1. Was soll ich studieren
  2. Studiengang Suchmaschine
  3. Studiengänge
  4. Computational Life Science

Jacobs University Bremen

Anzeige Ein Angebot der Jacobs University Bremen. Für den Inhalt ist die Hochschule verantwortlich.
Ansprechpartner
Jacobs University Graduate Admission
Tel: +49 421 200-4211
Zur Hochschulwebsite
Basisinformationen
Abschluss:
Master of Science (M.SC.)
Sachgebiet(e):
Angewandte Mathematik, Bioinformatik, Biologie
Regelstudienzeit:
4 Semester
Hauptunterrichtssprache:
Englisch
Studienform(en):
Vollzeitstudium, Internationaler Studiengang
Standort(e):
Bremen
Fakultät:
.
Akkreditierung:
.
Campus Ring 1
28759 Bremen
Tel: 0421 200-4200
Fax: 0421 200-4113
Weitere Informationen / Services:
www.jacobs-university.de/
Zulassungssemester:
nur Wintersemester
Zulassungsmodus:
Auswahlverfahren/Eignungsprüfung
Zugangsvoraussetzungen:
Bachelor degree
Leider liegen uns keine weiteren Informationen vor.
Vorlesungszeit:
01.09.2018-31.01.2019
Bewerbungsfrist für EU-Ausländer:
01.10.2017-20.07.2018
Bewerbungsfrist für Nicht-EU-Ausländer:
01.10.2017-01.06.2018
June 1st is the deadline for students, who require a visa to enter and study in Germany.
Anmeldefrist für zulassungsfreie Studiengänge:
01.10.2017-20.07.2018
Studienbeiträge
Studienbeitrag:
20000.00 EUR / Jahr
Studienbeitrag (Bemerkung):
Tuition for the MSc Computational
Life Science, the MSc Data
Engineering and the MSc Supply
Chain Engineering & Management is
€ 20,000 per academic year. Tuition
for the MSc Psychologie is € 10,000
per academic year.

Merit based scholarships and
financial aid packages are available.
Abschluss:
Master of Science (M.SC.)
Sachgebiet(e):
Angewandte Mathematik, Bioinformatik, Biologie
Regelstudienzeit:
4 Semester
Hauptunterrichtssprache:
Englisch
Studienform(en):
Vollzeitstudium, Internationaler Studiengang
Standort(e):
Bremen
Fakultät:
.
Akkreditierung:
.
Campus Ring 1
28759 Bremen
Tel: 0421 200-4200
Fax: 0421 200-4113
Weitere Informationen / Services:
www.jacobs-university.de/
Zulassungssemester:
nur Wintersemester
Zulassungsmodus:
Auswahlverfahren/Eignungsprüfung
Zugangsvoraussetzungen:
Bachelor degree
Leider liegen uns keine weiteren Informationen vor.
Vorlesungszeit:
01.09.2018-31.01.2019
Bewerbungsfrist für EU-Ausländer:
01.10.2017-20.07.2018
Bewerbungsfrist für Nicht-EU-Ausländer:
01.10.2017-01.06.2018
June 1st is the deadline for students, who require a visa to enter and study in Germany.
Anmeldefrist für zulassungsfreie Studiengänge:
01.10.2017-20.07.2018
Studienbeiträge
Studienbeitrag:
20000.00 EUR / Jahr
Studienbeitrag (Bemerkung):
Tuition for the MSc Computational
Life Science, the MSc Data
Engineering and the MSc Supply
Chain Engineering & Management is
€ 20,000 per academic year. Tuition
for the MSc Psychologie is € 10,000
per academic year.

Merit based scholarships and
financial aid packages are available.

Logo HOCHSCHULKOMPASS
Diese Informationen werden durch Zugriff auf den HOCHSCHULKOMPASS der HRK erzeugt.
Der Studiengang im Fokus
The Master of Science program Computational Life Science is geared towards students of bioinformatics, computer science, physics, mathematics and related areas. An ever-increasing focus on mathematical modeling and the analysis of system-wide quantitative information means that biological research has become highly interdisciplinary. Complex and sophisticated high-throughput techniques have resulted in new challenges for data integration and interpretation. By covering computational, theoretical and mathematical approaches in biology and the life sciences, the Computational Life Science (CompLife) Master of Science degree at Jacobs University Bremen, Germany addresses these challenges.

 

Live and study at Jacobs University Bremen


Students on all levels, from BSc to MSc and PhD, contribute to our high-level research successes at Jacobs University Bremen. The most innovative ideas are often first explored thorough BSc and MSc theses that lead to early publications, which are the best possible entry into a science career and a strong asset in any R&D application.

 

Jacobs University Bremen has a shady, green campus, offering a perfect setting for teaching and research. When studying Computational Life Science here, you will be part of an international and intercultural community unique in Europe.

Program Features

Members of our community at the Jacobs University Bremen enjoy access to a range of sports facilities, a music studio, concert venues and a student-run café and bar, as well as a Student Activities Center and our Interfaith House.

 

This Computational Life Science (CompLife) master’s degree program is offered by the Jacobs University Bremen, a private, international English-language academic institution located in Bremen, Germany. Students of the graduate program in Computational Life Science benefit from a tailor-made curriculum which combines theoretical and practical elements, including lectures, tutorials and training laboratories. Courses covered by this Master of Science degree in Computational Life Science include foundational as well as advanced topics and methods. Areas of specialization and core components of the MSc. program in Computational Life Science include:

 

  • Computational Systems Biology
  • Computational Physics and Biophysics
  • Bioinformatics
  • RNA Biology
  • Imaging and Modeling in Medicine
  • Ecological Modeling
  • Theoretical Biology
  • Applied Mathematics
  • Numerical Methods
Der Studiengang im Video
Computational Life Science at Jacobs University
Become prepared for a bright career in the biomedical and pharmaceutical industry.
Mögliche Berufsfelder
Demand is high in industrial R&D for graduates with an interdisciplinary education in bioinformatics and systems biology. As availability of high-throughput data grows, so does the need to interpret it through systems biology techniques to arrive at optimized drugs and biotechnological processes. An MSc degree on computational biology and computational methods will boost any career in the biomedical and pharmaceutical industry. This MSc equips students with the key computational and mathematical methods and biological background needed for multidisciplinary theoretical challenges.
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