• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Computational Engineering
  • FAUTo the central FAU website
  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
Suche öffnen
  • en
  • de
  • Campo
  • StudOn
  • FAUdir
  • Jobs
  • Map
  • Help
  1. Friedrich-Alexander-Universität
  2. Technische Fakultät

Computational Engineering

Navigation Navigation close
  • Prospective Students
    • Computational Engineering
    • Bachelor Program
    • Master Program
    • Technical Application Fields (TAF)
    • Admission to the Bachelor Program
    • Application Master
    • Career Prospects
    • The City of Erlangen
    • History
    • Study Guide
    Portal Prospective Students
  • Students
    • Study Guide — Regulations
    • Mandatory Modules in the Bachelor Program
    • Standard Study Plans Bachelor
    • Module Catalog Bachelor
    • Internship Bachelor
    • Standard Study Plan Master
    • Module Catalog Master
    • Study Abroad
    • TAF Advisor
    Portal Students
  • Infocenter
    • Departments
    • Student Council CE
    • Links
    • News
    • FAQ
    Portal Infocenter
  • Contact
  • Career Service
  1. Home
  2. Prospective Students
  3. Technical Application Fields (TAF)
  4. Medical Engineering

Medical Engineering

In page navigation: Prospective Students
  • Computational Engineering
  • Bachelor Program
  • Master Program
  • Technical Application Fields (TAF)
    • Mechatronics
    • Computational Optics
    • Information Technology
    • Thermo and Fluid Dynamics
    • Solid Mechanics and Dynamics
    • Computational Material Science
    • Medical Engineering
    • Automatic Control
  • Admission to the Bachelor Program
  • Application Master
  • Career Prospects
  • The City of Erlangen
  • History
  • Study Guide

Medical Engineering

Medical Engineering

Medical Engineering, branch of study Medical Image and Data Processing

The programme is a technical and research-driven Master’s degree programme with a specialised focus on medical needs. Students are familiarised with systematic and instrumental methods and acquire professional and methodological skills. The interdisciplinary content leads to a high qualification in the career field of medical image and data processing. Methods for software systems in medical engineering are taught, ranging from basic algorithms for image improvement, image reconstruction and image registration to computer-aided diagnostic support and hospital information systems.

TAF Adviser

Dr.-Ing. Vincent Christlein

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

  • Phone number: +49 9131 85-27823
  • Email: vincent.christlein@fau.de
Friedrich-Alexander-Universität
Erlangen-Nürnberg

Schlossplatz 4
91054 Erlangen
  • Imprint
  • Privacy
  • Accessibility
  • Facebook
  • RSS Feed
  • Twitter
  • Xing
Up