m_bioinf_en

Bioinformatics

Master, part-time

Overview

Bioinformatics develops algorithms and programs to simulate biochemical processes and analyze molecular data. It combines knowledge of biochemical and molecular biological processes in organisms in applied computer science and data management as well as analysis. As part of the system biology, bioinformatics supports both research as well as industrial development and production. Your education will provide you with excellent prospects at the interface between basic research and development.

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Contact us

Contact us!

Elisabeth Beck
Elisabeth Holzmann, Bakk.techn.
Johanna Bauer
Mag.a Susanne Polansky
Muthgasse 62
1190 Vienna
T: +43 1 606 68 77-3600
F: +43 1 606 68 77-3609
bioengineering@fh-campuswien.ac.at

Office hours during semester
Mon. to Thu. 4:30 p.m. to 6:00 p.m.

By appointment
Mon. to Thu. 10:00 a.m. to 6:00 p.m.
Fri. 10:00 a.m. to 1:00 p.m.

Stay up to date

Stay up to date!

Duration of course
4 Semester
Final degree
Master of Science in Engineering (MSc)
18Study places
120ECTS
Organisational form
part-time

The program starts every two years. Application period for the academic year 2018/19
ongoing

tuition fee / semester:

€ 363,36*

+ ÖH premium + contribution**

 

* Tuition fees for students from third countries € 727 per semester

 

**for additional study expenses
(currently up to €83 depending on degree program and year)

What you can offer

You have a background in natural sciences, are enthusiastic about IT and already possess basic knowledge. You see your future in combining both and using your IT skills to process and analyze the flood of data in life sciences and present it optimally and understandably. You are an analytical and process-oriented thinker.  You enjoy solution-oriented work at the interface between different disciplines. You want to achieve professional success working on projects in a team and are open to management responsibilities. You can also imagine providing independent services. Average English skills are expected. Language of instruction is German

What we offer you

Your education and research benefit from our close partnerships with the University of Natural Resources and Life Sciences, Vienna (BOKU) and the Vienna Institute of Biotechnology (VIBT), who share the campus with us, as well as our strong network in the industry. In addition to experts from the industry, researchers from the BOKU also teach in our degree program and contribute their application-oriented know-how. Selected courses are offered in English, the technical language of life sciences. We are currently building an IT infrastructure that should be available as an internet service for public researchers as well as our students. Numerous R&D projects in the degree program offer you the opportunity to work with cutting-edge applications and to make valuable contacts for your future career. Practical relevance is also guaranteed at our Campus Lecture evenings, which are open to all and feature contributions from prominent experts.

What makes this degree program special

The degree program focuses on molecular biology and is tailored specifically to the needs of pharmaceutical production. Bioinformatics is already an indispensable research tool for biotechnological methods in order to cope with the flood of data in life sciences. The deciphering of the human genome in genomic research is only one possible application. The main goal is to develop new medications based on the analysis of human genes.
Huge databases of active ingredients must be searched for suitable candidates.
Bioinformatics methods also make it possible to optimize and individualize therapies through the comparison of entire genomes. These tasks are even many times more complex than the makeup of the DNA sequence and can only be solved with the help of bioinformatics. The need for bioinformaticians in the biotech industry is growing rapidly. With our production-oriented education, you will be highly sought after.

 

 


What you will learn in the degree program

As an interdisciplinary science, bioinformatics provides solutions for biological issues by applying informatics methods. The program combines applied informatics, data management and data evaluation with molecular biology, biochemistry and bioinformatics.

  • In applied informatics you will learn about programming, operating systems, networks and database systems. In order to effectively manage and evaluate data, you will acquire knowledge in mathematics, statistics, algorithms and software development.
  • In the field of molecular biology and biochemistry you will learn to conduct sequence comparisons and make structure and function predictions, as well as how high-throughput technologies function. Applied bioinformatics encompasses the application of bioinformatics and chemistry informatics.
  • Management and corporate management skills will round out your education.
  • You will apply the methods of scientific work within the framework of your master’s dissertation.

