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Data Science internship focus on Genetic Epidemiology
(dt. Data Science Praktikum mit Schwerpunkt Genetische Epidemiologie)

Level, degree of commitment Profile module, compulsory elective module
Forms of teaching and learning,
workload		 Tba,
180 hours (tba)
Credit points,
formal requirements		 6 CP
Course requirement(s):
Examination type:
Language,
Grading		 tba,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Humanbiologie.
Duration,
frequency		 Tba,
tba
Person in charge of the module's outline tba

Contents

tba


Qualification Goals

As part of the module, students will study the fundamentals of genetic epidemiology or modern analytical methods for elucidating multifactorial diseases.

  • Biostatistical methods for the identification of common genetic risk variants (esp. genome-wide association studies (GWAS)).
  • Biostatistical methods for the identification of rare genetic risk variants (esp. analysis of exome-wide sequencing (EWS) data).
  • Bioinformatic and biostatic methods for downstream analyses of genetic risk variants for prediction (especially polygenic risk score (PRS) analyses) and elucidation of biological risk architecture (especially functional characterization of risk variants and identification of disease-relevant cell types)
  • Qualification goals
  • Students will be able to explain the genetic architecture of multifactorial diseases.
  • Students will be able to explain analytical methods for the identification of common and rare genetic risk variants of multifactorial diseases.
  • Students will be able to explain analytical procedures for downstream analyses of genetic risk variants for prediction and elucidation of biological risk architecture


Prerequisites

None.


Applicability

Module imported from M.Sc. Humanbiologie.

When studying M.Sc. Data Science, this module can be attended in the study area Application Area Modules.

The module is assigned to the focus area Medical Informatics. Further information on eligibility can be found in the description of the study area.


Recommended Reading

(not specified)



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

  • Winter 2016/17 (no corresponding element)
  • Summer 2018 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.