LICQual Level 6 Diploma in Healthcare Data Analytics 

The LICQual Level 6 Diploma in Healthcare Data Analytics is an advanced qualification designed for experienced healthcare professionals seeking to enhance their expertise in data-driven decision-making, analytics, and evidence-based healthcare management. This diploma equips learners with the knowledge, analytical skills, and practical tools necessary to collect, interpret, and apply healthcare data effectively, driving improved patient outcomes, operational efficiency, and strategic planning.

This qualification is not intended for fresh candidates; it is specifically aimed at professionals who wish to enhance their career prospects, broaden their knowledge, and strengthen their Continuing Professional Development (CPD). Learners will explore key areas such as data management, statistical analysis, predictive modelling, healthcare informatics, and data governance, enabling them to make informed decisions that support organisational objectives and patient care excellence.

Centres delivering the LICQual Level 6 Diploma in Healthcare Data Analytics are required to uphold the highest standards of education and training. This includes employing competent and qualified staff, providing comprehensive and up-to-date learning materials, and ensuring access to all necessary resources to support learner engagement, understanding, and success. These standards guarantee a professional learning environment where learners can develop both theoretical knowledge and practical expertise in healthcare data analytics.

Completing this diploma empowers learners to take on senior data analytics, management, or advisory roles within hospitals, clinics, healthcare organisations, or consultancy services. The course combines academic rigour with real-world applications, preparing learners to analyse complex healthcare data, implement evidence-based solutions, and contribute to strategic, data-informed decision-making across healthcare systems.

Course Overview


Qualification Title

LICQual Level 6 Diploma in Healthcare Data Analytics 

Total Units

6

Total Credits

120

GLH

480

Qualification #

LICQ2200774


Qualification Specification

Download Qualification Specification

To enroll in the LICQual Level 6 Diploma in Healthcare Data Analytics , applicants must meet the following criteria:

  • Age Requirement: Applicants must be at least 18 years old.
  • Educational Requirements: Learners should hold a Level 5 qualification or equivalent in healthcare, data analytics, information management, statistics, or a related discipline. Relevant professional experience may be considered for applicants without formal qualifications.
  • Experience: A minimum of two years’ experience in healthcare, data management, or analytics-related roles is recommended to provide practical context for the course content.
  • English Language Proficiency: Applicants must have a good command of the English language. Non-native English speakers should demonstrate English proficiency equivalent to IELTS 5.0 or CEFR Level B1 to ensure effective participation and comprehension.
  • Commitment to CPD: Learners should show a clear commitment to ongoing professional growth, as this qualification is designed to enhance knowledge, skills, and CPD within healthcare data analytics.
  • Access to Required Resources: Learners must have reliable access to a computer, internet, and any learning platforms or materials provided by the centre to fully participate in online, blended, or face-to-face learning activities.

Qualification#

Unit Title

Credits

GLH

LICQ2200774-1

Principles of Healthcare Data Analytics

20

80

LICQ2200774-2

Statistical Methods and Data Interpretation

20

80

LICQ2200774-3

Predictive Analytics and Modelling

20

80

LICQ2200774-4

Healthcare Informatics and Digital Systems

20

80

LICQ2200774-5

Data Governance, Ethics, and Compliance

20

80

LICQ2200774-6

Strategic Decision-Making Using Data Analytics

20

80

By the end of this course, learners will be able to:

Unit 1: Principles of Healthcare Data Analytics

  • Understand the core principles and concepts of healthcare data analytics.
  • Analyse methods for collecting, managing, and organising healthcare data.
  • Evaluate the role of analytics in improving patient care, operational efficiency, and organisational performance.
  • Develop strategies to integrate data analytics into healthcare decision-making processes.

Unit 2: Statistical Methods and Data Interpretation

  • Understand quantitative and qualitative statistical techniques used in healthcare analytics.
  • Analyse healthcare data to identify trends, patterns, and correlations.
  • Interpret statistical results to generate actionable insights for healthcare management.
  • Apply data analysis tools and methods to support evidence-based decision-making.