Curriculum

Grundstudium

Lecture SWS ECTS
Databases VO

Databases VO

Lector: Mag. Dipl.-Ing. Dr.techn. Lorenz Froihofer, Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka

2 SWS
4 ECTS

Lecture contents

•Principles of architecture and database systems
•Transaction concept and SQL-core
•Entity Relationship (ER) Model
•Relational Model
•Relational database design
•Database implementation with SQL-DDL
•Practical design assignment in small groups

Assessment methods

Continuous assessments throughout the content presentation (grading of presentations)Written examDistance learning: Practical assignment

Teaching methods

LectureStudent presentations followed by discussionsPractical assignments in small groupsOpen distance learning

Language

German

2 4
Selected chapters of Mathematics VO

Selected chapters of Mathematics VO

Lector: Univ.-Prof. Dipl.-Ing. Dr. Werner Timischl

1 SWS
2 ECTS

Lecture contents

1 Matrices
First and Second Kind of Spatial Representation; calculations with vectors and matrices; systems of linear equations; eigenvalues and eigenvectors.
2 Selected methods of multivariate statistics
hierarchical classification; principal component analysis.
3 Linear Optimization
Maximum problem; simplex algorithm; dual problems.
4 Markov-models
Markov-chains; Hidden-Markov-models.

Assessment methods

Written examination

Teaching methods

Lecture combined with exercies.

1 2
Data Mining and Visualization VO+UE

Data Mining and Visualization VO+UE

Lector: Dipl.-Ing. Barbara Kavšek

1 SWS
2 ECTS

Lecture contents

Basic concepts of Data Mining
Introduction into Visualization
Pros and Cons in representations

Assessment methods

The examination consists of attendance, active participation as well as the grading of the exercise work.

Teaching methods

Lecture plus exercise

Language

German-English

1 2
Introduction to Programming VO+UE

Introduction to Programming VO+UE

Lector: DI Norbert Auer

2.5 SWS
5 ECTS

Lecture contents

Extending the knowledge in the programming language Python in the context of real
biological problems.

* Software tools: Git
* Container Classes (Listen, Dictionaries)
* Object-orientated programming (Classes, Inheritance, ...)
* Regular expressions
* File handling
* Generators
* Parallel programming
* Special modules: Biopython, Pandas, Numpy, Scipy

Assessment methods

Written exam at the end of the course and evaluation of the exercises/project work.

Teaching methods

LecturesHomeworkProject work

Language

German

2.5 5
Introduction to Linux and Shellscripting VO+UE

Introduction to Linux and Shellscripting VO+UE

Lector: Ing. DI (FH) Nadine Elpida Tatto

1 SWS
2 ECTS

Lecture contents

The operating system Linux is essential in bioinformatics. This lecture and exercise provides an introduction to Linux in general and the usage of the operating system in particular

Assessment methods

written exam and complete and punctual delivery of exercises. Both count 50/50 for the grade

Teaching methods

Lecture and exercises during lecture time and at home

Language

German

1 2
Basics of Algorithms VO

Basics of Algorithms VO

Lector: Mag. Dr. Michael Wolfinger

1 SWS
2 ECTS

Lecture contents

Introduction to algorithms, graph theory, basic bioinformatics algorithms for predicting sequence similarity, alignments and RNA folding

Assessment methods

Written test, evaluation of practical tasks

Teaching methods

Slides and practical tasks

Language

German-English

1 2
Proteomics VO+UE

Proteomics VO+UE

Lector: Univ. Prof. Dr. Christopher Gerner

1.5 SWS
3 ECTS

Lecture contents

Proteomics: opportunities and aims
Methods, focussing on mass spectrometry
Statistical methods for quality control, motivation for and building of public repositories
Databases/ontologies
Bioinformatic applications making use of large data sets

Assessment methods

written exam

Teaching methods

Lecture, working with computer

1.5 3
Sequence Comparison and Annotation VO

Sequence Comparison and Annotation VO

Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf, Ing. DI (FH) Nadine Elpida Tatto

1 SWS
2 ECTS

Lecture contents

The course deals with the analysis of biological sequence data. Starting from a genome sequence of an unannotated organism, we will try to determine the gene content and their function. During this process the students will work with a variety of available bioinformatics software but will also work on their own scripts to analyze the provided data.

