The LICQual Level 3 Certificate in Pharmacy Data Analytics (Cert Pharmacy Data Analytics) is a specialised qualification designed for learners seeking to advance their expertise in the fast-evolving field of pharmacy and healthcare data management. This programme provides in-depth knowledge and practical skills in analysing pharmaceutical data, interpreting trends, and applying evidence-based insights to improve operational efficiency, patient safety, and decision-making processes within healthcare and pharmacy settings.
This qualification is particularly suited to professionals who wish to enhance their career prospects, expand their knowledge, and strengthen their Continuing Professional Development (CPD). By undertaking this certificate, learners gain the ability to utilise advanced analytical tools and techniques, preparing them to take on more strategic roles in the pharmaceutical and healthcare sectors. The course not only equips learners with technical competence but also builds their confidence to contribute effectively to data-driven decision making.
Centres delivering this qualification are required to ensure the highest standards of training. This includes employing competent and qualified staff, as well as providing all necessary materials, tools, and resources needed to support high-quality teaching and learner success. With these measures in place, learners are given the best possible platform to achieve their goals and apply their knowledge in real-world professional environments.
By successfully completing the LICQual Level 3 Certificate in Pharmacy Data Analytics, learners take an important step towards shaping a rewarding career in pharmacy, data analysis, and healthcare innovation.
Course Overview
Qualification Title
LICQual Level 3 Certificate in Pharmacy Data Analytics (Cert Pharmacy Data Analytics)
Total Units
6
Total Credits
60
GLH
240
Qualification #
LICQ2201155
Qualification Specification
To enroll in the LICQual Level 3 Certificate in Pharmacy Data Analytics (Cert Pharmacy Data Analytics), applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH | ||
|---|---|---|---|---|---|
|
LICQ2201155-1 |
|
10 |
40 | ||
|
LICQ2201155-2 |
Data Management and Healthcare Information Systems |
10 |
40 | ||
|
LICQ2201155-3 |
Statistical Tools and Analytical Techniques |
10 |
40 | ||
|
LICQ2201155-4 |
Pharmaceutical Data Interpretation and Reporting |
10 |
40 | ||
|
LICQ2201155-5 |
Regulatory Compliance and Data Governance in Pharmacy |
10 |
40 | ||
|
LICQ2201155-6 |
Applied Pharmacy Data Analytics Project |
10 |
40 |
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:
- Explain the principles, scope, and importance of data analytics in pharmacy and healthcare.
- Identify key types of pharmacy data and their sources.
- Describe the role of data analytics in improving patient outcomes and pharmacy operations.
- Recognise challenges and opportunities in applying analytics to pharmaceutical practices.
Unit 2: Data Management and Healthcare Information Systems
By the end of this unit, learners will be able to:
- Apply methods for accurate data collection, entry, and storage in healthcare systems.
- Demonstrate understanding of healthcare information systems and their integration with pharmacy data.
- Evaluate processes to ensure data quality, accuracy, and consistency.
- Explain principles of data security, confidentiality, and compliance in managing pharmacy data.
Unit 3: Statistical Tools and Analytical Techniques
By the end of this unit, learners will be able to:
- Use statistical methods to analyse and interpret pharmacy datasets.
- Apply analytical techniques such as data modelling and trend analysis.
- Demonstrate competence in using analytical software and digital tools.
- Interpret statistical results to support evidence-based decision-making.
Unit 4: Pharmaceutical Data Interpretation and Reporting
By the end of this unit, learners will be able to:
- Interpret pharmaceutical data to identify patterns, risks, and opportunities.
- Develop and present clear, accurate, and evidence-based reports.
- Communicate analytical findings effectively to different stakeholders.
- Apply data insights to improve pharmaceutical operations and healthcare outcomes.
Unit 5: Regulatory Compliance and Data Governance in Pharmacy
By the end of this unit, learners will be able to:
- Explain regulatory frameworks, laws, and ethical guidelines governing pharmacy data.
- Apply best practices in data governance and data protection.
- Evaluate the impact of compliance and non-compliance on healthcare organisations.
- Promote patient safety and trust through ethical use of pharmacy data.
Unit 6: Applied Pharmacy Data Analytics Project
By the end of this unit, learners will be able to:
- Design and execute a pharmacy data analytics project.
- Apply analytical tools and techniques to real or simulated datasets.
- Demonstrate problem-solving and critical thinking in project execution.
- Present project outcomes in a professional report, showing practical application of learning.
The LICQual Level 3 Certificate in Pharmacy Data Analytics (Cert Pharmacy Data Analytics) is ideal for:
- Pharmacy professionals who want to enhance their skills in data analysis and evidence-based decision-making.
- Healthcare workers and technicians looking to expand their knowledge of pharmaceutical data management and reporting.
- Graduates and learners in pharmacy, healthcare, or life sciences aiming to strengthen their career prospects with specialised data analytics expertise.
- Data analysts and IT professionals who wish to apply their analytical skills specifically within the pharmacy and healthcare sector.
- Pharmacy managers and supervisors seeking to improve operational efficiency, compliance, and patient safety through data-driven insights.
- Professionals committed to Continuing Professional Development (CPD) who want to stay updated with modern practices in pharmacy and healthcare analytics.
- Individuals aspiring to progress into advanced qualifications or roles in healthcare data science, pharmacy informatics, or pharmaceutical research.
Centres delivering the LICQual Level 3 Certificate in Pharmacy Data Analytics (Cert Pharmacy Data Analytics) must meet specific quality standards to ensure effective training delivery and learner success. Approved centres are required to provide the following:
- Qualified and Competent Staff – Trainers and assessors must hold relevant academic and professional qualifications, along with industry experience in pharmacy, healthcare, or data analytics. They should also be skilled in learner support and assessment.
- Appropriate Learning Resources – Centres must have up-to-date study materials, digital resources, statistical tools, and access to healthcare information systems to support effective teaching and learning.
- Adequate Facilities – Training venues should be equipped with suitable classrooms, IT infrastructure, and secure access to data management tools to simulate real-world pharmacy analytics environments.
- Robust Quality Assurance Systems – Centres must have processes in place to monitor teaching standards, learner progress, and assessment reliability in line with international best practices.
- Learner Support Services – Guidance and support must be available to learners throughout the programme, ensuring accessibility, inclusivity, and academic success.
- Commitment to Compliance and CPD – Centres are expected to encourage continuous professional development for both staff and learners, while maintaining compliance with all regulatory and ethical standards in training delivery.
By meeting these centre requirements, training providers can deliver a high-quality learning experience that equips learners with the skills and knowledge to excel in pharmacy data analytics.
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.
