English Language Master's Programme Computer Science

• Duration of study: 4 semesters
• ECTS credit points: 120
• Academic degree: Diplom-Ingenieurin or Diplom-Ingenieur (Dipl.Ing. or DI), equivalent to the Master of Science (MSc)
• Language of instruction: English

Students have a great deal of freedom when choosing court content. The master's degree programme Computer Science consists of a major subject (major), a minor subject (minor), a free-choice subject and a master’s thesis.

You can specialise still further in the following focal areas:

Algorithms and Theoretical Computer Science (as a major or minor): You learn the fundamentals of probability and information theory. In addition, you become familiar with the most important problems and algorithmic approaches used in combinatorial optimisation to solve these and acquire in-depth knowledge of discrete geometric structures.

Data Science (as a major or minor): You learn how to perform data mining and become familiar with the architecture of modern machine learning systems. For example, you perform statistical analyses on large amounts of data.

Games Engineering (as a major or minor): You acquire both fundamental and more detailed knowledge about game development, game design, real-time graphics and simulation and animation techniques. You can develop an initial game prototype.

Information Security (as a major or minor): You learn more about the challenge inherent in making the digital world more secure and, for example, how to create secure systems such as ATM cards or chips. You focus on practical aspects related to applying and using security mechanisms and understand the principles underlying these mechanisms.

Intelligent Systems (as a major or minor): You deepen your knowledge in the field of artificial intelligence and learn more about knowledge representation and inference methods. Furthermore, you familiarise yourself with natural language processing and intelligent user interfaces. You learn how to identify the correct approach to use to solve problems and to design and apply user interfaces.

Interactive and Visual Information Systems (as a major or minor): You explore the design, development and evaluation of user-based information systems. You also learn, for example, technologies that can be used for data representation, navigation and presentation. In addition, you familiarise yourself with web technologies and evaluation methods.

Machine Learning (as a major or minor): You learn fundamental mathematical skills and how to use machine and autonomous learning. You also take a closer look at methods used for deep learning and reinforcement learning.

Robotics (as a major or minor): You learn which methods can be used to develop intelligent robots and systems. In addition to acquiring basic theoretical knowledge about navigation, computer vision, machine learning, knowledge representation, decision-making, or speech comprehension, you also acquire the ability to design, apply and validate intelligent systems.

Software Technology (as a major or minor): You explore advanced techniques that are relevant to the development of complex and critical software. These include analysis, design, validation and verification techniques. Furthermore, you learn how to apply artificial intelligence techniques to software engineering. You also become familiar with programming languages and compiler construction.

Visual Computing (as a major or minor): You learn about computer graphics, image processing, geometric modelling, virtual and augmented reality and information visualisation. In addition to mastering the theoretical basics in these areas, you will learn how to apply these in practice. The areas of application range from medicine to industrial automation.

Supplementary Mathematical Foundations (minor): Numerical approximation methods are essential for the simulation of technical processes. You learn the fundamentals of numerical mathematics and focus on how to describe and understand the algorithms.

Supplementary Statistics (minor): You learn how to use methods to model and analyse dependent variables. You learn the fundamentals of multivariate statistics as well as methods used in dimensional reduction, classification and experimental design.

Supplementary Embedded and Mobile Systems (minor): You learn more about the architecture of embedded systems and their hardware and software, such as microcontrollers and basic software. Furthermore, you become familiar with the associated software development and design models.

• 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.

Graduates of the degree programme have both abstract and model-oriented thinking skills. They can successfully apply the knowledge and methodical approaches they have learned in industry, business and science:

• You design, operate and assess complex hardware and software systems in the information technology field, the automotive industry and in telecommunications.
• You conduct research at universities, other research institutions and industrial research and development departments.
• The systems you design are used, e.g. in smartphones and apps or in robotic systems.
• You work nationally and internationally, independently, or as an employee, e.g. in industry, young start-up companies, or in the service sector.