Within the MSc Animal Breeding and Genetics, you can choose one of two profiles: Genomics and Quantitative Genetics. Schedule of when the courses are given is in the table, more information on the courses is below the table. For more information on theses and internships or the schedule for colloquia, see below the table and the link to the studyguide at the bottom of the page .
|MSc||Population and Quantitative Genetics||GEN-30806||x|
|MSc||Genetic Improvement of Livestock||ABG-31306||x||X|
|period 2 en 5|
|MSc||Modern Statistics for the Life Sciences||ABG-30806||x||x|
|BSc||Animal Breeding and Genetics||ABG-20306||x|
|MSc||Ecology of Animal Life Histories||ABG-50806||x||x|
|BSc||Wildlife Conservation Genetics||ABG-51806||x||x|
|MSc||Summer course Animal Breeding and Genetics||ABG-52304||x||x|
Theses and Internships
For both profiles you need to do a large thesis (36 ects) in a subject related to your profile, and an internship (optional for ex-BDW students) or small thesis. Your small thesis (compulsory for students who obtained their BSc degree elsewhere, optional for ex-BDW students) does not have to be in a subject related to animal breeding and genetics.
If you are interested in the potential subjects for your thesis then here is a list with MSc thesis subjects.
Colloquia can be presented once a week during the TLM (Thursday Lunch Meeting, from 13:00 to 14:00). Please register, after consultation with your supervisor, with Ole Madsen (email@example.com) at least three weeks in advance, after that the schedule will be filled with other presentations. Options are on a first come, first serve basis. There is time available for 1 colloquium per week. Once a month there will be the possiblity to cintinue after the TLM, so multiple colloquia are possible on those days.
Profile MSc-courses in more detail
The participants should acquire knowledge about
- methods to study genome structures of organisms from various kingdoms;
- correlation between genetic and genomic information;
- the organisation of prokaryotic and eukaryotic genomes;
- the synteny and evolution of genomes;
- methods to map single and complex genetic traits;
- methods to go from positions in a genome to a gene of interest;
- methods for analysis of gene function;
- methods to identify genes and ascribe potential functions to their products;
- the applications of genomic information in the fields of medicine, optimisation of nutrition, animal breeding and production, plant breeding and production;
The participants should acquire basic skills in - constructing and interpreting genetic and/or molecular linkage maps;
- searching and interpreting information on genomics in internet-based databases.
Contact person(s): M A M Groenen
ABG-31306 Genetic Improvement of Livestock
The course aims to provide knowledge and understanding on
- breeding goal definition as a way to achieve directional technological development;
- breeding value estimation - identifying genetically superior animals;
- selection and mating systems - optimal use of superior animals such to balance genetic gain and inbreeding trends (i.e., risk);
- decision-making in genetic improvement strategies, in relation to social-cultural and economic aspects.
Contact person: H Bovenhuis
ABG-30806 Modern Statistics for the Life Sciences
This course will provide students with the opportunity to develop their understanding and skills of performing an appropriate statistical analysis of data commonly collected in life sciences.
Introduce the student to the Analysis of Variance, Regression analysis, the Likelihood concept, Mixed models, Generalized Linear Models and Bayesian statistics. Apply these statistical methods to the estimation of genetic parameters, QTL mapping and epidemiology.
Contact person: B. Ducro
GEN-30806 Population and Quantitative Genetics
The course provides knowledge and understanding on
- the genetic dynamics of natural, captive and artificially selected populations;
- the mechanisms causing erosion of genetic diversity and methods for genetic conservation of populations;
- the consequences of population history for the current genetic characteristics of populations, and inferences on population history from current data.
Contact person: D.K. Aanen