Assessment methods

The grade is composed of several parts:30% - exercises in the lecture70% - final exam

Teaching methods

Power point slides, discussions and practical exercises.

Language

German

1 2
Sequence Comparison and Annotation Practice VO+UE

Sequence Comparison and Annotation Practice VO+UE

Lector: Ing. DI (FH) Nadine Elpida Tatto

1 SWS
2 ECTS

Lecture contents

Hands-on to the topics of the lecture

Assessment methods

Exam at the end and punctual delivery of assigned homework.

Teaching methods

Examples are getting worked through in class and alone at home.

1 2
Statistics VO+UE

Statistics VO+UE

Lector: Dipl.-Ing. Dr. Alexandra Posekany

1.5 SWS
3 ECTS

Lecture contents

introduction to statistics and probability using R; exploratory data analysis, statistical estimation, graphics, Bayes' theorem, important distributions, hypothesis testing, ANOVA and linear regression

Assessment methods

exercises, written exam, in calls participation

Teaching methods

lecture, presentation, work with PC, group work, exercises

1.5 3
Transcriptomics and Genomics VO+UE

Transcriptomics and Genomics VO+UE

Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf, Dr.rer.nat. Markus Jaritz

1.5 SWS
3 ECTS

Lecture contents

1) Acquire knowledge on selected bioinformatics chapters (Next Generation Sequencing, ChIP-Seq, RNA-Seq) ans
2) Application of relevant bioinformatics tools for the analysis of associated data
3) using script languages under Linux, such as Bash, awk and perl.

Assessment methods

40 % Workshop: Hand in a short program which solved a given task60% Lecture: Written exam

Teaching methods

- Introductions and explanations (lecture)- Exercises using the computer

Language

German

1.5 3

Grundstudium

Lecture SWS ECTS
Algorithms Practice UE

Algorithms Practice UE

Lector: Mag. Dr. Michael Wolfinger

1.5 SWS
3 ECTS

Lecture contents

Application of the framework and concepts presented in the course "Grundlagen Algorithmen": Implementation of simple algorithms in Perl.

Assessment methods

Written examination

Teaching methods

Beamer slides

Language

German

1.5 3
Applied Programming VO

Applied Programming VO

Lector: Dipl.-Ing. Gerald Holzmann, Bakk. techn.

2.5 SWS
5 ECTS

Lecture contents

- Introduction to programming using C++
- Implementation of Examples
- Object-Oriented Progamming
- From the basic idea to the implementation

Assessment methods

recurring tests, practices and final exam.

Teaching methods

- lecture- practice- examples

Language

German

2.5 5
Selected Chapters of Bioinformatics SE

Selected Chapters of Bioinformatics SE

Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf

1 SWS
2 ECTS

Lecture contents

The seminar is meant to give students an overview over the various fields of bioinformatics. Experts from different fields will be invited to talk about their experiences and projects.

Assessment methods

Written exam at the end of the course.