Unit 3: Predictive Analytics and Modelling

  • Understand predictive modelling and its applications in healthcare planning.
  • Apply machine learning and forecasting techniques to anticipate risks and outcomes.
  • Analyse predictive data to inform proactive interventions and resource allocation.
  • Develop strategies to implement predictive analytics effectively within healthcare organisations.

Unit 4: Healthcare Informatics and Digital Systems

  • Understand healthcare information systems and digital tools for data management.
  • Analyse electronic health records and digital platforms to support analytics processes.
  • Apply informatics principles to enhance data accuracy, accessibility, and usability.
  • Evaluate digital systems to ensure efficient and effective healthcare data analytics.

Unit 5: Data Governance, Ethics, and Compliance

  • Understand regulatory requirements and ethical considerations in healthcare data management.
  • Analyse governance frameworks for managing sensitive healthcare information responsibly.
  • Apply data protection and compliance standards to safeguard patient data.
  • Evaluate organisational practices to ensure ethical and secure handling of healthcare data.

Unit 6: Strategic Decision-Making Using Data Analytics

  • Understand principles of strategic decision-making in healthcare using analytics.
  • Analyse complex healthcare data to support organisational planning and improvement.
  • Develop evidence-based strategies to enhance clinical, operational, and financial outcomes.
  • Evaluate the impact of data-driven decisions on patient care and organisational performance.

This advanced qualification is designed for professionals seeking to enhance their expertise in healthcare data analytics, evidence-based decision-making, and strategic healthcare management. Learners who will benefit most include:

  • Healthcare Data Analysts and Specialists: Professionals responsible for analysing healthcare data to support operational and clinical decision-making.
  • Healthcare Managers and Executives: Individuals overseeing digital systems, data-driven projects, and organisational performance improvement.
  • Healthcare Consultants and Advisors: Professionals providing guidance on data analytics, reporting, and strategic decision-making in healthcare settings.
  • Informatics and Digital Health Professionals: Individuals focusing on electronic health records, healthcare information systems, and data governance.
  • CPD-Oriented Professionals: Learners committed to continuing professional development (CPD) and seeking to advance their careers in healthcare analytics and management.
  • Strategic Decision-Makers in Healthcare: Professionals using data insights to improve patient care, resource allocation, and operational efficiency.

This course equips learners with the knowledge, analytical skills, and practical expertise necessary to lead data-driven initiatives, optimise healthcare performance, and contribute to strategic planning and policy development within healthcare organisations.

To deliver the LICQual Level 6 Diploma in Healthcare Data Analytics effectively, training centres must meet the following standards to ensure a high-quality learning experience for all learners:

  • Qualified and Competent Staff: Centres must employ trainers and assessors with relevant qualifications and extensive experience in healthcare data analytics, informatics, statistics, and digital health systems. Staff should be capable of guiding learners through advanced analytics concepts and practical applications.
  • Comprehensive Learning Materials: Centres should provide up-to-date resources, including course manuals, case studies, data analysis tools, and access to online learning platforms, enabling learners to engage fully with the curriculum.
  • Access to Technology and Facilities: Centres must have suitable classrooms, computers, internet access, and specialised software to support face-to-face, blended, or online learning delivery.
  • Robust Assessment and Support Systems: Centres must implement clear assessment procedures, provide timely feedback, and offer guidance and support to help learners achieve learning outcomes and complete the qualification successfully.
  • Commitment to Continuing Professional Development (CPD) and Best Practices: Centres should foster a culture of CPD for both learners and staff, maintaining high standards in teaching, assessment, and industry relevance.
  • Regulatory Compliance and Quality Assurance: Centres must adhere to all relevant education regulations and quality assurance processes to uphold the integrity and credibility of the qualification.

Meeting these requirements ensures that learners receive a professional, structured, and supportive learning environment, enabling them to develop advanced skills in healthcare data analytics, lead data-driven initiatives, and excel in senior analytics, management, or advisory roles within healthcare organisations.

Assessment and Verification

All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.

To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.

Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.

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