The LICQual Level 7 Postgraduate Diploma in Pharmacy Data Analytics (PgD Pharmacy Data Analytics) is an advanced qualification designed for experienced pharmacy and healthcare professionals who wish to develop specialized expertise in data-driven decision-making, analytical methods, and healthcare informatics. This postgraduate diploma is ideal for learners seeking to enhance their career prospects, expand their professional knowledge, and actively engage in Continuing Professional Development (CPD). It provides a comprehensive understanding of data collection, statistical analysis, predictive modelling, and the application of analytics to optimize pharmacy practice, patient care, and organizational performance.
This programme is particularly suitable for pharmacists, clinical researchers, healthcare data analysts, and professionals involved in pharmaceutical management and policy. Learners will acquire the skills to interpret complex datasets, implement evidence-based strategies, monitor pharmacy outcomes, and contribute to informed decision-making within healthcare systems. The course equips learners to translate analytical insights into practical solutions, improving efficiency, safety, and effectiveness in pharmacy services.
LICQual ensures that centres delivering this Level 7 qualification maintain the highest standards of education. Centres must employ competent and qualified staff with extensive experience in pharmacy, data analytics, and healthcare informatics, and provide learners with access to essential materials, software tools, databases, and digital resources. This guarantees a rigorous, supportive, and engaging learning environment that promotes learner success, professional growth, and practical application of data analytics in pharmacy practice.
By completing this diploma, learners will achieve a prestigious Level 7 qualification, positioning themselves as experts in pharmacy data analytics and equipping them to make a meaningful impact on clinical decision-making, operational efficiency, and healthcare innovation.
Course Overview
Qualification Title
LICQual Level 7 Postgraduate Diploma in Pharmacy Data Analytics (PgD Pharmacy Data Analytics)
Total Units
6
Total Credits
120
GLH
600
Qualification #
LICQ2201252
Qualification Specification
To enroll in the LICQual Level 7 Postgraduate Diploma in Pharmacy Data Analytics (PgD Pharmacy Data Analytics), applicants must meet the following criteria:
Qualification# |
Unit Title 19522_397512-38> |
Credits 19522_a7f43f-2a> |
GLH 19522_6da3a2-62> |
---|---|---|---|
LICQ2201252-1 19522_c299b9-79> |
Foundations of Pharmacy Data Analytics 19522_a99085-81> |
20 19522_8b01c9-0d> |
100 19522_eceadc-6d> |
LICQ2201252-2 19522_10b4cc-c4> |
Statistical Analysis and Predictive Modelling 19522_9cdec9-cb> |
20 19522_4a7ee4-4d> |
100 19522_4b814c-63> |
LICQ2201252-3 19522_b1040f-f6> |
Data Visualization and Reporting in Pharmacy 19522_a3dcf5-d8> |
20 19522_861213-bd> |
100 19522_e9837e-02> |
LICQ2201252-4 19522_28407c-d3> |
Big Data and Healthcare Informatics 19522_033bde-92> |
20 19522_df2150-32> |
100 19522_5631a5-fc> |
LICQ2201252-5 19522_b75d8c-8a> |
Research Methods and Evidence-Based Practice in Pharmacy Analytics 19522_a74450-70> |
20 19522_8d3325-bb> |
100 19522_ed9d91-2b> |
LICQ2201252-6 19522_9a6a22-80> |
Leadership, Ethics, and Professional Development in Pharmacy Data Analytics 19522_ee9191-98> |
20 19522_9af49d-0c> |
100 19522_cc0103-31> |
By the end of this course, learners will be able to:
Unit 1: Foundations of Pharmacy Data Analytics
Learners will be able to
- Critically analyse the key concepts of data analytics, statistics, and informatics in pharmacy practice
- Apply data collection and management techniques to ensure accuracy and reliability of healthcare datasets
- Evaluate data quality and identify strategies to improve data integrity in pharmacy operations
- Develop approaches to utilise analytical principles to enhance patient care and operational efficiency
Unit 2: Statistical Analysis and Predictive Modelling
Learners will be able to
- Critically analyse the key concepts of data analytics, statistics, and informatics in pharmacy practice
- Apply data collection and management techniques to ensure accuracy and reliability of healthcare datasets
- Evaluate data quality and identify strategies to improve data integrity in pharmacy operations
- Develop approaches to utilise analytical principles to enhance patient care and operational efficiency
Unit 3: Data Visualization and Reporting in Pharmacy
Learners will be able to
- Design effective data visualizations and dashboards for pharmacy datasets
- Communicate complex analytical insights clearly to stakeholders and decision-makers
