Prior to the course, students will be sent preliminary material that includes basics of statistics and the programming language R.
Here is a preliminary schedule for the five days of teaching:
Session 1A – Introduction and recap of preliminary material.
Session 1B – Basics of GWAS
Session 2A – Bayesian analysis
Session 2B – Traditional heritability analysis
Session 3A – Introduction to polygenic risk scores
Session 3B – SNP-based heritability analysis
Session 4A – Journal club (reading)
Session 4B – Journal club (presenting)
Session 5A – Advanced polygenic risk scores
Session 5B – Practical on material from whole week
After the teaching, students will spend two weeks revising the notes and completing an assignment
Exam info and full course description can be found in the course catalogue.
To apply for the course you must either be enrolled in a master's degree, have a master's degree or have passed a qualifying entry examination.
Exchange Students: nomination from your home university
Freemovers: documentation for English Language proficiency
You can read more about the admission here.