Bioinformatics

Bioinformatics develops algorithms and programs that simulate biochemical processes and analyze scientific and medical data. It combines knowledge about biochemical and molecular biological processes in organisms with applied computer science, machine learning and model development. Data management, security and integration are as much a part of the field as systems biology or molecular design. Today, bioinformatics is an indispensable part of research, but also of industrial development and production. Thus, excellent perspectives await you at the interface of basic research and development.

Department

Applied Life Sciences

Topic

Technologies

Highlights

Focus on medical bioinformatics, molecular design and systems biology
Focus: Machine Learning and Automation
Access to a first-class network of Austrian and international universities and universities of applied sciences, research institutes, and renowned biotech companies

Facts

Final degree: Master of Science in Engineering (MSc)

Duration of course: 4 Semesters

Organisational form: part-time

Tuition fee per semester € 363,36¹ + ÖH premium + contribution²

ECTS: 120 ECTS

Language of instruction: German

Application Winter semester 2024/25: 01. January 2024 - 15. June 2024

Study places: 22

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

²for additional study expenses (currently up to € 83,- depending on degree program and year)

Before the studies

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

Why you should study with us

Study place = lab place

Sharing is good, however, not your lab space, please. You are guaranteed your own.

Highly sought-after knowledge

What you learn here is crucial to solving global problems.

International network

Going abroad for an internship or a job: this is the next logical step when studying with us.

Do you still have questions about the study?

Make an appointment with Elisabeth Holzmann (Secretary's office) elisabeth.holzmann@fh-campuswien.ac.at for a a personal consultation via Zoom.

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

The following applies to international applicants:

General Fee Regulation

open

Information for applicants with non-Austrian (school) certificates

open

To apply you will require the following documents:

Proof of identity (copy of passport or copy of identity card)
In case German is not your first language: Proof of German language skills at level C1
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.

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.

Written test and interview
May and June

Planned start of the first semester
Mid of August

During the studies

In teaching and research, you will benefit from our strong network with industry. In our degree program, experts from the field teach and contribute their application-oriented know-how. Our IT infrastructure (Linux) is available for students in lectures and for master's theses. Numerous R&D projects at the study program offer you the opportunity to deal with cutting-edge applications and to establish valuable contacts for your professional future. Practical relevance is also guaranteed when we host one of our freely accessible lecture evenings with top-class experts as part of our Campus Lectures.

The program has a strong focus on molecular biology and is specifically tailored to the requirements of the pharmaceutical and biotech industry, but also offers enough basic knowledge and diversity to cover the needs of modern medicine. For a long time now, the surge of data in life science research cannot be managed without bioinformatics, and in the pharmaceutical and biotechnology industry there is an increasing focus on computer-based analysis and modeling. In recent years, however, it has also become clear in the medical field what enrichment the use of bioinformatics brings to the field.

No matter whether risk factors are to be determined by genetic markers or the microbiome is to be analyzed, rare diseases are to be detected or the course of diseases is to be predicted, bioinformatics methods make it possible. Whether new drugs are to be developed or the production of biotechnological products is to be optimized, the demand for bioinformaticians is increasing rapidly. With our production-related training, you are in demand.

Bioinformatics form the interface between IT and biology, between experiment and knowledge. Therefore, you combine applied computer science and machine learning with biological data analysis in your studies.

In Applied Informatics and Machine Learning you will deal with programming, networks and database systems, classical statistics and machine learning methods. With algorithms and software development, you will get the tools to implement projects in a meaningful and efficient way.
In the field of biological data analysis, you will learn to handle a wide variety of sequencing data, explore the microbiome, make structural and functional predictions, and work with metabolic models.
Skills in project management and business management will complete your education.
You will apply the methods of scientific work within the framework of your master's thesis.

