Are you ready to transform the future of pharmacy with the power of data? The LICQual Level 7 Postgraduate Diploma in Pharmacy Data Analytics (PgD Pharmacy Data Analytics) is designed for pharmacists, healthcare professionals, and data specialists who want to master the intersection of pharmacy practice and advanced analytics. This internationally recognized postgraduate diploma equips you with cutting‑edge skills, global accreditation, and career‑boosting recognition.
Pharmacy data analytics is reshaping healthcare by improving patient outcomes, optimizing drug utilization, and driving evidence‑based decisions. With this Level 7 pharmacy qualification, you will gain advanced training in data science, predictive modeling, healthcare informatics, and pharmaceutical business intelligence. The PgD Pharmacy Data Analytics course blends academic excellence with practical application, preparing you to analyze complex datasets, identify trends, and deliver actionable insights that enhance pharmacy operations and patient care.
What makes this program unique is its global relevance and career impact. The LICQual postgraduate diploma in pharmacy data analytics is flexible, affordable, and tailored for professionals who want to balance career growth with advanced training. With a curriculum aligned to international standards, you will be prepared to work in hospitals, pharmaceutical companies, research institutions, and healthcare organizations worldwide.
By enrolling, you join a global network of healthcare leaders and data professionals committed to advancing pharmacy practice through innovation and analytics. This internationally accredited pharmacy data analytics postgraduate program not only enhances your knowledge but also boosts your career prospects, opening doors to leadership roles in healthcare informatics, pharmaceutical research, and data‑driven decision‑making.
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 20164_ee99ed-09> |
Credits 20164_f89ea1-fd> |
GLH 20164_58d0fb-df> |
|---|---|---|---|
|
LICQ2201252-1 20164_e0a818-9d> |
Foundations of Pharmacy Data Analytics 20164_fd16bf-83> |
20 20164_1d4248-15> |
100 20164_ccd6d0-22> |
|
LICQ2201252-2 20164_c83251-f2> |
Statistical Analysis and Predictive Modelling 20164_7ca324-73> |
20 20164_c8f097-f6> |
100 20164_b6274c-af> |
|
LICQ2201252-3 20164_20caff-be> |
Data Visualization and Reporting in Pharmacy 20164_95b6e2-9d> |
20 20164_5ce713-28> |
100 20164_3e10db-71> |
|
LICQ2201252-4 20164_edd856-ff> |
Big Data and Healthcare Informatics 20164_2034de-6b> |
20 20164_64cbae-58> |
100 20164_a2abd9-37> |
|
LICQ2201252-5 20164_10ec53-a9> |
Research Methods and Evidence-Based Practice in Pharmacy Analytics 20164_151c87-8e> |
20 20164_338f65-58> |
100 20164_1e4d45-f6> |
|
LICQ2201252-6 20164_2b618b-89> |
Leadership, Ethics, and Professional Development in Pharmacy Data Analytics 20164_a7ee51-17> |
20 20164_2255ce-b5> |
100 20164_0c3e33-5e> |
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 (PgD Pharmacy Data Analytics) is designed for pharmacists, healthcare professionals, and data specialists who want to master the use of analytics in pharmacy practice. This internationally recognized postgraduate diploma provides advanced skills, global accreditation, and career‑boosting recognition. Whether you are working in hospitals, pharmaceutical companies, or research institutions, this Level 7 pharmacy qualification equips you with the expertise to excel in pharmacy data analytics and healthcare innovation.
1. Practicing Pharmacists
- Pharmacists aiming to integrate data analytics into clinical decision‑making
- Professionals seeking postgraduate qualifications for career progression
- Those interested in evidence‑based pharmacy practice and patient safety
- Individuals looking for internationally recognized pharmacy data analytics diplomas
- Pharmacists wanting to enhance efficiency in drug utilization and healthcare delivery
2. Hospital and Clinical Pharmacists
- Pharmacists working in hospitals managing patient data and treatment outcomes
- Professionals involved in multidisciplinary healthcare analytics teams
- Those responsible for monitoring drug safety and therapeutic effectiveness
- Clinicians seeking postgraduate training in pharmacy data analytics
- Hospital pharmacists aiming for global recognition with a Level 7 qualification
3. Pharmaceutical Industry Professionals
- Scientists and managers working in drug development and pharmaceutical R&D
- Professionals engaged in biopharmaceutical innovation and healthcare analytics
- Those seeking postgraduate training in pharmacy data analytics and informatics
- Industry experts aiming to strengthen data‑driven decision‑making capabilities
- Employees looking for internationally accredited pharmacy qualifications
4. Data Analysts and Healthcare IT Specialists
- Professionals working in healthcare informatics and big data systems
- Analysts seeking specialization in pharmacy and pharmaceutical datasets
- Those responsible for predictive modeling and healthcare optimization
- IT specialists aiming to integrate analytics into pharmacy operations
- Individuals pursuing postgraduate training in pharmacy data analytics
5. Academic and Research Scholars
- Researchers focusing on pharmacy data analytics and healthcare informatics
- Academics seeking postgraduate diplomas for teaching and curriculum development
- Scholars aiming to publish in pharmacy analytics and healthcare journals
- Professionals interested in evidence‑based pharmaceutical interventions
- Those pursuing advanced qualifications to support research funding and grants
6. Early‑Career Pharmacists and Graduates
- Recent graduates seeking specialization in pharmacy data analytics
- Young professionals aiming to boost employability with postgraduate diplomas
- Those wanting to stand out in competitive healthcare job markets
- Graduates interested in advanced pharmacy training aligned with global needs
- Early‑career pharmacists seeking structured career pathways in data analytics
7. Healthcare Policy Makers and Administrators
- Professionals shaping pharmacy data analytics and healthcare policies
- Administrators overseeing pharmacy education and healthcare training programs
- Leaders aiming to integrate analytics expertise into healthcare strategies
- Policy makers requiring advanced knowledge of pharmacy data frameworks
- Healthcare managers seeking internationally recognized postgraduate qualifications
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.