- Apply reporting tools to support evidence-based decision-making in pharmacy practice
- Evaluate the impact of data presentation on operational and clinical outcomes
Unit 4: Big Data and Healthcare Informatics
Learners will be able to
- Analyse the role of big data, electronic health records, and digital systems in pharmacy
- Apply data integration and management techniques to large-scale healthcare datasets
- Evaluate data security and governance practices within pharmacy informatics
- Develop strategies to leverage big data to improve clinical and operational outcomes
Unit 5: Research Methods and Evidence-Based Practice in Pharmacy Analytics
Learners will be able to
- Design and conduct research projects relevant to pharmacy data analytics
- Analyse and interpret data to support evidence-based pharmacy practice
- Critically appraise scientific literature and apply findings to policy and practice
- Develop strategies to integrate research outcomes into operational and clinical decision-making
Unit 6: Leadership, Ethics, and Professional Development in Pharmacy Data Analytics
Learners will be able to
- Apply ethical principles and data governance standards in pharmacy analytics
- Demonstrate leadership and project management skills in data-driven pharmacy initiatives
- Develop professional strategies to enhance CPD and career progression
- Lead initiatives that improve data quality, clinical decision-making, and service delivery in pharmacy
The LICQual Level 7 Postgraduate Diploma in Pharmacy Data Analytics is designed for experienced pharmacy and healthcare professionals who wish to advance their expertise in data-driven decision-making, analytics, and healthcare informatics. This course is ideal for:
- Pharmacists and Clinical Practitioners seeking to enhance their ability to interpret and apply data in clinical and operational decision-making
- Healthcare Data Analysts and Informatics Specialists looking to develop advanced skills in data analysis, predictive modelling, and reporting for pharmacy services
- Pharmaceutical Managers and Operational Leaders aiming to optimise processes, improve efficiency, and make evidence-based decisions
- Researchers and Academics wishing to apply analytical methods to healthcare studies and support evidence-based pharmacy practice
- Professionals Committed to CPD and lifelong learning, seeking a prestigious Level 7 qualification to advance their careers and influence data-driven pharmacy strategies
This programme is suitable for learners with substantial experience in pharmacy, healthcare, or data analytics who are motivated to apply advanced analytical techniques, enhance operational efficiency, and make a meaningful impact on patient care, clinical decision-making, and pharmacy practice innovation.
Centres delivering the LICQual Level 7 Postgraduate Diploma in Pharmacy Data Analytics must uphold the highest standards to ensure learners receive a comprehensive and effective learning experience. To deliver this advanced programme successfully, centres are required to:
- Employ Competent and Qualified Staff: Tutors and facilitators must possess extensive experience and relevant qualifications in pharmacy, healthcare data analytics, and informatics to provide expert guidance to learners
- Provide Access to Essential Learning Resources: Centres must ensure learners have access to statistical software, healthcare databases, academic journals, and digital learning platforms necessary for completing analytics projects and assessments
- Maintain Suitable Learning Facilities: Classrooms, laboratories, and online environments should be equipped with modern technology to support interactive teaching, practical exercises, and independent research
- Ensure Compliance with Ethical and Professional Standards: Centres must adhere to professional, legal, and ethical standards in healthcare and data management, including data protection, privacy, and quality assurance
- Support Learner Progress and Development: Centres should implement robust assessment, monitoring, and feedback systems to guide learners successfully through the programme and enhance professional competencies
- Encourage Continuing Professional Development (CPD): Centres should provide opportunities for learners to participate in workshops, seminars, and additional professional development activities to promote ongoing growth
By meeting these requirements, centres ensure that learners enrolled in the PgD Pharmacy Data Analytics programme receive a high-quality, practical, and engaging education that supports career advancement, professional development, and excellence in pharmacy data analytics and healthcare decision-making.
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.