Level 6 Diploma in Data Science and Big Data Analytics
The Level 6 Diploma in Data Science and Big Data Analytics offered by OXQUAL develops advanced competence in data engineering, machine learning, deep learning, big-data platforms, cloud analytics, business intelligence, data governance and enterprise analytics projects.
About this qualification
The Level 6 Diploma in Data Science and Big Data Analytics offered by OXQUAL develops advanced competence in data engineering, machine learning, deep learning, big-data platforms, cloud analytics, business intelligence, data governance and enterprise analytics projects.
Career-focused
Develop relevant skills and knowledge that can support your next professional step.
What you'll cover
Key topics covered in this OXQUAL programme include:
- Advanced Data Science
- Big-Data Fundamentals
- Data Engineering
- ETL Pipelines
- Data Lakes
- Distributed Data Systems
- Machine Learning
- Predictive Analytics
- Regression
- Classification
- Clustering
- Neural Networks
- Deep Learning
- CNN Awareness
- RNN Awareness
- LSTM Awareness
- Hadoop Awareness
- Apache Spark Awareness
- AWS Analytics Awareness
- Azure Analytics Awareness
- Google Cloud Awareness
- Data Visualisation
- Power BI
- Tableau
- Python Visualisation
- Data Governance
- Responsible Data Use
- Data Security
- Enterprise Data Capstone Project
Who it's designed for
This OXQUAL programme is suitable for:
- Data Analysts
- Data Scientists
- Machine-Learning Professionals
- IT Professionals developing enterprise analytics skills
What you'll gain
Successful completion of this OXQUAL programme can help learners to:
- Develop enterprise data-science competence.
- Strengthen data-engineering skills.
- Improve machine-learning and predictive-analytics capability.
- Develop big-data platform awareness.
- Improve BI and visualisation competence.
- Strengthen data-governance knowledge.
How this qualification is assessed
The assessment pattern for this OXQUAL programme is outlined below.
- Assessment Type: Written examination, enterprise data project and viva.
- Format: Multiple-choice questions, applied coding tasks, project submission and oral defence.
- Total Questions: 100 theory questions plus 1 capstone project and 1 viva.
- Passing Score: 70%.
- Duration: 10–12 weeks (180–200 hours total).
Have questions about this qualification?
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