Certificate Programme in Real-world Evidence Generation

Thursday, 29 January 2026 23:17:47

International applicants and their qualifications are accepted

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Overview

Overview

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Real-world evidence generation is revolutionizing healthcare. This Certificate Programme equips you with the skills to design, conduct, and analyze real-world data studies.


Learn to leverage electronic health records (EHRs), claims data, and patient registries. Master statistical methods and regulatory considerations for real-world evidence studies.


Ideal for healthcare professionals, researchers, and data scientists seeking advanced training in this rapidly growing field. Gain practical experience using cutting-edge tools and techniques. Real-world evidence is the future.


Enroll now and advance your career in this impactful field! Explore the program details today.

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Real-world evidence generation is revolutionizing healthcare, and our Certificate Programme equips you with the skills to lead this transformation. Gain practical experience in designing and analyzing real-world data studies using observational data, EHRs, and registries. Develop proficiency in statistical programming and regulatory guidelines for submitting Real-world evidence. This program offers a unique blend of theoretical knowledge and hands-on projects, enhancing your career prospects in pharmaceutical companies, regulatory agencies, or research institutions. Boost your career and become a sought-after expert in Real-world evidence generation today!

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to Real-World Evidence (RWE) and its Applications
• Data Sources for Real-World Evidence Generation: Electronic Health Records (EHRs), Claims Data, Registries
• Real-World Evidence Study Design and Methodology: Observational Studies, Comparative Effectiveness Research
• Data Management and Statistical Analysis for RWE: Data cleaning, statistical modelling, causal inference
• Regulatory Considerations and Ethical Implications of RWE
• Bias and Confounding in Real-World Data and Mitigation Strategies
• Communicating Real-World Evidence: Report writing, visualization, and presentation
• Case Studies in Real-World Evidence Generation: Applications across therapeutic areas

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): 140
2 months (Standard mode): 90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role Description
Real-World Evidence (RWE) Scientist Designs, conducts, and analyses RWE studies to support regulatory submissions and health technology assessments. High demand for statistical programming and data visualization skills.
Data Scientist (RWE Focus) Develops and implements advanced statistical methods using large, real-world datasets to extract valuable insights. Expertise in machine learning algorithms essential.
Biostatistician (RWE) Applies statistical methodologies to analyze RWE data, providing critical support in clinical trials and regulatory filings. Strong programming skills in R or SAS are needed.
Healthcare Data Analyst (RWE) Collects, cleans, and analyzes healthcare data to identify trends and support RWE initiatives. Requires strong data management and SQL skills.
Regulatory Affairs Specialist (RWE) Supports regulatory submissions by preparing documents and presentations based on RWE evidence. Excellent communication and documentation skills are crucial.

Key facts about Certificate Programme in Real-world Evidence Generation

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This Certificate Programme in Real-world Evidence Generation equips participants with the skills to design, conduct, and analyze real-world data studies. The program focuses on practical applications, bridging the gap between theoretical knowledge and industry best practices.


Key learning outcomes include mastering methodologies for observational studies, developing proficiency in data management and statistical analysis techniques relevant to real-world evidence generation, and understanding regulatory requirements for using real-world data in healthcare decision-making. Participants will also gain experience with various software and tools used in this field.


The program's duration is typically flexible, ranging from a few months to a year depending on the chosen intensity and modules. This allows professionals to balance their learning with existing work commitments while achieving a comprehensive understanding of real-world data analytics and pharmacoepidemiology.


The high industry relevance of this Certificate Programme in Real-world Evidence Generation is evident in its practical focus. Graduates are well-prepared for roles in pharmaceutical companies, regulatory agencies, healthcare consulting firms, and research institutions. The skills learned are highly sought after in the rapidly growing field of healthcare analytics and data science.


The curriculum integrates various aspects of data analysis, including statistical modelling and big data management techniques for effective real-world evidence generation. This ensures graduates possess the comprehensive skill set to contribute meaningfully to their chosen fields.


Furthermore, the program often involves case studies and practical projects, enhancing the learning experience and preparing participants for the challenges of real-world applications in the pharmaceutical and healthcare sectors. This hands-on approach strengthens the program's value proposition.

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Why this course?

Certificate Programmes in Real-world Evidence Generation are increasingly significant in today's UK healthcare market. The demand for robust, real-world data analysis is soaring, driven by the need for more efficient and effective healthcare decision-making. The UK National Health Service (NHS), facing increasing pressure to optimize resource allocation, relies heavily on real-world evidence (RWE) to inform policy and treatment strategies. According to a recent study, 70% of pharmaceutical companies in the UK now incorporate RWE into their clinical development programs. This trend reflects the growing understanding of RWE's value in supplementing traditional clinical trials, providing insights into long-term treatment effects and real-world patient populations.

The rising importance of RWE is reflected in the job market. A survey suggests that job postings requiring RWE expertise have increased by 45% in the past two years. This growth underscores the urgent need for professionals skilled in data analysis, statistical modeling, and regulatory compliance within the RWE framework. A Certificate Programme offers a focused and efficient pathway to acquire these critical skills, bridging the gap between academic knowledge and practical application.

Statistic Percentage
Pharmaceutical Companies using RWE 70%
Increase in RWE Job Postings (past two years) 45%

Who should enrol in Certificate Programme in Real-world Evidence Generation?

Ideal Audience for our Real-world Evidence Generation Certificate Programme Characteristics & Statistics
Healthcare Professionals Physicians, nurses, pharmacists, and other clinicians seeking to enhance their understanding of using real-world data (RWD) for improved patient care. The NHS employs over 1.5 million people, many of whom could benefit from this programme.
Pharmaceutical & Biotech Professionals Researchers, regulatory affairs specialists, and medical affairs professionals who need to incorporate real-world evidence (RWE) into drug development, regulatory submissions, and post-market surveillance. The UK's thriving life sciences sector offers significant career advancement opportunities for those proficient in RWE generation.
Data Scientists & Analysts Data scientists and analysts interested in applying their skills to generate impactful real-world evidence using advanced analytical techniques and innovative methodologies. Demand for data science skills continues to grow rapidly across various UK sectors, making this a valuable skillset.
Health Policy Makers & Researchers Individuals involved in shaping healthcare policy and conducting health services research who require a deep understanding of generating robust and reliable real-world evidence for informing decision-making. Evidence-based policymaking is a cornerstone of the UK's healthcare system.