Teaching methods

SeminarTalks and Discussions

Language

German-English

1 2
Database Systems VO+UE

Database Systems VO+UE

Lector: Dr. Dominik Ertl, Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka

1.5 SWS
3 ECTS

Lecture contents

- Database query with SQL
- Persistency problems, database programming, cursor concept
- Elaborating the requirements and needs for computer scientists that use database systems and focuse on Bio-informatics
- Programming with Perl: Perl-DBI, CGI
- Practical Programming tasks in small groups

Assessment methods

Continuous assessments throughout the course (grading of presentations)Distance learning: Practical assignment

Teaching methods

Student presentations followed by discussionsPractical assignments in small groups

Language

German

1.5 3
Machine Learning Methods VO+UE

Machine Learning Methods VO+UE

Lector: Dipl.-Ing. Dr. Theresa Scharl-Hirsch

1 SWS
2 ECTS

Lecture contents

This lecture gives an introduction to statistical data analysis using the statistical computing language R with an emphasis on machine learning methods applied to biological work. The topics include regression, cluster analysis and classification as well as the application of statistical models and tests using R including graphical data visualization. The machine learning methods presented include pricipal component analysis, partial least squares, random forests, support vector machines and neural networks.

Assessment methods

Practice sessions and a project at the end of the course (50% each)

Teaching methods

Lecture + Exercise

1 2
Medical Analysis of Genoms VO

Medical Analysis of Genoms VO

Lector: DI Dr. Albert Kriegner, DI(FH) Dr. Stephan Pabinger

1 SWS
2 ECTS

Lecture contents

-introduction in medical genome analysis
-quality evaluation of the data
-identification of variations
-annotation of variations
-interpretation of data
-methods for "genetic testing"

Assessment methods

- presence and active participation- presentations done by the students

Teaching methods

- lecture with exercise- presentations done by the students and discussion

Language

German

1 2
Software Development VO+UE

Software Development VO+UE

Lector: DI Christian Heiderer

2 SWS
4 ECTS

Lecture contents

This course looks at the basics of programming in C++.

After repeating the basic language constructs of C we will shortly focus on working with arrays, pointers and references. Switching to C++, we will learn through hands-on programming effective application of following important fields:
- Usage of the C++ Standard Library: Strings and container classes/templates
- Data modelling with C++ classes
- Implementation of Graphical User Interfaces (GUI) using QT

Additional non-C++ related targets are:
- Understanding of the Software Development Process
- Efficient work in small software projects
- Writing easy-to-read and easy-to-maintain code

Assessment methods

Small self-written program at end of course

Teaching methods

Presentations and discussions, hands-on practice on the PC, discussions.

Language

German-English

2 4
Specific Statistics Practice UE

Specific Statistics Practice UE

Lector: Dipl.-Ing. Dr. Alexandra Posekany

1 SWS
2 ECTS

Lecture contents

General topics of statistics:
statistical modeling, selection of models
generalized models (logistic regression)
bayesian estimate and modeling

Assessment methods

continuous assessments throughout the course and final examination

Teaching methods

Applied practice with "R"

Language

German

1 2
Structure Prediction in Biopolymeres VO

Structure Prediction in Biopolymeres VO

Lector: Dr. Sven Brüschweiler, Dr. Tanja Gesell

1 SWS
2 ECTS

Lecture contents

This lecture gives an introduction to basic principles of protein and RNA structure using top-down and bottom-up approaches for structure predictions.
Topics include:
- Introduction of experimental structure determination methods of biopolymers
- Alignment methods and programs for structure prediction methods
- In silicon prediction of RNA structure using dynamic programming
- Genome wides screens of RNA structure
- In silicon prediction of protein secondary and tertiary structure
- Visualisations of RNA and Protein structures

Assessment methods

Practical sessions and a project at the end of the course (50% each).

Teaching methods

theoretical and practical exercises

Language

German-English

1 2
Systems Modelling LB

Systems Modelling LB

Lector: Dr. Jürgen Zanghellini

2 SWS
4 ECTS

Lecture contents

At a practical approach (wet lab) the effect of perturbing a cell at a systems biology context is analyzed and transferred to a metabolic model. Thereby prospects and limitations of systembiology are demonstratively acquired.

Assessment methods

Continous assessments throughout the course

Teaching methods

practical approach (wet lab)

Language

German-English

2 4
Master Thesis Preparation SE

Master Thesis Preparation SE

Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf

0.5 SWS
1 ECTS

Lecture contents

Form and features of the written thesis. Presentation techniques.

