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                     M.Sc. Genetic Epidemiology
               M.Sc. Statistical Genetics (New Course)

http://www.shef.ac.uk/medicine/prospectivepg/taught/mscge/index.html

GENETIC EPIDEMIOLOGY is the study of the genetic basis of disease in human 
populations. It develops and uses mathematics and statistics to study the role of genes 
in disease causation and severity, and to locate their position in the human genome. 
Such studies can lead to possible therapies. Both courses provide training in this area. 
The new  M.Sc. in Statistical Genetics is aimed specifically at graduates in 
disciplines with a high mathematical content and is more focused on methodological 
issues. 

The Genetic Epidemiology M.Sc. is aimed at:
*   Graduates in Genetics/Biology/Medicine.
*   Practitioners in Genetics/Epidemiology who wish to acquire some knowledge 
    of parts of the area.
*   Graduates in Maths./Stats./Computer Science wishing to move into the field

The Statistical Genetics M.Sc. is aimed at:
*   Graduates in Maths./Stats./Other subjects with a substantial component of 
    these.

There is currently a worldwide demand for trained Genetic 
Epidemiologists/Statistical Geneticists in the Pharmaceutical and Biotechnology 
industries, and in research establishments. In recognition of this the Division of 
Genomic Medicine, University of Sheffield launched a new M.Sc. in Genetic 
Epidemiology in October, 1999 with financial support from Glaxo-Wellcome. The 
course has been very successful and is now in its seventh year. The Statistical 
Genetics M.Sc. is a new course for 2006/2007. To our knowledge this is the first UK 
M.Sc. in Statistical Genetics, and the only dedicated course.

Both courses are full-time over 12 months. 
2005/2006 Fees: £11,700 (Overseas), £3985 (Home/ EU) - subject to yearly revision.
Individual modules may be taken on payment of a fixed fee.

Funding
For the Genetic Epidemiology M.Sc. we are able to offer 3 Cancer Research UK 
bursaries for the course in September 2006. We have 2 MRC funded studentships 
for the Statistical Genetics M.Sc.

Course Structures
Both courses share the following (1 week) modules:

Basic Genetics   		Non-parametric Linkage Analysis	Association 
Studies
Basic Human Genetics   	Parametric Linkage Analysis		Seminar 
Series	
Population Genetics		Segregation Analysis	
	  	


Genetic Epidemiology M.Sc. (30% research)
A substantial research project (4 months) and 4 further (1 week) modules: 

Basic Statistics, Epidemiology 1, Epidemiology 2 and Programming in C	  
	

Basic courses are designed to allow individuals with disparate backgrounds to 
acquire the necessary statistical &/or genetic underpinning of the course.

Statistical Genetics M.Sc. (60% research)
A substantial research project (4 months) and 2 mini projects (4 weeks each). The 
mini research projects are expected to include the following areas:

*   Current laboratory technologies (e.g. mass spectrometry, microarrays)
*   Bioinformatics
*   Phylogenetics
*   Statistical methodological issues in human genetics

Lecturers (both courses)
Prof Chris Cannings, Dr Angie Cox, Dr Kevin Walters, Dr Martin Nicklin, Dr Dawn 
Teare (Genomic Medicine, University of Sheffield)
Prof Mike Campbell, (ScHARR, University of Sheffield)
Prof Doug Easton, Dr Deborah Thompson (CRUK, Cambridge)
Dr Jenny Barrett, (University of leeds), 
Prof Tim Bishop, Dr Mark Iles (CRUK, Leeds)
Mr Mark Cannings, (ActionPoint Solutions Ltd.)

Contact								Course Leader
Lorna Evett,								Prof. Chris 
Cannings
Division of Genomic Medicine, EU28				External 
Examiner
Henry Wellcome Laboratories for Medical Research,		Prof. Peter 
Holmans
University of Sheffield, Beech Hill Road,				University of 
Cardiff
Sheffield, S10 2RX, United Kingdom.
Email  [log in to unmask]
Tel 44 (0) 114 271 2566
http://www.shef.ac.uk/medicine/prospectivepg/taught/mscge/index.html

Previous student destinations
PhDs - Imperial College, Universities of Edinburgh, Cambridge, Sheffield, 
Southampton, Newcastle and Western Australia.

Representative Employers - ARC Manchester, St. Mary´s Hospital Manchester, 
CRUK Leeds, Genetics Knowledge Park Cambridge, University of Leicester, 
Pharmaceutical Industry