Exploiting data collections

The continuing trend towards the digitalization of work processes and the immense amount of data to be processed are subjects of current business practice. Companies have collected large amounts of data in recent years and are now faced with the challenge of exploiting these data collections and generating added value for their business areas. They are looking for qualified data scientists who can generate relevant information from large amounts of data and derive recommendations from the processed data.

Becoming a data scientist

A data scientist is expected to be familiar with the entire data value chain. Therefore, graduates of the Master of Science degree program have a practical as well as theoretical understanding in all of the following areas:

  • Data acquisition
  • Data transmission
  • Data storage
  • Data evaluation
  • Data visualization
  • Legal and ethical frameworks

Moreover, graduates can use their acquired professional and methodological competence to pursue a further scientific specialization in the form of a PhD at a technical university.

  • Organization: Fulltime (work friendly)
  • Schedule: Work friendly, schedule to prior agreement

  • Academic Degree: Master of Science in Engineering (MSc) 
  • Language: English 

Information

Contact

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Level of qualification
Master
ECTS credits
120
Tuition fees
€ 363.36 / semester
Qualification awarded
  • Master of Science in Engineering
Duration of study
4 semester
ÖH (Austrian Student Union) fee
€ 20.20 / semester
Language of instruction
Englisch
FH campus
  • Villach

Profile of the Study Program

The newly developed master’s degree program trains future data scientist for a variety of promising career paths in different business areas. There is a great need for experts that are familiar with the entire data value chain, from the acquisition of data, to the extraction of information, and finally the generation and representation of knowledge.

The technical-methodological skills acquired during the program allow the students to identify problems in the acquisition of (sensor) data as well as the transmission of these data and enable them to make a fundamental assessment with regard to the quality of the acquired data. A main focus is on the techniques of storing large, heterogeneous data in order to enable a subsequent valid and timely evaluation using models of machine learning and artificial intelligence. Modern methods of visualization are part of the curriculum to communicate the results and derive recommendations for action.
Graduates of the master’s degree program "Applied Data Science" can use their acquired professional and methodological competence to pursue a further scientific specialization in the form of a PhD at a technical university.

Data science is an incredibly fascinating field of applied sciences. The prerequisite for attending the master's degree program is a completed technical bachelor's or diploma degree from the FH Kärnten or an equivalent program at a recognized domestic or foreign post-secondary educational institution.
What students should bring to their studies:

  • A fundamental interest in topics of artificial intelligence and machine learning.
  • A personality who enjoys discovering innovative and creative solutions.
  • Solid mathematical knowledge and basic programming skills.
  • Basic knowledge of databases and data management.
  • Good language and communication skills.

Graduates of the master’s degree program “Applied Data Science” are able to:

  • work on concrete tasks in a problem-solving manner,
  • recognize the interrelationships of data analysis on large amounts of data on the technology, system, and application level,
  • •apply mathematical, statistical and computer science knowledge,
  • estimate the limits of the state-of-the art procedures, methods and models,
  • design, develop and implement systems for the analysis of large amounts of data
  • professionally carrying out projects with respect to development, implementation and application,
  • reflect, analyze and further develop the basic knowledge acquired during the program,
  • apply the basics and methods of scientific work.

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Job & Career

Graduates of the Master of Science degree program “Applied Data Science” are highly educated specialists with exciting career opportunities in different fields of work. The leading employers for data scientists are typically from the following areas:

  • Public and private research institutions
  • Banks
  • Manufacturers
  • Large retailers
  • E-commerce companies
  • Internet service providers
  • Public and private transport companies
  • Marketing departments/agencies

The successful completion of the master program Applied Data Science in turn qualifies the graduate to undertake a doctorate according to FHStG [Fachhochschul Studies Act] § 6 (4).

Campus

Campus Villach

Europastraße 4
9524 Villach, Austria

+43 5 90500 7700 
villachfh-kaerntenat

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