Assessment methods

-

Teaching methods

Talk - discussion

Language

German-English

0.5 1

Grundstudium

Lecture SWS ECTS
Automation VO+UE

Automation VO+UE

Lector: Dipl.-Ing. Werner Seiler

1 SWS
2 ECTS

Lecture contents

Introduction to process automation.

Basic concepts of measurement with significance in biotechnological processes.
Fundamentals of process automation, process control, in particular, programmable logic controllers (PLCs) and field bus systems.
Introduction to the fundamentals of control theory.

Assessment methods

HomeworkWritten test at the end of the lecture or oral examination (TBD)

Teaching methods

Lecture, design and calculation exercises with Excel and simulation programs.Home exercise.

Language

German

1 2
Biotechnological Seminar UE

Biotechnological Seminar UE

Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf, FH-Prof. DI Dr. Michael Maurer

0.5 SWS
1 ECTS

Lecture contents

As an example from biotechnology, students will work in the brew lab to create a beer, following a recipe. Students will be introduced into the topic of brewing and will have the chance to see an automated solution and investigate the data produced by the equipment. Additionally to the work in the lab, students are required to design a label for their beer and create a website with the recipes they worked on.

The students will work in groups of 3-4 persons.

Assessment methods

Students will be graded on their performance in the lab and the design of the label and web page.

Teaching methods

Presentation, praktical lab exercise

Language

German

0.5 1
Business Plan and Cost Accounting VO+UE

Business Plan and Cost Accounting VO+UE

Lector: Mag. Dipl.-Ing. Dr. Martin Pfeffer, Mag. Karin Pfeffer

2 SWS
4 ECTS

Lecture contents

"hands-on" priciples in business administration
Development of a business plan

Assessment methods

preparation & presentation of a business plan

Teaching methods

lecture, Workshop

Language

German

2 4
Computational Systems Biology ILV

Computational Systems Biology ILV

Lector: Dr. Jürgen Zanghellini

1.5 SWS
3 ECTS

Lecture contents

Computer models of biochemical networks are able to connect the genotype with the phenotype. In this primer we will give an introduction to biochemical network analysis. We will introduce basic concepts of network reconstruction and constraint based analysis of biological networks. In particular we will cover the process of building (genome scale) metabolic models and study the steady state behavior of these networks with flux balance analysis (FBA) and related methods. Finally we will show that these methods are successfully used in metabolic engineering, where FBA is a standard approach for the rationally designing microbial cell factories.

(*) Basic mathematical concepts in systems biology
(*) Reconstruction of biochemical networks
(*) Stoichiometric networks and their analysis
(*) Applications in biotechnology

Assessment methods

Home work and final exam

Teaching methods

Lecture and in class exercises

Language

German-English

1.5 3
Development of bioinformatical Workflows VO+UE

Development of bioinformatical Workflows VO+UE

Lector: Dipl.-Ing. Maciej Kandula

1.5 SWS
3 ECTS

Lecture contents

Review of some most popular workflow systems: e.g., Snakemake, Galaxy, Bpipe, etc.
Workflow system features: e.g., support for distributed computing, scheduling mode, GUI/CLI-support, commandline portability of code into workflow stages, audit trail, etc.
Discussion of relevant related topics: repeatability, reproducibility, documentation, shareability
Specific examples: with Conda and Snakemake

Assessment methods

Multiple-choice intermediate testHands-on final exam

Teaching methods

Lecture / Demonstrations / Practicals / Home tutorials

Language

English

1.5 3
Good Clinical Practice and Pharmacovigilance VO

Good Clinical Practice and Pharmacovigilance VO

Lector: Mag. DDr. Alexander Hönel, MSc MBA LLM

1 SWS
2 ECTS

Lecture contents

To gain the essential know how on the topic clinical trial and clinical studies. Insight into the legal basis for these kinds of experiments and their positioning in the life cycle of the product. Which phases of clinical trials do exist? What are the risks? Quality control and quality assurance as well as actual changes in the legal environment.

