MSc Genomic Medicine

For entry in the academic year beginning September 2027, the tuition fees are as follows:

• MSc (full-time)
  UK students (per annum): £14,400
  International, including EU, students (per annum): £38,000
• MSc (part-time)
  UK students (per annum): £7,200
  International, including EU, students (per annum): £19,000
• PGDip (part-time)
  UK students (per annum): £5,750
  International, including EU, students (per annum): £15,200
• PGCert (full-time)
  UK students (per annum): £5,800
  International, including EU, students (per annum): £15,200
• PGCert (part-time)
  UK students (per annum): £2,900
  International, including EU, students (per annum): £7,600
• Modular (part-time)
  UK students (per annum): £1,400 per 15 credits
  International, including EU, students (per annum): £3,700 per 15 credits

The fees quoted above are fully inclusive of tuition, administration and computational costs.

Fees for entry are subject to yearly review. The University reserves the right to increase your tuition fee by up to 7% each year for courses lasting more than one year, including to reflect rising costs associated with delivering our educational and wider student experience. Postgraduate fees information .

Always contact the admissions team if you are unsure which fee applies to your qualification award and method of attendance.

International student CAS deposit

Self-funded international applicants are required to pay a deposit of £2500 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. Some applicants will be required to pay a higher deposit. More information on tuition fee deposits .

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

For the latest scholarship and bursary information, please visit the fees and funding page.

Funding is available to NHS staff for course units on this programme through NHS England.

International scholarships

Scholarships for international students are available through the Global Futures scheme. Visit the scholarship page to find out more about eligibility and how to apply.

This unit will provide the student with the skills to understand economic evidence generated from model-based economic evaluations of interventions relevant to human genomics. The aim is for students to be able to critically appraise model-based economic evaluations to assess whether the evidence is relevant to their jurisdiction and particular resource allocation decision problem. The course materials will provide an introduction to the key economic principles and theories that underpin the use of methods of economic evaluation, describe the different methods of economic evaluation, the role of model based economic evaluations and provide applied examples of how to structure and critique model-based economic analyses.

The aim of this module is to enable students to understand the role and application of model-based economic evaluations in the context of evaluating human genomic technologies and services.

 The specific course objectives are to:

• Understand the concept of opportunity cost and its role in decision making
• Understand the theories underpinning the economic evaluation of healthcare interventions
• Understand the different methods and types of economic evaluation with their advantages and disadvantages
• Understand the advantages and disadvantages of using trial or model-based economic evaluations to generate economic evidence suitable for resource allocation decision making
• Understand the different types of model-based economic evaluations
• Understand the basic approach to conceptualise and structure a model-based economic evaluation
• Understand how to value patient benefits for use in model-based economic evaluations and the role of health status and quality adjusted life years
• Be aware of other measures of benefit that extend beyond health status
• Understand how to identify and quantity resource use and costs for use in model-based economic evaluations
• Understand how to populate a model-based economic evaluation
• Know how to critically appraise published model-based economic evaluations of genomic technologies and services

Interactive face to face lectures

Interactive structured workshops

Online video lectures

Online discussion forum

Structured tasks for student to complete on their own and feedback in a group session

• Illustrate opportunity cost
• Appraise key theories underpinning methods of economic evaluation
• Compare the methods and types of economic evaluation
• Appraise the role and types of model-based economic evaluations
• Demonstrate the importance of model conceptualisation
• Assess the principles of how to structure and populate a model-based economic evaluation
• Define what is a quality adjusted life year
• Define the types of healthcare resource use and costs

Apply the available tools to critically appraise published model-based economic evaluations

• Critical appraisal of economic evidence
• Quantitative analytical skills

Use of Excel to build an economic model

• Group working
• Develop critical thinking and appraisal of evidence

Written Feedback given.

Includes but is not limited to:

• Rachel A Elliott & Katherine Payne. Essentials of economic evaluation in health care. The Pharmaceutical Press, January 2005. ISBN 0 85369 574 1
• Michael F. Drummond, Mark J. Sculpher, George W. Torrance, Bernie J. O'Brien, and Greg L. Stoddart. Methods for the Economic Evaluation of Health Care Programmes. Third Edition. Oxford University Press, 2005. ISBN 978-0-19-852945-3
• J. Jaime Caro, Andrew H. Briggs, Uwe Siebert, Karen M. Kuntz.  Modeling Good Research Practices—Overview: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1. Value in Health 2012; 15 (6): 796–803
• Mark Roberts, Louise B. Russell, A. David Paltiel, Michael Chambers, Phil McEwan, Murray Krahn. Conceptualizing a Model: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-2. Value in Health 2012; 15(6): 804–811
• Uwe Siebert, Oguzhan Alagoz, Ahmed M. Bayoumi, Beate Jahn, Douglas K. Owens, David J. Cohen, Karen M. Kuntz. State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3. Value in Health 2012; 15(6): 812–820
• Jonathan Karnon, James Stahl, Alan Brennan, J. Jaime Caro, Javier Mar, Jörgen Möller. Modeling using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-4. Value in Health 2012; 15 (6): 821–827
• Richard Pitman, David Fisman, Gregory S. Zaric, Maarten Postma, Mirjam Kretzschmar, John Edmunds, Marc Brisson . Dynamic Transmission Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-5. Value in Health 2012; 15 (6): 828–834
• Don Husereau, Michael Drummond, Stavros Petrou, Chris Carswell, David Moher, Dan Greenberg, Federico Augustovski, Andrew H. Briggs, and others. Consolidated Health Economic Evaluation Reporting Standards (CHEERS)—Explanation and Elaboration: A Report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force. Value in Health 2013; 16 (2): 231–250
• Maria Cristina Peñaloza Ramos, Pelham Barton, Sue Jowett, Andrew John Sutton . A Systematic Review of Research Guidelines in Decision-Analytic Modeling. Value in Health 2015 (in press)
• J. Jaime Caro, David M. Eddy, Hong Kan, Cheryl Kaltz, Bimal Patel, Randa Eldessouki, Andrew H. Briggs.  Questionnaire to Assess Relevance and Credibility of Modeling Studies for Informing Health Care Decision Making: An ISPOR-AMCP-NPC Good Practice Task Force Report. Value in Health 2014; 17(2): 174–182

Drummond, M, Barbieri, M, Cook, J, et al.  Transferability of Economic Evaluations Across Jurisdictions: ISPOR Good Research Practices Task Force Report. Value in Health 2009;12:4:409-418