Specialized Master s Programme in Computational Biology and Bioinformatics (CBB)

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Department of Biosystems Science and Engineering

Specialized Master‘s Programme in Computational Biology and

Bioinformatics (CBB)

Joint Degree Programme

ETH Zürich, University of Basel, University of Zürich 2 years, 120 ECTS

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MSc Computational Biology and Bioinformatics – Presentation Schedule

 Wednesday, October 27, 14.30 – 15.00h

 10-15 Min. Presentation on programme, Prof. Dagmar Iber (Computational Biology Group)

 15-20 Min. Q&A with

 Prof. Dagmar Iber

 Swantje Pless (Coordinator of Studies)

• →Questions that were not answered during the event can be send by email after the event to: student- [email protected]

• → Questions to current students of the programme can be addressed to the CBB Students via:

[email protected]

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MSc Computational Biology and Bioinformatics – Application

Department of Biosystems Science and Engineering 10/28/2021 3

 The 1st application window (1Nov-15 Dec.) is highly recommended for all students

 Decision regarding admission: By the end of March 2022

 The 2nd application window (in March 2022) is only for students who do not need a visa and students who already have a Swiss residence permit. Applications during the 2nd application window from candidates who need a visa cannot be considered.

 Decision regarding admission: by end of June 2022

• Please submit your complete application, including all required documents, by the given deadline.

• Late or incomplete applications cannot be processed. Entry in the Spring Semester is unfortunately not possible.

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Today‘s D-BSSE campus on Rosental Areal

D-BSSE teaching and research facilities

Genomics Facility Basel Single-Cell Facility

Lab Automation Facility Cleanroom Facility

Good Manufacturing

Practice Facility (in prep.) Animal Facility

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D-BSSE in 2022

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D-BSSE Location

Located in Basel, the life sciences capital of Europe

Overall goal: translating research into

biomedical and industrial applications and promoting the development of new processes and products in the biotech, pharmaceutical and chemical industries

Close collaboration with partners from industry, hospitals and other academic institutions in the emerging fields of precision medicine and personalized health, molecular systems engineering and data science

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D-BSSE Research

The mission of the Department of

Biosystems Science and Engineering (D- BSSE) is the understanding, rational design and programming of complex biological systems from the nanoscale up to whole organisms.

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D-BSSE from Systems to Synthetic Biology

Synthetic Biology Systems Biology

Rational engineering of (complex) biological systems:

 Develop methods and technologies for systems analysis.

 Develop ways to engineer (program or reprogram) biosystems.

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D-BSSE Facts & Figures

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D-BSSE Spin-off Companies

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D-BSSE Unique Combination of People and Facilities

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D-BSSE Student Initiatives & Events

Movie nights

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MSc Computational Biology and Bioinformatics - Prerequisites

• Admission is strictly “sur dossier”

• Eligible: Bachelor degree in Computer Science, Bioinformatics, Biology, Natural Sciences, Engineering, Biomedicine and other disciplines with a strong theoretical-mathematical background

• A minimum background in biology, computer science and mathematics is mandatory for all students.

The admission committee may issue additional requirements

 The additional requirements courses need to be taken in addition to the regular master's degree programme (overall study duration might be extended)

 Most common additional requirement courses:

− Data Structures and Algorithms

− Computer Science

− Cell and Molecular Biology for Engineers

− Stochastics (Probability and Statistics)

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MSc Computational Biology and Bioinformatics - Research Background

 In-depth understanding and command of methods, theories, and algorithms required for the computational analysis of complex biological data and systems

 Familiarity with key concepts of modern research in biology, including applications to medicine and biotechnology

 Focuses on the development of concepts and methods rather than merely on applications of bioinformatics

 In-depth knowledge in the areas of bioinformatics, biophysics, systems biology, and data science

 Interdisciplinary communication and collaboration with specialists in biology, computer science, mathematics, and other disciplines

 Includes practical experience in biology, computer science methods, and their combination

 Places particular emphasis on the systematic integration of experimental biology / data generation.

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MSc Computational Biology and Bioinformatics – Programme Overview

 Two-years Master Programme, 120 ECTS, Language: English

 Joint Master Degree Programme: ETH Zürich, University of Basel, University of Zürich

 Location: Zürich and Basel. Lectures can be taken in Zürich and

Basel, with University of Basel offering lectures in Basel, University of Zurich offering lectures in Zurich and ETH Zürich offering lectures at the Basel campus as well as the Zurich campus. Nearly all credits can be covered in either of the two cities alone.

 Four core areas: Bioinformatics, Biophysics, Biosystems and Big Data

 Flexible course selection

 12 weeks total lab rotations

 Option for industrial internship

 26 weeks Master`s Thesis

 Mentor-based study Programme

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MSc Computational Biology and Bioinformatics – List of Core Courses I

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MSc Computational Biology and Bioinformatics – List of Core Courses II

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MSc Computational Biology and Bioinformatics – Advanced Courses

Flexible Course Selection

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MSc Computational Biology and Bioinformatics – Lab Rotation (Industry Internship) and Master‘s Thesis

Industry Internship up to 12 weeks as part of the programme, longer internships will delay completion of studies beyond 2 years!

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MSc Computational Biology and Bioinformatics – Job Perspectives

• Employment and entrepreneurship in pharmaceutical and biotechnological industry, including major global players headquartered in Basel and strong Swiss startup sector in the biotechnology field

• Broad variety of other sectors ranging from software engineering, bioinformatics, data analysis from pharma via IT to consulting

• About 60% of the graduates continue to obtain a PhD inside and outside of the department

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@ETH_BSSE

Resources

www.cbb.ethz.ch

www.bsse.ethz.ch

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Get in touch with the Department:

[email protected] Get in touch with current CBB Students:

[email protected] Further Information www.cbb.ethz.ch www.bsse.ethz.ch

Specialized Master s Programme in Computational Biology and Bioinformatics (CBB)