Assessment methods

Presentation of the student and their evaluation as assessment

Teaching methods

Introduction into the topic as lecture, followed by selected topics to be presented by the student on the last day of the lecture.

Language

German-English

1 2
Innovation and Entrepreneurship VO+UE

Innovation and Entrepreneurship VO+UE

Lector: Dipl.-Ing. Dr. Gottfried Himmler

1 SWS
2 ECTS

Lecture contents

The Entrepreneur

How do new things develop?
Recipies for success?

What is an enterprise?
Systems theory perspective

What is management?
Entrepreneur versus Manager:
Tasks
Character

The idea
The Business Model
The Business Plan

The ideal Leader.
Basics of Management.
Tasks of Managers.
Management Tools.

Assessment methods

Oral

Teaching methods

Lecture & Workshop

Language

German

1 2
Clinical Bioinformatics VO+UE

Clinical Bioinformatics VO+UE

Lector: Smriti Shridhar, PhD

1.5 SWS
3 ECTS

Lecture contents

Understanding genetic diseases, biomarkers
Genome wide association studies (GWAS)
Interpreting DNA variants
Human Genome Project
Clinical Data and Ethics

Assessment methods

Attendance, active participation in assignment discussion, scientific papers related to the topic will be presented by students (in groups) at the end of the course

Teaching methods

Lecture / Practical exercises / Case-studies / Presentations

1.5 3
Metagenom Analysis VO+UE

Metagenom Analysis VO+UE

Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf

1 SWS
2 ECTS

Lecture contents

Introduction to the production and analysis of metagenome/microbiome data.

Assessment methods

Presentation of a practical task.

Teaching methods

Vortrag, Diskussion und praktisches Beispiel.

1 2
Molecular Design VO+UE

Molecular Design VO+UE

Lector: Dr. Sven Brüschweiler, Dr. Leonhard Geist, Dr. Tanja Gesell

1.5 SWS
3 ECTS

Lecture contents

based on the class from last semester RNA and Protein Structure Prediction, this lecture addresses Molecular Design; topics include:
- from small molecule descriptions to Protein - Ligand and RNA - Ligand complexes as well as Protein RNA interactions
- high-throughput screening (HTS)
- ncRNA in human diseases
- pharmacophore models
- disease networks

Assessment methods

Practical sessions and a project at the end of the course (50% each)

Teaching methods

theoretical and practical exercises

1.5 3
Network and Internet Technologies VO+UE

Network and Internet Technologies VO+UE

Lector: Silvia Schmidt, MSc

1.5 SWS
3 ECTS

Lecture contents

Internet survey
Internet-of-Things / Biothings survey
IT-Security basics
Genome browser basics

Assessment methods

Written exam & practical exercises

Teaching methods

lecture, exercises, inverted classroom

Language

German

1.5 3
Patenting VO+UE

Patenting VO+UE

Lector: Dipl.-Ing. Anatol Dietl, Mag. iur. Dipl.-Ing. Dr. Michael Stadler

1 SWS
2 ECTS

Lecture contents

Protective rights; Reading patent documents; scope of protection; novelty, state of the art; inventive step; further requirements of patentability; patent application procedure; international patent laws and treatys; patent search; patent licensing; biotechnological inventions and patents

Assessment methods

written tests at the beginning of the lecture units; homework problem

Teaching methods

Lecture

Language

German

1 2

Grundstudium

Lecture SWS ECTS
Master Thesis Supervision MT 1 1
Master Thesis MT 0 28
Master Thesis Seminar SE 1 1

Semester dates
Winter semester: 16th August 2017 to 27th January 2018
Summer semester: 5th February 2018 to 14th July 2018

Number of teaching weeks
20 per semester

Times
6:00 p.m. to 9:20 p.m. (ca. three times Mon to Fri), Sat ca. every two weeks
(all day)

