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.
Elisabeth BeckElisabeth Holzmann, Bakk.techn.Johanna BauerBarbara PhilippMuthgasse 621190 ViennaT: +43 1 606 68 77-3600F: +43 1 606 68 email@example.com
Map Muthgasse (Google Maps)
Office hours during semesterMon to Thu, 4.30 p.m.–6.00 p.m.
By appointmentMon to Thu, 10.00 a.m.–6.00 p.m.Fri, 10.00 a.m.–1.00 p.m.
Application period for academic year 2020/21
1st January to 15th June 2020
tuition fee / semester:
+ 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)
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
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.
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.
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.
Lector: Dipl.-Ing. Werner Seiler
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.
HomeworkWritten test at the end of the lecture or oral examination (TBD)
Lecture, design and calculation exercises with Excel and simulation programs.Home exercise.
Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf, FH-Prof. DI Dr. Michael Maurer
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.
Students will be graded on their performance in the lab and the design of the label and web page.
Presentation, praktical lab exercise
Lector: Mag. Dipl.-Ing. Dr. Martin Pfeffer, Mag. Karin Pfeffer
"hands-on" priciples in business administrationDevelopment of a business plan
preparation & presentation of a business plan
Lector: Dr. Jürgen Zanghellini
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
Home work and final exam
Lecture and in class exercises
Lector: Dipl.-Ing. Maciej Kandula
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, shareabilitySpecific examples: with Conda and Snakemake
Multiple-choice intermediate testHands-on final exam
Lecture / Demonstrations / Practicals / Home tutorials
Lector: Stefan Smyczko, MSc
UPDATE LECTURE TITLE: 2SOFTWARE IN MEDICAL FIELD - SOFTWARE AS A MEDICAL DEVICE"To gain the essential know how on the topic "Software as a Medical Device". Insight into the legal basis for these kinds of products incl. definition and distinguishing it from other products; when is software a medical device? Which phases of development do exist, what has to be concerned when developing such product? Quality control and quality assurance as well as actual changes in the legal environment (MDR - Medical Device Regulation). Special focus is set on Validation of software as a medical device.
Presentation of the student and their evaluation as assessment
Introduction into the topic as lecture, followed by selected topics to be presented by the student on the last day of the lecture.
Lector: Dipl.-Ing. Dr. Gottfried Himmler
The EntrepreneurHow do new things develop?Recipies for success?What is an enterprise?Systems theory perspectiveWhat is management?Entrepreneur versus Manager:TasksCharacterThe ideaThe Business ModelThe Business PlanThe ideal Leader.Basics of Management.Tasks of Managers.Management Tools.
Lecture & Workshop
Lector: Smriti Shridhar, PhD
Understanding genetic diseases, biomarkersGenome wide association studies (GWAS)Interpreting DNA variantsHuman Genome ProjectClinical Data and Ethics
Multiple-Choice Questions in the middle of the course and scientific papers related to the topic will be presented by students (in groups) at the end of the course
Lecture / Practical exercises / Case-studies / Presentations
Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf
Introduction to the production and analysis of metagenome/microbiome data.
Presentation of a practical task.
Vortrag, Diskussion und praktisches Beispiel.
Lector: Dr. Sven Brüschweiler, Dr. Leonhard Geist, Dr. Tanja Gesell
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
Practical sessions and a project at the end of the course (50% each)
theoretical and practical exercises
Lector: Silvia Schmidt, MSc BSc
Internet surveyInternet-of-Things / Biothings surveyLoRaWAN ProjectIT-Security basicsGenome browser basics
Written exam & practical exercises
lecture, exercises, inverted classroom
Lector: Dipl.-Ing. Anatol Dietl, Mag. iur. Dipl.-Ing. Dr. Michael Stadler
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 licensing;
written tests at the beginning of the lecture units; homework problem
Semester datesSummer semester 2020: 10th February to 12th July 2020Winter semester 2020/21: 17th August 2020 to 31st January 2021
Number of teaching weeks20 per semester
Times6:00 p.m. to 9:20 p.m. (ca. three times Mon to Fri), Sat ca. every two weeks (all day)
Language of instruction German
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:
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.
Equivalence is determined by international agreements, validation or in individual cases a decision by the head of the academic section.
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:
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.
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 consists of a written test and an interview with the selection committee.
Head of Degree Program Bioengineering, Bioinformatics, Biotechnological Quality Management, Bioprocess Engineering T: +43 1 606 68 77-3601 firstname.lastname@example.org
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!
Information Folder Bioinformatics Master (PDF)
Folder Applied Life Sciences (PDF)