LICQual Level 3 Certificate in Healthcare Data Analytics

Healthcare Data Analytics

The LICQual Level 3 Certificate in Healthcare Data Analytics is a professional course designed to equip healthcare professionals, administrators, and career changers with the knowledge and skills to analyze and interpret healthcare data effectively. This course focuses on transforming raw healthcare information into actionable insights, enabling better decision-making, improving patient care, and optimizing operational performance within hospitals, clinics, and other healthcare organizations.

Through this Level 3 Healthcare Data Analytics course, you will explore essential topics such as data collection, processing, visualization, and reporting. You will also learn how to apply analytical tools and techniques to monitor performance, identify trends, and support evidence-based decisions in healthcare settings. The course emphasizes practical application, giving you the skills to handle real-world data challenges and provide meaningful insights that improve organizational outcomes.

The Healthcare Data Analytics Certification from LICQual is fully accredited, offering a recognized credential that demonstrates your expertise to employers and peers. Whether your goal is to advance your career, transition into healthcare analytics, or enhance data-driven decision-making in your organization, this course provides the tools, knowledge, and confidence to succeed.

By the end of the course, you will be able to analyze complex healthcare datasets, generate actionable insights, and contribute to informed decision-making that supports patient care and organizational efficiency. Take the first step toward becoming a certified professional in healthcare data analytics and unlock new opportunities in this rapidly growing field.

Course Overview

Qualification Title

LICQual Level 3 Certificate in Healthcare Data Analytics

Total Units

6

Total Credits

24

GLH

120

Qualification #

LICQ2200716

Qualification Specification

Download Qualification Specification

To enroll in the LICQual Level 3 Certificate in Healthcare Data Analytics, applicants must meet the following criteria:

  • Age Requirement: Applicants must be at least 18 years old.
  • Educational Requirements: A minimum of a Level 2 qualification or equivalent in healthcare, business, information management, or a related field.
  • Experience: Some prior experience in healthcare, data handling, or administrative roles is recommended to support understanding of the course content.
  • English Language Proficiency: Participants must have sufficient English reading, writing, listening, and speaking skills to understand instructions, complete assessments, and communicate during practical exercises.
  • Commitment to Continuing Professional Development (CPD): Learners should show a strong commitment to Continuing Professional Development (CPD) and be motivated to apply data analytics skills in a healthcare setting.
  • Access to Required Resources: Learners must have access to a computer or device with reliable internet connectivity, as well as relevant software and materials necessary to complete data analytics tasks and coursework.

Qualification#

Unit Title

Credits

GLH

LICQ2200716-1

Introduction to Healthcare Data Analytics

4

20

LICQ2200716-2

Data Collection and Data Quality

4

20

LICQ2200716-3

Statistical and Analytical Techniques

4

20

LICQ2200716-4

Data Visualisation and Reporting

4

20

LICQ2200716-5

Data-Driven Decision Making in Healthcare

4

20

LICQ2200716-6

Governance, Security, and Compliance in Healthcare Data

4

20

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

Unit 1: Introduction to Healthcare Data Analytics

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

  • Explain the fundamental concepts and importance of data analytics in healthcare.
  • Identify different types of healthcare data, including clinical, operational, and financial data.
  • Analyse the role of data analytics in improving patient outcomes and organisational efficiency.
  • Describe the main healthcare data systems and technologies used in practice.

Unit 2: Data Collection and Data Quality

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

  • Describe key methods and sources of healthcare data collection.
  • Assess the accuracy, reliability, and completeness of healthcare data.
  • Apply principles of data quality management to ensure integrity and consistency.
  • Identify common challenges in data collection and strategies to overcome them.

Unit 3: Statistical and Analytical Techniques

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

  • Apply basic statistical methods relevant to healthcare data analysis.
  • Prepare, clean, and organise datasets for analysis.
  • Interpret descriptive and inferential statistics to draw meaningful insights.
  • Use appropriate analytical tools to support healthcare decision-making.

Unit 4: Data Visualisation and Reporting

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

  • Apply principles of effective data presentation for healthcare audiences.
  • Create charts, graphs, and dashboards to communicate data findings.
  • Develop professional reports that support clinical and administrative decision-making.
  • Evaluate the effectiveness of data visualisation in influencing healthcare outcomes.

