The LICQual Level 6 Diploma in Pharmacy Data Analytics (D Pharmacy Data Analytics) is an advanced qualification designed for professionals seeking to enhance their career prospects, develop specialized analytical expertise, and strengthen their Continuing Professional Development (CPD) within the pharmacy sector. This diploma is not intended for fresh candidates; it is aimed at learners who already possess foundational knowledge or professional experience in pharmacy, healthcare, or data analytics and wish to progress to higher levels of professional competence.
This programme equips learners with the knowledge and skills required to collect, analyze, and interpret complex pharmacy and healthcare data, supporting evidence-based decision-making, operational efficiency, and improved patient outcomes. Learners will explore key concepts in data management, statistical analysis, predictive modelling, and data visualization, gaining practical skills to translate data into actionable insights for pharmacy practice, policy, and management. The course also emphasises regulatory compliance, data governance, and ethical considerations in handling sensitive healthcare information.
Centres delivering the Level 6 Diploma in Pharmacy Data Analytics must maintain the highest standards to ensure learner success. This includes employing competent and qualified staff with expertise in pharmacy, data analytics, and healthcare management. Centres are required to provide learners with access to up-to-date study materials, software tools, digital platforms, and practical resources to support both theoretical and applied learning.
By completing this qualification, learners will acquire the advanced analytical knowledge, technical skills, and professional competencies necessary to drive data-informed decision-making, improve pharmacy operations, and contribute strategically to healthcare management, positioning themselves as highly skilled and influential professionals in the field.
Course Overview
Qualification Title
LICQual Level 6 Diploma in Pharmacy Data Analytics (D Pharmacy Data Analytics)
Total Units
6
Total Credits
120
GLH
480
Qualification #
LICQ2201220
Qualification Specification
To enroll in the LICQual Level 6 Diploma in Pharmacy Data Analytics (D Pharmacy Data Analytics), applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2201220-1 |
Fundamentals of Pharmacy Data Analytics |
20 |
80 |
|
LICQ2201220-2 |
Data Collection, Management, and Governance |
20 |
80 |
|
LICQ2201220-3 |
Statistical Analysis and Interpretation |
20 |
80 |
|
LICQ2201220-4 |
Predictive Analytics and Modelling |
20 |
80 |
|
LICQ2201220-5 |
Data Visualization and Reporting |
20 |
80 |
|
LICQ2201220-6 |
Research, Innovation, and Continuing Professional Development (CPD) |
20 |
80 |
By the end of this course, learners will be able to:
Unit 1: Fundamentals of Pharmacy Data Analytics
By the end of this unit, learners will be able to:
- Analyse the role and significance of data analytics in pharmacy and healthcare
- Identify key data types, sources, and structures relevant to pharmacy practice
- Evaluate the impact of data analytics on operational efficiency and patient outcomes
Unit 2: Data Collection, Management, and Governance
By the end of this unit, learners will be able to:
- Implement best practices for data collection, storage, and management in pharmacy settings
- Apply data governance principles, ensuring compliance with privacy and regulatory requirements
- Maintain data integrity, accuracy, and security in healthcare environments
Unit 3: Statistical Analysis and Interpretation
By the end of this unit, learners will be able to:
- Apply statistical methods to analyse pharmacy and healthcare data
- Identify trends, patterns, and correlations to support informed decision-making
- Evaluate operational performance and patient care outcomes using statistical tools
Unit 4: Predictive Analytics and Modelling
By the end of this unit, learners will be able to:
- Develop predictive models to forecast trends in pharmacy and healthcare operations
- Apply data-driven and machine learning approaches to assess risks and optimise processes
- Utilise predictive analytics to support proactive and evidence-based decision-making
Unit 5: Data Visualisation and Reporting
By the end of this unit, learners will be able to:
- Create clear and actionable data visualisations to communicate complex information
- Produce reports that effectively inform stakeholders and support decision-making
- Utilise dashboards and business intelligence tools to present insights in pharmacy practice
Unit 6: Research, Innovation, and Continuing Professional Development (CPD)
By the end of this unit, learners will be able to:
- Conduct research projects to enhance pharmacy operations and patient outcomes
- Implement innovative strategies and analytical approaches in pharmacy data analytics
- Engage in Continuing Professional Development (CPD) to maintain expertise and advance professional capabilities
The LICQual Level 6 Diploma in Pharmacy Data Analytics is specifically designed for professionals seeking to develop advanced skills in data analytics, evidence-based decision-making, and pharmacy operations. This qualification is ideal for learners who wish to enhance their career prospects, strengthen their Continuing Professional Development (CPD), and acquire practical expertise in managing and interpreting pharmacy and healthcare data.
This course is particularly suitable for:
- Pharmacists, pharmacy managers, and healthcare professionals looking to integrate data analytics into clinical and operational decision-making
- Data analysts and IT specialists in healthcare settings seeking to specialise in pharmacy data management and predictive modelling
- Academics and researchers involved in pharmacy, healthcare informatics, or pharmaceutical data studies
- Professionals in regulatory affairs, quality assurance, and pharmacy operations aiming to leverage data to improve compliance, efficiency, and patient outcomes
- CPD-focused learners committed to developing advanced analytical, technical, and strategic skills in the pharmacy sector
By enrolling in this diploma, learners will gain the expertise required to analyze complex pharmacy data, develop predictive insights, implement data-driven strategies, and support high-quality patient care and operational excellence. The programme equips learners to become highly skilled professionals capable of driving innovation and informed decision-making within pharmacy and healthcare organizations.
Centres delivering the LICQual Level 6 Diploma in Pharmacy Data Analytics must adhere to rigorous standards to ensure learners receive a high-quality, professional, and engaging learning experience. Meeting these requirements guarantees that learners develop the advanced knowledge, practical skills, and professional competencies necessary to excel in pharmacy data analytics.
- Qualified and Experienced Staff – Tutors, trainers, and assessors must possess relevant academic qualifications and professional experience in pharmacy, healthcare data analytics, or related fields. Staff should actively participate in Continuing Professional Development (CPD) to remain up-to-date with data analytics techniques, pharmacy operations, and regulatory requirements.
- Access to Learning and Analytical Resources – Centres must provide learners with up-to-date study materials, digital platforms, software tools, datasets, and practical resources to support both theoretical and applied learning.
- Specialized Facilities and Technology – Centres should maintain computer labs, data analysis software, simulation environments, and other technology required for practical data analytics exercises and real-world projects.
- Robust Quality Assurance Systems – Centres must implement internal quality assurance processes, including learner progress monitoring, assessment verification, and compliance with LICQual standards.
- Comprehensive Learner Support – Learners should have access to academic guidance, mentoring, and professional support to enhance their analytical skills, practical competencies, and CPD outcomes.
- Commitment to Educational Excellence – Centres must uphold high standards of teaching, assessment, and learner engagement to ensure learners develop the skills, knowledge, and professional competencies required to succeed in pharmacy data analytics and contribute effectively to healthcare decision-making.
By meeting these requirements, centres provide a world-class learning environment, equipping learners to become highly skilled professionals capable of driving innovation, evidence-based decision-making, and operational excellence within pharmacy and healthcare organizations.
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.
