St. Pölten University of Applied Sciences

Data Science and Business Analytics

  • BSc
  • Full-time
  • German
  • 6 Semester
  • St. Pölten
  • 25 Places

Data Scientist: a Job Profile with a Future

The volume of available data has grown strongly since the beginning of the digital age. Data will increasingly become indispensable to overcome the numerous challenges of the future. Data science is used in the development of new products and in marketing in order to cater to the needs of the customers even better. This practice-oriented study programme teaches you how to convert data into a valuable resource in order to allow for data-backed decision-making and innovations.

Course Content

Data science is a new academic discipline that provides not only statistical and technical skills but also practical and applied knowledge in a selectable specialist area. In order to ensure a broad interdisciplinary education, this knowledge is supplemented by content from the fields of economics, law and ethics.

  • 1. Data literacy imparts the skills to deal with data in a well thought-out way, to collect, evaluate, analyse and visualise data. Important topics include the basics of coding, statistics and data governance.
  • 2. Data science teaches you the skills of machine learning and artificial intelligence. Important topics that are also covered are big data technologies and data warehouse systems.
  • 3. Business analytics deals with economic fundamentals, as well as digital business or business intelligence.

Vocational Internship

The internships are to be completed in the 4th (five weeks) and 6th semester (10 weeks). You contact favoured companies independently. To this end, the extensive partner network of the study programme is available to you.

Semester Abroad or European Project Semester

An essential part of the study programme is the international and interdisciplinary project semester. The English-language semester should ensure that independent of stays abroad, experiences in dealing with international teams are had by all students. In order to solve an interdisciplinary problem within the project, the goal is to form groups (with a group size of three to six students) with an international and interdisciplinary composition. The international-project semester can also be completed abroad at a partner university.

Career Prospects

As a graduate you have a wide range of career opportunities in a variety of specialist areas. In addition to employment as a data scientist, you work as:

  • Data analysts
  • Data engineers
  • Business-intelligence specialists
  • Chief data officers
  • Big-data consultant
  • Business analyst
  • Business-intelligence specialist
  • Customer-data analyst

Organisational Form

Full-time/job-friendly: Blocked attendance times and the use of distance-learning methods make it possible to combine work and study

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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