Quick Facts
- Duration of study: 4 semesters
- ECTS credit points: 120
- Academic degree:
Diplom-Ingenieurin
orDiplom-Ingenieur
(Dipl.Ing. or DI), equivalent to the Master of Science (MSc) - Language of instruction: English
The Master's Programme
In the Master's Degree Programme Data Science, students learn the skills and methods needed to analyse, process and interpret complex data:
- They expand on their knowledge in the areas of analysis, linear algebra, statistics, optimisation, databases, data integration, programming and software development.
- They get to know the most important models and algorithms of logic- and learning-based artificial intelligence.
- They develop new methods for statistics, machine learning and artificial intelligence and implement these models using state-of-the-art programming languages.
- They learn to manage, analyse and interpret large quantities of data gathered with real-world systems.
- They work independently using scientific methods to solve problems from all corners of the subject area.
- They become familiar with ethical and legal aspects related to the use and further processing of data.
To meet the growing demand for digital expertise in society, science and technology, a comprehensive and high-quality academic training in the field of data science is absolutely essential. The new NAWI Graz Master's Degree Programme Data Science is a unique combination of the foundational mathematics needed in applied statistics and state-of-the-art artificial intelligence methods along with practical skills such as data management and software engineering.
Focus Areas
The Master's Degree Programme Data Science is open to students from a variety of disciplines.Depending on your previous studies, you will take bridge courses to acquire all the necessary fundamental knowledge in mathematics and statistics, data management, software engineering, machine learning, etc.
In elective modules, students can specialise in different areas of data science:
- Advanced Mathematics for Data Science
- Modelling in Data Science
- Advanced Machine Learning
- Visual Computing
- Applied Data Analysis Methods and Computing
- Applications of Data Science
Admission
1. Admission Requirements
The prerequisite for admission is a completed bachelor’s degree in a relevant subject. Additionally, you need to provide evidence of competence in the English language.
Graduates of the following TU Graz or Uni Graz bachelor’s degree programmes are eligible for admission without any further requirements:
- Mathematics
- Computer Science
- Physics
- Information and Computer Engineering
- Software Engineering and Management
Graduates of a bachelor’s degree in mathematics, statistics, computer science or physics at another university in Austria or in an EU country are also eligible for admission without any further requirements. For more information, please contact study@tugraz.at.
Graduates of other bachelor’s degree programmes can contact study@tugraz.at to find out more and apply for admission.
2. Admission
- Admission and deadlines for international students
- Admission and deadlines for Austrian students who are registering to study at TU Graz for the first time
If you have already been admitted to a degree programme at TU Graz, or have studied at TU Graz before, please come to the Registrar's Office in person to complete your admission during the admission period.
Fragen zur Zulassung?
Contact study@tugraz.at
Career Prospects
Professional Fields
Developments in digitalisation are largely driven by a wider availability of data and advances in data-based technologies such as machine learning and artificial intelligence. Data scientists are therefore in high demand both in industry and in research.
Graduates of the Master’s Degree Programme Data Science can work in a variety of roles in research, development and industry, for example as
- data analysts, responsible for preparing large unstructured amounts of data as well as analysing and visualising this data.
- data scientists, using machine learning models and artificial intelligence to analyse data and preparing databases needed for predictions and decision-making.
- data engineers, focusing on data management including building, modelling and scaling databases and thus ensuring the flow of data within a company.
In research, data science has established itself as an independent scientific field. Data scientists conduct research using data science approaches founded in statistics, machine learning or artificial intelligence and thus provide invaluable support in almost all scientific disciplines, from the natural sciences to the humanities.
The Master’s Programme Data Science teaches the fundamentals needed to work in machine learning and artificial intelligence, two topics that have become almost omnipresent. The faster progress is made in these areas, the more important it is to have in-depth training that makes it possible to understand and classify new developments. Graduates of the Master’s Programme Data Science are not only trained to use various algorithms but can adapt and further develop them to take on current challenges.
