AI/Data qualifications who want to specialize in enterprise‑level data science, analytics, and big data systems. The program emphasizes advanced data engineering, machine learning, cloud analytics, and compliance with international standards. Participants will gain the competence to design, deploy, and manage large‑scale data solutions while preparing audit‑ready documentation for regulated environments.
Qualification Details
| Qualification Title | Level 6 Diploma in Data Science and Big Data Analytics |
|---|---|
| Total Credits | 60 |
| Guided Learning Hours | 120 |
| Qualification Time | 240 |
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Principles of Data Science & Big Data Enterprise data frameworks, methodologies, and industry applications.
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Advanced Data Engineering & Pipelines ETL processes, data lakes, and distributed data systems.
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Machine Learning & Predictive Analytics Regression, classification, clustering, and applied ML models for big data.
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Deep Learning & Neural Networks CNNs, RNNs, LSTMs, and scalable deep learning architectures.
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Big Data Platforms & Cloud Analytics Hadoop, Spark, AWS, Azure, and Google Cloud for enterprise analytics.
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Data Visualization & Business Intelligence Tableau, Power BI, Python visualization libraries, and audit‑ready dashboards.
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Data Governance, Ethics & Compliance GDPR, ISO/IEC standards, fairness, transparency, and responsible data use.
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Cybersecurity & Risk Management in Data Systems Secure data storage, encryption, and adversarial risk mitigation.
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Audit‑Ready Documentation & Compliance Standards Technical documentation, compliance records, and audit frameworks.
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Capstone Project in Data Science & Big Data Analytics Real‑world enterprise data simulations, applied projects, and portfolio development.
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Builds competence in enterprise data science and big data systems
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Enhances compliance with RQF, BCS, IEEE, ISO/IEC, and W3C standards
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Strengthens skills in data engineering, ML, deep learning, and cloud analytics
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Provides tools for audit‑ready data documentation and compliance frameworks
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Offers recognized certification to support careers in data science leadership, enterprise analytics, and digital transformation
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Learners progressing from Level 5 Diploma in Artificial Intelligence and Machine Learning (AIML‑515) or Level 5 Diploma in Data Science (DSDP‑515)
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Students seeking leadership roles in data science, analytics, and enterprise IT systems
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IT professionals aiming to formalize their expertise with a recognized Level 6 qualification
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Assessment Type: Written exam + enterprise data project + viva
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Format: MCQs, applied coding tasks, project submission, and oral defense
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Total Questions: 100 theory + 1 capstone project + 1 viva
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Passing Score: 70%
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Duration: 10–12 weeks (180–200 hours total)
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Certification: Level 6 Diploma in Data Science and Big Data Analytics (DSBD)
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