Curriculum

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 and vectors
2 Systems of linear equations
3 Principal component analysis
4 Recursions
5 Counting problems
6 Discrete dynamical optimization
7 Markov chains and Hidden Markov-modelsRepresentation
8 Distance based classification
Assessment methods
Written examination
Teaching methods
Lecture combined with exercises.
Language
German

1 SWS

2 ECTS

Proteomics ILV
Proteomics ILV
Lector: Dr. Gerhard Dürnberger
1.5 SWS 3 ECTS
Lecture contents
Introduction to Proteomics
Proteomics analysis via mass spectrometry (MS) focusing on bottom-up shotgun MS
data analysis: peptide identification & quantification
databases, public repositories & quality control
applications & statistical analysis
Assessment methods
exercises and written exam
Teaching methods
Lecture, exercises on the computer
Language
German

1.5 SWS

3 ECTS

Statistics ILV
Statistics ILV
Lector: Eva Valerie Lehner, BSc, 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
Language
German

1.5 SWS

3 ECTS

Databases VO
Databases VO
Lector: DI. Dr.techn. Dominik Ertl, FH-Prof. FH-Hon.Prof. 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 exam
Distance learning: Practical assignment
Teaching methods
Lecture
Student presentations followed by discussions
Practical assignments in small groups
Open distance learning
Language
German

2 SWS

4 ECTS

Data Mining and Visualization ILV
Data Mining and Visualization ILV
Lector: Dipl.-Ing. Barbara Lederer
1 SWS 2 ECTS
Lecture contents
Basic concepts of Data Mining
Introduction into Visualization
Pros and Cons in representations
Practical Exercises
Assessment methods
The examination consists of attendance, active participation as well as the grading of the exercise work and presentations.
Teaching methods
Lecture plus exercise
Language
German-English

1 SWS

2 ECTS

Introduction to Programming ILV
Introduction to Programming ILV
Lector: DI Dr. Gerhard Gaube
2.5 SWS 5 ECTS
Lecture contents
Programming techniques with Python in the context of biological problems:

* Runtime environment, functionality compiler and Google Colab
* Variables, data types, operators, control structures, functions
* Sequential data types, mappings and sets
* Concepts of object-oriented programming and modularization
* IO functionalities
* Simple application examples with Biopython
Assessment methods
Presentation of homework and written exam
Teaching methods
Each unit consists of an introductory theoretical part with corresponding exercises.
Lecture with exercises
Homework with presentations
Language
German

2.5 SWS

5 ECTS

Introduction to Linux and Shellscripting ILV
Introduction to Linux and Shellscripting ILV
Lector: Ing. DI (FH) Nadine Elpida Tatto
1 SWS 2 ECTS
Lecture contents
The operating system Linux is essential in bioinformatics. Basic knowledge in the use of Linux (Ubuntu) is assumed.

The lecture focuses on shell scripting and the usage of sed and awk. The named tools will be used for the processing of typical file formats in bioinformatics.
Assessment methods
Written exam, complete and punctual delivery of exercises in a combined log file (Prerequisite for exam admission).
Teaching methods
Lecture and exercises during lecture time and at home
Language
German

1 SWS

2 ECTS

Basics of Algorithms VO
Basics of Algorithms VO
Lector: Dr. Christian Steineder
1 SWS 2 ECTS
Lecture contents
Introduction to algorithms, graph theory, basic common and bioinformatics algorithms
Assessment methods
Final project
Teaching methods
Discussion of the content illustrated with examples. Course material will be provided.
Language
German-English

1 SWS

2 ECTS

Transcriptomics and Genomics ILV
Transcriptomics and Genomics ILV
Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf
2 SWS 4 ECTS
Lecture contents
1) Acquire knowledge on selected bioinformatics chapters (Short/long-read technologies, selected applications e.g. ChIP-Seq, RNA-Seq) and
2) the theoretical basics and application of relevant bioinformatics tools for the analysis of sequencing data
Assessment methods
40 % Hands on exercise: Hand in a short program which solved a given task
20 % Moodle exam
40 % Journal Club: Presentation of a scientific paper in Groups
Teaching methods
- Introductions and explanations (lecture)
- Exercises using the computer
Language
German

