The QualCert Level 6 Diploma in Healthcare Data Analytics equips healthcare professionals with the advanced skills needed to analyse, interpret, and apply data effectively within healthcare settings. This qualification is designed to meet the growing demand for experts who can transform complex healthcare data into actionable insights.
The Level 6 Diploma is a comprehensive qualification that offers learners a deep understanding of data analytics techniques, tools, and applications specifically tailored for healthcare. It aligns with the final year of an undergraduate degree and is recognised both nationally and internationally. This diploma bridges the gap between general data analytics and the specialised needs of healthcare organisations, including hospitals, clinics, research institutions, and public health agencies.
Healthcare data is unique due to its complexity, sensitivity, and regulatory environment. General data analytics skills may not suffice when handling patient records, clinical outcomes, and healthcare operations data. This diploma focuses on healthcare-specific challenges such as data privacy, compliance with NHS and GDPR regulations, and the integration of diverse data sources.
Graduates gain expertise in predictive analytics, data visualisation, and performance measurement, enabling them to support clinical decision-making, resource management, and health policy planning. These skills are increasingly vital as healthcare providers adopt digital technologies and seek to optimise patient care through data-driven strategies.
The QualCert Level 6 Diploma in Healthcare Data Analytics offers a vital skill set for professionals aiming to harness the power of data in healthcare. By combining technical analytics skills with an understanding of healthcare systems and regulations, this qualification prepares learners to make a significant impact on patient care and organisational performance. As healthcare continues to embrace digital transformation, this diploma opens the door to exciting career opportunities and professional growth.
Course Contents of QualCert Level 6 Diploma in Healthcare Data Analytics:
The QualCert Level 6 Diploma in Healthcare Data Analytics consists of a structured set of study units designed to provide learners with in-depth and comprehensive knowledge. The qualification includes a total of 1200 Total Qualification Time (TQT), 600 Guided Learning Hours (GLH), and awards 120 credits.
| Unit Ref# | Unit Title | Credits | GLH | TQT |
| QC28073- 1 | Data Collection and Management in Healthcare | 20 | 100 | 200 |
| QC28073-2 | Statistical Methods and Predictive Analytics | 20 | 100 | 200 |
| QC28073-3 | Data Visualisation and Reporting for Healthcare | 20 | 100 | 200 |
| QC28073-4 | Healthcare Information Systems and Technology | 20 | 100 | 200 |
| QC28073-5 | Legal, Ethical and Regulatory Issues in Healthcare Data | 20 | 100 | 200 |
| QC28073-6 | Application of Data Analytics to Improve Healthcare Outcomes | 20 | 100 | 200 |
Entry requirements for the QualCert Level 6 Diploma in Healthcare Data Analytics:
Minimum Age
- Applicants must be at least 19 years old at the time of enrolment.
Educational Background
Applicants should meet one or more of the following criteria:
- Hold a Level 5 qualification in data analytics, healthcare, IT, statistics, or a related field
- Possess a Higher National Diploma (HND), Foundation Degree, or equivalent qualification
- Have a Bachelor’s degree in data science, healthcare informatics, computer science, or a related discipline
- Hold an international qualification equivalent to the above, subject to evaluation
Work Experience
- Ideally, applicants have 1–2 years of relevant experience in healthcare data analysis, health informatics, or related roles
- Candidates without work experience but with strong academic credentials may also be considered
Language Proficiency
Applicants must demonstrate English language proficiency through one of the following:
- IELTS Academic with an overall score of 6.0 and no band less than 5.5
- TOEFL iBT score of 79 or higher
- PTE Academic score of 50 or above
- Cambridge English B2 First (FCE) with Grade C or higher
- Proof of prior education conducted in English (subject to review)
Learning outcomes for the QualCert Level 6 Diploma in Healthcare Data Analytics:
Data Collection and Management in Healthcare
- Understand types and sources of healthcare data
- Develop skills in data cleaning, validation, and storage
- Apply data management best practices to ensure data quality
- Explore electronic health records (EHR) and patient data systems
- Manage large datasets and ensure data integrity
- Recognise challenges related to data interoperability in healthcare
Statistical Methods and Predictive Analytics
- Apply descriptive and inferential statistics to healthcare data
- Use predictive modelling techniques to forecast health outcomes
- Conduct regression analysis, classification, and clustering
- Interpret statistical results to inform healthcare decisions
- Utilise software tools for statistical analysis (e.g., SPSS, R)
- Understand limitations and assumptions of statistical models
Data Visualisation and Reporting for Healthcare
- Design effective data visualisations tailored to healthcare audiences
- Use tools such as Tableau, Power BI, or Excel for reporting
- Communicate complex data insights clearly and accurately
- Develop dashboards to monitor healthcare performance metrics
- Interpret visual data for clinical and administrative decision-making
- Apply best practices in visual storytelling within healthcare contexts
Healthcare Information Systems and Technology
- Examine healthcare IT systems and their role in data analytics
- Understand integration of clinical, operational, and financial data systems
- Explore emerging technologies such as AI and machine learning in healthcare
- Assess the impact of digital transformation on data collection and usage
- Manage data security and system interoperability challenges
- Support system implementation and user training in healthcare settings
Legal, Ethical and Regulatory Issues in Healthcare Data
- Understand data protection laws including GDPR and NHS data standards
- Evaluate ethical considerations in handling patient and clinical data
- Implement compliance strategies for healthcare data governance
- Manage confidentiality, consent, and data sharing protocols
- Address cybersecurity risks and data breach response in healthcare
- Analyse regulatory frameworks affecting healthcare data use
Application of Data Analytics to Improve Healthcare Outcomes
- Use analytics to assess clinical effectiveness and patient safety
- Analyse operational data to improve resource allocation and efficiency
- Support evidence-based policy making through data interpretation
- Conduct programme evaluation using quantitative and qualitative data
- Develop recommendations for healthcare quality improvement
- Collaborate with multidisciplinary teams to implement data-driven solutions
This course is ideal for professionals aiming to develop specialised skills in data analytics within the healthcare sector. It is suitable for:
- Healthcare professionals seeking to enhance their data analysis and interpretation skills
- Data analysts and IT specialists working in healthcare environments
- Clinical staff interested in applying data-driven approaches to improve patient care
- Graduates in health informatics, statistics, computer science, or related disciplines looking for sector-specific qualifications
- Healthcare managers and decision-makers wanting to use data insights to optimise services
- Professionals transitioning into healthcare data analytics or informatics roles
- International healthcare workers wishing to align their data analytics skills with UK standards