Master in Information and Communications Engineering

General

Program Description

The Master’s degree program Information and Communications Engineering builds on and develops skills acquired in the course of a Bachelor’s degree, like Information Technology, Electrical Engineering, Telematics, or Informatics. The Master’s degree is international in its orientation and is therefore taught entirely in English. In addition to offering broad fundamental knowledge, the branches of study allow students to gain in-depth qualifications for the development and use of modern information and communication technologies.

Specializations:

  • Autonomous Systems & Robotics
  • Networks & Communications
  • Business Engineering

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Autonomous Systems & Robotics

The branch of study Autonomous Systems and Robotics serves to provide academic education and qualification for professional activities in the development and operation of autonomous systems, which interact with their environment through mechatronic components, as well as covering the required scientific insights and methods. The course content encompasses both sound theoretical principles and practically relevant methodology. In addition, the degree program offers opportunities to acquire skills in areas of specialization, for instance in the fields of autonomous robotics, driving assistance systems, self-driving vehicles, networked sensor and actuator technology, networked control technology, and intelligent production systems.

Study objectives

Building on fundamental principles from the fields of Sensor and Actuator Technology, Robotics, and Control Systems Engineering students completing the branch of study Autonomous Systems and Robotics are well-equipped to:

  • Identify and understand new problems.
  • Improve concepts and methods from the field of Information Technology.
  • Recognize technological paradigm shifts.

Students have the opportunity to further enhance their training by selecting areas of specialization in various technical fields:

  • Autonomous Systems and Robotics (Autonomous Robotics, Automation Engineering, Intelligent Traffic, and Transport Systems).
  • Networks and Communications (Sensor Networks, Digital Signal Processors, Wireless Networks).
  • Informatics (Artificial Intelligence, System Security, Human-Machine Interaction).
  • Mathematics (Stochastic Processes, Data Analysis, Optimisation).

Networks and Communications

The branch of study Networks and Communications serves to provide academic education and qualification for professional activities in the development and operation of modern information and communication technologies, which require the application of scientific insights and methods.

The course content encompasses both sound theoretical principles and practically relevant methodology. In the first instance, students are taught the principles and methodologies of mobile communications, signal processing, and wireless sensor networks. During the course of the degree program, students can attend additional lectures, courses, and practical laboratory courses on mobile networks, pervasive computing, signal processing, measurement technology, robotics, image processing, and transport telematics. The program is further supplemented by a range of courses from technical informatics (e.g. system security, distributed systems), and technical mathematics (e.g. optimization, stochastics).

Study objectives

In the first instance, students are taught the principles and methodologies of mobile communications, signal processing, and wireless sensor networks. During the course of the degree program, students can attend additional lectures, courses, and practical laboratory courses on mobile networks, pervasive computing, signal processing, measurement technology, robotics, image processing, and transport telematics. The program is further supplemented by a range of courses from technical informatics (e.g. system security, distributed systems), and technical mathematics (e.g. optimization, stochastics).

Upon completion of the degree program, students are qualified to:

  • Improve concepts and methods from the field of information technology.
  • Identify and comprehend new problem definitions in this field.
  • Recognize technological paradigm shifts.

Business Engineering

The branch of study Business Engineering serves to provide academic education and qualification for professional activities that require the blending of technical and economic expertise. The program content focuses particularly on the application and implementation of scientific insights and methods, with an emphasis on integrated thinking when analyzing problems and when developing solutions for challenges in the sphere of economic and business.

Business engineers are furnished with the ability to establish connections between the modes of working and thinking that are specific to the different disciplines, and they are often deployed in companies or organizations which deal with technological solutions from an economic point of view. Business engineers are consequently qualified for professional activities in a very wide range of occupations.

Study objectives

Students acquire well-founded knowledge in the Master’s degree program’s introductory courses covering the basics of:

  • Value-Based Management.
  • Operations Management and Logistics.
  • Energy Economics: Theory and Policy.

Furthermore, they are well-versed in the advanced courses of this branch of study, which reflect the following areas:

  • Entrepreneurship & Innovation Management.
  • Operational Management & Supply Chain Management.
  • Management Accounting & Strategic Management.
  • Energy and Environmental Economics.

Students can additionally choose from a diverse range of supplementary business studies courses, such as:

  • Principles of International Law.
  • Evaluation in Organizations.
  • Market Research.

Students completing the branch of study Business Engineering are also qualified to scientifically address the subject matter of their chosen technical complement, either in the field of “Autonomous Systems and Robotics” or in the area of “Networks and Communications”.

Prerequisites

Bachelor’s degree programme Information Technology or a degree programme of equivalent academic value at another post-secondary educational institution. English language level C1.

Careers and occupational profiles

Graduates of the Master’s degree programme are qualified for a wide range of professional activities, for instance in the development or product management for technical systems

  • for automotive manufacturers and suppliers
  • in automation engineering
  • in microelectronics
  • in consultancy services
  • and in medical technology
  • corporate planning
  • business process reengineering

Campus and student life

There’s more to student life than lectures and exams. The University of Klagenfurt is located in western Klagenfurt, close to Lake Wörthersee. The university is one of the few campus universities in Austria and enjoys excellent transport links with Klagenfurt city centre. There are also a large number of restaurants and housing options in the area surrounding the campus. Since 2007, the campus has also been home to Austria’s most contemporary University Sports Institute (USI), which has an area of 1156 m² available for sporting activities. The USI offers a wide range of sports on campus, as well as a variety of sports camps all across Europe.

What other campus offers you the chance to

  • hike and ski in the mountains within 30 minutes?
  • swim in the Italian seas within two hours?
  • be at the Venice Biennale within two and a half hours?
  • stroll through the Old Town in Rovinj, Croatia, in three hours?
Last updated Jan 2020

About the School

The Faculty of Technical Sciences has been in existence since 2007, with the Department of Informatics being founded as early as 1986 and the Department of Mathematics and Statistics being established ... Read More

The Faculty of Technical Sciences has been in existence since 2007, with the Department of Informatics being founded as early as 1986 and the Department of Mathematics and Statistics being established in 1974. The Faculty comprises nine departments at present. Read less