2 SWS

4 ECTS

Transcriptomics and Genomics Practice UE
Transcriptomics and Genomics Practice UE
Lector: Lukas Fürnwein, BSc, FH-Prof.in Mag.a Dr.in Alexandra Graf
1.5 SWS 3 ECTS
Lecture contents
The exercise should give students the option of working with software and programs introduced in the lecture Transcriptomics and Genomics.
Assessment methods
Practical examples, DataCamp courses
Teaching methods
DataCamp, Moodle, Linux server, example scripts
Language
German

1.5 SWS

3 ECTS

Machine Learning Methods ILV
Machine Learning Methods ILV
Lector: Dr. Christian Steineder
1 SWS 2 ECTS
Lecture contents
Upon successful completion, students will have knowledge in:

- key terms of the field (AI, ML, ...)
- important concepts (bias-variance trade off, cross-validation, ...)
- overview of important algorithms in the field
- ideas behind the algorithms
- basic programming in python
- application of ML algorithms to real-world data
Assessment methods
Final report
Teaching methods
Interactive Lecture and Discussions
Language
English

1 SWS

2 ECTS

Selected Chapters of Bioinformatics SE
Selected Chapters of Bioinformatics SE
Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf, DI (FH) Anton Grünberg
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
Seminar
Talks and Discussions
Language
German-English

1 SWS

2 ECTS

Database Systems ILV
Database Systems ILV
Lector: DI. Dr.techn. Dominik Ertl, FH-Prof. FH-Hon.Prof. 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 a web application with Python
- Practical Programming tasks in small groups
Assessment methods
Continuous assessments throughout the course (grading of presentations and participation)
Distance learning: Practical assignment
Teaching methods
Student presentations followed by discussions
Practical assignments in small groups
Language
German

1.5 SWS

3 ECTS

Medical Analysis of Genoms VO
Medical Analysis of Genoms VO
Lector: Smriti Shridhar, PhD
1 SWS 2 ECTS
Lecture contents
Understanding genetic diseases, biomarkers
Genome wide association studies (GWAS)
Interpreting DNA variants
Human Genome Project
Assessment methods
Multiple-Choice Questions in the middle of the course
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
Language
English

1 SWS

2 ECTS

Specific Statistics Practice UE
Specific Statistics Practice UE
Lector: Eva Valerie Lehner, BSc, 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
creation of interactive apllicatins with R Shiny
Assessment methods
continuous assessments throughout the course and final examination
Teaching methods
Applied practice with "R"
Language
German

1 SWS

2 ECTS

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 SWS

2 ECTS

Data Analysis Laboratory LB
Data Analysis Laboratory LB
Lector: Lukas Fürnwein, BSc, FH-Prof.in Mag.a Dr.in Alexandra Graf, Laurentius Orsolic, BSc, Monika Waldherr, MSc
2 SWS 4 ECTS
Lecture contents
-) Introduction to the Oxford Nanopore sequencing technology
-) Sequencing of DNA samples using MinION in the wet lab
-) Development of suitable quality control
-) Development of suitable analysis pipeline
-) Interpretation and discussion of results
Assessment methods
Immanent examination, protocol of the results of the practical exercises, final exam
Teaching methods
-) Presentation
-) practical exercises in the wet-lab and in-silico
Language
German

2 SWS

4 ECTS

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 SWS

1 ECTS

Softwaredevelopment ILV
Softwaredevelopment ILV
Lector: Lukas Fürnwein, BSc, DI Christian Heiderer
3 SWS 6 ECTS
Lecture contents
This course targets 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

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
Self-written programs at the middle and the end of the course
Teaching methods
Presentations and discussions, hands-on practice on the PC, discussions.
Language
German-English

