Health Economics and Decision Modelling
Entry requirements
Minimum 2:1 undergraduate honours degree in a relevant subject, with relevant quantitative modules or a Medical degree.
Subject requirements
We accept degrees in the following subject areas:
- Business (with quantitative focus)
- Computer Science
- Data Sciences
- Economics
- Engineering including Industrial Engineering
- Environmental Science
- Finance / Accounting
- Geography (with quantitative focus)
- Management
- Mathematics
- Medicine
- Operational Research
- Pharmacy
- Physics
- Psychology
- Statistics
- Sociology (with quantitative focus)
- Systems and Control Engineering
- Any substantially quantitative discipline
Module requirements
You should have studied at least two quantitative mathematics modules from the following areas:
- Algebra
- Econometrics
- Economics
- Epidemiology
- Macroeconomics
- Mathematics
- Microeconomics
- Optimisation
- Probability
- Simulation Modelling
- Statistics
We may also consider other related modules.
We also consider a wide range of international qualifications: Entry requirements for international students
We assess each application on the basis of the applicant’s preparation and achievement as a whole. We may accept applicants whose qualifications don’t meet the published entry criteria but have other experience relevant to the course.
The lists of required degree subjects and modules are indicative only. Sometimes we may accept subjects or modules that aren’t listed, and sometimes we may not accept subjects or modules that are listed, depending on the content studied.
Months of entry
September
Course content
Develop analytical skills for a career in health economics. Learn to measure, model, and evaluate healthcare interventions to inform public health decisions. Employers praise our course for its hands-on experience, making graduates job-ready from day one.
Course description
Want to make a real difference in healthcare? Our MSc in Health Economics & Decision Modelling gives you the skills to analyse real-world health challenges and influence key decisions. Whether it’s evaluating new treatments, improving public health strategies, or making sure healthcare resources are used wisely.
You’ll learn how to assess the cost-effectiveness of medical interventions, model healthcare outcomes, and use data to inform policy. We’ll take you beyond theory, giving you hands-on experience and the practical skills that employers look for.
This course covers medical statistics, evidence synthesis, and econometric methods, applying them to clinical trials and real-world data. You'll learn to build and use mathematical models and simulations to support healthcare decisions, with full training in research methods.
Your final project will be a three-month dissertation project where you’ll tackle real-world health problems, working with experts from the NHS, academia and industry. By the time you graduate, you’ll have the confidence and experience to step straight into a career.
Do you have a question? Talk to us
Book a 15-minute online meeting with our course lead to find out more information and ask further questions.
Book an appointment with Dr Tessa Peasgood
Please see our University website for the most up-to-date course information here
Information for international students
English language requirements
IELTS 6.5 (with 6 in each component) or University equivalent.
Fees and funding
Qualification, course duration and attendance options
- MSc
- part time24-36 months
- Campus-based learningis available for this qualification
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Postgraduate Admissions Tutor
- study@sheffield.ac.uk