Revised curriculum Data and Information Science – FH JOANNEUM

Data and information are the most highly valued commodities of the 21st century. Expertise in fields such as big data, artificial intelligence, data science etc. is in great demand. This programme offers aspiring high potentials from the world of computer science, information management or mathematics an excellent opportunity to specialise.

This course provides you with a top education in the field of data and information science. You gain in-depth knowledge of mathematical and statistical data and information analysis and learn to use intelligent analysis tools for transforming data and information into valuable knowledge. You will also be familiarised with business intelligence, database management and computational intelligence issues. Based on fundamentals in mathematics, statistics and informatics, you will learn the methods and tools required to transform data into valuable decision-making knowledge.

Key areas of the Master’s degree programme

Mathematics & Statistics.

Mathematics and statistics offer universal and efficient algorithms and methods for data mining. Knowledge of these tools is essential for the targeted analysis of large datasets. Multivariate methods are used to detect complex patterns and hidden connections in large datasets.

Database Management & Business Intelligence.

Data are often held in highly structured databases and data warehouses. This requires both in-depth knowledge and practical experience in database design and structuring and automated import of large datasets. Data visualisation is also a key skill when dealing with comprehensive datasets.

Computational Intelligence.

Neural networks, swarm intelligence and fuzzy logic are only a few of the buzzwords encountered in the wide field of artificial intelligence and machine learning. These cutting-edge methods have the potential to produce impressive results in information processing.

Application-oriented Transfer.

You will apply the knowledge and skills you have acquired to complex applied problems in a comprehensive case study, a practical project and the final Master’s thesis. This transfer is complemented by addressing the relevant social and legal aspects.

Study mode and attendance

Study mode

The lectures of the full-time course are organised in a work-friendly manner. This means you will have the benefit of being able to study and in particular to work on projects and your Master’s thesis, while earning a living in a part-time job. Weekends are free. E-learning accounts for a small portion of classes.

Warm-up Data Science

We offer a voluntary warm-up course prior to the start of the 1st semester in September to help you prepare for your studies. Our “Warm-up Data Science” course consists of four sessions and will give you an insight into key curriculum areas and enable you to refresh your basic knowledge. Please contact the degree programme for details of the course and information about the dates.

Course times
  • Tuesday and Wednesday: from 17:15
  • Thursday and Friday: all day

Exceptions are possible, especially for tutorials and examinations.

The course has been revised to include even better coordinated topics. Find out more about the curriculum or print version Flyer_DAT

Application deadline: 17th August 2020