3 SWS

6 ECTS

Applied Programming Practice ILV
Applied Programming Practice ILV
Lector: Ing. Christian Binder, BSc, Dominik Jasiczek, BSc
3 SWS 6 ECTS
Lecture contents
- Introduction to programming using C/C++ with Linux
- Usage of Compilers and Debuggers
- Implementation of Examples
- Excursus into object-oriented Progamming and high Performance computing
- From the basic idea to the implementation
Assessment methods
recurring tests, exercises, presentation, collaboration
Teaching methods
- lecture
- presentation and collaboration
- practice during the lecture
- exercises
Language
German

3 SWS

6 ECTS

Automation ILV
Automation ILV
Lector: Daniel Mitterecker, BSc, MSc, Smriti Shridhar, PhD
3 SWS 6 ECTS
Lecture contents
Part 1
Introduction to process automation.
Understanding why and how automation of bioinformatics processes is done.
Exploring state-of-the-art workflow management systems used in the field of bioinformatics.

Part 2
Introduction to version control with Git.
Utilization of container virtualization in bioinformatics.
Introduction to "Public Cloud Computing".
Assessment methods
Homework
Written test at the end of the lecture
Project
Teaching methods
Lecture and exercises
Language
German-English

3 SWS

6 ECTS

Biotechnological Seminar SE
Biotechnological Seminar SE
Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf, FH-Prof. DI Dr. Michael Maurer, Laurentius Orsolic, BSc
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 SWS

1 ECTS

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 SWS

4 ECTS

Validification of Software and Medical Devices VO
Validification of Software and Medical Devices VO
Lector: Stefan Smyczko, MSc
1 SWS 2 ECTS
Lecture contents
FOCUS OF THE LECTURE ON: "SOFTWARE 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 SWS

2 ECTS

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 SWS

2 ECTS

Clinical Bioinformatics ILV
Clinical Bioinformatics ILV
Lector: Mag.rer.nat.Dr.rer.nat. Sophia Derdak, DDr. Alexander Tolios, BA MA MSc
1.5 SWS 3 ECTS
Lecture contents
Being able to use commandline-tools to perform bioinformatic analyses for detecting genetic peculiarities.
Assessment methods
Writing a bash-script able to automatically perform bioinformatical analyses.
Teaching methods
Lecture / Practical exercises / Case-studies / Presentations.
Language
English

1.5 SWS

3 ECTS

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
Practical exercise, presentation
Teaching methods
Vortrag, Diskussion und praktische Beispiele.
Language
German-English

1 SWS

2 ECTS

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
Language
German-English

1.5 SWS

3 ECTS

Network and Internet Technologies ILV
Network and Internet Technologies ILV
Lector: Tobias Buchberger, BSc MSc
1 SWS 2 ECTS
Lecture contents
Basics and Overview of Networking/Internet: e.g. ISO/OSI Model, IP, ARP, ICMP, TCP/UDP, HTTP, DHCP
Basic Understanding of the Internet of Things
IT-Security Basics: e.g. Cryptography, Secure Communications, Authentication, Attacks
Genome Browser Basics
Excercises in a networking lab regarding Networking, ARP (Spoofing), Machine-in-the-Middle (MitM) Attacks and HTTPS
Assessment methods
Written exam & practical exercises
Teaching methods
Lecture, exercises in a networking lab, inverted classroom
Language
German

1 SWS

2 ECTS

Patenting ILV
Patenting ILV
Lector: Dipl.-Ing. Anatol Dietl, Mag. iur. Dipl.-Ing. Dr. 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 SWS

2 ECTS

Computational Systems Biology ILV
Computational Systems Biology ILV
Lector: Dr. nat. techn. David Ruckerbauer
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
Exercises and written exam
Teaching methods
Lecture and in class exercises
Language
German-English

1.5 SWS

3 ECTS

Master Thesis Supervision AP
Master Thesis Supervision AP
Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf
0 SWS 1 ECTS
Lecture contents
Methodology for the implementation of the diploma thesis:
clarification of the procedure through individual presentations of the thesis
Assessment methods
Assessment of the presentation
Teaching methods
Presentations
Language
German

0 SWS

1 ECTS

Master Thesis MT
Master Thesis MT
Lector: FH-Prof. DI Dr. Michael Maurer
0 SWS 28 ECTS
Lecture contents
The content of this course is the writing of a diploma thesis.
Assessment methods
The „written diploma thesis“ constitutes the result of the quality of the works conducted. For this reason, the assessment is based on the quality of the research as well as on the written presentation.
Teaching methods
The diploma thesis has to be written in consultation with the FH supervisor and beforehand has to be approved by the head of the academic section.
Language
German

0 SWS

28 ECTS

Master Thesis Seminar SE
Master Thesis Seminar SE
Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf
1 SWS 1 ECTS
Lecture contents
In the course each student presents his/her Master thesis. Progression of the thesis and potential setbacks and problems will be discussed in the group.
Assessment methods
Presentation
Teaching methods
Presentation, discussion
Language
German

1 SWS

1 ECTS

Semester dates
Winter semester: Mid of August to end of January
Summer semester: Beginning of February to mid of July

Number of teaching weeks
20 per semester

Times
6.00 p.m.-9.15 p.m. (ca. four times Mon to Fri), Sat ca. every two weeks (all day)

After graduation

As a graduate of this program, a wide range of occupational fields and career opportunities are open to you. Find out here where your path can take you.

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:

Biotechnology research companies
Biopharmaceutical industry
Industrial Biotechnology

Medical and molecular biology research
Bioinformatics service providers

Studying made easy

Funding & Scholarships

More information here

Time abroad

Expertise, language skills, broadening horizons

Fish jumps out of fishbowl into another fishbowl

Open Lectures

Find out more, in German

Center for academic writing

Intensive German course

EICC

Doctoral Service

Validation

Accessibility

queer @ FH Campus Wien

Networking with graduates and organizations

We work closely with numerous industrial companies, universities such as the University of Natural Resources and Life Sciences, Vienna (BOKU), the Austrian Centre of Industrial Biotechnology (ACIB) and other research institutes. This guarantees you strong contacts for internships, employment 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!

Contact

Head of Degree Program

FH-Prof. DI Dr. Michael Maurer

Head of Degree Programs Bioengineering, Bioinformatics, Biotechnological Quality Management, Bioprocess Engineering
+43 1 606 68 77-3601
michael.maurer@fh-campuswien.ac.at

Secretary's office

Elisabeth Beck
Elisabeth Holzmann, Bakk. techn.
Johanna Bauer
Barbara Philipp

Favoritenstraße 222, E.3.22
1100 Vienna
+43 1 606 68 77-3600
+43 1 606 68 77-3609
bioengineering@fh-campuswien.ac.at

Main Campus Favoriten (Google Maps)

Office hours during semester
Mo to Thur, 4.30 p.m. to 6.15 p.m.

Availability by phone
Mo to Thur, 10.00 a.m. to 6.15 p.m
Fr, 10.00 a.m. to 2.00 p.m

Master's Degree Program

Bioinformatics

At a glance

Focus on medical bioinformatics, molecular design and systems biology

Focus: Machine Learning and Automation

Access to a first-class network of Austrian and international universities and universities of applied sciences, research institutes, and renowned biotech companies

Facts

Why you should study with us

Study place = lab place

Highly sought-after knowledge

International network

Personal consultation via Zoom

Admission requirements

Application

Admission procedure

Dates

What you will learn in this program

1. Semester

Selected chapters of Mathematics VO

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Proteomics ILV

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Statistics ILV

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Databases VO

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Data Mining and Visualization ILV

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Introduction to Programming ILV

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Introduction to Linux and Shellscripting ILV

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Basics of Algorithms VO

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Transcriptomics and Genomics ILV

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Transcriptomics and Genomics Practice UE

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2. Semester

Machine Learning Methods ILV

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Selected Chapters of Bioinformatics SE

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