Career Advancement Programme in Statistical Techniques for Health Technology Assessment

Friday, 27 February 2026 19:06:47

International applicants and their qualifications are accepted

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Overview

Overview

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Career Advancement Programme in Statistical Techniques for Health Technology Assessment provides essential skills for professionals in healthcare and related fields.


This programme focuses on statistical modelling and data analysis for health technology assessment (HTA).


Learn advanced techniques in regression analysis, survival analysis, and economic evaluation.


Designed for researchers, analysts, and decision-makers needing to improve their HTA expertise. Statistical software proficiency will be enhanced.


The Career Advancement Programme in Statistical Techniques for Health Technology Assessment boosts your career prospects. Gain valuable skills for evidence-based healthcare decision making.


Explore the programme details and register today to advance your career in HTA!

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Career Advancement Programme in Statistical Techniques for Health Technology Assessment empowers health professionals to excel in the rapidly evolving field of healthcare analytics. This intensive program equips participants with advanced statistical modeling skills crucial for evidence-based decision-making in health technology assessment (HTA). Gain expertise in regression analysis, survival analysis, and meta-analysis. Boost your career prospects through hands-on projects and networking opportunities. Unique features include mentorship from leading HTA experts and tailored support for career progression. Become a sought-after expert in health technology assessment.

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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)
• Statistical Methods in HTA: Regression Analysis & Causal Inference
• Survival Analysis and Time-to-Event Data in HTA
• Economic Evaluation in HTA: Cost-Effectiveness Analysis
• Bayesian Methods for HTA
• Meta-Analysis and Systematic Reviews in HTA
• Data Management and Statistical Programming for HTA (R/Python)
• Health Technology Assessment Reporting and Communication
• Real-world Data and Observational Studies in HTA

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

40% Cheaper

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 (Health Technology Assessment) Description
Senior Statistician (HTA) Lead statistical analysis for health technology assessments, managing projects and teams. Extensive experience in statistical modelling and report writing required. High demand for advanced statistical techniques in the UK HTA market.
Health Economist & Statistician Combine economic evaluation with robust statistical analysis within the HTA framework. Requires proficiency in both cost-effectiveness analysis and statistical modelling. Strong UK job market growth predicted.
Statistical Programmer (HTA Focus) Develop and maintain statistical programs for HTA projects. Expertise in SAS, R, or similar crucial. High demand for individuals with a clear understanding of HTA methodologies.
Data Scientist (Health Technology Assessment) Apply advanced analytical techniques (machine learning, predictive modelling) to large health datasets within the HTA context. Strong future growth area.
Biostatistician (HTA) Specialise in the design and analysis of clinical trials and observational studies for HTA submissions. Excellent understanding of clinical trial methodology is essential.

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

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This Career Advancement Programme in Statistical Techniques for Health Technology Assessment equips participants with the advanced statistical skills crucial for conducting rigorous health economic evaluations and clinical trials.


The programme's learning outcomes include mastering statistical software like R and SAS, designing and analyzing complex clinical trial data, performing cost-effectiveness analyses, and interpreting results for policy recommendations. Participants gain proficiency in methods such as survival analysis, regression modelling, and meta-analysis, all vital for Health Technology Assessment (HTA).


The duration of this intensive Career Advancement Programme is typically six months, delivered through a blended learning approach combining online modules and in-person workshops. This flexible format allows professionals to continue their current roles while upskilling.


The industry relevance of this programme is undeniable. Graduates are highly sought after by pharmaceutical companies, healthcare consulting firms, regulatory agencies, and research institutions. The skills learned directly address the growing demand for data-driven decision-making in the healthcare sector, ensuring strong career prospects in HTA and related fields. Many graduates find themselves involved in pharmacoeconomic modelling, comparative effectiveness research, and regulatory submissions.


Furthermore, the programme fosters networking opportunities with leading experts and peers, providing invaluable career support and long-term professional development within the health technology assessment sector. The curriculum also incorporates best practices in data management and quality assurance, critical aspects of any HTA related role.

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Why this course?

Career Advancement Programme in Statistical Techniques for Health Technology Assessment (HTA) is increasingly significant in the UK's burgeoning healthcare sector. The demand for skilled statisticians proficient in HTA is rising rapidly. According to the Office for National Statistics, the UK healthcare sector employed over 2.5 million people in 2022, with a projected growth exceeding 10% in the next decade. This expansion fuels the need for professionals skilled in analysing complex healthcare data, driving the importance of specialized training.

This programme equips professionals with advanced statistical methods crucial for HTA, including cost-effectiveness analysis, survival analysis, and Bayesian methods, aligning with the UK's National Institute for Health and Care Excellence (NICE) guidelines. Mastering these techniques is vital for conducting robust HTA, influencing healthcare resource allocation decisions, and improving patient outcomes. The UK's investment in healthcare technology is substantial, creating a market eager for professionals proficient in evidence-based decision-making. Successful completion of this program will greatly enhance career prospects and earning potential in this rapidly evolving field.

Year Number of HTA Professionals (Estimate)
2022 1500
2023 1800
2024 (Projected) 2200

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

Ideal Candidate Profile Specific Skills & Experience
Statisticians and data analysts working in the UK health sector, seeking to enhance their expertise in health technology assessment (HTA). Experience with statistical software (e.g., R, SAS) and a solid foundation in statistical methods. Familiarity with epidemiological data and UK healthcare data is beneficial.
Researchers and analysts involved in clinical trials and economic evaluations within the National Health Service (NHS) or related organisations. Demonstrated ability to interpret complex data sets and draw meaningful conclusions. Understanding of cost-effectiveness analysis and decision-making in healthcare would be advantageous. (Note: Over 80% of NHS trusts rely on robust data analysis for resource allocation, highlighting the demand for these skills.)
Healthcare professionals (e.g., clinicians, policymakers) requiring a stronger understanding of statistical techniques used in HTA reports. A basic understanding of statistics and willingness to improve quantitative analysis skills. Experience with healthcare policy or decision-making processes is desirable. (Over 20,000 clinical trials are registered annually in the UK, emphasizing the need for advanced statistical interpretation.)