Language of instruction
German


How you benefit

As an expert in bioinformatics, you will manage and analyze data with high-throughput analysis methods and model structures and functions of biomolecules. You will find a career in the following occupational fields:

  • Biotechnologische Forschungsunternehmen
  • Biopharmazeutische Industrie
  • Industrielle Biotechnologie
  • Medizinische und molekularbiologische Forschung
  • Bioinformatik-DienstleistungsanbieterInnen

Admission

Admission requirements

  • Bachelor degree in natural sciences-technology or similar qualification from an institute of higher education with a total of 180 ECTS credits

With at least > 13 ECTS credits in computer science, such as Introduction to Bioinformatics, Basics databases and operating systems, programming. > 13 ECTS credits in technical subjects such as process engineering, principals of bioprocess technology, measurement and control technology. More information is available upon request.

  • Equivalent certification from abroad
  • Regulation for the admission of third country citizens: Info sheet (PDF)

Equivalence is determined by international agreements, validation or in individual cases a decision by the head of the academic section.

Application

There are 18 places available in the master's degree program in Bioinformatics every two years. The ratio of places to applicants is currently around 1:1.5

To apply you will require the following documents:

  • Bachelor/diploma certificate or equivalent certificate from abroad

Certificates from abroad as well as a description of the courses and exemplary documents must be submitted as certified translations. Letters of recommendation from teachers from the institute abroad will help the head of the academic section to assess whether the admission requirements have been fulfilled.

  • List of courses completed or transcript
  • Letter of motivation
  • CV in table form
  • Proof of residence

Please note:

It is not possible to save incomplete online applications. You must complete your application in one session. Your application will be valid as soon as you upload all of the required documents and certificates. In the event that some documents (e.g. references) are not available at the time you apply, you may submit these later via email, mail or in person by no later than the start of the degree program.

The selection process

The selection process consists of a written test and an interview with the selection committee.

  • Aim
    The aim is to ensure places are offered to those persons who complete the multi-level selection process with the best results. The tests are designed to assess the skills needed for an applicant's chosen profession.
  • Procedure
    The written selection test assesses the applicant's knowledge of programming, molecular biology and statistics. Applicants then undergo a selection interview on the same day to provide a first impression of their personal aptitude. The qualities interviewers are looking for include professional motivation, an understanding of the profession, performance, time management.
    Points are assigned to each section of the test.
  • Criteria
    The criteria for acceptance are based solely on performance. The geographical origin of the applicant has no influence on the selection decision. The admission requirements must be met in all cases. Applicants are evaluated according to the following weighting system:
    > Written selection test (60%)
    > Selection interview (40%)

    The study places are awarded at the latest in mid-July based on this ranking. The process as a whole and all test and assessment results from the selection process are documented in a transparent and verifiable manner.

Secretary's office

Elisabeth Beck
Elisabeth Holzmann, Bakk.techn.
Johanna Bauer
Mag.a Susanne Polansky
Muthgasse 62
1190 Vienna
T: +43 1 606 68 77-3600
F: +43 1 606 68 77-3609
bioengineering@fh-campuswien.ac.at

Office hours during semester
Mon. to Thu. 4:30 p.m. to 6:00 p.m.

By appointment
Mon. to Thu. 10:00 a.m. to 6:00 p.m.
Fri. 10:00 a.m. to 1:00 p.m.

Teaching staff and research staff


Cooperations and Campusnetzwerk

We work closely with numerous industrial companies, universities such as the University of Natural Resources and Life Sciences, Vienna (BOKU) and the associated Vienna Institute of Biotechnology (VIBT) and other research institutes. This guarantees you strong contacts for your professional career or participation in research and development activities. You can find information about our cooperation activities and much more at Campusnetzwerk. It’s well worth visiting the site as it may direct you to a new job or interesting event held by our cooperation partners!

Campusnetzwerk