Applied Computer and Information Technology (ACIT)

Recent discoveries in artificial intelligence have enabled computers and machines to perform many cognitive tasks better than humans, from self-driving cars to diagnosing diseases in seconds.

The application of artificial intelligence methods is revolutionising the way we work and live. This specialisation involves learning how complex systems are designed and used to make autonomous decisions.

You will have access to different types of robotics and intelligent systems that can be used to test your work. This area involves programming, robotics and mathematics.

The need for innovation in the field of biomedical engineering has never been as important as right now. Neither has it ever been given so much attention from governments, organisations providing health care and the media.

It is evident that to provide world class health care, the need for technology that helps efficiency and accuracy is essential.

This specialisation will prepare you for a professional career in companies related to new and existing health products. You will gain an interdisciplinary background but with a focus in electrical engineering and instrumentation.

Today’s services need to be designed for thousands, even millions, of users and require infrastructures and architectural designs beyond common web servers and databases.

This specialisation area focuses on the practice of designing, developing and running massive-scale services and delivering software faster and with higher quality than before.

We embrace the DevOps philosophy, in that developers should be better trained in automation and deployment and operations should build mechanisms for developers to thrive. It is highly relevant for anyone who wants a career as a software developer.

The specialisation covers both infrastructure management and agile software delivery and automated testing and deployment, creating candidates with a practical competence in the entire cloud stack from the servers and clouds and all the way to the running service.

The wealth of data produced by us and the things around us offer new knowledge that can be useful for both business and government. It can assist in public transport, health care as well as provide tailored marked solutions.

With all the data available to us, however, a special expertise is needed to organise and harness it so that useful knowledge can be extracted.

This area offers a deep-dive into the storage and analysis of Big Data from a practical perspective. Data Science involves programming, use of advanced tools and infrastructures.

Application of mathematics to describe our world is a central element of many areas of our every-day life.

Physics, economics and meteorology are examples of disciplines where mathematicians work side-by-side with specialists to convert real phenomena into equations.

When these equations are translated into programme code to be executed in potentially massive computing clusters, simulations are generated that may be used for e.g. weather or economy forecasting.

This area is characterised by development of mathematical models, application of sophisticated methods for analysing and simulating the models as well as use of tools, programming and computational infrastructures.

You can expect to learn how your competence can be utilised in practice by the industry.

Robotics and Intelligent Systems are steadily revolutionising almost every aspect of our every-day life. From self-driving cars, autonomous ships, fully automated factories and drones that can deliver groceries.

It is a field with tremendous expected growth and demand for skilled multidisciplinary professionals in the convergence of electrical, mechanical and software engineering.

This specialisation provides a hands-on approach to the analysis, design, and control of robotic and autonomous systems.

With our emerging digital society, it is becoming essential that all electronic information and services should be accessible for all, regardless of devices, situations, and abilities.

As progress moves us forward, no-one should be left behind. This poses a great challenge on ICT infrastructure and services in our society.

Our world requires competent ICT professionals who can create universally accessible user interfaces that work for all. This specialisation offers a unique opportunity to become that professional.

To apply for Applied Artificial Intelligence you must have one of these:

• a bachelor’s degree in Computer Science, Computer Engineering or Informatics
• a bachelor’s degree in Information Technology or other equivalent qualifications, which include at least 80 ECTS within the field of computer science
• a bachelor’s degree in Electrical Engineering, Mathematics or Applied Mathematics with at least 10 ECTS of programming

To apply for Biomedical Engineering you must have a bachelor’s degree in one of these fields:

• Electrical Engineering
• Biomedical Engineering
• Mechanical Engineering
• Chemical Engineering
• Biotechnology Engineering
• Physics
• Computer Science
• Computer Engineering
• Informatics / Information Technology
• Statistics

To apply for Cloud-based Services and Operations you must have one of these:

• a bachelor’s degree in Computer science, Computer Engineering or Informatics
• a bachelor’s degree in Information Technology or other equivalent qualifications, with at least 80 ECTS within the field of computer science
• a bachelor’s degree in Electrical Engineering with at least 10 ECTS of programming

To apply for Data Science you must have one of these:

• a bachelor’s degree in Computer Science, Computer Engineering or Informatics / Information Technology
• a bachelor’s degree in Physics, Statistics, Mathematics or Applied Mathematics with at least 10 ECTS in programming
• a bachelor’s degree in other engineering subjects with at least 10 ECTS in Mathematics, 10 ECTS in Statistics and 10 ECTS in programming

To apply for Mathematical Modelling and Scientific Computing you must have one of these:

• a bachelor’s degree in an engineering discipline with at least 30 ECTS in total within
  Mathematics, Statistics and/or Scientific Computing
• a bachelor’s degree in Computer Science or Informatics / Information Technology with at least 30 ECTS in total within Mathematics, Statistics and/or Scientific Computing
• a bachelor’s degree in Mathematics
• a bachelor’s degree in Statistics
• a bachelor’s degree in Physics

To apply for Robotics and Control you must have a bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Physics, Mathematics, Applied Mathematics, Computer Science, Computer Engineering or Informatics/Information Technology, and 10 ECTS in programming and 25 ECTS in mathematics and/or statistics.

To apply for Universal Design of ICT you must have a bachelor’s degree in Computer Science, Computer Engineering, Informatics or Information Technology or equivalent, which at least 80 ECTS within the field of computer science.