Data Science & Intelligent Analytics PT
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Data Science & Intelligent Analytics PT

Master's degree program

Study program profile

The master study program “Data Science & Intelligent Analytics” focuses on conveying skills associated with the acquisition, integration, storage, analysis, usage and innovative processing of data. It further conveys skills in the area of organization and management of data-driven projects and products.

Important notice:

Equality grants for citizens from third countries (non-EU, non-EEA, non-CH)
Special grant for applicants to the master study program Data Science & Intelligent Analytics

Solutions for increasing data diversity

In the era of digitization, digital facts for the real work and living environment are becoming more and more important. Although data has always been used to support entrepreneurial processes, growing data storages and continually improving possibilities for automated data analysis offer new and underutilized potential for entrepreneurial activity. Data scientists must also align themselves with application disciplines in order to provide optimal decision-making bases for companies.

Highlights

  • Top career opportunities due to the combination of technical expertise and application knowledge
  • Training with real data and state-of-the-art evaluation tools
  • Practice-oriented specialist knowledge for example in the following fields: visual analytics, big data processing, machine learning, business intelligence
  • Application-oriented specialist knowledge for example in the following fields: leadership, project management, innovative business models, business ethics

Vocational fields

  • Big data application developer
  • Data engineer
  • Big data & BI consultant
  • Data scientist
  • Manager for data science teams
  • Analyst for data science teams
  • Specialist for business intelligence & analytics

At the center of the next digital revolution

This study program is interdisciplinary as it unites technical skills from information science, statistics, mathematics and related application disciplines. Graduates acquire ready-to-use skills in data and its underlying technologies, in application domains within the company context as well as in the development and implementation of innovative solutions for sustainable and profitable usage of acquired data. These four interlinked core aspects, which only unfurl their effects in joint usage constitute the essential driving forces behind the study program.

Focal points of the study program

  • 54% technical knowledge in data science & intelligent analytics
  • 13% management, leadership & business ethics
  • 15% consolidation courses & application of data science
  • 18% self-reliance & problem-solving skills

Master Data Science & Intelligent Analytics

The special challenge consists in achieving a sufficiently high degree of complexity in the observation of data and technology at which the effects of data science only become practically observable. In order to achieve this, the study program relies on problem-supported learning with practically relevant datasets and technology packages that are specifically developed for this purpose: data science labs (hardware & software, infrastructure and large datasets). The master study program conveys a portfolio of skills that address various sections of the value-added chain: from raw data and underlying interface functions (management, strategy and business ethics) to economic success.

Work compatible due to blended learning skill

The study program’s curriculum offers an integrated blended learning approach (30% of courses mix physical attendance courses with e-learning) and thereby additionally supports extra-occupational students. An independent learning management system, multimedia e-learning instruments and “virtual classrooms” are used. Suitable teaching content can be processed outside of physical attendance phases in a location-independent manner, which reduces physical attendance and travel times and ensures increased compatibility with working life. Additionally, the teaching quality for physical attendance courses is increased as more space is available for exercises, discussions and other forms of interactive learning (more information about the eLearning Center).

The development of this study program has been made possible by the regional management KUUSK with funding by the Leader Program.

facts

Duration

4 semesters

Qualification rewarded

Master of Science in Engineering (MSc)

Language of instruction

74% German, 26% English

Semester abroad

Week abroad, 2nd semester

Fees

€ 363,36 + € 19,70 student union fee per semester

Organisational form

Part-time

Places per year

25

Level of qualification:
second cycle, master

General admission requirements:
view this link.

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Kontaktpersonen

Mitarbeiterfoto Karsten Böhm
Prof. (FH) Dipl.-Informatiker Karsten Böhm
Director of Studies
+43 5372 71819 133
Karsten.Boehmfh-kufstein.ac.at
Hartl Tatjana
Tatjana Hartl
Organizational Assistant
+43 5372 71819 324
Tatjana.Hartlfh-kufstein.ac.at
Infofolder
Infofolder

Förderer

Mit Unterstützung von Bund, Land und Europäischer Union: