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Data Science internship focus on tumor biology
(dt. Data Science Praktikum mit Schwerpunkt Tumorbiologie)

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

Students will

  • Become familiar with typical tumor biology problems (e.g., analysis of gene expression patterns, tumor mutations, single-cell analytics of cellular tumor composition, spatial profiling, HTGedge-Seq) and develop an understanding of the special requirements and problems that arise when dealing with biomedical sequencing data.
  • Apply data science methods, data mining and machine learning techniques to analyze experimental and spatially-separated NGS and gene expression data and public tumor biology research data (TCGA, DepMap, ...).
  • Acquire the skills to critically interpret tumor biology research data and to plan, implement and perform Data Science analyses in tumor research.
  • Develop, implement, and establish specialized analysis software needed in tumor biology and extend the existing range of methods.

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.