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
Barbara Philipp
Muthgasse 62
1190 Vienna
T: +43 1 606 68 77-3600
F: +43 1 606 68 77-3609
bioengineering@fh-campuswien.ac.at

Map Muthgasse (Google Maps)

Office hours during semester
Mon to Thu, 4.30 p.m.-6.00 p.m.

By appointment
Mon to Thu, 10.00 a.m.-6.00 p.m.
Fri, 10.00 a.m.-1.00 p.m.




Duration of course
4 Semester
Final degree
Master of Science in Engineering (MSc)
27Study places
120ECTS
Organisational form
part-time

Application period for academic year 2020/21

1st January to 15th June 2020

 

 

tuition fee / semester:

€ 363,361

+ ÖH premium + contribution2

 

1 Tuition fees for students from third countries € 727,- per semester

 

2 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

Lecture SWS ECTS
Databases VO 2 4
Selected chapters of Mathematics VO 1 2
Data Mining and Visualization ILV 1 2
Introduction to Programming ILV 2.5 5
Introduction to Linux and Shellscripting ILV 1 2
Basics of Algorithms VO 1 2
Proteomics ILV 1.5 3
Sequence Comparison and Annotation VO 1 2
Sequence Comparison and Annotation Practice UE 1 2
Statistics ILV 1.5 3
Transcriptomics and Genomics ILV 1.5 3

Lecture SWS ECTS
Algorithms Practice UE 1.5 3
Applied Programming UE 2.5 5
Selected Chapters of Bioinformatics SE 1 2
Database Systems ILV 1.5 3
Machine Learning Methods ILV 1 2
Medical Analysis of Genoms VO 1 2
Software Development ILV 2 4
Specific Statistics Practice UE 1 2
Structure Prediction in Biopolymeres VO 1 2
Systems Modelling LB 2 4
Master Thesis Preparation SE 0.5 1

Lecture SWS ECTS
Automation ILV

Automation ILV

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

Homework
Written 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 SE

Biotechnological Seminar SE

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 ILV

Business Plan and Cost Accounting ILV

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 ILV

Development of bioinformatical Workflows ILV

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 test
Hands-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: Stefan Smyczko, MSc

1 SWS
2 ECTS

Lecture contents

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.

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 ILV

Innovation and Entrepreneurship ILV

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 ILV

Clinical Bioinformatics ILV

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

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

Teaching methods

Lecture / Practical exercises / Case-studies / Presentations

1.5 3
Metagenom Analysis ILV

Metagenom Analysis ILV

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 ILV

Molecular Design ILV

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 ILV

Network and Internet Technologies ILV

Lector: Silvia Schmidt, MSc BSc

1.5 SWS
3 ECTS

Lecture contents

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

Assessment methods

Written exam & practical exercises

Teaching methods

lecture, exercises, inverted classroom

Language

German

1.5 3
Patenting ILV

Patenting ILV

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 licensing;

Assessment methods

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

Teaching methods

Lecture

Language

German

1 2

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

Semester dates
Summer semester 2020: 10th February to 12th July 2020
Winter semester 2020/21: 17th August 2020 to 31st January 2021

Number of teaching weeks
20 per semester

 

 

Times
6.00 p.m.-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.

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

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.

Admission procedure

The admission procedure consists of a written test and an interview with the admission committee.

  • Aim
    The aim is to ensure places are offered to those persons who complete the multi-level admission procedure with the best results. The tests are designed to assess the skills needed for an applicant's chosen profession.
  • Procedure
    The written admission test assesses the applicant's knowledge of programming, molecular biology and statistics. Applicants then undergo an admission 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 admission decision. The admission requirements must be met in all cases. Applicants are evaluated according to the following weighting system:
    > Written admission test (60%)
    > Admission 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 admission procedure are documented in a transparent and verifiable manner.

Contact

Secretary's office

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

Map Muthgasse (Google Maps)

Office hours during semester
Mon to Thu, 4.30 p.m.-6.00 p.m.

By appointment
Mon to Thu, 10.00 a.m.-6.00 p.m.
Fri, 10.00 a.m.-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