MSc Statistics with Medical Applications

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Ready yourself for an exciting career at the forefront of regenerative medicine by learning the latest in human embryonic stem cell techniques.

Through theoretical and hands-on practical skills training, you’ll explore this fast moving field. You'll cover techniques such as how to grow and culture human pluripotent stem cells (hPSC) and their malignant equivalent, embryonal carcinoma cells. You’ll also learn methods for manipulating hPSCs in culture, monitoring and directing their differentiation.

Stem cell research can help to uncover some of the mysteries of life and aid the development of novel therapeutic approaches to combat disease. We’ll show you how academic labs, as well as those in the biotechnology and pharmaceutical industries, use cutting-edge techniques to identify candidates for potential therapies.

Alongside your lab work, you’ll gain an understanding of the current controversies in the field and the limitations and potential applications of tissue engineering for medical applications, drug discovery and food manufacturing.

The most substantial part of the course is the research project. You’ll spend three months researching an area of stem cell biology or regenerative medicine that matches your future career aspirations from a range of projects. This may include exploring cancer stem cells in brain tumours, RNAi therapeutics or Covid proteins.

Example research projects include:

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • The Statistician's Toolkit
  • Bayesian Statistics and Computational Methods
  • Medical Statistics
  • Dissertation (MSc Statistics with Medical Applications)
  • Economic Evaluation
  • Epidemiology
  • Systematic Reviews and Critical Appraisal Techniques
  • Qualitative Research Design and Analysis
  • Machine Learning
  • Sampling Theory and Design of Experiments
  • Time Series
  • Economic Evaluation in International Health Technology Assessment DL
  • Systematic Reviews and Evidence Synthesis: Principles DL
  • Randomised Controlled Trials to Support Reimbursement Decision Making DL
  • Cost-effectiveness Modelling in International Health Technology Assessment DL
  • Building Cost-effectiveness Models for Health Technology Assessment
  • Utility and Patient-reported Outcomes Data in Health Technology Assessment
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    2 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs