DATA SCIENCE | COMPUTER SCIENCE
Graduates of any of the Data Science foci at JKU are highly qualified to pursue excellent international employment opportunities across various domains, such as medicine, pharmaceutics, smart production, information technology, finance and marketing, both in academia and in industry. Besides their general qualifications as graduates of Computer Science, Statistics, or Business Informatics, they are notably qualified to lead or to be part of Data Science projects in business and industry, contributing from the perspective of their field. They can efficiently communicate and work in interdisciplinary teams by having commonly acquired fundamentals of machine learning, data mining, data warehousing, data visualization, and statistical principles of Data Science. They can specifically contribute by having obtained special high-level skills in their field.
Graduates of the Data Science focus within the Master's Study of Computer Science are particularly proficient in a wide range of data analysis and big data management techniques enabling them to use, to devise, and to implement novel data analysis algorithms.
>> CLICK HERE FOR MORE INFORMATION ON DATA SCIENCE WITHIN THE MASTER's STUDY OF COMPUTER SCIENCE <<
SELECTED DATA SCIENCE RESEARCH PROJECTS AT JKU
INDIVIDUALIZED PREDICTION OF RISK FOR HEART SURGERIES
A model is constructed that predicts individual risk scores on the basis of pre-operative data.
This model is trained using a large data set of previous cases.
More Information
DATA-DRIVEN MUSIC RESEARCH: COMPUTER-BASED ANALYSIS OF THE ART OF HERBERT VON KARAJAN
Computational data analysis and machine learning methods give new insights
into musical interpretations by conductor genius Herbert von Karajan.
More Information
IN-SILICO TOXICITY PREDICTION
Large databases of chemical compounds and their measured toxic effects are exploited to train
models that predict the toxicity (and other biological effects) of new chemical compounds.
More Information
SOCIAL MEDIA ANALYSIS AND MINING
User-generated data from various online social platforms (Twitter, Instagram, Last.fm, etc.) is
exploited to predict users' personality traits.
More Information
DEEP LEARNING FOR AUTONOMOUS DRIVING
Latest deep learning approaches are used to interpret the vast amount of data occurring in autonomous vehicles.
More Information
PERSONALIZED MUSIC RECOMMENDER SYSTEMS
Mining huge amounts of user-generated listening events helps building the next generation music
recommender systems, tailored to users and their cultural backgrounds.
More Information
CONTACT
For further information on the Data Science focus in the Master's Study of Computer Science, please contact:
Assoz.Univ.-Prof. Dr. Ulrich Bodenhofer
Tel. +43 732 2468 4526
E-mail
ulrich.bodenhofer@jku.at
