The QualCert Level 6 Diploma in Pharmacy Data Analytics (D Pharmacy Data Analytics) is an advanced qualification designed for pharmacy professionals seeking to develop expertise in data analysis, interpretation, and application within the pharmaceutical sector. This diploma is tailored for learners who wish to enhance their career prospects, expand their knowledge, and actively engage in Continuing Professional Development (CPD), equipping them with the skills to make data-driven decisions that improve operational efficiency and patient outcomes.
This qualification provides learners with a comprehensive understanding of data analytics tools, techniques, and methodologies relevant to pharmacy practice. Participants will gain the skills to analyse complex datasets, identify trends, evaluate performance metrics, and apply insights to optimise pharmaceutical operations, clinical services, and business strategies. By integrating statistical methods, predictive analytics, and data visualisation, learners will be empowered to support evidence-based decision-making and enhance the quality of healthcare delivery.
Centres delivering this qualification must maintain competent and qualified staff and provide all necessary materials, facilities, and resources to ensure high-quality teaching, assessment, and learner support. This guarantees a professional learning environment that maximises learner success and ensures that participants can fully develop their analytical skills.
Ideal for pharmacists, healthcare analysts, and professionals involved in pharmaceutical operations or management, the QualCert Level 6 Diploma in Pharmacy Data Analytics equips learners with the knowledge, tools, and expertise to advance in data-driven roles. This qualification prepares learners to interpret complex information, improve operational decision-making, and contribute to the strategic development of pharmacy services and healthcare delivery systems.
Course Contents of QualCert Level 6 Diploma in Pharmacy Data Analytics (D Pharmacy Data Analytics):
The QualCert Level 6 Diploma in Pharmaceutical Technology and Quality Assurance (D Pharmaceutical Technology), 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 |
| QC30095- 1 | Introduction to Pharmacy Data Analytics | 20 | 100 | 200 |
| QC30095-2 | Statistical Methods for Pharmacy Data | 20 | 100 | 200 |
| QC30095-3 | Data Management and Governance | 20 | 100 | 200 |
| QC30095-4 | Predictive Analytics and Modelling in Pharmacy | 20 | 100 | 200 |
| QC30095-5 | Data Visualisation and Reporting | 20 | 100 | 200 |
| QC30095-6 | Research, Innovation, and Professional Practice | 20 | 100 | 200 |
Entry Requirements for the QualCert Level 6 Diploma in Pharmacy Data Analytics (D Pharmacy Data Analytics):
Minimum Age
- Learners must be 19 years or older at the start of the qualification.
Educational Background
- A recognised qualification in Pharmacy, Pharmaceutical Science, Healthcare, Data Science, or a related discipline at Level 5 (or equivalent) is required. A bachelor’s degree or higher in a relevant field is preferred.
Professional Experience
- Learners should have a minimum of two years’ experience in pharmacy practice, healthcare analytics, or roles involving data management and decision-making.
Language Proficiency
- Learners must demonstrate strong English language skills, typically at CEFR Level B2 or an equivalent standard, to participate effectively in coursework, assessments, and professional discussions.
Commitment to Continuing Professional Development (CPD)
- Applicants should show a clear commitment to Continuing Professional Development (CPD) and to improving analytical skills and decision-making within pharmacy practice.
Access to Required Resources
- Learners must have access to appropriate study materials, computing devices, data analysis software, and a reliable learning environment to complete assignments and engage fully in learning activities.
Learning Outcomes for QualCert Level 6 Diploma in Pharmacy Data Analytics (D Pharmacy Data Analytics):
Introduction to Pharmacy Data Analytics
- Understand the fundamental concepts and principles of data analytics in pharmacy
- Identify and classify different types of data used in pharmaceutical practice
- Analyse the role of data in improving pharmacy operations and patient outcomes
- Apply basic analytical techniques to real-world pharmacy scenarios
Statistical Methods for Pharmacy Data
- Apply statistical techniques to analyse pharmacy datasets
- Interpret data trends and patterns to inform decision-making
- Use probability and statistical models to support evidence-based practice
- Critically evaluate the validity and reliability of analytical results
Data Management and Governance
- Implement effective data collection, storage, and organisation strategies
- Ensure data quality, integrity, and compliance with regulatory standards
- Apply principles of data security and confidentiality in pharmacy practice
- Evaluate governance frameworks to manage pharmacy data responsibly
Predictive Analytics and Modelling in Pharmacy
- Develop predictive models to forecast pharmacy trends and outcomes
- Apply trend analysis techniques to optimise operational and clinical decision-making
- Evaluate model accuracy and adjust strategies based on predictive insights
- Integrate predictive analytics into pharmacy planning and management processes
Data Visualisation and Reporting
- Create clear and effective visual representations of complex pharmacy data
- Develop dashboards, charts, and reports to communicate findings to stakeholders
- Interpret and present data insights to support decision-making
- Evaluate the effectiveness of visualisation methods in conveying analytical results
Research, Innovation, and Professional Practice
- Conduct evidence-based research using pharmacy data analytics
- Apply innovative analytical techniques to solve real-world pharmacy challenges
- Reflect on professional practice to improve analytical skills and outcomes
- Contribute to the development and advancement of pharmacy data analytics practice
The Course is ideal for :
- Practising pharmacists and pharmacy technicians looking to specialise in data analytics and evidence-based decision-making
- Healthcare professionals aiming to improve operational efficiency and patient outcomes through data-driven insights
- Pharmacy managers and supervisors responsible for monitoring performance, quality, and service optimisation
- Professionals involved in pharmaceutical data management, reporting, or research
- Learners committed to Continuing Professional Development (CPD) and advancing their analytical skills in pharmacy practice
- Individuals seeking to leverage data for strategic planning and operational improvement within pharmacy and healthcare settings
- Professionals aspiring to take on advanced, data-driven roles in pharmacy operations, management, or healthcare analytics
Centres delivering the QualCert Level 6 Diploma in Pharmacy Data Analytics (D Pharmacy Data Analytics) must meet high standards to ensure learners receive quality training, robust support, and access to all necessary resources. These requirements ensure excellence in teaching, assessment, and learner experience, enabling participants to achieve their full potential.
- Must employ competent and qualified staff with expertise in pharmacy data analytics and education
- Provide adequate learning materials, computing facilities, and data analysis tools to support effective teaching and assessment
- Ensure access to up-to-date pharmacy datasets, software, and digital resources for learners
- Maintain robust quality assurance processes to monitor, evaluate, and improve course delivery standards
- Offer efficient administrative support to manage learner records, assessments, and communications
- Provide guidance and support services to assist learners throughout the programme
- Ensure compliance with health, safety, and data protection regulations in all learning environments
- Commit to continuous improvement and professional development for teaching and assessment staff