Unit 5: Data-Driven Decision Making in Healthcare

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

  • Apply healthcare data insights to improve patient care, safety, and resource management.
  • Analyse case studies where data analytics informed strategic healthcare decisions.
  • Integrate evidence-based practice with data-driven insights.
  • Evaluate the ethical implications of using data in healthcare decision-making.

Unit 6: Governance, Security, and Compliance in Healthcare Data

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

  • Explain key data protection regulations and compliance requirements in healthcare.
  • Apply principles of ethical data use in patient care and organisational contexts.
  • Identify security risks and implement measures to protect sensitive healthcare data.
  • Analyse governance frameworks that ensure responsible and transparent data management.

The LICQual Level 3 Certificate in Healthcare Data Analytics is designed for healthcare professionals, administrators, and career changers who want to gain expertise in data-driven decision-making and healthcare analytics. This course is ideal for individuals looking to analyze healthcare data, improve operational efficiency, and enhance patient care outcomes. Learners will gain practical skills and a recognized certification to advance their careers and professional credibility.

Healthcare Professionals

  • Learn how to interpret and analyze healthcare datasets
  • Understand data visualization and reporting techniques
  • Apply analytics to improve patient care and service delivery
  • Identify trends and patterns to support evidence-based decisions
  • Enhance decision-making skills with practical data applications
  • Gain accredited certification to boost career growth

Healthcare Administrators and Managers

  • Improve operational efficiency using data-driven insights
  • Monitor key performance indicators for healthcare services
  • Develop data strategies to optimize resource allocation
  • Implement analytics for staff performance and workflow planning
  • Strengthen organizational decision-making with data
  • Apply real-world case studies to enhance practical skills

Career Changers Entering Healthcare Analytics

  • Build foundational skills in healthcare data analysis
  • Transition confidently into analytics or administrative roles
  • Learn practical tools for interpreting healthcare information
  • Understand patient data management and reporting systems
  • Enhance employability with an accredited Level 3 certificate
  • Gain hands-on experience for immediate workplace application

Data Analysts and IT Professionals

  • Develop specialized skills in healthcare data management
  • Apply statistical tools for operational and clinical analysis
  • Understand health informatics and regulatory requirements
  • Support healthcare teams with actionable insights
  • Strengthen analytical thinking and problem-solving abilities
  • Gain professional certification to advance your career

Healthcare Entrepreneurs and Startups

  • Use data analytics to optimize healthcare operations
  • Monitor financial and clinical performance for small businesses
  • Make informed decisions on staffing and service planning
  • Identify opportunities to improve patient care and satisfaction
  • Enhance strategic planning with data-driven insights
  • Build credibility with an accredited certification

Centres delivering this qualification must meet the following requirements to ensure effective delivery and high-quality learner outcomes:

  • Qualified Trainers and Assessors – Centres must employ trainers with relevant academic qualifications and professional experience in healthcare data analytics, statistics, or healthcare management.
  • Strong Quality Assurance Systems – Centres should maintain robust internal quality assurance procedures to ensure consistent assessment, delivery, and learner support in line with LICQual standards.
  • Appropriate Learning Facilities – Provision of classrooms, computer labs, or online learning platforms that enable learners to develop both theoretical knowledge and practical data analysis skills.
  • Access to Updated Resources – Learners must have access to up-to-date study materials, healthcare datasets, case studies, and data analytics tools or software.
  • Assessment Arrangements – Centres must be equipped to deliver and assess assignments, projects, and practical data analysis tasks that reflect real-world healthcare scenarios.
  • Digital and Technical Support – For online or blended delivery, centres should provide secure platforms, reliable internet access, and technical support to ensure smooth learning experiences.
  • Health, Safety, and Data Security Compliance – Centres must comply with local health and safety standards, while also ensuring data privacy and security during training activities.
  • Commitment to Learner Success – Centres must demonstrate a learner-centred approach by providing academic guidance, pastoral support, and access to CPD opportunities.

These requirements ensure centres deliver a professional, high-quality training experience that enables learners to develop strong healthcare data analytics skills and successfully achieve the qualification.

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.