St. Pölten University of Applied Sciences

Data Science and Artificial Intelligence

  • BSc
  • German
  • 6 Semester
  • St. Pölten
  • 45 Places

Future-Proof with AI and Data Science

Data scientists and AI experts are in high demand: companies seek talent capable of transforming data into valuable insights. Whether in technology, healthcare, finance, or marketing, graduates have access to numerous exciting career opportunities.

Course Content

This study programme enhances your analytical skills and deepens your knowledge in Machine Learning, Big Data, and Business Intelligence. You will learn practical techniques like Deep Learning and Data Visualization. These skills enable you to tackle societal challenges, such as in healthcare or environmental protection. Data Science and Artificial Intelligence pave the way for a forward-looking career full of innovations.

Key areas 

The program consists of three main areas:

  • Data Science: At the core of Data Science are key topics such as statistics, programming, and data visualization. This is complemented by the teaching of legal and ethical principles in the field of artificial intelligence.
  • Artificial Intelligence explores exciting fields such as Machine Learning, Deep Learning, Generative AI, Computer Vision, and Natural Language Processing. You will learn how to apply these technologies in practice, from analyzing large datasets to developing innovative AI solutions.
  • Business immerses you in the world of Digital Business and Business Intelligence. Gain solid knowledge of economic fundamentals and learn how digital technologies transform business models and how data-driven decisions propel companies forward.

Use the elective courses in the 5th and 6th semesters to further tailor your studies.

Vocational Internship (4th semester)

The internship must be completed in the 4th semester (worth 20 ECTS). Students independently contact their preferred companies, with access to the program's extensive partner network.

During the internship, you’ll have the opportunity to apply your knowledge, gain first insights into the business world, and gather valuable experience.

Semester Abroad or European Project Semester (5th semester)

An essential part of the program is the 5th semester, where students form groups to solve a data-driven problem within a project.

The 5th semester can also be completed abroad at a partner university.

Career Prospects

You help shape current developments and can actively influence future trends and innovations. As a graduate you are in demand everywhere, regardless of the industry:

  • Data Scientist
  • Machine Learning Engineer
  • Data Analysts
  • Business Intelligence Specialists
  • Big Data Engineers
  • AI Consultants

Entry requirements

General university entrance qualification or a relevant professional qualification

Appointment

Application mode:
For more information visit: https://www.fhstp.ac.at/en/academic-studies-continuing-education/how-to-apply#/

Application time:
For application deadlines visit: https://www.fhstp.ac.at/en/academic-studies-continuing-education/how-to-apply/application-deadlines-and-admission-dates?set_language=en

Appointment for the admissions process:
For admission dates visit: https://www.fhstp.ac.at/en/academic-studies-continuing-education/how-to-apply#/

Start of studies:
annually in September

Tuition fee:
EUR 363,36 + ÖH contribution

Internship:
Two internships for a total of 15 weeks

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