Advanced LICQual Level 7 Pharmacy Data Analytics Diploma
In today’s healthcare landscape, data is more than numbers—it is the key to unlocking better patient outcomes, efficient systems, and innovative pharmaceutical solutions. The ability to interpret, analyze, and apply data effectively has become one of the most sought‑after skills in modern pharmacy. Pharmacy data analytics is transforming the way medicines are managed, therapies are optimized, and healthcare decisions are made. By harnessing the power of analytics, professionals can identify trends, reduce risks, and ensure safer, more personalized treatments.
The LICQual Level 7 Postgraduate Diploma in Pharmacy Data Analytics (PgD Pharmacy Data Analytics) emphasizes the growing importance of this discipline. Pharmacy data analytics is not just about technology—it is about bridging science with actionable insights that improve patient care and strengthen healthcare systems. As the demand for evidence‑based decision‑making rises globally, professionals trained in this field are essential for driving innovation and ensuring accountability. For learners, engaging with pharmacy data analytics is more than academic—it is an opportunity to influence healthcare reform, enhance professional credibility, and play a pivotal role in shaping the future of pharmaceutical practice.
Program Outline
The LICQual Level 7 Postgraduate Diploma in Pharmacy Data Analytics (PgD Pharmacy Data Analytics) is a structured qualification designed to provide learners with advanced expertise in pharmaceutical data management and healthcare insights. Comprising 6 specialized units and worth 120 credits, the program introduces learners to areas such as statistical modeling, predictive analytics, patient safety frameworks, compliance with international standards, ethical considerations, and global best practices in pharmacy data analytics.
This section highlights how the course prepares learners to apply evidence‑based approaches, manage pharmaceutical data effectively, and align with international standards. It outlines the type of learners the program is aimed at, the skills they will gain, and the career pathways available upon completion. Readers will also discover how this internationally recognized qualification opens opportunities in hospitals, pharmaceutical companies, healthcare organizations, and research institutions, making it a valuable credential for anyone aspiring to build a career in pharmacy data analytics.
Unit Structure
| Qualification | Unit Title | Credits | GLH |
| LICQ2201252-1 | Foundations of Pharmacy Data Analytics | 20 | 100 |
| LICQ2201252-2 | Statistical Analysis and Predictive Modelling | 20 | 100 |
| LICQ2201252-3 | Data Visualization and Reporting in Pharmacy | 20 | 100 |
| LICQ2201252-4 | Big Data and Healthcare Informatics | 20 | 100 |
| LICQ2201252-5 | Research Methods and Evidence-Based Practice in Pharmacy Analytics | 20 | 100 |
| LICQ2201252-6 | Leadership, Ethics, and Professional Development in Pharmacy Data Analytics | 20 | 100 |
Who Can Benefit
The LICQual Level 7 Postgraduate Diploma in Pharmacy Data Analytics (PgD Pharmacy Data Analytics) is designed for individuals who want to specialize in data‑driven healthcare, pharmaceutical innovation, and patient safety. This program is particularly valuable for those who aim to address challenges such as data interpretation, predictive modeling, and compliance with international standards. It helps learners strengthen their expertise, improve employability, and prepare for roles where pharmacy data analytics is central to healthcare delivery.
Ideal Learners
- Students aspiring to enter pharmaceutical sciences with a focus on analytics.
- Entry‑level professionals seeking structured training in pharmacy data analytics.
- Pharmacy assistants wanting to expand knowledge of data management and patient safety.
- Community pharmacy staff preparing for responsibilities in healthcare analytics.
- Hospital pharmacy technicians aiming to strengthen skills in compliance and data interpretation.
- Healthcare professionals transitioning into pharmacy data analytics roles.
- Career changers interested in pharmaceutical innovation and data‑driven practice.
- Ambitious learners who want to develop practical skills for pharmacy data analytics careers.
What You’ll Be Able to Do
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
