Career Advancement Programme in Statistical Analysis for Health Technology Assessment

Thursday, 25 September 2025 12:45:30

International applicants and their qualifications are accepted

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Overview

Overview

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Statistical Analysis for Health Technology Assessment is a career advancement programme designed for healthcare professionals and researchers.


This programme focuses on improving your skills in statistical modelling and data analysis techniques crucial for health technology assessment (HTA).


Learn to conduct rigorous statistical analyses, interpret complex datasets, and effectively communicate findings in HTA reports.


Statistical Analysis is vital for evidence-based decision-making in healthcare. Master this skill and boost your career prospects.


The programme offers practical application and case studies. It's perfect for biostatisticians, epidemiologists, and health economists.


Enhance your expertise in statistical methods for HTA. Register today and elevate your career!

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Career Advancement Programme in Statistical Analysis for Health Technology Assessment equips you with cutting-edge statistical skills crucial for the thriving Health Technology Assessment (HTA) field. This intensive programme provides hands-on experience in analysing complex healthcare data, mastering techniques like regression analysis and survival analysis, essential for economic evaluation and clinical trial data analysis. Gain expertise in R programming, a highly sought-after skill, boosting your career prospects in pharmaceutical companies, regulatory agencies, and research institutions. Advance your career in statistical modelling within the expanding world of HTA. Enhance your CV and open doors to exciting opportunities with this transformative Career Advancement Programme in Statistical Analysis.

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 Health Technology Assessment (HTA) and its Statistical Foundations
• Statistical Methods for Clinical Trials in HTA (including meta-analysis)
• Regression Modeling for Effectiveness and Cost-Effectiveness Analysis
• Survival Analysis and Time-to-Event Data in HTA
• Bayesian Methods in Health Economic Evaluations
• Decision Modeling and Markov Models for HTA
• Data Management and Statistical Programming for HTA (R or SAS)
• Communicating Statistical Findings for HTA audiences (report writing & presentations)

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 (Primary: Statistical Analyst, Secondary: Health Technology Assessment) Description
Health Economist & Statistician Analyze cost-effectiveness of healthcare interventions, using statistical modelling for Health Technology Assessment (HTA). High demand for expertise in Bayesian methods.
Biostatistician (Pharmaceutical Industry) Conduct statistical analysis of clinical trial data, supporting drug development and regulatory submissions within the HTA framework. Requires strong programming skills (R/SAS).
Medical Statistician (NHS) Support research and service improvement projects within the NHS, employing advanced statistical methods for evaluating healthcare programs. Experience in public health data analysis is beneficial.
Data Scientist (Health Informatics) Develop and apply machine learning techniques to large healthcare datasets, contributing to better HTA decision making. Requires expertise in big data management.

Key facts about Career Advancement Programme in Statistical Analysis for Health Technology Assessment

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A Career Advancement Programme in Statistical Analysis for Health Technology Assessment equips participants with advanced skills in analyzing complex healthcare data. The program focuses on developing expertise in statistical modeling, specifically tailored for the needs of health technology assessment (HTA).


Learning outcomes include mastering techniques in survival analysis, meta-analysis, and cost-effectiveness modeling. Participants will gain proficiency in using specialized statistical software packages like R and SAS, crucial for HTA reporting and decision-making. The program also emphasizes the interpretation and communication of complex statistical findings for diverse audiences, including healthcare professionals and policymakers.


The duration of the Career Advancement Programme typically ranges from several months to a year, depending on the intensity and specific modules included. This may involve a blended learning approach combining online coursework, workshops, and potentially practical projects using real-world HTA datasets.


This program holds significant industry relevance. The demand for skilled statisticians experienced in health technology assessment is continuously growing. Graduates are well-positioned for careers in pharmaceutical companies, regulatory agencies, healthcare consulting firms, and research institutions. The specialized nature of the statistical analysis training directly addresses the needs of these organizations, making it a valuable asset in a competitive job market. This includes skills in evidence synthesis, clinical trial data analysis, and economic evaluations, directly applicable to the field of health economics.


Ultimately, a Career Advancement Programme in Statistical Analysis for Health Technology Assessment provides a focused pathway to career progression for those seeking to specialize in this critical area of healthcare research and decision-making. The practical skills learned significantly enhance employability and contribute to advancing the quality and efficiency of healthcare systems globally.

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Why this course?

Year Number of HTA Professionals
2020 5000
2021 5500
2022 6000

Career Advancement Programme in Statistical Analysis for Health Technology Assessment (HTA) is increasingly significant in the UK. The demand for skilled statisticians in HTA is rising rapidly, driven by the increasing complexity of healthcare data and the growing need for robust evidence-based decision-making. The NHS, for example, invests heavily in HTA to ensure cost-effective healthcare solutions. According to a recent survey, the number of HTA professionals in the UK has seen a substantial increase in the last few years (see chart and table). This growth reflects the expanding scope of HTA, encompassing areas such as pharmacoeconomics and clinical trial data analysis.

A career advancement programme focusing on advanced statistical techniques, including Bayesian methods and machine learning, is crucial for professionals seeking to enhance their skills in this competitive field. These programs equip individuals with the tools to analyse complex datasets, enabling better informed decisions regarding the value and effectiveness of new health technologies. This, in turn, improves healthcare efficiency and patient outcomes, fulfilling a critical need within the UK's National Health Service and the wider healthcare sector. Opportunities abound for those with the right statistical analysis skills within HTA.

Who should enrol in Career Advancement Programme in Statistical Analysis for Health Technology Assessment?

Ideal Candidate Profile Description
Career Level Early to mid-career professionals (e.g., analysts, researchers) seeking to advance their statistical skills in health technology assessment (HTA). The UK currently employs over 50,000 people in the healthcare sector; this program equips professionals for career growth within this expanding field.
Education Background A bachelor's degree in statistics, mathematics, or a related quantitative field is preferred. Strong foundational knowledge in statistical modelling and data analysis is essential. Those with a passion for applying statistical methods to real-world health problems will thrive.
Professional Experience Experience in the pharmaceutical industry, healthcare research, or related sectors would be beneficial, though not mandatory. This Career Advancement Programme is designed to bridge the gap between theoretical knowledge and practical application within HTA.
Skills & Interests Demonstrated proficiency in statistical software (e.g., R, SAS). Keen interest in health economics, clinical trials, and the application of statistical methods to evaluate the effectiveness and cost-effectiveness of healthcare interventions.